Make vs Temporal
Make
Make (Celonis)
Temporal wins · 18–21 (16 drawn)
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
Agent access
ai-native userPoint an agent at llms.txt or agent-oriented docs
weight 2 · round to TemporalMake hosts a live llms.txt at developers.make.com/llms.txt (HTTP 200, confirmed by probe) plus Markdown-formatted 'Make Skills' docs designed for AI assistants, directly supporting agent-oriented documentation consumption. missing for 10: confirmation that all doc subpages (not just the root) resolve as .md, and independent/third-party evidence of agents successfully using llms.txt in practice.
- [probe] “PROBE llms.txt: HTTP 200 at https://developers.make.com/llms.txt # Make Developer Hub ## Home - [Make Developer Hub](https://developers.ma…”
- [claimed-docs] “Make Skills are Markdown files that help your assistant reliably perform Make-specific tasks, including building scenarios, configuring modu…”
- [claimed-docs] “Make Skills are Markdown files that help your assistant reliably perform Make-specific tasks, including building scenarios, configuring modu…”
- [probe] “PROBE docs-md: HTTP 200 at https://developers.make.com/api-documentation.md # Page Not Found The URL `api-documentation` does not exist. Th…”
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…”
ai-native userRun the product headlessly / in CI for automation
weight 2 · round to TemporalMake exposes a REST API (with auth/scopes) and webhooks that let external systems or CI pipelines trigger, schedule, and manage scenarios without using the UI, which supports headless/automated invocation. However, there is no evidence of an official CLI, containerized runner, or CI-specific integration guide (e.g., GitHub Actions), and the openapi probe returned 404s, suggesting weaker machine-readable API tooling. Missing for 10: dedicated CLI or CI/CD integration docs, confirmed OpenAPI spec, and hands-on evidence of running scenarios in a pipeline.
- [claimed-docs] “All requests to the Make API require authentication with the user authentication token with the relevant scopes enabled.”
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
- [claimed-docs] “custom webhooks allow you to create a url to which you can send any data”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution”
- [claimed-docs] “If you don't want to run your immediately after a webhook receives data, you can schedule your to process all webhook requests periodically”
- [claimed-docs] “you can schedule your to process all webhook requests periodically”
- [probe] “PROBE openapi: all candidate paths 404 (https://developers.make.com/openapi.json, https://developers.make.com/swagger.json, https://develope…”
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”
ai-native userPlug MCP servers into this product so it can use their tools
weight 3 · round drawnMakenone0/10All evidence describes Make exposing its own scenarios as an MCP server to external AI clients (Claude, ChatGPT), the reverse of this story's requirement that Make itself act as an MCP client consuming external MCP servers' tools. No documentation shows Make importing or calling third-party MCP servers as tool providers within its scenarios/agents.
- [claimed-docs] “Turns your **active** and **on-demand** scenarios into callable tools for AI”
- [claimed-docs] “AI systems like Claude and ChatGPT act as MCP clients of Make MCP server. The server provides them access to **scenario run** and **manageme…”
- [claimed-docs] “AI systems like Claude and ChatGPT act as MCP clients of Make MCP server.”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
- [claimed-docs] “learn about agentic automation with the make ai agents app”
ai-native userConnect an agent via an official MCP server
weight 3 · round to MakeMake documents an official MCP server that turns scenarios into callable tools for AI systems like Claude/ChatGPT, exposing scenario run and management capabilities, plus Make Skills to help agents connect. Missing for 10: independent/hands-on third-party corroboration and details on auth scopes specific to MCP server usage.
- [claimed-docs] “Turns your **active** and **on-demand** scenarios into callable tools for AI”
- [claimed-docs] “AI systems like Claude and ChatGPT act as MCP clients of Make MCP server. The server provides them access to **scenario run** and **manageme…”
- [claimed-docs] “AI systems like Claude and ChatGPT act as MCP clients of Make MCP server.”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
- [claimed-docs] “Make Skills are Markdown files that help your assistant reliably perform Make-specific tasks, including building scenarios, configuring modu…”
- [probe] “official MCP server documented at https://developers.make.com/mcp-server”
ai-native userUse an official CLI
weight 2 · round to TemporalMakenone0/10The evidence pack documents Make's REST API, MCP server, webhooks, and Skills, but contains no mention of an official command-line interface (CLI) tool for Make. Since automation platforms could plausibly ship a CLI, this axis applies, but no evidence supports it being delivered.
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”
ai-native userDrive the product through a documented public API
weight 3 · round to MakeMake documents a public REST API (resource-oriented URLs, token auth, troubleshooting section) plus a first-party MCP server exposing scenario run/management as callable tools, enabling AI-native driving of the product beyond just the raw API. Missing for 10: a working OpenAPI/swagger spec (probe found 404s) and independent hands-on corroboration of the API's completeness/reliability.
- [claimed-docs] “All requests to the Make API require authentication with the user authentication token with the relevant scopes enabled.”
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
- [claimed-docs] “If you are experiencing issues with the Make API, go to the Troubleshooting section for tips about what could go wrong and how to fix it.”
- [claimed-docs] “Turns your **active** and **on-demand** scenarios into callable tools for AI”
- [claimed-docs] “AI systems like Claude and ChatGPT act as MCP clients of Make MCP server. The server provides them access to **scenario run** and **manageme…”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
- [probe] “PROBE openapi: all candidate paths 404 (https://developers.make.com/openapi.json, https://developers.make.com/swagger.json, https://develope…”
- [probe] “official MCP server documented at https://developers.make.com/mcp-server”
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”
ai-native userIssue scoped/least-privilege API credentials for an agent
weight 2 · round to MakeMake API tokens support 'relevant scopes enabled' for authentication, indicating some scoped credential capability, and MCP server access can be scoped to specific scenarios/tools rather than full account access. However there's no documentation of granular least-privilege scope definitions, no scope list, no per-agent credential issuance workflow, and no independent verification of enforcement. Missing for 10: a documented list of available API scopes, evidence of fine-grained least-privilege controls (e.g., read-only vs write, resource-level restrictions), and independent/hands-on confirmation that scoped tokens actually restrict agent access as claimed.
- [claimed-docs] “All requests to the Make API require authentication with the user authentication token with the relevant scopes enabled.”
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
- [claimed-docs] “View and modify scenarios and their related entities (e.g., connections, webhooks, and data stores)”
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…”
ai-native userBuild against official SDKs
weight 2 · round to TemporalMakenone0/10Evidence shows a REST API and an MCP server, but no official client SDKs (Python/JS/etc.) or OpenAPI spec are documented—probes for openapi/swagger endpoints returned 404, indicating no formal SDK-generation artifact. The API docs describe raw REST endpoints and auth tokens, not packaged SDK libraries.
- [claimed-docs] “All requests to the Make API require authentication with the user authentication token with the relevant scopes enabled.”
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
- [probe] “PROBE openapi: all candidate paths 404 (https://developers.make.com/openapi.json, https://developers.make.com/swagger.json, https://develope…”
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…”
ai-native userSubscribe to events via webhooks
weight 2 · round to MakeMake's custom webhooks let a scenario expose a URL that receives events from external systems and trigger scenario runs, effectively letting a user 'subscribe' to external events via webhook (make-docs-5, make-docs-15, make-docs-25), with queuing/scheduling options (make-docs-6, make-docs-21). However, this is a general automation feature, not something exposed or documented specifically for AI-native/agentic consumption (e.g., no MCP tool or agent-specific API for creating/managing webhook subscriptions is shown). Missing for 10: evidence of webhook subscription management being agent-callable via MCP or API, and any outbound event-notification (pub/sub) webhook mechanism for external AI systems.
- [claimed-docs] “custom webhooks allow you to create a url to which you can send any data”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution of”
- [claimed-docs] “If you don't want to run your immediately after a webhook receives data, you can schedule your to process all webhook requests periodically”
- [claimed-docs] “the whole queue is then processed every time your schedule criteria are met”
Agentic features
ai-native userGet AI-generated insights and suggestions from my data inside the product
weight 2 · round drawnMakenone0/10Evidence shows Make's AI Agents app and MCP server let external AI systems build/run automations and manage scenarios, but there is no evidence of a feature that surfaces AI-generated insights or suggestions from a user's own data inside the product UI.
- [claimed-docs] “learn about agentic automation with the make ai agents app”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
ai-native userSet up automations that run autonomously in the background
weight 2 · round drawnMake scenarios are core automations that run autonomously on triggers (webhooks, schedules) in the background without human intervention, with error handling and history/monitoring built in, and can even be exposed as callable tools via MCP for AI orchestration. missing for 10: independent/hands-on evidence of long-running autonomous scenarios at scale, and no third-party corroboration beyond vendor docs.
- [claimed-docs] “custom webhooks allow you to create a url to which you can send any data”
- [claimed-docs] “If you don't want to run your immediately after a webhook receives data, you can schedule your to process all webhook requests periodically”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution”
- [claimed-docs] “you can schedule your to process all webhook requests periodically”
- [claimed-docs] “the whole queue is then processed every time your schedule criteria are met”
- [claimed-docs] “this page helps users navigate errors, diagnose and resolve issues in by providing detailed information on common errors and warnings, error…”
- [claimed-docs] “scenario history”
- [claimed-docs] “Turns your **active** and **on-demand** scenarios into callable tools for AI”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
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, …”
ai-native userDelegate tasks to a built-in AI assistant inside the product
weight 3 · round to MakeMake documents a 'Make AI Agents' app for 'agentic automation' inside the platform, suggesting a built-in AI agent/assistant capability, but the evidence is a single glancing mention with no detail on how tasks are delegated or what the assistant can do. Missing for 10: detailed docs on the AI Agents app's task-delegation UX, concrete examples of use, and independent/hands-on corroboration of its capabilities.
- [claimed-docs] “learn about agentic automation with the make ai agents app”
ai-native userOperate the product with natural-language commands
weight 2 · round to MakeMake ships an official MCP server and 'Make AI Agents' app that let LLMs (Claude, ChatGPT) run and manage scenarios via natural-language tool calls, plus 'Make Skills' markdown files to guide assistants — this is real agentic/NL operation support. However, this capability is mediated entirely through external AI clients rather than a built-in natural-language command interface in Make itself, and there is no independent/hands-on corroboration of reliability. Missing for 10: evidence of a native in-product NL command bar/assistant, and third-party/hands-on validation of the MCP-driven workflow.
- [claimed-docs] “Turns your **active** and **on-demand** scenarios into callable tools for AI”
- [claimed-docs] “AI systems like Claude and ChatGPT act as MCP clients of Make MCP server. The server provides them access to **scenario run** and **manageme…”
- [claimed-docs] “learn about agentic automation with the make ai agents app”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
- [claimed-docs] “Make Skills are Markdown files that help your assistant reliably perform Make-specific tasks, including building scenarios, configuring modu…”
- [probe] “official MCP server documented at https://developers.make.com/mcp-server”
Api quality
ai-native userExplore an interactive API reference with runnable examples
weight 2 · round drawnMakenone0/10Make provides REST API documentation describing resource-oriented endpoints and authentication (make-docs-1, make-docs-11, make-docs-23), but no evidence shows an interactive reference with runnable/try-it examples; probes for OpenAPI/Swagger specs and even the docs page in machine-readable form returned 404s (make-probe-2, make-probe-3), suggesting no such interactive tooling exists.
- [claimed-docs] “All requests to the Make API require authentication with the user authentication token with the relevant scopes enabled.”
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
- [claimed-docs] “If you are experiencing issues with the Make API, go to the Troubleshooting section for tips about what could go wrong and how to fix it.”
- [probe] “PROBE docs-md: HTTP 200 at https://developers.make.com/api-documentation.md # Page Not Found The URL `api-documentation` does not exist. Th…”
- [probe] “PROBE openapi: all candidate paths 404 (https://developers.make.com/openapi.json, https://developers.make.com/swagger.json, https://develope…”
Temporalnone0/10No 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.
ai-native userDownload a machine-readable API spec (OpenAPI or equivalent)
weight 2 · round drawnMakenone0/10Make documents its REST API but explicit probes for OpenAPI/swagger specs at standard paths all returned 404, and no downloadable machine-readable spec is referenced anywhere in the docs pack.
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
- [probe] “PROBE docs-md: HTTP 200 at https://developers.make.com/api-documentation.md # Page Not Found The URL `api-documentation` does not exist. Th…”
- [probe] “PROBE openapi: all candidate paths 404 (https://developers.make.com/openapi.json, https://developers.make.com/swagger.json, https://develope…”
Temporalnone0/10A 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.…”
ai-native userTest against a sandbox environment without touching production data
weight 1 · round to TemporalMakenone0/10No evidence of a sandbox environment, staging account, or test/production data separation for Make; the docs cover webhooks, scenarios, error handling, and MCP server but nothing about isolating test runs from production data.
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…”
ai-native userRely on versioned APIs with a documented deprecation policy
weight 2 · round drawnMakenone0/10The evidence shows Make has a REST API and MCP server documentation, but nowhere is there mention of API versioning scheme, version numbers, or a documented deprecation policy for breaking changes. Probes even show broken/missing OpenAPI spec links, further suggesting no formal versioning artifact is exposed.
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
- [claimed-docs] “If you are experiencing issues with the Make API, go to the Troubleshooting section for tips about what could go wrong and how to fix it.”
- [probe] “PROBE docs-md: HTTP 200 at https://developers.make.com/api-documentation.md # Page Not Found The URL `api-documentation` does not exist. Th…”
- [probe] “PROBE openapi: all candidate paths 404 (https://developers.make.com/openapi.json, https://developers.make.com/swagger.json, https://develope…”
Temporalnone0/10Evidence 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.…”
Ai workflows — AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inferenceAi workflows
AI in the engine loop — agent-driven editors, copilots, codegen-friendly APIs, runtime inference
Agent integration
ai-native userHave an agent create, update, and activate a workflow programmatically through the public API
weight 2 · round drawnMake's public REST API is documented as resource-oriented and requires token auth, and the MCP server explicitly allows AI systems to view and modify scenarios, run them, and manage account contents, implying create/update/activate capabilities. However, no evidence explicitly documents an API endpoint or example for creating a new scenario or toggling activation state, and the docs snippets are largely generic descriptions rather than concrete workflow-lifecycle examples. missing for 10: explicit API endpoint documentation for scenario creation, explicit 'activate' endpoint/example, and independent confirmation of programmatic activation.
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
- [claimed-docs] “View and modify scenarios and their related entities (e.g., connections, webhooks, and data stores)”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
- [claimed-docs] “All requests to the Make API require authentication with the user authentication token with the relevant scopes enabled.”
- [probe] “official MCP server documented at https://developers.make.com/mcp-server”
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.”
ai-native userExpose my workflows or connected app actions as MCP tools that an external agent can call
weight 3 · round to MakeMake offers an official MCP server that turns active/on-demand scenarios into callable tools for AI agents like Claude/ChatGPT, exposing scenario run and management capabilities via a documented protocol; scenarios can connect to third-party app actions, making them exposable as tools. Missing for 10: independent hands-on validation of the MCP server beyond first-party docs and more detail on granular scoping/security of exposed tools.
- [claimed-docs] “Turns your **active** and **on-demand** scenarios into callable tools for AI”
- [claimed-docs] “AI systems like Claude and ChatGPT act as MCP clients of Make MCP server. The server provides them access to **scenario run** and **manageme…”
- [claimed-docs] “AI systems like Claude and ChatGPT act as MCP clients of Make MCP server.”
- [claimed-docs] “Turns your active and on-demand scenarios into callable tools for AI”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
- [probe] “official MCP server documented at https://developers.make.com/mcp-server”
Temporalnone0/10No 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.…”
Ai authoring
ai-native userGenerate or edit a workflow from a natural-language prompt
weight 2 · round to MakeMake's docs show 'Make Skills' (Markdown files) enabling an AI assistant to build and configure scenarios via the MCP server, and the MCP server lets AI systems like Claude/ChatGPT manage scenario contents — implying prompt-driven workflow creation/editing through external AI clients. However, this is an indirect, third-party-assistant-mediated path rather than a documented native in-product 'type a prompt, get a workflow' feature, and there's no hands-on or independent verification of it working. Missing for 10: a native first-party natural-language-to-workflow builder in the Make UI, concrete examples/screenshots of prompt-generated scenarios, and independent hands-on corroboration.
- [claimed-docs] “Make Skills are Markdown files that help your assistant reliably perform Make-specific tasks, including building scenarios, configuring modu…”
- [claimed-docs] “Make Skills are Markdown files that help your assistant reliably perform Make-specific tasks, including building scenarios, configuring modu…”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
- [claimed-docs] “learn about agentic automation with the make ai agents app”
Temporalnone0/10Temporal 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”
Ai steps
ai-native userAdd AI agent or LLM steps inside a workflow, with model choice and tool use
weight 3 · round to TemporalMake has a dedicated 'AI Agents' app (make-docs-9) for agentic automation within workflows, implying model choice and tool use, but the evidence pack lacks first-party documentation detailing how to configure model selection or tool/function definitions within an agent step — most evidence instead focuses on the MCP server (which exposes Make scenarios as tools to external AI clients like Claude/ChatGPT, the reverse direction). missing for 10: detailed docs on adding an AI/LLM step inside a scenario, configuring model provider/choice, and defining tool use within that step, plus independent/hands-on confirmation of this workflow.
- [claimed-docs] “learn about agentic automation with the make ai agents app”
- [claimed-docs] “Turns your **active** and **on-demand** scenarios into callable tools for AI”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
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.”
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
ai-native userPerform bulk operations across many items at once
weight 2 · round to MakeMake's webhook queue processing and API/data-store functions imply some capacity for handling batches of items via scenarios, and the REST API with scoped tokens could be scripted for bulk actions, but no evidence documents a native bulk-operation feature (e.g., batch endpoints, bulk item processing UI, or iterator-based bulk automation) for AI-native use. missing for 10: explicit documentation of batch/bulk API endpoints or iterator modules for processing many items in one call, evidence of AI agents invoking bulk operations via MCP server, and any hands-on confirmation of bulk throughput/performance.
- [claimed-docs] “custom webhooks allow you to create a url to which you can send any data”
- [claimed-docs] “If you don't want to run your immediately after a webhook receives data, you can schedule your to process all webhook requests periodically”
- [claimed-docs] “the whole queue is then processed every time your schedule criteria are met”
- [claimed-docs] “transform and format data using our range of functions”
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
Temporalnone0/10The 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.”
ai-native userDefine rules that trigger actions automatically on events
weight 3 · round to MakeMake's core scenario model is built on trigger-action automation: webhooks let users create URLs that trigger scenario execution on external events, schedules can batch-process queued events, and error handlers manage automated fault-response actions. This directly matches the story of defining rules that fire actions on events, though evidence is entirely first-party docs. Missing for 10: independent/hands-on verification and concrete examples of complex conditional rule logic beyond webhooks/schedules.
- [claimed-docs] “custom webhooks allow you to create a url to which you can send any data”
- [claimed-docs] “If you don't want to run your immediately after a webhook receives data, you can schedule your to process all webhook requests periodically”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution”
- [claimed-docs] “you can schedule your to process all webhook requests periodically”
- [claimed-docs] “the whole queue is then processed every time your schedule criteria are met”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution of”
- [claimed-docs] “this page helps users navigate errors, diagnose and resolve issues in by providing detailed information on common errors and warnings, error…”
- [claimed-docs] “diagnose and resolve issues in by providing detailed information on common errors and warnings, error handlers”
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.”
ai-native userSchedule recurring jobs or workflows
weight 2 · round to TemporalMake's docs confirm native scenario scheduling ('schedule a scenario') and webhook queues that can be processed on a periodic schedule, directly supporting recurring automated workflows. Missing for 10: independent/hands-on confirmation of scheduling reliability, details on schedule granularity/frequency options, and any AI-specific scheduling interface beyond generic scenario scheduling.
- [claimed-docs] “schedule a scenario docid 8rwfo krohjlepg4qhx3 clone a scenario docid\ c8f35kwpicyg1az5vlgehdelete a scenario”
- [claimed-docs] “If you don't want to run your immediately after a webhook receives data, you can schedule your to process all webhook requests periodically”
- [claimed-docs] “you can schedule your to process all webhook requests periodically”
- [claimed-docs] “the whole queue is then processed every time your schedule criteria are met”
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”
ai-native userVersion, review, and roll back my automations
weight 1 · round to TemporalMake documents 'scenario history' and the ability to 'clone a scenario', which suggest some versioning/backup capability, but there is no explicit documentation of a review/diff UI or a true rollback mechanism restoring a prior version. missing for 10: explicit rollback/revert feature docs, version diff/review UI, and independent confirmation that history can restore a scenario to an earlier state.
- [claimed-docs] “clone a scenario”
- [claimed-docs] “scenario history”
- [claimed-docs] “schedule a scenario docid 8rwfo krohjlepg4qhx3 clone a scenario docid\ c8f35kwpicyg1az5vlgehdelete a scenario”
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 …”
Code extensibility — stories about code extensibility in this arenaCode extensibility
Stories about code extensibility in this arena
Code steps
developerDrop into real code (JavaScript or Python) as a step inside a workflow
weight 3 · round to TemporalMakenone0/10The evidence pack covers Make's API, webhooks, MCP server, error handling, and functions, but contains no mention of a custom code step, JavaScript/Python module, or code-execution capability inside a Make scenario. No evidence supports the ability to write and run custom code as a workflow step.
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…”
Connector dev
developerBuild a custom connector or private integration with a documented developer platform, SDK, or CLI
weight 2 · round to TemporalMake provides a documented Custom Apps platform (App components: Base, Connections, Webhooks, Modules, Remote Procedure Calls) plus a REST API for building custom connectors/integrations, directly matching the story. Missing for 10: no confirmed official CLI or OpenAPI spec (probe found 404s for openapi.json/swagger.json and a broken docs-md page), and no independent/hands-on corroboration of connector-building success.
- [claimed-docs] “App components * [Base] * [Connections] * [Webhooks] * [Modules] * [Remote Procedure Calls]”
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
- [claimed-docs] “All requests to the Make API require authentication with the user authentication token with the relevant scopes enabled.”
- [probe] “PROBE openapi: all candidate paths 404 (https://developers.make.com/openapi.json, https://developers.make.com/swagger.json, https://develope…”
- [probe] “PROBE docs-md: HTTP 200 at https://developers.make.com/api-documentation.md # Page Not Found The URL `api-documentation` does not exist. Th…”
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”
Data mapping
ops userMap and transform data between steps with expressions, functions, or formulas
weight 2 · round to MakeMake docs confirm a dedicated functions system for transforming/formatting data between modules (make-docs-8), which is the core mapping/expression mechanism ops users use between steps. However, evidence lacks depth on formula syntax, custom function scripting (e.g., IML/JS custom functions), or hands-on examples of complex transformations. missing for 10: detailed docs/examples of expression syntax, custom JS functions, and independent validation of transformation capabilities.
- [claimed-docs] “transform and format data using our range of functions”
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.”
Collaboration governance — stories about collaboration governance in this arenaCollaboration governance
Stories about collaboration governance in this arena
Credentials
ops userStore connection credentials centrally, share them with my team, and control who can use which credential
weight 3 · round drawnMakenone0/10The evidence pack only lists 'Connections' as an app component category in custom-app developer docs (make-docs-10); there is no evidence describing centralized credential storage, team sharing, or per-credential access control for ops users.
- [claimed-docs] “App components * [Base] * [Connections] * [Webhooks] * [Modules] * [Remote Procedure Calls]”
Temporalnone0/10Evidence 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”
Human in the loop
ops userPause a workflow to wait for human approval or input before it continues
weight 2 · round drawnMakenone0/10The evidence pack covers webhooks, error handling, MCP server, and API docs, but contains no mention of a human-in-the-loop approval step, pause/resume mechanism, or manual confirmation module within Make scenarios. missing for 10: any documentation of a 'wait for input/approval' or manual confirmation module, pause/resume scenario capability, or timeout-based human approval feature.
Temporalnone0/10The 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.
Versioning
developerVersion workflows through source control or environments and promote changes from dev to production
weight 2 · round to TemporalMakenone0/10Evidence only shows scenario cloning and scenario history features, with no documentation of source-control integration, environment separation, or dev-to-production promotion workflows for Make scenarios.
- [claimed-docs] “clone a scenario”
- [claimed-docs] “scenario history”
- [claimed-docs] “schedule a scenario docid 8rwfo krohjlepg4qhx3 clone a scenario docid\ c8f35kwpicyg1az5vlgehdelete a scenario”
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.”
Connectors ecosystem — stories about connectors ecosystem in this arenaConnectors ecosystem
Stories about connectors ecosystem in this arena
Community
developerInstall community-built nodes, components, or integrations contributed outside the vendor
weight 1 · round to MakeMake provides a Custom Apps SDK (Base, Connections, Webhooks, Modules, RPCs) that lets developers build custom integrations, implying a framework where community-built apps could exist, but there is no evidence of a marketplace, directory, or install flow for discovering and installing third-party/community-contributed apps or modules into a Make account. missing for 10: evidence of a public app marketplace/store, discovery of community apps, one-click install of third-party nodes, and any review/vetting process for community contributions.
- [claimed-docs] “App components * [Base] * [Connections] * [Webhooks] * [Modules] * [Remote Procedure Calls]”
Temporalnone0/10Temporal 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'.
Connectors
ops userConnect to thousands of apps through prebuilt, vendor-maintained integrations
weight 3 · round drawnMakenone0/10The evidence pack covers Make's API, webhooks, MCP server, and custom-app-building framework (Base/Connections/Webhooks/Modules/RPC), but contains no citation confirming a marketplace of thousands of prebuilt, vendor-maintained app connectors. Missing for 10: any documentation or listing of the app/connector marketplace, connector count, or vendor-maintenance claims.
- [claimed-docs] “App components * [Base] * [Connections] * [Webhooks] * [Modules] * [Remote Procedure Calls]”
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
Templates
ops userStart from a public library of workflow templates instead of building from scratch
weight 2 · round drawnMakenone0/10The evidence pack covers Make's API, MCP server, webhooks, error handling, and scenario management, but contains no mention of a public template library or gallery that ops users could start from instead of building scenarios from scratch. Missing for 10: any documentation of a templates gallery, marketplace, or pre-built scenario library, and evidence of browsing/importing templates.
Temporalnone0/10Temporal 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…”
Deployment embedding — stories about deployment embedding in this arenaDeployment embedding
Stories about deployment embedding in this arena
Embedding
developerEmbed the automation platform white-label inside my own product for my customers
weight 1 · round drawnMakenone0/10The evidence pack covers Make's API, webhooks, MCP server, and app-building docs, but contains no mention of white-labeling, embeddable widgets, custom branding, or an embed SDK for reselling Make inside a third-party product. Absence of evidence for this applicable capability yields 'none'.
Local dev
developerRun workflows locally or against a dev instance for development and CI testing
weight 2 · round to TemporalMakenone0/10Make is a cloud-hosted automation platform; the evidence pack shows only cloud scenario execution, webhooks, REST API, and MCP server management — there is no mention of a local runtime, CLI, self-hosted/dev instance, or CI testing workflow for scenarios.
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.”
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
ai-native userDo everything through the API that I can do in the UI
weight 2 · round to MakeMake ships a documented, resource-oriented REST API covering scenarios, connections, webhooks, and data stores (make-docs-11, make-docs-14), plus an MCP server that lets AI systems run and manage scenarios (make-docs-3, make-docs-20). However, there's no evidence of a formal, discoverable OpenAPI spec (probe found 404s at standard locations, make-probe-3) and no explicit documentation confirming full parity for scenario-building/editing logic via API as opposed to the UI or Make Skills workflow. missing for 10: explicit API endpoints for full scenario creation/editing parity, public OpenAPI schema, independent confirmation of 1:1 UI/API feature parity.
- [claimed-docs] “The Make API follows the REST API design. Make API is organized into resource-oriented URLs”
- [claimed-docs] “View and modify scenarios and their related entities (e.g., connections, webhooks, and data stores)”
- [claimed-docs] “AI systems like Claude and ChatGPT act as MCP clients of Make MCP server. The server provides them access to **scenario run** and **manageme…”
- [claimed-docs] “Make MCP server allows AI systems, such as large language models (LLMs), to run scenarios and manage the contents of your Make account.”
- [probe] “PROBE openapi: all candidate paths 404 (https://developers.make.com/openapi.json, https://developers.make.com/swagger.json, https://develope…”
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”
ai-native userExport all of my data in open formats and leave
weight 3 · round drawnMakenone0/10Evidence covers Make's REST API, webhooks, MCP server, and scenario management, but nothing addresses a bulk/full account data export feature or open-format portability guarantee that would let a user leave with all their data. Missing for 10: documented data export/download feature, open format (e.g., JSON/CSV) export of scenarios and data stores, any GDPR-style account export or migration tooling.
Temporalnone0/10Evidence 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.
ai-native userRead the product's source under an open license
weight 2 · round to TemporalMakenone0/10The 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.)
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.”
ai-native userSelf-host the core product
weight 3 · round to TemporalMakenone0/10The 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.)
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 …”
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
ai-native userChoose where my data is stored (region/residency)
weight 2 · round to TemporalMakenone0/10The evidence pack contains no mention of data residency, regional data storage, or EU/US hosting options for Make; all citations concern MCP server, webhooks, API auth, and error handling. No evidence for data residency capability.
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.”
ai-native userPrevent my data from being used to train AI models
weight 3 · round drawnMakenone0/10The evidence pack contains no mention of AI training data opt-out, data usage policies for AI model training, or any privacy controls addressing this specific concern; all evidence covers API auth, MCP server, webhooks, and error handling instead.
ai-native userControl data retention and deletion
weight 2 · round to TemporalMakenone0/10The evidence pack contains no documentation of data retention policies, data deletion requests, or privacy/data lifecycle controls for AI-native users; only tangential scenario-management references (e.g., 'delete a scenario') exist, which do not address retention or deletion of underlying data/logs.
- [claimed-docs] “schedule a scenario docid 8rwfo krohjlepg4qhx3 clone a scenario docid\ c8f35kwpicyg1az5vlgehdelete a scenario”
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.”
Reliability errors — stories about reliability errors in this arenaReliability errors
Stories about reliability errors in this arena
Durability
developerThrottle or queue workflow executions to respect downstream rate limits
weight 1 · round drawnMake's webhook documentation shows a queuing mechanism where incoming webhook data can be scheduled to be processed periodically in batches rather than immediately, which functions as a basic queue (make-docs-6, make-docs-16, make-docs-21). However, there is no documented general-purpose throttling/rate-limit control for scenario executions against downstream APIs, and no explicit concurrency or rate-limit configuration feature is evidenced. Missing for 10: explicit rate-limit/throttle settings for scenario modules calling downstream APIs, documentation of concurrency controls, and any independent/hands-on confirmation that queuing reliably respects downstream limits.
- [claimed-docs] “If you don't want to run your immediately after a webhook receives data, you can schedule your to process all webhook requests periodically”
- [claimed-docs] “you can schedule your to process all webhook requests periodically”
- [claimed-docs] “the whole queue is then processed every time your schedule criteria are met”
- [claimed-docs] “custom webhooks allow you to create a url to which you can send any data”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution”
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.”
developerRun long-lived workflows that wait for days and survive worker or platform restarts without losing state
weight 2 · round to TemporalMakenone0/10Make is a scenario-based automation platform; while it supports scheduling and webhook queuing, there is no evidence of durable long-running workflow execution primitives (e.g., multi-day waits with guaranteed state persistence across worker/platform restarts) comparable to durable-execution frameworks. Evidence only covers webhooks, scheduling, error handling, and MCP server — none address long-lived stateful workflow durability.
- [claimed-docs] “custom webhooks allow you to create a url to which you can send any data”
- [claimed-docs] “If you don't want to run your immediately after a webhook receives data, you can schedule your to process all webhook requests periodically”
- [claimed-docs] “the whole queue is then processed every time your schedule criteria are met”
- [claimed-docs] “this page helps users navigate errors, diagnose and resolve issues in by providing detailed information on common errors and warnings, error…”
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 …”
Error handling
developerConfigure automatic retries with backoff for failed steps or activities
weight 3 · round to TemporalMake's docs repeatedly reference a dedicated 'error handling' system with 'error handlers' for diagnosing and resolving scenario failures, implying some built-in mechanism for handling failed steps, but none of the evidence explicitly mentions configurable retry counts or backoff intervals. missing for 10: explicit documentation of a retry directive with configurable attempts/backoff, and any hands-on confirmation of this behavior.
- [claimed-docs] “this page helps users navigate errors, diagnose and resolve issues in by providing detailed information on common errors and warnings, error…”
- [claimed-docs] “diagnose and resolve issues in by providing detailed information on common errors and warnings, error handlers”
- [claimed-docs] “detailed information on common errors and warnings, error handlers, and how to use them”
- [claimed-docs] “detailed information on common errors and warnings, error handlers, and how to use them in your”
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…”
ops userDefine dedicated error-handling paths or error workflows and get notified when a run fails
weight 2 · round to MakeMake's help docs confirm a dedicated error-handling system with 'error handlers' for diagnosing and resolving failed runs, which is the core mechanism ops users would use to define error-handling paths. However, the evidence never explicitly describes configurable failure notifications (e.g., email/Slack alerts on scenario failure) or how error routes are wired into scenarios beyond generic mentions. Missing for 10: explicit notification-on-failure documentation, concrete error-handler route configuration details, and independent/hands-on confirmation.
- [claimed-docs] “this page helps users navigate errors, diagnose and resolve issues in by providing detailed information on common errors and warnings, error…”
- [claimed-docs] “diagnose and resolve issues in by providing detailed information on common errors and warnings, error handlers”
- [claimed-docs] “detailed information on common errors and warnings, error handlers, and how to use them”
- [claimed-docs] “detailed information on common errors and warnings, error handlers, and how to use them in your”
Temporaldisputedcontradicted4/10Temporal'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, …”
Observability
ops userInspect past execution logs and re-run a failed execution, resuming from the failing step
weight 2 · round to TemporalMake's docs confirm scenario execution history for inspecting past runs and dedicated error-handling documentation, which supports viewing logs and diagnosing failures, but none of the evidence describes a feature to re-run a failed execution and resume specifically from the failing step. Missing for 10: explicit documentation of a 'rerun/resume from failed step' capability, and any hands-on confirmation that partial re-execution (vs. full restart) is supported.
- [claimed-docs] “scenario history”
- [claimed-docs] “this page helps users navigate errors, diagnose and resolve issues in by providing detailed information on common errors and warnings, error…”
- [claimed-docs] “diagnose and resolve issues in by providing detailed information on common errors and warnings, error handlers”
- [claimed-docs] “detailed information on common errors and warnings, error handlers, and how to use them”
- [claimed-docs] “detailed information on common errors and warnings, error handlers, and how to use them in your”
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, …”
Triggers scheduling — stories about triggers scheduling in this arenaTriggers scheduling
Stories about triggers scheduling in this arena
Schedules
ops userRun workflows on cron-style schedules with timezone control
weight 2 · round to TemporalEvidence confirms Make has a scenario scheduling feature ("schedule a scenario") and periodic webhook queue processing, but no documentation snippet describes cron-style expressions or explicit timezone configuration options. missing for 10: cron/interval expression syntax details, explicit timezone selection UI/API evidence, independent confirmation of scheduling behavior.
- [claimed-docs] “schedule a scenario docid 8rwfo krohjlepg4qhx3 clone a scenario docid\ c8f35kwpicyg1az5vlgehdelete a scenario”
- [claimed-docs] “If you don't want to run your immediately after a webhook receives data, you can schedule your to process all webhook requests periodically”
- [claimed-docs] “you can schedule your to process all webhook requests periodically”
- [claimed-docs] “the whole queue is then processed every time your schedule criteria are met”
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…”
Triggers
ops userTrigger workflows from events in connected apps (new record, message, email, form submission)
weight 3 · round to MakeMake's docs describe webhooks that let external apps or events trigger scenario execution (make-docs-5,15,25) plus scheduling to batch-process trigger events (make-docs-6,16,21), which is the mechanism ops users use to fire workflows off new records, messages, forms, etc. from connected apps/modules (make-docs-10 lists Modules/Webhooks as core app components). Missing for 10: explicit named examples of app-specific instant triggers (e.g., new Gmail email, new Typeform submission) and independent/hands-on confirmation beyond vendor docs.
- [claimed-docs] “custom webhooks allow you to create a url to which you can send any data”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution of”
- [claimed-docs] “If you don't want to run your immediately after a webhook receives data, you can schedule your to process all webhook requests periodically”
- [claimed-docs] “you can schedule your to process all webhook requests periodically”
- [claimed-docs] “the whole queue is then processed every time your schedule criteria are met”
- [claimed-docs] “App components * [Base] * [Connections] * [Webhooks] * [Modules] * [Remote Procedure Calls]”
Temporalnone0/10Temporal 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…”
developerExpose a custom webhook URL that receives external HTTP requests and starts a workflow run with the payload
weight 3 · round to MakeMake's custom webhooks feature lets developers create a URL that receives external HTTP requests and triggers scenario (workflow) execution with the received payload, with options for immediate or scheduled/batched processing of the queue. missing for 10: independent/hands-on corroboration beyond first-party docs, and no detail on payload parsing/validation specifics.
- [claimed-docs] “custom webhooks allow you to create a url to which you can send any data”
- [claimed-docs] “If you don't want to run your immediately after a webhook receives data, you can schedule your to process all webhook requests periodically”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution”
- [claimed-docs] “the whole queue is then processed every time your schedule criteria are met”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution of”
Temporalnone0/10The 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.…”
Visual builder — stories about visual builder in this arenaVisual builder
Stories about visual builder in this arena
Builder
ops userBranch a workflow with conditions, filters, and parallel paths that merge back together
weight 2 · round drawnMakenone0/10The evidence pack contains no mention of routers, filters, conditional branching, or parallel path merging in Make scenarios — it only covers API auth, MCP server, webhooks, error handling, and scenario management pages. Missing for 10: any documentation of router/filter modules, branch conditions, or parallel-path merge behavior.
Temporalnone0/10Temporal 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.”
ops userBuild multi-step workflows in a visual editor without writing code
weight 3 · round to MakeEvidence confirms Make's core building blocks—scenarios, modules, connections, webhooks, functions, and error handlers—implying a scenario-based workflow model, but nothing in the pack explicitly describes a visual drag-and-drop editor or no-code experience. Missing for 10: explicit description of the visual canvas/editor UI, no-code claims, and evidence of building multi-step workflows without code.
- [claimed-docs] “clone a scenario”
- [claimed-docs] “scenario history”
- [claimed-docs] “schedule a scenario docid 8rwfo krohjlepg4qhx3 clone a scenario docid\ c8f35kwpicyg1az5vlgehdelete a scenario”
- [claimed-docs] “transform and format data using our range of functions”
- [claimed-docs] “this page helps users navigate errors, diagnose and resolve issues in by providing detailed information on common errors and warnings, error…”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution”
Temporalnone0/10Temporal 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.”
Composition
developerCompose reusable sub-workflows or modules that other workflows call
weight 2 · round to MakeEvidence shows webhooks can be used to trigger one scenario's execution from another scenario or external app (make-docs-15, make-docs-25), which offers a rudimentary way to compose workflows, and custom apps can define reusable 'Modules' and 'Remote Procedure Calls' (make-docs-10). However there is no explicit documentation of a native 'call another scenario/sub-workflow' module or reusable workflow-as-module composition pattern within the visual builder itself. Missing for 10: dedicated sub-scenario/sub-workflow invocation feature, parameter passing between parent/child scenarios, and independent/hands-on confirmation of this composability pattern.
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution”
- [claimed-docs] “webhooks create a url that you can call from an external app or service, or from another use webhooks to trigger the execution of”
- [claimed-docs] “App components * [Base] * [Connections] * [Webhooks] * [Modules] * [Remote Procedure Calls]”
- [claimed-docs] “custom webhooks allow you to create a url to which you can send any data”
Temporalnone0/10The 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.”
Testing
developerTest a workflow with sample or pinned data and inspect each step's input and output before going live
weight 2 · round to TemporalMakenone0/10The evidence pack covers Make's API, MCP server, webhooks, and error-handling docs, but contains no documentation of running a scenario with sample/pinned data or inspecting per-step input/output before publishing. 'Scenario history' and 'error-handling' entries are the closest topics but don't describe a test-run/inspect-bundle workflow. missing for 10: docs on 'Run once' test execution, pinned/sample data configuration, per-module input/output bundle inspection.
- [claimed-docs] “scenario history”
- [claimed-docs] “this page helps users navigate errors, diagnose and resolve issues in by providing detailed information on common errors and warnings, error…”
- [claimed-docs] “diagnose and resolve issues in by providing detailed information on common errors and warnings, error handlers”
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.”
Not comparable on these axes
ai-native userOpt out of telemetry and usage tracking
weight 2 · not comparableMakenone0/10No evidence pack items mention telemetry, usage tracking, analytics opt-out, or privacy settings; the pack covers API, MCP server, webhooks, and scenario docs only.
Temporaln/aTemporal is a workflow orchestration platform (self-hosted or cloud); telemetry/usage-tracking opt-out is not a documented axis for this product category as evidenced, and the story concerns product-analytics/telemetry opt-out which is a category mismatch rather than a missing feature.