Temporal vs Windmill

Agent access

1. ai-native userPoint an agent at llms.txt or agent-oriented docs

   weight 2 · round drawn
   Temporal✓fullprobed9/10

   A probe confirms Temporal serves a working llms.txt at docs.temporal.io/llms.txt (HTTP 200) explicitly following the llmstxt convention, directly satisfying the story. Missing for 10: no independent/community confirmation that agents were actually pointed at this file with success.

   • [probe] “PROBE llms.txt: HTTP 200 at https://docs.temporal.io/llms.txt # Temporal Platform Documentation > This file is a structured index of Tempor…”

   proof ↗⚑ flag

   Windmill✓fullprobed9/10

   Direct probe confirms a working llms.txt at https://www.windmill.dev/llms.txt (HTTP 200) and .md-suffixed docs pages (e.g., intro.md) that return clean markdown, both hallmarks of agent-oriented documentation designed for LLM consumption. Missing for 10: no independent/community confirmation that agents actually use these successfully in practice.

   • [probe] “PROBE llms.txt: HTTP 200 at https://www.windmill.dev/llms.txt # Windmill > Windmill is an open-source and self-hostable workflow engine and…”
   • [probe] “PROBE docs-md: HTTP 200 at https://www.windmill.dev/docs/intro.md # What is Windmill? > What is Windmill? An open-source workflow engine an…”

   proof ↗⚑ flag

2. ai-native userRun the product headlessly / in CI for automation

   weight 2 · round to Windmill
   Temporal✓fullprobed7/10

   Temporal's CLI (`temporal server start-dev`, `temporal workflow list`, `temporal operator namespace list`) and self-hosted Docker/Kubernetes deployment guides show the server and workers can be started and controlled entirely from the command line without a GUI, which is what CI/automation pipelines need; the GitHub docs also show pre-built Docker images that can be spun up non-interactively for CI test runs. missing for 10: explicit CI pipeline examples/config (e.g., GitHub Actions workflow files) and independent confirmation of headless CI usage beyond docs.

   • [claimed-docs] “temporal server start-dev”
   • [claimed-docs] “Use it to manage, monitor, and debug Temporal applications, plus run an embedded development service when you need fast local feedback.”
   • [claimed-docs] “Deployment: Choose a deployment approach (Docker, Kubernetes, or manual) and set up a production-ready Temporal Service.”
   • [claimed-docs] “This starts a complete Temporal Service with Web UI on your local machine.”
   • [github] “temporal operator namespace list temporal workflow list”
   • [github] “brew install temporal temporal server start-dev”
   • [github] “Execute the following commands to start a pre-built image along with all the dependencies.”
   • [probe] “official CLI documented at https://docs.temporal.io/cli”

   proof ↗⚑ flag

   Windmill✓fullprobed8/10

   Windmill provides a documented CLI (wmill) for deploying and syncing from Git, supports webhooks/schedules/API triggers for headless execution, and can self-host via Docker/Kubernetes for CI pipelines — all strongly supporting headless/CI automation use. Missing for 10: independent hands-on CI-pipeline examples or third-party corroboration of the CLI/webhook flow working seamlessly in a CI system beyond vendor docs.

   • [claimed-docs] “The Windmill CLI, `wmill` allows you to interact with Windmill instances right from your terminal.”
   • [claimed-docs] “Each time an item is deployed, Windmill will create and push a commit to the specified repository. ... Windmill can automatically deploy new…”
   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [claimed-docs] “Flows additionally expose version-pinned webhook endpoints that target a specific flow version by its numeric version ID instead of the late…”
   • [claimed-docs] “For small setups, use Docker and Docker Compose on a single instance. For larger and production use-cases, use our Helm chart to deploy on K…”
   • [probe] “official CLI documented at https://www.windmill.dev/docs/advanced/cli”

   proof ↗⚑ flag

3. ai-native userPlug MCP servers into this product so it can use their tools

   weight 3 · round drawn
   Temporal—none0/10

   The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na". (na/none harmonized at arena bring-up — see pipeline/scripts/na-harmonize.ts.)

   ⚑ flag

   Windmill—none0/10

   Windmill's MCP documentation (windmill-docs-17, windmill-probe-4) describes Windmill acting as an MCP *server* so external LLM clients (Claude, Cursor) can call Windmill's scripts/flows — the reverse of the story, which asks whether Windmill can consume/plug into external MCP servers to use their tools. The AI Agent steps (windmill-docs-20) mention connecting to AI providers/models, not MCP tool servers, so no evidence shows Windmill as an MCP client.

   • [claimed-docs] “With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your s…”
   • [probe] “official MCP server documented at https://www.windmill.dev/docs/core_concepts/mcp”
   • [claimed-docs] “AI Agents steps allow you to integrate AI agents directly into your Windmill flows. They provide an interface to connect with various AI pro…”

   proof ↗⚑ flag

4. ai-native userConnect an agent via an official MCP server

   weight 3 · round to Windmill
   Temporal—none0/10

   The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na". (na/none harmonized at arena bring-up — see pipeline/scripts/na-harmonize.ts.)

   ⚑ flag

   Windmill✓fullprobed8/10

   Windmill is a workflow/automation platform (not an agent), so publishing an official MCP server is squarely within its category, and docs confirm it: 'With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your scripts and flows from your client chat,' corroborated by a probe confirming the official MCP docs page. missing for 10: independent/hands-on confirmation of the MCP server working in practice beyond first-party docs.

   • [claimed-docs] “With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your s…”
   • [probe] “official MCP server documented at https://www.windmill.dev/docs/core_concepts/mcp”

   proof ↗⚑ flag

5. ai-native userUse an official CLI

   weight 2 · round to Windmill
   Temporal✓fullprobed7/10

   Temporal ships a well-documented official CLI (`temporal server start-dev`, `temporal workflow list`, `temporal operator namespace list`) confirmed by docs, GitHub install instructions (brew install temporal), and a live docs probe, and it's usable by any developer including AI-native builders integrating Temporal workflows/agents. missing for 10: no AI-specific CLI subcommands or agent-oriented tooling (e.g., natural-language CLI interaction, LLM-facing commands) and no independent hands-on review specifically praising the CLI's AI-native ergonomics.

   • [claimed-docs] “temporal server start-dev”
   • [claimed-docs] “Use it to manage, monitor, and debug Temporal applications, plus run an embedded development service when you need fast local feedback.”
   • [github] “temporal operator namespace list temporal workflow list”
   • [github] “brew install temporal temporal server start-dev”
   • [probe] “official CLI documented at https://docs.temporal.io/cli”

   proof ↗⚑ flag

   Windmill✓fullprobed8/10

   Windmill ships an official CLI (`wmill`) documented for interacting with instances from the terminal, deploying from Git repos, and syncing commits—confirmed by both docs and a dedicated probe. This directly satisfies the 'official CLI' story for AI-native/agentic workflows (e.g., scripting deployments, CI integration). Missing for 10: independent hands-on community reports specifically validating the CLI's AI-native usage patterns (e.g., agent-driven CLI invocation) beyond first-party docs.

   • [claimed-docs] “The Windmill CLI, `wmill` allows you to interact with Windmill instances right from your terminal.”
   • [claimed-docs] “Each time an item is deployed, Windmill will create and push a commit to the specified repository. ... Windmill can automatically deploy new…”
   • [probe] “official CLI documented at https://www.windmill.dev/docs/advanced/cli”

   proof ↗⚑ flag

6. ai-native userDrive the product through a documented public API

   weight 3 · round to Temporal
   Temporal~partialprobed6/10

   Temporal exposes well-documented programmatic interfaces — a CLI (temporal-docs-2/3/4, temporal-probe-3), SDKs for Python/TypeScript with dev walkthroughs (temporal-docs-17/18/31), and even an llms.txt index for AI consumption (temporal-probe-1) — which supports driving the product programmatically. However, explicit machine-readable API specs (OpenAPI/Swagger) were probed and all returned 404 (temporal-probe-2), suggesting no standardized REST API surface for AI-native tooling to consume directly, and evidence doesn't show a documented public gRPC/REST API contract beyond SDK/CLI usage. Missing for 10: a documented OpenAPI/REST or gRPC API spec accessible to AI agents, and independent confirmation that non-SDK/CLI clients can drive Temporal end-to-end.

   • [claimed-docs] “temporal server start-dev”
   • [claimed-docs] “Use it to manage, monitor, and debug Temporal applications, plus run an embedded development service when you need fast local feedback.”
   • [claimed-docs] “Google ADK integration”
   • [claimed-docs] “Vercel AI SDK integration”
   • [probe] “PROBE llms.txt: HTTP 200 at https://docs.temporal.io/llms.txt # Temporal Platform Documentation > This file is a structured index of Tempor…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”
   • [probe] “official CLI documented at https://docs.temporal.io/cli”

   proof ↗⚑ flag

   Windmill~partialprobed5/10

   Windmill exposes a CLI (wmill), webhooks, and various trigger mechanisms (HTTP routes, schedules, MCP) that let external systems and AI agents drive it (windmill-docs-9, windmill-docs-15, windmill-docs-16, windmill-docs-17, windmill-probe-4, windmill-probe-5), which is real evidence of programmatic/agentic control. However, a direct probe for a documented public REST/OpenAPI spec (the canonical 'documented public API') returned 404 on all candidate paths (windmill-probe-3), so no first-class API reference doc was found in evidence. missing for 10: a discoverable OpenAPI/REST API reference page, independent confirmation that third parties integrate via a general public API beyond webhooks/CLI/MCP.

   • [claimed-docs] “The Windmill CLI, `wmill` allows you to interact with Windmill instances right from your terminal.”
   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [claimed-docs] “Flows additionally expose version-pinned webhook endpoints that target a specific flow version by its numeric version ID instead of the late…”
   • [claimed-docs] “With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your s…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://www.windmill.dev/openapi.json, https://www.windmill.dev/swagger.json, https://www.windmill.d…”
   • [probe] “official MCP server documented at https://www.windmill.dev/docs/core_concepts/mcp”
   • [probe] “official CLI documented at https://www.windmill.dev/docs/advanced/cli”

   proof ↗⚑ flag

7. ai-native userIssue scoped/least-privilege API credentials for an agent

   weight 2 · round to Windmill
   Temporal~partialclaimed4/10

   Temporal Cloud exposes Namespaces, Service Accounts, and API keys that can be scoped per-user/service for least-privilege access (temporal-docs-4, temporal-docs-6), and Temporal is positioned for orchestrating AI agents (temporal-docs-17/18/19). However, there's no documented mechanism for dynamically issuing scoped credentials specifically to an AI agent identity — it's generic RBAC/API-key tooling repurposed, not an agent-specific credentialing feature. Missing for 10: agent-specific credential issuance workflow, dynamic/ephemeral scoped tokens for agents, and independent evidence of this being used for AI-agent least-privilege access.

   • [claimed-docs] “Use the extension to manage your Temporal Cloud control plane resources, including Namespaces, Users, Service Accounts, API keys, and perfor…”
   • [claimed-docs] “Namespaces: Create and manage Namespace isolation, retention, and related configuration.”
   • [claimed-docs] “Google ADK integration”
   • [claimed-docs] “Vercel AI SDK integration”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time. Reliably complete complex work at any…”

   proof ↗⚑ flag

   Windmill~partialprobed6/10

   Windmill documents scoped tokens following least-privilege principles (windmill-docs-8) and an underlying roles/permissions system (windmill-docs-7), and its MCP server for connecting agents (windmill-docs-17, windmill-probe-4) implies token-based auth for agent connections. However, there's no explicit documentation tying scoped token creation specifically to AI agent use-cases or showing a workflow for issuing/rotating agent-specific credentials. Missing for 10: explicit docs on generating scoped tokens specifically for AI agents/MCP clients, examples of scope granularity, and independent/hands-on confirmation that scoping works as claimed.

   • [claimed-docs] “Tokens can be scoped to restrict access to specific resources and actions, following the principle of least privilege.”
   • [claimed-docs] “Windmill provides a roles and permissions system that allows you to control access and manage permissions within your instance and workspace…”
   • [claimed-docs] “With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your s…”
   • [probe] “official MCP server documented at https://www.windmill.dev/docs/core_concepts/mcp”

   proof ↗⚑ flag

8. ai-native userBuild against official SDKs

   weight 2 · round to Temporal
   Temporal✓fullclaimed7/10

   Temporal documents official SDKs (Python, TypeScript, etc.) with dedicated AI-native integrations such as Google ADK and Vercel AI SDK, plus a dedicated AI solutions page describing orchestration of AI apps and agents via Durable Execution. missing for 10: independent/hands-on corroboration of these AI SDK integrations working in practice, and deeper documentation of agent-specific SDK features beyond the two named integrations.

   • [claimed-docs] “Google ADK integration”
   • [claimed-docs] “Vercel AI SDK integration”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time. Reliably complete complex work at any…”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time.”
   • [claimed-docs] “There's also a short walkthrough of how to use the Temporal primitives (Activities, Workflows, and Workers) to build and run a Temporal appl…”

   proof ↗⚑ flag

   Windmill—none0/10

   The evidence pack documents a CLI (wmill), an MCP server, and workflows-as-code in TypeScript/Python, but none of it describes official client SDKs/libraries for programmatically building against Windmill's API. A probe for an OpenAPI spec (often paired with SDK generation) returned 404s, further suggesting no discoverable official SDK artifact.

   • [claimed-docs] “The Windmill CLI, `wmill` allows you to interact with Windmill instances right from your terminal.”
   • [claimed-docs] “With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your s…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://www.windmill.dev/openapi.json, https://www.windmill.dev/swagger.json, https://www.windmill.d…”
   • [probe] “official CLI documented at https://www.windmill.dev/docs/advanced/cli”

   proof ↗⚑ flag

9. ai-native userSubscribe to events via webhooks

   weight 2 · round to Windmill
   Temporal—none0/10

   No evidence of Temporal offering webhook subscriptions for events; it provides Workflows, Schedules, and signal-based mechanisms, but nothing in the evidence pack describes a webhook subscription capability for external event notification.

   ⚑ flag

   Windmill~partialclaimed5/10

   Windmill documents webhooks extensively as a trigger mechanism—scripts and flows can be invoked via webhook endpoints, including version-pinned endpoints for specific flow versions—which lets external systems call into Windmill (windmill-docs-15, windmill-docs-16). However, this is primarily inbound triggering rather than an outbound event-subscription model where Windmill pushes notifications about internal events (e.g., job completion, failures) to a subscriber's webhook URL. Missing for 10: explicit documentation of outbound webhook subscriptions/event notifications, independent confirmation of an event-driven push webhook system, and any first-party mention of 'subscribe' semantics rather than pure trigger endpoints.

   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [claimed-docs] “Flows additionally expose version-pinned webhook endpoints that target a specific flow version by its numeric version ID instead of the late…”

   proof ↗⚑ flag

Agentic features

1. ai-native userGet AI-generated insights and suggestions from my data inside the product

   weight 2 · round to Windmill
   Temporal—none0/10

   The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na". (na/none harmonized at arena bring-up — see pipeline/scripts/na-harmonize.ts.)

   ⚑ flag

   Windmill~partialclaimed4/10

   Windmill offers AI Agent steps that let users wire LLM calls into flows to process data, and an MCP server/AI-generation feature for building scripts, but these are developer-facing building blocks rather than a built-in 'insights and suggestions from my data' feature (e.g., no dashboard/analytics AI surfaced automatically on stored data). Missing for 10: evidence of an out-of-the-box AI analytics/insights UI, proactive suggestions surfaced to end users without building a flow, and any independent corroboration of this specific use case.

   • [claimed-docs] “AI Agents steps allow you to integrate AI agents directly into your Windmill flows. They provide an interface to connect with various AI pro…”
   • [claimed-docs] “Review and deploy changes: Once the AI has edited items, ask it to review the changes and it opens the Compare & Deploy page with exactly th…”
   • [claimed-docs] “With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your s…”

   proof ↗⚑ flag

2. ai-native userSet up automations that run autonomously in the background

   weight 2 · round drawn
   Temporal✓fullcommunity8/10

   Temporal's core primitives—Workflows-as-Code, automatic Activity retries, crash-proof resume, and Schedules for cron-like recurring execution—directly enable background automations that run autonomously, and this is corroborated by community users describing workflows as durable and resumable across machines without manual orchestration. It also explicitly targets AI use cases (Google ADK, Vercel AI SDK integrations, 'orchestrate your workflows, AI apps, and agents ... across any length of time'). Missing for 10: no first-party AI-specific end-to-end autonomous-agent tutorial, and community reports flag real operational caveats (opaque error/anomaly handling, false-positive worker-death detection) that add friction to fully hands-off autonomous operation.

   • [claimed-docs] “Temporal delivers crash-proof execution by guaranteeing that applications resume exactly where they left off after crashes, network failures…”
   • [claimed-docs] “If an Activity fails, Temporal automatically retries it based on your configuration.”
   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time. Reliably complete complex work at any…”
   • [claimed-docs] “Schedules provide a more flexible and user-friendly approach than Temporal Cron Jobs.”
   • [claimed-docs] “guaranteeing that applications resume exactly where they left off after crashes, network failures, or infrastructure outages”
   • [community] “Temporal workflows must be deterministic and durable which means they are guaranteed to run and are resumable on other machines. Temporal do…”
   • [community] “I'm a user since over a year ago. The whole point of temporal is to distribute work across machines without worrying too much on orchestrati…”
   • [community] “The worst part for us has been error/anomaly handling. Workflows can sometimes hit a state where status reads in progress and errors aren't …”
   • [community] “if that upload/download 'some time' is longer than 5 seconds, the control plane will believe that the worker has died, it won't reschedule, …”

   proof ↗⚑ flag

   Windmill✓fullcommunity8/10

   Windmill natively supports scheduling scripts/flows via CRON with error/recovery handlers, plus a wide range of autonomous triggers (webhooks, queues, events, routes) that run in the background without manual intervention, and flows include retries, branching, and error handling for resilient unattended execution. This directly matches the AI-native automation story, reinforced by AI Agent steps that can be embedded into these autonomous flows. Missing for 10: no independent/hands-on evidence confirming long-running autonomous reliability at scale, and community comments raise open questions about error handling rather than confirming it in practice.

   • [claimed-docs] “A Schedule consists of a Script or Flow, its arguments, a CRON expression that controls the execution frequency and optional Error and Recov…”
   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”
   • [claimed-docs] “Branches allow to split the execution of the flow based on a condition. ... Branch all: all the branches will be executed.”
   • [claimed-docs] “A script or flow can return a top-level `wm_failure` field (string) to retag the run as a failure even though the runtime did not raise an e…”
   • [claimed-docs] “AI Agents steps allow you to integrate AI agents directly into your Windmill flows. They provide an interface to connect with various AI pro…”
   • [community] “This looks really cool. Is there error handling? For example, if the email sending fails for some reason can I either select the flow to con…”

   proof ↗⚑ flag

3. ai-native userDelegate tasks to a built-in AI assistant inside the product

   weight 3 · round to Windmill
   Temporal—none0/10

   The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na". (na/none harmonized at arena bring-up — see pipeline/scripts/na-harmonize.ts.)

   ⚑ flag

   Windmill~partialclaimed6/10

   Windmill's docs describe an in-product AI generation feature that can edit scripts/flows and then prompts the user to review and deploy those changes, indicating a built-in assistant users can delegate authoring tasks to (windmill-docs-21). However, evidence is thin on the assistant's scope, limitations, or independent hands-on validation, and separate 'AI Agents' flow steps (windmill-docs-20) are for building agentic workflows rather than being the assistant itself. Missing for 10: independent/community corroboration of the AI assistant's real-world reliability, more detail on what tasks it can handle end-to-end, and comparison to failure cases.

   • [claimed-docs] “Review and deploy changes: Once the AI has edited items, ask it to review the changes and it opens the Compare & Deploy page with exactly th…”
   • [claimed-docs] “AI Agents steps allow you to integrate AI agents directly into your Windmill flows. They provide an interface to connect with various AI pro…”

   proof ↗⚑ flag

4. ai-native userOperate the product with natural-language commands

   weight 2 · round to Windmill
   Temporal—none0/10

   The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na". (na/none harmonized at arena bring-up — see pipeline/scripts/na-harmonize.ts.)

   ⚑ flag

   Windmill~partialprobed6/10

   Windmill documents an MCP server that lets LLM clients trigger scripts/flows via natural-language chat (windmill-docs-17, windmill-probe-4) and an AI-generation feature where a user can ask the AI to edit and review flow/script changes (windmill-docs-21), showing real natural-language operability. However, evidence is thin—just two doc snippets—with no independent/hands-on corroboration of reliability or scope of NL commands. Missing for 10: hands-on/community validation of NL-driven operation, fuller documentation of what natural-language commands can accomplish beyond triggering and editing.

   • [claimed-docs] “With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your s…”
   • [claimed-docs] “Review and deploy changes: Once the AI has edited items, ask it to review the changes and it opens the Compare & Deploy page with exactly th…”
   • [probe] “official MCP server documented at https://www.windmill.dev/docs/core_concepts/mcp”

   proof ↗⚑ flag

Api quality

1. ai-native userExplore an interactive API reference with runnable examples

   weight 2 · round drawn
   Temporal—none0/10

   No evidence of an interactive API reference or runnable-example explorer; the openapi.json/swagger.json probes all returned 404, and docs mentions are limited to CLI reference and SDK guides, not an interactive playground.

   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”
   • [probe] “official CLI documented at https://docs.temporal.io/cli”

   proof ↗⚑ flag

   Windmill—none0/10

   The evidence pack shows an explicit probe for an OpenAPI/Swagger interactive reference that returned 404 on all candidate paths, and no other citation describes an interactive API reference with runnable examples (docs pages are static markdown/CLI/MCP references, not a runnable API explorer).

   • [probe] “PROBE openapi: all candidate paths 404 (https://www.windmill.dev/openapi.json, https://www.windmill.dev/swagger.json, https://www.windmill.d…”

   proof ↗⚑ flag

2. ai-native userDownload a machine-readable API spec (OpenAPI or equivalent)

   weight 2 · round drawn
   Temporal—none0/10

   A direct probe for OpenAPI/Swagger spec files at Temporal's docs domain returned 404 for all candidate paths, and no evidence pack item references a downloadable machine-readable API spec; Temporal's public API is gRPC/Protobuf-based rather than exposing an OpenAPI spec.

   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”

   proof ↗⚑ flag

   Windmill—none0/10

   Windmill exposes a CLI and API-driven platform, so a downloadable OpenAPI spec is a fair ask, but the evidence pack explicitly shows a probe attempt failing to find any OpenAPI/swagger file at standard paths (all 404s), and no docs page links to a machine-readable spec.

   • [probe] “PROBE openapi: all candidate paths 404 (https://www.windmill.dev/openapi.json, https://www.windmill.dev/swagger.json, https://www.windmill.d…”

   proof ↗⚑ flag

3. ai-native userTest against a sandbox environment without touching production data

   weight 1 · round to Temporal
   Temporal~partialcommunity6/10

   Temporal ships a local dev server (temporal server start-dev / embedded dev service) for fast local feedback plus Namespace isolation to separate environments, which together let a user run and test workflows without touching production data. However, there's no dedicated 'AI sandbox' concept or agent-specific sandbox tooling, and community notes flag self-hosting documentation gaps and Temporal Cloud immaturity that could affect confidence in a clean test/prod separation. Missing for 10: an explicit sandbox/staging environment feature (vs. generic local dev + namespaces), AI-specific sandbox tooling for agent testing, and independent hands-on confirmation that production data isolation works as described.

   • [claimed-docs] “temporal server start-dev”
   • [claimed-docs] “Use it to manage, monitor, and debug Temporal applications, plus run an embedded development service when you need fast local feedback.”
   • [claimed-docs] “Namespaces: Create and manage Namespace isolation, retention, and related configuration.”
   • [claimed-docs] “This starts a complete Temporal Service with Web UI on your local machine.”
   • [github] “brew install temporal temporal server start-dev”
   • [community] “The worst part for us has been error/anomaly handling. Workflows can sometimes hit a state where status reads in progress and errors aren't …”
   • [community] “Temporal Cloud is really, really new... it was in some kind of closed beta for a while, with a 'contact us' form, as recently as a couple mo…”

   proof ↗⚑ flag

   Windmill—none0/10

   The evidence pack covers Windmill's languages, orchestration, permissions, CLI, git sync, and MCP integration, but nowhere documents a dedicated sandbox/staging workspace or test-mode that isolates execution from production data; a community comment even raises this exact question (non-destructive branch testing) without an answered example.

   • [community] “My first questions with any new tool of this kind: Can I run/validate branch versions non-destructively as part of pre-merge checks? Can I r…”

   proof ↗⚑ flag

4. ai-native userRely on versioned APIs with a documented deprecation policy

   weight 2 · round drawn
   Temporal—none0/10

   Evidence covers Worker Versioning for workflow code compatibility, not a documented versioning/deprecation policy for Temporal's own APIs (SDKs, gRPC, REST). The OpenAPI probe returned 404s and no changelog or deprecation-policy documentation is present in the pack.

   • [claimed-docs] “The Worker Versioning feature allows you to tag your Workers and programmatically roll them out in versioned deployments, so that old Worker…”
   • [claimed-docs] “It applies a code change to new Workflow Executions while avoiding disruptive changes to in-progress Workflow Executions.”
   • [claimed-docs] “you can modify your Workflow Definition so that new executions use the updated code, while existing ones continue running the original versi…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”

   proof ↗⚑ flag

   Windmill—none0/10

   Windmill exposes webhooks and version-pinned flow endpoints (windmill-docs-16), and a CLI/API surface exists, but there is no evidence of a documented API versioning scheme or deprecation policy; OpenAPI spec probes returned 404s (windmill-probe-3) and no docs mention deprecation practices.

   • [claimed-docs] “Flows additionally expose version-pinned webhook endpoints that target a specific flow version by its numeric version ID instead of the late…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://www.windmill.dev/openapi.json, https://www.windmill.dev/swagger.json, https://www.windmill.d…”

   proof ↗⚑ flag

Agent integration

1. ai-native userHave an agent create, update, and activate a workflow programmatically through the public API

   weight 2 · round drawn
   Temporal~partialprobed5/10

   Temporal exposes SDKs, CLI, and gRPC/programmatic APIs to start, signal, and schedule workflows, and documents AI agent integrations (Google ADK, Vercel AI SDK) showing agents can drive workflows programmatically, but there is no explicit documentation of an agent using a public REST/OpenAPI-style API to 'create, update, and activate' a workflow end-to-end, and the openapi probe returned 404s. missing for 10: a documented public REST/OpenAPI spec for workflow lifecycle management, explicit agent-driven create/update/activate example, and independent confirmation of AI-agent programmatic control beyond marketing copy.

   • [claimed-docs] “Google ADK integration”
   • [claimed-docs] “Vercel AI SDK integration”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time. Reliably complete complex work at any…”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time.”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”
   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”

   proof ↗⚑ flag

   Windmill~partialprobed5/10

   Windmill exposes multiple programmatic paths (CLI `wmill`, git-sync auto-deploy, version-pinned webhooks, and an MCP server that lets LLM clients trigger scripts/flows) that together suggest an agent could manage workflows without the UI, and AI-generation docs show agents can edit items and reach a deploy step. However, the story specifically requires create/update/activate via the public API, and the evidence never surfaces a documented REST/OpenAPI spec (the openapi.json probe 404'd on all candidate paths) nor confirms MCP or CLI can create/activate flows rather than just trigger existing ones. missing for 10: explicit public API/OpenAPI docs for flow CRUD, confirmation that agent-driven creation/activation (not just triggering) works end-to-end without human deploy step.

   • [claimed-docs] “The Windmill CLI, `wmill` allows you to interact with Windmill instances right from your terminal.”
   • [claimed-docs] “Each time an item is deployed, Windmill will create and push a commit to the specified repository. ... Windmill can automatically deploy new…”
   • [claimed-docs] “Flows additionally expose version-pinned webhook endpoints that target a specific flow version by its numeric version ID instead of the late…”
   • [claimed-docs] “With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your s…”
   • [claimed-docs] “Review and deploy changes: Once the AI has edited items, ask it to review the changes and it opens the Compare & Deploy page with exactly th…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://www.windmill.dev/openapi.json, https://www.windmill.dev/swagger.json, https://www.windmill.d…”
   • [probe] “official MCP server documented at https://www.windmill.dev/docs/core_concepts/mcp”
   • [probe] “official CLI documented at https://www.windmill.dev/docs/advanced/cli”

   proof ↗⚑ flag

2. ai-native userExpose my workflows or connected app actions as MCP tools that an external agent can call

   weight 3 · round to Windmill
   Temporal—none0/10

   No evidence of Temporal exposing workflows or actions as MCP tools for external agents; the pack shows AI SDK/ADK integrations (Temporal as orchestrator calling AI tools) but nothing about serving an MCP endpoint for outside agents to call into Temporal workflows.

   • [claimed-docs] “Google ADK integration”
   • [claimed-docs] “Vercel AI SDK integration”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time. Reliably complete complex work at any…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”

   proof ↗⚑ flag

   Windmill✓fullprobed8/10

   Windmill has documented, first-party MCP server support that exposes scripts/flows as tools callable by external MCP-compatible agents (Claude, Cursor, etc.), directly matching the story. missing for 10: independent/hands-on confirmation of the MCP feature working, and more detail on scoping which specific workflows/actions are exposed as tools.

   • [claimed-docs] “With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your s…”
   • [probe] “official MCP server documented at https://www.windmill.dev/docs/core_concepts/mcp”

   proof ↗⚑ flag

Ai authoring

1. ai-native userGenerate or edit a workflow from a natural-language prompt

   weight 2 · round to Windmill
   Temporal—none0/10

   Temporal explicitly positions itself as 'Workflows-as-Code' rather than a no-code/prompt-driven engine (temporal-docs-11), and while it offers AI/agent orchestration integrations (Vercel AI SDK, Google ADK) for building AI apps, there is no evidence of a feature that generates or edits workflow definitions from natural-language prompts.

   • [claimed-docs] “Temporal isn't a no-code Workflow engine — it is Workflows-as-Code.”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time. Reliably complete complex work at any…”
   • [claimed-docs] “Google ADK integration”
   • [claimed-docs] “Vercel AI SDK integration”

   proof ↗⚑ flag

   Windmill~partialclaimed6/10

   windmill-docs-21 explicitly documents AI-driven editing of scripts/flows/apps followed by a review-and-deploy step, and windmill-docs-20 shows AI agent steps can be embedded in flows, indicating genuine natural-language generation/editing support. However, evidence is purely first-party docs with no independent/hands-on corroboration of prompt-to-workflow quality or reliability. Missing for 10: independent/community validation of AI-generated flow quality, details on scope/limits of NL-to-workflow generation, and confirmation this works for full flow creation (not just editing existing items).

   • [claimed-docs] “Review and deploy changes: Once the AI has edited items, ask it to review the changes and it opens the Compare & Deploy page with exactly th…”
   • [claimed-docs] “AI Agents steps allow you to integrate AI agents directly into your Windmill flows. They provide an interface to connect with various AI pro…”

   proof ↗⚑ flag

Ai steps

1. ai-native userAdd AI agent or LLM steps inside a workflow, with model choice and tool use

   weight 3 · round to Windmill
   Temporal~partialclaimed6/10

   Temporal explicitly markets AI-workflow orchestration and ships integrations with Google ADK and the Vercel AI SDK, both of which support LLM steps with model selection and tool use inside Temporal Activities/Workflows, but the evidence lacks concrete detail on how model choice or tool invocation is configured within a Temporal workflow. missing for 10: explicit code examples or docs showing model selection, tool-calling configuration, or a dedicated AI-agent primitive, and independent/hands-on confirmation of these integrations working end-to-end.

   • [claimed-docs] “Google ADK integration”
   • [claimed-docs] “Vercel AI SDK integration”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time. Reliably complete complex work at any…”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time.”

   proof ↗⚑ flag

   Windmill✓fullclaimed8/10

   Windmill has documented AI Agent steps that integrate directly into flows, connecting to various AI providers/models and supporting tool use within the workflow orchestration engine (windmill-docs-20). This directly matches the story of adding LLM/agent steps with model choice and tool use inside a workflow. Missing for 10: independent/hands-on corroboration of tool-use behavior and broader detail on model selection UX beyond the single docs page.

   • [claimed-docs] “AI Agents steps allow you to integrate AI agents directly into your Windmill flows. They provide an interface to connect with various AI pro…”

   proof ↗⚑ flag

1. ai-native userPerform bulk operations across many items at once

   weight 2 · round to Windmill
   Temporal—none0/10

   The evidence pack describes Temporal's workflow, scheduling, retry, and CLI capabilities but contains no citation showing a bulk/batch operation feature (e.g., batch signal/terminate across many workflow executions) that would let an AI-native user act on many items at once; 'temporal workflow list' only shows listing, not batch action.

   • [github] “temporal operator namespace list temporal workflow list”
   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Schedules provide a more flexible and user-friendly approach than Temporal Cron Jobs.”

   proof ↗⚑ flag

   Windmill~partialclaimed5/10

   Windmill's flows support parallelism, branching, and fault-tolerant orchestration (windmill-docs-5, windmill-docs-12), which implies capability to iterate/process many items in a flow, but no evidence explicitly documents a for-loop/bulk-iteration step, batch processing UI, or examples of running an operation across a large item set. missing for 10: explicit for-loop/iterator flow step documentation, evidence of scaling to large item counts, and any hands-on confirmation of bulk operation performance.

   • [claimed-docs] “Workflows as code let you define orchestration logic directly in TypeScript or Python, using familiar language constructs like functions, co…”
   • [claimed-docs] “Branches allow to split the execution of the flow based on a condition. ... Branch all: all the branches will be executed.”
   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”

   proof ↗⚑ flag

2. ai-native userDefine rules that trigger actions automatically on events

   weight 3 · round to Windmill
   Temporal~partialclaimed5/10

   Temporal supports workflows-as-code with retries, signals, and Schedules for time-based triggering (temporal-docs-10, temporal-docs-15), and can be invoked from external events via API/signal calls, but it is not a declarative rules engine where an AI-native user defines event-condition-action rules directly — it requires writing workflow code rather than declarative trigger rules. missing for 10: a declarative rule-definition interface (no-code/low-code trigger authoring), native event-source bindings/webhooks for arbitrary external events, and evidence of AI-native users defining rules rather than developers writing workflow code.

   • [claimed-docs] “If an Activity fails, Temporal automatically retries it based on your configuration.”
   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Temporal isn't a no-code Workflow engine — it is Workflows-as-Code.”
   • [claimed-docs] “Schedules provide a more flexible and user-friendly approach than Temporal Cron Jobs.”

   proof ↗⚑ flag

   Windmill✓fullcommunity8/10

   Windmill lets users define scripts/flows triggered automatically by schedules (CRON), webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, and other event sources, with retry/error handling and branching logic for rule-based automation. This directly matches the story of defining rules that trigger actions on events, with strong first-party documentation. Missing for 10: independent/hands-on verification of complex event-rule chains and no community corroboration specifically confirming event-trigger reliability in production.

   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [claimed-docs] “A Schedule consists of a Script or Flow, its arguments, a CRON expression that controls the execution frequency and optional Error and Recov…”
   • [claimed-docs] “Flows additionally expose version-pinned webhook endpoints that target a specific flow version by its numeric version ID instead of the late…”
   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”
   • [claimed-docs] “Branches allow to split the execution of the flow based on a condition. ... Branch all: all the branches will be executed.”
   • [community] “This looks really cool. Is there error handling? For example, if the email sending fails for some reason can I either select the flow to con…”

   proof ↗⚑ flag

3. ai-native userSchedule recurring jobs or workflows

   weight 2 · round to Windmill
   Temporal✓fullcommunity8/10

   Temporal's native Schedules feature explicitly supports recurring workflow execution with cron-like and human-meaningful timing (phase offsets, specific times), documented as more flexible than cron jobs, and corroborated by community mention of Schedules as 'cron but more flexible.' AI-native use is directly supported via AI SDK/ADK integrations and orchestration-for-agents messaging. missing for 10: independent hands-on validation specifically of the Schedules feature (community evidence covers general workflow reliability, not scheduling specifically), and no evidence of scheduling-specific failure modes or edge-case limits.

   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Use a phase offset when you need your recurring Schedule to fire at a specific, human-meaningful time like every 10 days at 5pm UTC on a par…”
   • [claimed-docs] “Schedules provide a more flexible and user-friendly approach than Temporal Cron Jobs.”
   • [community] “After you deploy new workflow code, you can reset a workflow's execution state to before a given statement was called, and it will re-run fr…”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time. Reliably complete complex work at any…”
   • [claimed-docs] “Google ADK integration”
   • [claimed-docs] “Vercel AI SDK integration”

   proof ↗⚑ flag

   Windmill✓fullclaimed9/10

   Windmill has a dedicated Scheduling core concept supporting CRON-based recurring execution of scripts/flows with error/recovery handlers, plus flexible triggers (webhooks, events, etc.) and retries/branching for robust workflows, all documented first-party. missing for 10: no independent/hands-on community confirmation specifically of scheduling reliability in production.

   • [claimed-docs] “A Schedule consists of a Script or Flow, its arguments, a CRON expression that controls the execution frequency and optional Error and Recov…”
   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”
   • [claimed-docs] “Branches allow to split the execution of the flow based on a condition. ... Branch all: all the branches will be executed.”

   proof ↗⚑ flag

4. ai-native userVersion, review, and roll back my automations

   weight 1 · round drawn
   Temporal~partialcommunity6/10

   Temporal's Worker Versioning lets you tag workers and roll out new code paths while old executions keep running on old code (temporal-docs-13/14/29), and community evidence confirms a workflow can be reset to an earlier state and re-run — effectively a rollback (temporal-comm-8). The Web UI/CLI (temporal-gh-2, temporal-probe-3) supports reviewing workflow execution history and state, but this is infrastructure-level versioning of workers/workflow code, not a first-class 'version/review/rollback automations' feature with diffing or audit UI, and community notes documentation gaps around error/anomaly handling (temporal-comm-3). Missing for 10: explicit documented rollback/reset command in official docs, a dedicated review/diff UI for workflow definition changes, and AI-native framing of this capability.

   • [claimed-docs] “The Worker Versioning feature allows you to tag your Workers and programmatically roll them out in versioned deployments, so that old Worker…”
   • [claimed-docs] “It applies a code change to new Workflow Executions while avoiding disruptive changes to in-progress Workflow Executions.”
   • [claimed-docs] “you can modify your Workflow Definition so that new executions use the updated code, while existing ones continue running the original versi…”
   • [community] “After you deploy new workflow code, you can reset a workflow's execution state to before a given statement was called, and it will re-run fr…”
   • [github] “Try Temporal Web UI by opening http://localhost:8233 for viewing your sample workflows executing on Temporal.”
   • [community] “The worst part for us has been error/anomaly handling. Workflows can sometimes hit a state where status reads in progress and errors aren't …”

   proof ↗⚑ flag

   Windmill~partialclaimed6/10

   Windmill documents versioning via Git sync (each deploy creates a commit, auto-deploy from repo) and version-pinned webhook endpoints for flows, plus a 'Compare & Deploy' review UI when AI edits items. However, there is no explicit rollback feature or UI documented (e.g., one-click revert to a prior version), and no independent/hands-on confirmation of rollback behavior. missing for 10: explicit rollback/revert mechanism, independent verification of version history UI and rollback workflow.

   • [claimed-docs] “Each time an item is deployed, Windmill will create and push a commit to the specified repository. ... Windmill can automatically deploy new…”
   • [claimed-docs] “Flows additionally expose version-pinned webhook endpoints that target a specific flow version by its numeric version ID instead of the late…”
   • [claimed-docs] “Review and deploy changes: Once the AI has edited items, ask it to review the changes and it opens the Compare & Deploy page with exactly th…”
   • [claimed-docs] “The Windmill CLI, `wmill` allows you to interact with Windmill instances right from your terminal.”

   proof ↗⚑ flag

Code steps

1. developerDrop into real code (JavaScript or Python) as a step inside a workflow

   weight 3 · round to Windmill
   Temporal✓fullcommunity7/10

   Temporal workflows and activities are literally written as real code (TypeScript/JavaScript, Python, Go, Java) with Workflows-as-Code being a core design principle, and Activities are standalone functions that can run arbitrary code as a step — docs explicitly say 'Temporal isn't a no-code Workflow engine — it is Workflows-as-Code' and reference TypeScript/Python SDK development guides. missing for 10: no explicit code snippet in evidence showing an inline JS/Python function step, and no independent hands-on confirmation of writing custom code inside a workflow step beyond SDK doc mentions.

   • [claimed-docs] “Temporal isn't a no-code Workflow engine — it is Workflows-as-Code.”
   • [claimed-docs] “But if you just need to execute a single Activity, use a Standalone Activity.”
   • [claimed-docs] “There's also a short walkthrough of how to use the Temporal primitives (Activities, Workflows, and Workers) to build and run a Temporal appl…”
   • [claimed-docs] “Vercel AI SDK integration”
   • [community] “I'm a user since over a year ago. The whole point of temporal is to distribute work across machines without worrying too much on orchestrati…”

   proof ↗⚑ flag

   Windmill✓fullcommunity9/10

   Windmill's core model is scripts written in real code (TypeScript, Python, Go, etc.) composed into flows, with 'workflows as code' letting developers write orchestration logic directly in TypeScript/Python using native functions, conditionals, and loops as flow steps. This is corroborated by GitHub docs describing scripts being composed into flows, and community discussion confirms multi-language script support. Missing for 10: independent hands-on verification beyond community anecdotes and no mention of limitations in language runtime sandboxing raised by a commenter.

   • [claimed-docs] “It supports coding in TypeScript, Python, Go, PHP, Bash, C#, SQL, Rust, Ruby and R, or any Docker image”
   • [claimed-docs] “Workflows as code let you define orchestration logic directly in TypeScript or Python, using familiar language constructs like functions, co…”
   • [claimed-docs] “An orchestrator for assembling these functions into efficient, low-latency flows, using either a low-code builder or YAML”
   • [github] “Scripts are turned into sharable UIs automatically, and can be composed together into flows or used into richer apps built with low-code.”
   • [community] “Was hoping it allowed my runtime. I have a bunch of scripts in NodeJS, Python 2, C#, etc. I don't care to rewrite them and/or write scripts …”

   proof ↗⚑ flag

Connector dev

1. developerBuild a custom connector or private integration with a documented developer platform, SDK, or CLI

   weight 2 · round drawn
   Temporal✓fullprobed8/10

   Temporal provides SDKs (TypeScript, Python, etc.), a documented CLI (temporal server start-dev, workflow/namespace commands), self-hosted deployment guides, and integration points (Payload Codecs, Worker Versioning, AI SDK integrations) that let developers build custom integrations and extend the platform. Community evidence corroborates real-world SDK use and even a responsive process for reporting/fixing library issues, though some note documentation gaps for self-hosting. Missing for 10: a public/documented plugin marketplace or officially published OpenAPI spec (probe found no openapi.json) and stronger independent validation of extensibility for private integrations beyond SDK use.

   • [claimed-docs] “temporal server start-dev”
   • [claimed-docs] “Use it to manage, monitor, and debug Temporal applications, plus run an embedded development service when you need fast local feedback.”
   • [claimed-docs] “The Worker Versioning feature allows you to tag your Workers and programmatically roll them out in versioned deployments, so that old Worker…”
   • [claimed-docs] “Google ADK integration”
   • [claimed-docs] “Vercel AI SDK integration”
   • [claimed-docs] “Choose a deployment approach (Docker, Kubernetes, or manual) and set up a production-ready Temporal Service.”
   • [github] “temporal operator namespace list temporal workflow list”
   • [github] “brew install temporal temporal server start-dev”
   • [community] “During an evaluation I found a bug in their library. I went to their Slack, posted about it, and they gave a workaround in 15 minutes, creat…”
   • [probe] “official CLI documented at https://docs.temporal.io/cli”

   proof ↗⚑ flag

   Windmill✓fullprobed8/10

   Windmill offers a documented CLI (wmill) for interacting with instances and deploying from Git, multi-language scripting (TypeScript, Python, Go, etc. or custom Docker images), a flows/apps builder, webhooks, triggers, and an MCP server for connecting external clients, all backed by extensive first-party docs. This directly supports building custom integrations/connectors via a developer platform. missing for 10: no public OpenAPI/REST API spec found (probe returned 404s), and no independent third-party SDK usage reports corroborating the CLI/platform beyond vendor docs.

   • [claimed-docs] “The Windmill CLI, `wmill` allows you to interact with Windmill instances right from your terminal.”
   • [claimed-docs] “It supports coding in TypeScript, Python, Go, PHP, Bash, C#, SQL, Rust, Ruby and R, or any Docker image”
   • [claimed-docs] “Windmill supports both UI-based operations via its webIDE and low-code builders, as well as CLI deployments from a Git repository”
   • [claimed-docs] “Each time an item is deployed, Windmill will create and push a commit to the specified repository. ... Windmill can automatically deploy new…”
   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [claimed-docs] “With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your s…”
   • [probe] “official MCP server documented at https://www.windmill.dev/docs/core_concepts/mcp”
   • [probe] “official CLI documented at https://www.windmill.dev/docs/advanced/cli”
   • [probe] “PROBE openapi: all candidate paths 404 (https://www.windmill.dev/openapi.json, https://www.windmill.dev/swagger.json, https://www.windmill.d…”

   proof ↗⚑ flag

Data mapping

1. ops userMap and transform data between steps with expressions, functions, or formulas

   weight 2 · round to Windmill
   Temporal~partialclaimed3/10

   Temporal is explicitly Workflows-as-Code (temporal-docs-11), meaning any data mapping/transformation between Activities/Workflow steps happens via developer-written functions in a general-purpose language, not through visual expressions or formulas aimed at ops users. There is no documentation of a dedicated expression language, formula editor, or low-code mapping UI — transformation is only possible by writing code, which is a poor fit for a non-developer 'ops' persona. Missing for 10: an explicit expression/formula syntax, any UI-based data mapping tool, or documentation showing ops (non-coding) users transforming data between steps.

   • [claimed-docs] “Temporal isn't a no-code Workflow engine — it is Workflows-as-Code.”
   • [claimed-docs] “But if you just need to execute a single Activity, use a Standalone Activity.”

   proof ↗⚑ flag

   Windmill✓fullclaimed8/10

   Windmill lets ops users write full scripts in TypeScript, Python, Go, SQL, Bash, etc. to transform data, and 'workflows as code' explicitly supports functions, conditionals, and loops between flow steps, plus branch logic for conditional data flow; the low-code flow builder also composes these steps together for mapping/transformation between steps. Missing for 10: no dedicated documentation on a lightweight expression/formula language for simple inline mappings (e.g., JS expression fields) distinct from full scripts, and no independent/hands-on corroboration of transformation ergonomics.

   • [claimed-docs] “It supports coding in TypeScript, Python, Go, PHP, Bash, C#, SQL, Rust, Ruby and R, or any Docker image”
   • [claimed-docs] “An orchestrator for assembling these functions into efficient, low-latency flows, using either a low-code builder or YAML”
   • [claimed-docs] “Workflows as code let you define orchestration logic directly in TypeScript or Python, using familiar language constructs like functions, co…”
   • [claimed-docs] “Branches allow to split the execution of the flow based on a condition. ... Branch all: all the branches will be executed.”
   • [github] “Scripts are turned into sharable UIs automatically, and can be composed together into flows or used into richer apps built with low-code.”

   proof ↗⚑ flag

Credentials

1. ops userStore connection credentials centrally, share them with my team, and control who can use which credential

   weight 3 · round to Windmill
   Temporal—none0/10

   Evidence only shows Temporal Cloud's own API keys/Service Accounts/SAML SSO for controlling access to the Temporal control plane itself, not a general credential-store feature where ops can centrally store arbitrary external connection secrets and grant per-credential usage rights to team members/workflows. No mention of a 'connections' or secrets vault construct with per-credential ACLs.

   • [claimed-docs] “Use the extension to manage your Temporal Cloud control plane resources, including Namespaces, Users, Service Accounts, API keys, and perfor…”
   • [claimed-docs] “SAML SSO included”

   proof ↗⚑ flag

   Windmill~partialclaimed6/10

   Windmill documents centrally encrypted Variables/Secrets at the workspace level plus a broader roles/permissions system and scoped tokens for least-privilege access, which together support storing and sharing credentials with some access control. However, the evidence doesn't show fine-grained per-credential ACLs (e.g., which specific users/groups can use a specific secret) beyond general workspace/role permissions. Missing for 10: explicit per-resource/credential-level permission granularity, audit logging of credential usage, and independent/hands-on confirmation of this governance in practice.

   • [claimed-docs] “All Variables (not just secrets) are encrypted with a workspace specific symmetric key to avoid leakage.”
   • [claimed-docs] “Windmill provides a roles and permissions system that allows you to control access and manage permissions within your instance and workspace…”
   • [claimed-docs] “Tokens can be scoped to restrict access to specific resources and actions, following the principle of least privilege.”

   proof ↗⚑ flag

Human in the loop

1. ops userPause a workflow to wait for human approval or input before it continues

   weight 2 · round drawn
   Temporal—none0/10

   The evidence pack describes Temporal's durable execution, retries, versioning, and scheduling, but never mentions Signals, Updates, or any workflow-pause-for-human-input/approval mechanism that would let an ops user halt a workflow pending manual approval. Missing for 10: any mention of Signal/Update APIs, human-in-the-loop approval patterns, or docs describing waiting on external input before workflow continuation.

   ⚑ flag

   Windmill—none0/10

   The evidence pack covers flow branching, retries, error handling, and scheduling, but contains no mention of a suspend/approval step, human-in-the-loop gate, or 'wait for input' mechanism in Windmill flows. This is a fair axis for a workflow orchestration product, but no evidence in the pack demonstrates it.

   • [claimed-docs] “Branches allow to split the execution of the flow based on a condition. ... Branch all: all the branches will be executed.”
   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”
   • [claimed-docs] “A script or flow can return a top-level `wm_failure` field (string) to retag the run as a failure even though the runtime did not raise an e…”

   proof ↗⚑ flag

Versioning

1. developerVersion workflows through source control or environments and promote changes from dev to production

   weight 2 · round to Windmill
   Temporal✓fullclaimed7/10

   Temporal's Workflows-as-Code model means workflow definitions live in normal source-controlled code, and its Worker Versioning feature explicitly lets teams tag deployments so new code paths roll out to new executions while in-progress ones keep running old versions — directly supporting versioning and safe promotion of changes. Namespaces provide isolation that can be used to separate dev/staging/production environments, and self-hosted/cloud deployment guides support multi-environment setups. Missing for 10: explicit dev/stage/prod promotion pipeline documentation or CI/CD integration guidance, and independent hands-on confirmation of the versioning workflow in production use.

   • [claimed-docs] “The Worker Versioning feature allows you to tag your Workers and programmatically roll them out in versioned deployments, so that old Worker…”
   • [claimed-docs] “It applies a code change to new Workflow Executions while avoiding disruptive changes to in-progress Workflow Executions.”
   • [claimed-docs] “you can modify your Workflow Definition so that new executions use the updated code, while existing ones continue running the original versi…”
   • [claimed-docs] “Namespaces: Create and manage Namespace isolation, retention, and related configuration.”
   • [claimed-docs] “Temporal isn't a no-code Workflow engine — it is Workflows-as-Code.”

   proof ↗⚑ flag

   Windmill✓fullcommunity8/10

   Windmill documents Git sync where deployments push commits to a repo and can auto-deploy new commits back into workspaces, plus a dedicated CLI (`wmill`) for deploying from a Git repository, enabling version control and promotion across workspaces/environments (dev/staging/prod). This covers source-control-backed versioning and promotion workflows fairly thoroughly, though community feedback questions non-destructive branch validation and local script running pre-merge, indicating some workflow gaps. Missing for 10: independent/hands-on confirmation of a full dev-to-prod promotion pipeline and clearer support for pre-merge branch validation raised by users.

   • [claimed-docs] “Each time an item is deployed, Windmill will create and push a commit to the specified repository. ... Windmill can automatically deploy new…”
   • [claimed-docs] “The Windmill CLI, `wmill` allows you to interact with Windmill instances right from your terminal.”
   • [claimed-docs] “Windmill supports both UI-based operations via its webIDE and low-code builders, as well as CLI deployments from a Git repository”
   • [community] “My first questions with any new tool of this kind: Can I run/validate branch versions non-destructively as part of pre-merge checks? Can I r…”

   proof ↗⚑ flag

Community

1. developerInstall community-built nodes, components, or integrations contributed outside the vendor

   weight 1 · round drawn
   Temporal—none0/10

   Temporal is a workflow orchestration engine, not a plugin/marketplace platform; the evidence pack shows no community node/component/integration ecosystem, registry, or marketplace for third-party contributed connectors. This is a fair question for an integration-oriented platform, so absence of any such evidence yields 'none' rather than 'na'.

   ⚑ flag

   Windmill—none0/10

   There is no evidence of a marketplace, registry, or community-contributed nodes/integrations/components ecosystem outside the vendor for Windmill—docs describe language support, flows, CLI, git sync, and MCP but nothing about installing third-party/community-built connectors or components. The hub/scripts sharing feature, if any, isn't mentioned in the evidence pack.

   ⚑ flag

Connectors

1. ops userConnect to thousands of apps through prebuilt, vendor-maintained integrations

   weight 3 · round drawn
   Temporal—none0/10

   The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na". (na/none harmonized at arena bring-up — see pipeline/scripts/na-harmonize.ts.)

   ⚑ flag

   Windmill—none0/10

   Evidence shows Windmill offers code-based scripts, flows, and triggers (webhooks, Kafka, Postgres, etc.) but no mention of a prebuilt, vendor-maintained connector/app library comparable to Zapier-style integrations; a community comment even contrasts it with Zapier as a code-first alternative rather than a connector marketplace.

   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [community] “This is brilliant. The world has been needing something like Zapier, but not opaque and locked down. Everything Zapier does is a good idea, …”
   • [community] “Was hoping it allowed my runtime. I have a bunch of scripts in NodeJS, Python 2, C#, etc. I don't care to rewrite them and/or write scripts …”

   proof ↗⚑ flag

Templates

1. ops userStart from a public library of workflow templates instead of building from scratch

   weight 2 · round drawn
   Temporal—none0/10

   Temporal is a code-first Workflows-as-Code platform (explicitly "isn't a no-code Workflow engine") — no evidence of a public template gallery or marketplace for ops users to start from pre-built workflow templates; Temporal SDK samples exist but no curated public library is mentioned in this pack.

   • [claimed-docs] “Temporal isn't a no-code Workflow engine — it is Workflows-as-Code.”
   • [claimed-docs] “There's also a short walkthrough of how to use the Temporal primitives (Activities, Workflows, and Workers) to build and run a Temporal appl…”

   proof ↗⚑ flag

   Windmill—none0/10

   No evidence of a public template library or gallery of pre-built workflows for ops users to start from; docs focus on scripting languages, orchestration, CLI, and roles/permissions but never mention a template marketplace or starter workflow gallery.

   ⚑ flag

Embedding

1. developerEmbed the automation platform white-label inside my own product for my customers

   weight 1 · round drawn
   Temporal—none0/10

   The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na". (na/none harmonized at arena bring-up — see pipeline/scripts/na-harmonize.ts.)

   ⚑ flag

   Windmill—none0/10

   No evidence of white-labeling capability (custom branding, theming, hiding Windmill identity, or embeddable SDK/iframe for reselling under the developer's own brand) — only self-hosting, app builder, and guest-user features are documented, none of which address white-label embedding for customers.

   ⚑ flag

Local dev

1. developerRun workflows locally or against a dev instance for development and CI testing

   weight 2 · round to Temporal
   Temporal✓fullclaimed9/10

   Temporal's CLI provides a documented `temporal server start-dev` command that spins up a complete local Temporal Service with Web UI for fast local feedback, and GitHub docs corroborate a quick brew-install and localhost:8233 workflow-viewing setup — directly supporting local dev/CI use. missing for 10: no explicit CI-pipeline example or GitHub Actions integration snippet in the evidence.

   • [claimed-docs] “temporal server start-dev”
   • [claimed-docs] “Use it to manage, monitor, and debug Temporal applications, plus run an embedded development service when you need fast local feedback.”
   • [claimed-docs] “This starts a complete Temporal Service with Web UI on your local machine.”
   • [github] “Try Temporal Web UI by opening http://localhost:8233 for viewing your sample workflows executing on Temporal.”
   • [github] “brew install temporal temporal server start-dev”
   • [github] “Execute the following commands to start a pre-built image along with all the dependencies.”

   proof ↗⚑ flag

   Windmill~partialcommunity5/10

   Windmill supports self-hosting a dev instance via Docker Compose (windmill-docs-10) and provides a CLI (`wmill`) for interacting with instances and deploying from Git repos (windmill-docs-9, windmill-docs-4, windmill-docs-11), which could support CI workflows against a dev instance. However, there is no explicit documentation of a local/offline execution mode for scripts/flows independent of a running instance, and a community question directly asking 'Can I run my scripts locally without a lot of drama?' (windmill-comm-5) goes unanswered in the evidence, suggesting friction. Missing for 10: explicit docs on local script execution without an instance, CI-specific testing guides, and a direct answer to the community's local-run concern.

   • [claimed-docs] “The Windmill CLI, `wmill` allows you to interact with Windmill instances right from your terminal.”
   • [claimed-docs] “For small setups, use Docker and Docker Compose on a single instance. For larger and production use-cases, use our Helm chart to deploy on K…”
   • [claimed-docs] “Windmill supports both UI-based operations via its webIDE and low-code builders, as well as CLI deployments from a Git repository”
   • [claimed-docs] “Each time an item is deployed, Windmill will create and push a commit to the specified repository. ... Windmill can automatically deploy new…”
   • [community] “My first questions with any new tool of this kind: Can I run/validate branch versions non-destructively as part of pre-merge checks? Can I r…”

   proof ↗⚑ flag

1. ai-native userDo everything through the API that I can do in the UI

   weight 2 · round to Windmill
   Temporal~partialprobed3/10

   Temporal exposes a CLI/SDK and gRPC API for core operations (workflow list, namespace management, cloud control-plane resources) that mirror much of what the Web UI shows, but there's no documented guarantee of full UI/API parity, and probes found no public OpenAPI/REST spec (404s across candidate paths). missing for 10: explicit parity documentation, a REST/OpenAPI spec, and confirmation that every UI action (e.g., debugging views, visualizations) has an API equivalent.

   • [github] “temporal operator namespace list temporal workflow list”
   • [claimed-docs] “Use the extension to manage your Temporal Cloud control plane resources, including Namespaces, Users, Service Accounts, API keys, and perfor…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”
   • [probe] “official CLI documented at https://docs.temporal.io/cli”

   proof ↗⚑ flag

   Windmill~partialprobed6/10

   Windmill exposes a CLI (`wmill`) for deployments, webhooks/triggers for running scripts and flows, git-sync for pushing changes, and an MCP server for AI agents to trigger scripts/flows, showing broad programmatic access to core operations. However, there's no explicit documentation or evidence of a comprehensive REST/OpenAPI spec covering all UI actions (e.g., app-builder UI creation, permissions management, variable/secret management) via API, and the openapi probe returned 404s at standard locations. missing for 10: explicit OpenAPI/API reference confirming full UI-API parity, evidence that app-building, permissions, and admin UI actions are all scriptable via API/CLI, independent confirmation of parity.

   • [claimed-docs] “The Windmill CLI, `wmill` allows you to interact with Windmill instances right from your terminal.”
   • [claimed-docs] “Each time an item is deployed, Windmill will create and push a commit to the specified repository. ... Windmill can automatically deploy new…”
   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [claimed-docs] “Flows additionally expose version-pinned webhook endpoints that target a specific flow version by its numeric version ID instead of the late…”
   • [claimed-docs] “With MCP, you can connect your favorite LLMs (like Claude, Cursor, or any MCP compatible client) to Windmill, allowing you to trigger your s…”
   • [probe] “official MCP server documented at https://www.windmill.dev/docs/core_concepts/mcp”
   • [probe] “official CLI documented at https://www.windmill.dev/docs/advanced/cli”
   • [probe] “PROBE openapi: all candidate paths 404 (https://www.windmill.dev/openapi.json, https://www.windmill.dev/swagger.json, https://www.windmill.d…”

   proof ↗⚑ flag

2. ai-native userExport all of my data in open formats and leave

   weight 3 · round to Windmill
   Temporal—none0/10

   Evidence covers self-hosting, archival to blob storage, and payload encryption, but nothing documents a data-export feature or open-format guarantee for workflow history/state that would let a user extract all data and leave the platform. Missing for 10: explicit export tooling, documented open/standard data format for workflow history, and any statement on data portability/no-lock-in guarantees.

   ⚑ flag

   Windmill~partialprobed6/10

   Windmill's CLI (`wmill`) and Git Sync feature let users pull/push all scripts, flows, and apps as plain code (TypeScript/Python/YAML) into a Git repository, giving a genuinely open, portable format for the core workflow logic, and the whole platform is open-source and self-hostable so users are never locked to a vendor. However the evidence pack shows no explicit mechanism for exporting the rest of the instance state — variables, secrets, execution history/logs, users/permissions — as an open-format bundle, only code artifacts. missing for 10: documented full-instance export/backup covering secrets, variables, run history, and permissions, plus independent confirmation that a git-synced workspace can be fully reconstituted elsewhere.

   • [claimed-docs] “The Windmill CLI, `wmill` allows you to interact with Windmill instances right from your terminal.”
   • [claimed-docs] “Each time an item is deployed, Windmill will create and push a commit to the specified repository. ... Windmill can automatically deploy new…”
   • [claimed-docs] “Workflows as code let you define orchestration logic directly in TypeScript or Python, using familiar language constructs like functions, co…”
   • [probe] “official CLI documented at https://www.windmill.dev/docs/advanced/cli”
   • [claimed-docs] “For small setups, use Docker and Docker Compose on a single instance. For larger and production use-cases, use our Helm chart to deploy on K…”

   proof ↗⚑ flag

3. ai-native userRead the product's source under an open license

   weight 2 · round to Windmill
   Temporal~partialclaimed5/10

   Evidence confirms Temporal's server code is hosted in a public GitHub repository (temporalio/temporal) with commands, installation instructions, and code history described (e.g., fork of Cadence), indicating source availability, but no evidence in the pack cites an explicit open-source license file or terms. missing for 10: explicit license text/citation (e.g., MIT/Apache-2.0 LICENSE file), confirmation that all components (not just core server) are open source, and independent corroboration of license terms.

   • [github] “temporal operator namespace list temporal workflow list”
   • [github] “Try Temporal Web UI by opening http://localhost:8233 for viewing your sample workflows executing on Temporal.”
   • [github] “Temporal is a mature technology that originated as a fork of Uber's Cadence.”
   • [github] “brew install temporal temporal server start-dev”
   • [github] “Execute the following commands to start a pre-built image along with all the dependencies.”

   proof ↗⚑ flag

   Windmill✓fullprobed7/10

   Windmill is explicitly described as 'open-source and self-hostable' in its own docs/llms.txt, and its source is publicly available on GitHub (windmill-labs/windmill), satisfying the story that an AI-native user can read the source under an open license. missing for 10: no explicit license name (e.g., AGPL/MIT) is cited in the evidence, and no independent confirmation of license terms is provided.

   • [probe] “PROBE llms.txt: HTTP 200 at https://www.windmill.dev/llms.txt # Windmill > Windmill is an open-source and self-hostable workflow engine and…”
   • [probe] “PROBE docs-md: HTTP 200 at https://www.windmill.dev/docs/intro.md # What is Windmill? > What is Windmill? An open-source workflow engine an…”
   • [github] “Scripts are turned into sharable UIs automatically, and can be composed together into flows or used into richer apps built with low-code.”
   • [community] “This looks pretty neat! Once the FOSS self-hostable version is out I might try it out for my local hackerspace, it seems like it might be us…”

   proof ↗⚑ flag

4. ai-native userSelf-host the core product

   weight 3 · round to Windmill
   Temporal~partialcommunity7/10

   Docs clearly describe a self-hosted guide covering deployment (Docker/Kubernetes/manual), namespaces, encryption, archival, and multi-cluster replication, plus CLI/dev server (`temporal server start-dev`) and GitHub instructions to run a pre-built server image with Web UI locally. However community evidence notes self-hosting documentation is thin and support is sparse, indicating real-world friction. missing for 10: independent hands-on verification of a full production self-hosted deployment succeeding, and more detailed community corroboration beyond the noted complaint about sparse self-hosting docs/support.

   • [claimed-docs] “Deployment: Choose a deployment approach (Docker, Kubernetes, or manual) and set up a production-ready Temporal Service.”
   • [claimed-docs] “Namespaces: Create and manage Namespace isolation, retention, and related configuration.”
   • [claimed-docs] “Data encryption: Use Payload Codecs and Codec Server patterns to protect sensitive Workflow data.”
   • [claimed-docs] “Archival: Move closed Workflow Histories and Visibility records to blob storage for longer retention.”
   • [claimed-docs] “Multi-Cluster Replication: Replicate Workflow state across clusters for failover and disaster recovery.”
   • [claimed-docs] “This starts a complete Temporal Service with Web UI on your local machine.”
   • [github] “Execute the following commands to start a pre-built image along with all the dependencies.”
   • [github] “temporal operator namespace list temporal workflow list”
   • [github] “Try Temporal Web UI by opening http://localhost:8233 for viewing your sample workflows executing on Temporal.”
   • [community] “The worst part for us has been error/anomaly handling. Workflows can sometimes hit a state where status reads in progress and errors aren't …”

   proof ↗⚑ flag

   Windmill✓fullprobed9/10

   Windmill provides official self-hosting docs with Docker Compose for small setups and Helm/Kubernetes for production, corroborated by independent community reports of successful self-hosting via Caprover and Podman+Docker Compose. Missing for 10: more recent/large-scale production self-host case studies beyond community hobbyist reports.

   • [claimed-docs] “For small setups, use Docker and Docker Compose on a single instance. For larger and production use-cases, use our Helm chart to deploy on K…”
   • [community] “Yesterday I submitted a one-click install to Caprover, never been so easy to self host. It's really fast on Oracle's free 4vCPU, 24GB RAM ma…”
   • [community] “Pretty easy to selfhost as I deployed it on a Alpine Linux server using Podman + Docker Compose binary. Really nice piece of software.”
   • [probe] “PROBE llms.txt: HTTP 200 at https://www.windmill.dev/llms.txt # Windmill > Windmill is an open-source and self-hostable workflow engine and…”

   proof ↗⚑ flag

1. ai-native userChoose where my data is stored (region/residency)

   weight 2 · round to Temporal
   Temporal~partialclaimed5/10

   Temporal's self-hosted deployment guide lets customers run the service in any region/data center of their choosing (Docker/Kubernetes/manual), which indirectly satisfies data residency needs, and Namespaces provide isolation and retention controls. However, there is no explicit documentation of a Temporal Cloud region-selection feature or formal data-residency guarantee. Missing for 10: explicit Temporal Cloud region/residency selection docs, compliance certifications tied to specific regions, and independent confirmation that customers can pin data to a jurisdiction.

   • [claimed-docs] “Deployment: Choose a deployment approach (Docker, Kubernetes, or manual) and set up a production-ready Temporal Service.”
   • [claimed-docs] “Namespaces: Create and manage Namespace isolation, retention, and related configuration.”
   • [claimed-docs] “Archival: Move closed Workflow Histories and Visibility records to blob storage for longer retention.”
   • [claimed-docs] “Choose a deployment approach (Docker, Kubernetes, or manual) and set up a production-ready Temporal Service.”

   proof ↗⚑ flag

   Windmill~partialcommunity4/10

   Windmill is self-hostable via Docker/Docker Compose or Kubernetes Helm chart, which implicitly lets a user control where their data resides by deploying in any region/infrastructure of their choosing. However, there is no explicit documentation of a region-selection feature for Windmill's hosted/cloud offering or any formal data-residency guarantee. Missing for 10: explicit cloud region selection options, formal data residency/compliance statements, and independent confirmation of self-hosted deployments meeting residency requirements.

   • [claimed-docs] “For small setups, use Docker and Docker Compose on a single instance. For larger and production use-cases, use our Helm chart to deploy on K…”
   • [community] “Yesterday I submitted a one-click install to Caprover, never been so easy to self host. It's really fast on Oracle's free 4vCPU, 24GB RAM ma…”
   • [community] “Pretty easy to selfhost as I deployed it on a Alpine Linux server using Podman + Docker Compose binary. Really nice piece of software.”

   proof ↗⚑ flag

2. ai-native userPrevent my data from being used to train AI models

   weight 3 · round drawn
   Temporal—none0/10

   The axis applies to this product kind (peer products hold positive or none verdicts on this story), so lack of evidence for an applicable capability is "none", never "na". (na/none harmonized at arena bring-up — see pipeline/scripts/na-harmonize.ts.)

   ⚑ flag

   Windmill—none0/10

   No evidence in the pack addresses AI-training data usage or opt-out policies for Windmill; the product is a workflow/automation engine and could plausibly publish a data-usage/privacy policy, but none is documented here.

   ⚑ flag

3. ai-native userControl data retention and deletion

   weight 2 · round to Temporal
   Temporal~partialclaimed6/10

   Temporal exposes Namespace-level retention configuration and Archival (moving closed Workflow Histories to blob storage for longer retention), giving admins control over how long workflow data persists — this is a documented privacy-relevant capability rather than something inferred outside the pack. However, there's no evidence of explicit deletion APIs/controls beyond retention-window expiry, no mention of GDPR-style right-to-delete tooling, and no independent/community corroboration of retention or deletion working as documented. Missing for 10: explicit data-deletion API/workflow, compliance-oriented deletion guarantees, and independent verification.

   • [claimed-docs] “Namespaces: Create and manage Namespace isolation, retention, and related configuration.”
   • [claimed-docs] “Archival: Move closed Workflow Histories and Visibility records to blob storage for longer retention.”
   • [claimed-docs] “Choose a deployment approach (Docker, Kubernetes, or manual) and set up a production-ready Temporal Service.”
   • [claimed-docs] “Replicate Workflow state across clusters for failover and disaster recovery.”

   proof ↗⚑ flag

   Windmill—none0/10

   The evidence pack covers encryption of variables, roles/permissions, and token scoping, but there is no mention of data retention policies, data deletion controls, or export/purge capabilities for an AI-native user's data. No documentation or community evidence addresses this axis.

   ⚑ flag

Durability

1. developerThrottle or queue workflow executions to respect downstream rate limits

   weight 1 · round to Temporal
   Temporal~partialclaimed4/10

   Temporal's docs show automatic Activity retries (temporal-docs-10) and Schedules for controlling when Workflow Executions start (temporal-docs-15, temporal-docs-25), which can be used to queue/pace executions, but the evidence pack contains no explicit mention of throttling mechanisms like per-second rate limits on Task Queues or Worker/Activity concurrency caps that directly address downstream rate-limit protection. Missing for 10: explicit documentation of rate-limiting options (e.g., worker or activity execution-rate caps), hands-on examples of throttling against a downstream API, and independent corroboration of this specific use case.

   • [claimed-docs] “If an Activity fails, Temporal automatically retries it based on your configuration.”
   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Schedules provide a more flexible and user-friendly approach than Temporal Cron Jobs.”

   proof ↗⚑ flag

   Windmill—none0/10

   The evidence pack shows retries, scheduling, and branching (windmill-docs-13, windmill-docs-18, windmill-docs-12) but contains no mention of concurrency limits, execution throttling, or queuing mechanisms to respect downstream rate limits. Missing for 10: any documentation of concurrency-limit settings, rate-limit-aware queuing, or throttling controls on flows/scripts.

   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”
   • [claimed-docs] “A Schedule consists of a Script or Flow, its arguments, a CRON expression that controls the execution frequency and optional Error and Recov…”

   proof ↗⚑ flag

2. developerRun long-lived workflows that wait for days and survive worker or platform restarts without losing state

   weight 2 · round to Temporal
   Temporal✓fullcommunity8/10

   Temporal's core value proposition is exactly this: durable execution that resumes workflows after crashes/restarts, documented extensively (temporal-docs-1/28) and corroborated by independent community users confirming workflows are 'guaranteed to run and are resumable on other machines' even needing full determinism (temporal-comm-1, temporal-comm-2). Schedules and long-running workflow support (docs-15/16/25) further back the 'wait for days' aspect. Missing for 10: independent benchmark/stress-test evidence of very long-duration state survival, and community reports flag real edge cases where worker-death detection can misfire and leave workflows stuck 'in progress' (temporal-comm-4), plus documentation gaps around error visibility (temporal-comm-3).

   • [claimed-docs] “Temporal delivers crash-proof execution by guaranteeing that applications resume exactly where they left off after crashes, network failures…”
   • [claimed-docs] “guaranteeing that applications resume exactly where they left off after crashes, network failures, or infrastructure outages”
   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Use a phase offset when you need your recurring Schedule to fire at a specific, human-meaningful time like every 10 days at 5pm UTC on a par…”
   • [community] “Temporal workflows must be deterministic and durable which means they are guaranteed to run and are resumable on other machines. Temporal do…”
   • [community] “I'm a user since over a year ago. The whole point of temporal is to distribute work across machines without worrying too much on orchestrati…”
   • [community] “if that upload/download 'some time' is longer than 5 seconds, the control plane will believe that the worker has died, it won't reschedule, …”
   • [community] “The worst part for us has been error/anomaly handling. Workflows can sometimes hit a state where status reads in progress and errors aren't …”

   proof ↗⚑ flag

   Windmill~partialclaimed5/10

   Windmill's docs describe 'workflows as code' with built-in checkpointing, parallelism, and fault tolerance, plus retry/error-handling mechanisms (windmill-docs-5, windmill-docs-13, windmill-docs-19), which imply support for durable, resumable flows. However, there is no explicit documentation or independent confirmation of long-duration (multi-day) sleeps/waits or of state surviving worker/platform restarts specifically. Missing for 10: explicit docs on sleep/suspend semantics for days-long waits, and hands-on/community evidence confirming state survives worker or platform restarts.

   • [claimed-docs] “Workflows as code let you define orchestration logic directly in TypeScript or Python, using familiar language constructs like functions, co…”
   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”
   • [claimed-docs] “A script or flow can return a top-level `wm_failure` field (string) to retag the run as a failure even though the runtime did not raise an e…”
   • [claimed-docs] “A Schedule consists of a Script or Flow, its arguments, a CRON expression that controls the execution frequency and optional Error and Recov…”

   proof ↗⚑ flag

Error handling

1. developerConfigure automatic retries with backoff for failed steps or activities

   weight 3 · round drawn
   Temporal✓fullcommunity9/10

   Docs explicitly state activities are automatically retried based on configuration (retry policies), and community evidence corroborates users can retry any unit on failure and specify non-retryable errors, confirming this works in practice. Missing for 10: explicit docs snippet showing backoff coefficient/interval configuration parameters directly cited in the pack.

   • [claimed-docs] “If an Activity fails, Temporal automatically retries it based on your configuration.”
   • [community] “I'm a user since over a year ago. The whole point of temporal is to distribute work across machines without worrying too much on orchestrati…”

   proof ↗⚑ flag

   Windmill✓fullclaimed9/10

   Windmill's docs explicitly document a retries feature for flow steps with configurable delay and maximum attempts on error, directly matching the story, and error/recovery handlers extend this to scheduled flows. Missing for 10: independent hands-on confirmation of retry/backoff behavior in production use beyond docs.

   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”
   • [claimed-docs] “A Schedule consists of a Script or Flow, its arguments, a CRON expression that controls the execution frequency and optional Error and Recov…”

   proof ↗⚑ flag

2. ops userDefine dedicated error-handling paths or error workflows and get notified when a run fails

   weight 2 · round to Windmill
   Temporal!disputedcontradicted4/10

   Temporal's docs show built-in retry policies and workflow-level error handling (e.g., automatic Activity retries, non-retryable error configuration) that let developers build compensation/error paths in code, but there's no vendor evidence of a built-in alerting/notification mechanism for failed runs. Hands-on community reports directly contradict the 'get notified when a run fails' claim: users report errors are 'buried in the event log' and not surfaced anywhere, and that workflows can silently sit in an 'In Progress' state with no error-level cleanup triggered. Missing for 10: dedicated notification/alerting integration for failures, clear documentation on defining error-workflows, and confirmation these gaps have been resolved.

   • [claimed-docs] “If an Activity fails, Temporal automatically retries it based on your configuration.”
   • [community] “The worst part for us has been error/anomaly handling. Workflows can sometimes hit a state where status reads in progress and errors aren't …”
   • [community] “if that upload/download 'some time' is longer than 5 seconds, the control plane will believe that the worker has died, it won't reschedule, …”

   proof ↗⚑ flag

   Windmill~partialcommunity7/10

   Windmill docs describe dedicated failure-handling mechanisms: retries with configurable delay/attempts (windmill-docs-13), conditional branch execution (windmill-docs-12), custom failure tagging via wm_failure (windmill-docs-19), and explicit 'Error and Recovery Handlers to deal with failed scheduled executions' (windmill-docs-18), which together support building dedicated error paths and being alerted on failure. However, the evidence doesn't detail concrete notification channels (email/Slack/webhook alerts) beyond the handler concept, and error-handler support is documented mainly in the scheduling context rather than as a general flow-level feature; a community question (windmill-comm-8) about error handling/branching is asked but not answered by the evidence pack. missing for 10: explicit documentation of flow-level (not just schedule-level) dedicated error workflows, and concrete notification-channel integration for failure alerts.

   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”
   • [claimed-docs] “Branches allow to split the execution of the flow based on a condition. ... Branch all: all the branches will be executed.”
   • [claimed-docs] “A Schedule consists of a Script or Flow, its arguments, a CRON expression that controls the execution frequency and optional Error and Recov…”
   • [claimed-docs] “A script or flow can return a top-level `wm_failure` field (string) to retag the run as a failure even though the runtime did not raise an e…”
   • [community] “This looks really cool. Is there error handling? For example, if the email sending fails for some reason can I either select the flow to con…”

   proof ↗⚑ flag

Observability

1. ops userInspect past execution logs and re-run a failed execution, resuming from the failing step

   weight 2 · round to Temporal
   Temporal~partialcommunity6/10

   Temporal's Web UI lets ops view workflow event history/logs (temporal-gh-2, temporal-gh-1), and community evidence confirms a 'reset' feature that resumes a workflow from a specific failed statement rather than starting over (temporal-comm-8), plus built-in automatic retries for failed Activities (temporal-docs-10). However, first-party docs don't detail the reset-from-failure workflow itself, and community reports note real gaps in error visibility (errors buried in event log, stuck 'In Progress' states requiring manual termination) that complicate diagnosing and resuming failed executions (temporal-comm-3, temporal-comm-4). Missing for 10: first-party documentation of the Reset API/CLI command, evidence of granular log inspection UX, and resolution of the community-reported error-visibility gaps.

   • [github] “Try Temporal Web UI by opening http://localhost:8233 for viewing your sample workflows executing on Temporal.”
   • [github] “temporal operator namespace list temporal workflow list”
   • [community] “After you deploy new workflow code, you can reset a workflow's execution state to before a given statement was called, and it will re-run fr…”
   • [claimed-docs] “If an Activity fails, Temporal automatically retries it based on your configuration.”
   • [community] “The worst part for us has been error/anomaly handling. Workflows can sometimes hit a state where status reads in progress and errors aren't …”
   • [community] “if that upload/download 'some time' is longer than 5 seconds, the control plane will believe that the worker has died, it won't reschedule, …”

   proof ↗⚑ flag

   Windmill~partialclaimed3/10

   Windmill's docs describe automatic per-step retries, error handling (wm_failure tagging), and schedule error/recovery handlers, which support reliability around failures, but no evidence explicitly describes an ops user inspecting past execution logs and manually re-running a failed execution resuming from the specific failing step. missing for 10: explicit documentation of log-based re-run/resume-from-step UI or API, and confirmation this is a distinct manual operation rather than automated retry.

   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”
   • [claimed-docs] “A Schedule consists of a Script or Flow, its arguments, a CRON expression that controls the execution frequency and optional Error and Recov…”
   • [claimed-docs] “A script or flow can return a top-level `wm_failure` field (string) to retag the run as a failure even though the runtime did not raise an e…”

   proof ↗⚑ flag

Schedules

1. ops userRun workflows on cron-style schedules with timezone control

   weight 2 · round to Windmill
   Temporal~partialcommunity6/10

   Temporal has a dedicated Schedules feature explicitly described as a more flexible cron-like mechanism for starting Workflow Executions at specific times, including phase-offset control for firing at exact human-meaningful times (e.g., '5pm UTC'), which implies timezone-aware scheduling. However, the evidence never explicitly documents a first-class timezone parameter or UI control for schedules, only UTC-based phase offsets. Missing for 10: explicit documentation of a timezone field/parameter in Schedule config, UI/CLI examples showing timezone selection, and independent confirmation of timezone behavior in production use.

   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Use a phase offset when you need your recurring Schedule to fire at a specific, human-meaningful time like every 10 days at 5pm UTC on a par…”
   • [claimed-docs] “Schedules provide a more flexible and user-friendly approach than Temporal Cron Jobs.”
   • [community] “After you deploy new workflow code, you can reset a workflow's execution state to before a given statement was called, and it will re-run fr…”

   proof ↗⚑ flag

   Windmill✓fullclaimed8/10

   Windmill's docs explicitly describe Schedules as a CRON expression tied to a Script or Flow with error/recovery handlers, and schedules are listed among supported trigger types alongside webhooks, HTTP routes, etc. Timezone control is a standard part of Windmill's schedule UI per its core concept documentation, though the evidence pack doesn't explicitly quote a timezone field or independent hands-on confirmation. Missing for 10: explicit citation confirming timezone selector UI, independent/community verification of scheduling reliability.

   • [claimed-docs] “A Schedule consists of a Script or Flow, its arguments, a CRON expression that controls the execution frequency and optional Error and Recov…”
   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [claimed-docs] “A script or flow can return a top-level `wm_failure` field (string) to retag the run as a failure even though the runtime did not raise an e…”

   proof ↗⚑ flag

Triggers

1. ops userTrigger workflows from events in connected apps (new record, message, email, form submission)

   weight 3 · round to Windmill
   Temporal—none0/10

   Temporal is explicitly a code-first workflow engine ('Temporal isn't a no-code Workflow engine — it is Workflows-as-Code'), with no evidence of pre-built connectors to apps (email, forms, CRM records) that an ops user could configure without writing code; triggering requires developer-authored Signals/APIs, not point-and-click integrations.

   • [claimed-docs] “Temporal isn't a no-code Workflow engine — it is Workflows-as-Code.”
   • [claimed-docs] “Orchestrate your workflows, AI apps, and agents across any models, tools, systems, and length of time. Reliably complete complex work at any…”

   proof ↗⚑ flag

   Windmill~partialclaimed6/10

   Windmill documents generic trigger mechanisms (webhooks, email, HTTP routes, Postgres, Kafka, MQTT, etc.) that can be wired to fire on external events like new records, emails, or form submissions [windmill-docs-15][windmill-docs-16]. However, there's no evidence of pre-built native connectors for specific SaaS apps (e.g., Salesforce, Gmail, Slack) that an ops user could configure without engineering setup — these are generic infra-level hooks requiring technical wiring, not app-specific integrations. missing for 10: native app connector library/marketplace, no-code trigger setup UI for specific third-party apps, evidence of non-technical ops users successfully configuring these triggers.

   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [claimed-docs] “Flows additionally expose version-pinned webhook endpoints that target a specific flow version by its numeric version ID instead of the late…”
   • [claimed-docs] “A Schedule consists of a Script or Flow, its arguments, a CRON expression that controls the execution frequency and optional Error and Recov…”

   proof ↗⚑ flag

2. developerExpose a custom webhook URL that receives external HTTP requests and starts a workflow run with the payload

   weight 3 · round to Windmill
   Temporal—none0/10

   The evidence pack shows no native webhook-receiver feature or public HTTP endpoint capability that starts a workflow from an external payload; Temporal's documented interfaces are the CLI, SDKs, gRPC API, and Schedules for time-based triggers, not inbound webhook URLs. While a developer could build a custom HTTP handler that calls the SDK's StartWorkflowExecution, none of the docs, GitHub, or community items describe an out-of-the-box webhook capability.

   • [claimed-docs] “A Schedule contains instructions for starting a Workflow Execution at specific times.”
   • [claimed-docs] “Schedules provide a more flexible and user-friendly approach than Temporal Cron Jobs.”
   • [claimed-docs] “There's also a short walkthrough of how to use the Temporal primitives (Activities, Workflows, and Workers) to build and run a Temporal appl…”
   • [probe] “PROBE openapi: all candidate paths 404 (https://docs.temporal.io/openapi.json, https://docs.temporal.io/swagger.json, https://docs.temporal.…”

   proof ↗⚑ flag

   Windmill✓fullclaimed8/10

   Windmill's docs explicitly list webhooks as a trigger type that starts scripts/flows with the request payload, and even describe version-pinned webhook endpoints for flows, confirming custom webhook URLs can kick off workflow runs. missing for 10: no independent/hands-on confirmation of webhook payload handling or setup walkthrough beyond docs references.

   • [claimed-docs] “How do I trigger scripts and flows in Windmill? Use schedules, webhooks, emails, HTTP routes, websockets, Kafka, Postgres, NATS, SQS, MQTT, …”
   • [claimed-docs] “Flows additionally expose version-pinned webhook endpoints that target a specific flow version by its numeric version ID instead of the late…”

   proof ↗⚑ flag

Builder

1. ops userBranch a workflow with conditions, filters, and parallel paths that merge back together

   weight 2 · round to Windmill
   Temporal—none0/10

   Temporal explicitly positions itself as Workflows-as-Code, not a no-code/visual engine, so branching, filtering, and merging parallel paths are done by developers writing code rather than by ops users through a visual builder — no evidence of any visual workflow/branching UI for non-developers.

   • [claimed-docs] “Temporal isn't a no-code Workflow engine — it is Workflows-as-Code.”

   proof ↗⚑ flag

   Windmill✓fullcommunity7/10

   Windmill's docs explicitly describe flow Branches that split execution based on conditions and a 'branch all' mode that runs all branches in parallel, directly matching conditional and parallel-path branching in a low-code flow builder. Merging paths back together is implied by the flow's linear continuation after a branch block but is not explicitly documented, and 'filters' as a distinct branching primitive isn't named. missing for 10: explicit doc/example of branches merging back into a single downstream step, and confirmation of filter-based branching syntax.

   • [claimed-docs] “Branches allow to split the execution of the flow based on a condition. ... Branch all: all the branches will be executed.”
   • [claimed-docs] “An orchestrator for assembling these functions into efficient, low-latency flows, using either a low-code builder or YAML”
   • [community] “This looks really cool. Is there error handling? For example, if the email sending fails for some reason can I either select the flow to con…”

   proof ↗⚑ flag

2. ops userBuild multi-step workflows in a visual editor without writing code

   weight 3 · round to Windmill
   Temporal—none0/10

   Temporal explicitly states it is a code-first, Workflows-as-Code platform, not a no-code/visual workflow engine — directly contradicting this story's premise; no visual editor is evidenced anywhere in the pack.

   • [claimed-docs] “Temporal isn't a no-code Workflow engine — it is Workflows-as-Code.”

   proof ↗⚑ flag

   Windmill~partialcommunity6/10

   Windmill's docs confirm a visual/low-code flow builder (drag-and-drop orchestration, branches, retries, scheduling) that lets users assemble flows without writing orchestration logic (windmill-docs-2, windmill-docs-12, windmill-docs-13, windmill-docs-18, windmill-comm-8). However, Windmill is fundamentally code-centric — individual flow steps are typically scripts in TypeScript/Python/etc, and the docs repeatedly describe it as 'low-code' rather than no-code, with community feedback confirming it's aimed at developers writing scripts (windmill-docs-1, windmill-comm-3). Missing for 10: evidence of pure no-code step types (e.g. built-in connectors/actions requiring zero code), and hands-on testimony from a non-technical ops user successfully building a flow without touching code.

   • [claimed-docs] “An orchestrator for assembling these functions into efficient, low-latency flows, using either a low-code builder or YAML”
   • [claimed-docs] “Branches allow to split the execution of the flow based on a condition. ... Branch all: all the branches will be executed.”
   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”
   • [claimed-docs] “A Schedule consists of a Script or Flow, its arguments, a CRON expression that controls the execution frequency and optional Error and Recov…”
   • [claimed-docs] “It supports coding in TypeScript, Python, Go, PHP, Bash, C#, SQL, Rust, Ruby and R, or any Docker image”
   • [community] “Was hoping it allowed my runtime. I have a bunch of scripts in NodeJS, Python 2, C#, etc. I don't care to rewrite them and/or write scripts …”
   • [community] “This looks really cool. Is there error handling? For example, if the email sending fails for some reason can I either select the flow to con…”

   proof ↗⚑ flag

Composition

1. developerCompose reusable sub-workflows or modules that other workflows call

   weight 2 · round to Windmill
   Temporal—none0/10

   The evidence pack describes Temporal as a code-first Workflows-as-Code platform (temporal-docs-11) with Activities, Standalone Activities, and Schedules, but never mentions child workflows, sub-workflow composition, or modular workflow reuse patterns that other workflows can call. Without explicit evidence of this composability mechanism, the axis (which is fair to ask of any workflow orchestration platform) cannot be credited.

   • [claimed-docs] “Temporal isn't a no-code Workflow engine — it is Workflows-as-Code.”
   • [claimed-docs] “But if you just need to execute a single Activity, use a Standalone Activity.”

   proof ↗⚑ flag

   Windmill~partialclaimed6/10

   Windmill's docs and README confirm scripts/functions can be composed together into flows (windmill-gh-1, windmill-docs-2) and workflows-as-code lets you call functions/loops within flows (windmill-docs-5), implying reusable modules, but there is no explicit documentation shown for one flow invoking another flow as a sub-workflow/module across multiple parent workflows. missing for 10: explicit doc/example of a flow calling another flow as a reusable subflow, and independent confirmation of this pattern working in practice.

   • [github] “Scripts are turned into sharable UIs automatically, and can be composed together into flows or used into richer apps built with low-code.”
   • [claimed-docs] “An orchestrator for assembling these functions into efficient, low-latency flows, using either a low-code builder or YAML”
   • [claimed-docs] “Workflows as code let you define orchestration logic directly in TypeScript or Python, using familiar language constructs like functions, co…”

   proof ↗⚑ flag

Testing

1. developerTest a workflow with sample or pinned data and inspect each step's input and output before going live

   weight 2 · round to Temporal
   Temporal~partialclaimed3/10

   Temporal provides a local dev server and Web UI for viewing workflow executions (temporal-docs-2/3, temporal-gh-2), which offers some execution inspection, but there is no evidence of a feature for testing with sample or pinned data, or for inspecting each step's input/output in a guided way — Temporal explicitly positions itself as Workflows-as-Code rather than a visual/no-code tool (temporal-docs-11). missing for 10: explicit sample/pinned data test harness, step-by-step input/output inspection UI, and any hands-on corroboration of this workflow-testing experience.

   • [claimed-docs] “temporal server start-dev”
   • [claimed-docs] “Use it to manage, monitor, and debug Temporal applications, plus run an embedded development service when you need fast local feedback.”
   • [github] “Try Temporal Web UI by opening http://localhost:8233 for viewing your sample workflows executing on Temporal.”
   • [claimed-docs] “Temporal isn't a no-code Workflow engine — it is Workflows-as-Code.”

   proof ↗⚑ flag

   Windmill—none0/10

   The evidence describes Windmill's flow builder, branching, retries, and error handling, but nothing in the pack documents a test-run mode with sample/pinned data or step-by-step input/output inspection before deployment. A community question (windmill-comm-5) about non-destructive testing/local runs goes unanswered in the evidence. Missing for 10: documentation of a 'test flow' or step-by-step debug/preview feature, evidence of pinning/sample input data per step, and confirmation that outputs of each step can be inspected pre-deployment.

   • [claimed-docs] “An orchestrator for assembling these functions into efficient, low-latency flows, using either a low-code builder or YAML”
   • [claimed-docs] “Branches allow to split the execution of the flow based on a condition. ... Branch all: all the branches will be executed.”
   • [claimed-docs] “If defined, upon error this step will be retried with a delay and a maximum number of attempts as defined below.”
   • [community] “My first questions with any new tool of this kind: Can I run/validate branch versions non-destructively as part of pre-merge checks? Can I r…”

   proof ↗⚑ flag