vs ChatGPT
vs Claude
vs Gemini
vs Perplexity
vs Grok
vs Muse
vs PokeTry itExperimental
See what an agent can do with Martin before you ever sign up. Pick a story: recorded sessions replay real probe-harness transcripts; commands tagged live-capable can re-run against the real endpoint from our edge, right now (▶ run live — the exact same request, live and recorded lines always labeled); sandboxed self-drive sessions are designed and gated (docs/TRY-IT.md).
$curl -s https://docs.trymartin.com/introduction.md | head -8recorded session — replayed, not liveVerified integrations
No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.
By theme — the product's score on each story themeBy theme
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Agents tasks — stories about agents tasks in this arenaAgents tasksevidence →
Stories about agents tasks in this arena
Apps devices — stories about apps devices in this arenaApps devicesevidence →
Stories about apps devices in this arena
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Connectors apps — stories about connectors apps in this arenaConnectors appsevidence →
Stories about connectors apps in this arena
Files analysis — stories about files analysis in this arenaFiles analysisevidence →
Stories about files analysis in this arena
Memory context — stories about memory context in this arenaMemory contextevidence →
Stories about memory context in this arena
Multimodal — stories about multimodal in this arenaMultimodalevidence →
Stories about multimodal in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Research answers — stories about research answers in this arenaResearch answersevidence →
Stories about research answers in this arena
Trust controls — stories about trust controls in this arenaTrust controlsevidence →
Stories about trust controls in this arena
Story verdicts — every judged story with its evidenceStory verdicts
Follow the green: where the map greys out is where Martin stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
—0/10
Subscribe to events via webhooks
n/an/a
Build against official SDKs
—0/10
Issue scoped/least-privilege API credentials for an agent
—0/10
Connect an agent via an official MCP server
n/an/a
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—0/10
Test against a sandbox environment without touching production data
n/an/a
Explore an interactive API reference with runnable examples
—0/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
✓8/10
unlocks → MCP client
Operate the product with natural-language commands
✓8/10
Plug MCP servers into this product so it can use their tools
—0/10
Get AI-generated insights and suggestions from my data inside the product
~6/10
Set up automations that run autonomously in the background
✓8/10
Agents tasks — stories about agents tasks in this arenaAgents tasks
Stories about agents tasks in this arena
Apps devices — stories about apps devices in this arenaApps devices
Stories about apps devices in this arena
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Connectors apps — stories about connectors apps in this arenaConnectors apps
Stories about connectors apps in this arena
Files analysis — stories about files analysis in this arenaFiles analysis
Stories about files analysis in this arena
Have the assistant write and run code on my data to produce charts, computed answers, and downloadable files
n/an/a
Have the assistant create and iteratively edit documents, presentations, and other files I can export
n/an/a
Upload documents, spreadsheets, and PDFs and get accurate analysis of their contents
—–
Memory context — stories about memory context in this arenaMemory context
Stories about memory context in this arena
Multimodal — stories about multimodal in this arenaMultimodal
Stories about multimodal in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Research answers — stories about research answers in this arenaResearch answers
Stories about research answers in this arena
Trust controls — stories about trust controls in this arenaTrust controls
Stories about trust controls in this arena
Sorted by importance (agentic first) (high → low) · 52/52 stories · click a row’s chevron for the rationale and evidence
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | full | 8/10 | Xcommunity | |
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | 0/10 | ||
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | none | 0/10 | ||
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | n/a | untested | none yet | |
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 9/10 | Tprobed | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Xcommunity | |
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Xcommunity | |
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 6/10 | Cclaimed | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | n/a | untested | none yet | |
Delegate a multi-step task that the assistant works on autonomously in the background and returns for my review C Agent mode | power-user | Agents tasks — stories about agents tasks in this arenaAgents tasks | 3 | partial | 7/10 | Xcommunity | |
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | partial | 6/10 | Cclaimed | |
Connect my cloud drive, email, and calendar so the assistant can search and use them in answers C Connectors | knowledge-worker | Connectors apps — stories about connectors apps in this arenaConnectors apps | 3 | partial | 5/10 | Cclaimed | |
Have the assistant remember relevant context from previous chats and apply it in new conversations C Memory | power-user | Memory context — stories about memory context in this arenaMemory context | 3 | partial | 4/10 | Cclaimed | |
Control whether my conversations are used to train models C Data controls | knowledge-worker | Trust controls — stories about trust controls in this arenaTrust controls | 3 | none | 0/10 | ||
Have the assistant operate a web browser on my behalf to research and complete tasks on websites C Agent mode | power-user | Agents tasks — stories about agents tasks in this arenaAgents tasks | 3 | none | 0/10 | ||
Launch a deep research run that autonomously searches many sources and returns a cited report C Research | knowledge-worker | Research answers — stories about research answers in this arenaResearch answers | 3 | none | 0/10 | ||
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | 0/10 | ||
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | 0/10 | ||
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | none | untested | none yet | |
Have the assistant write and run code on my data to produce charts, computed answers, and downloadable files C Analysis | power-user | Files analysis — stories about files analysis in this arenaFiles analysis | 3 | n/a | untested | none yet | |
Upload documents, spreadsheets, and PDFs and get accurate analysis of their contents C Files | knowledge-worker | Files analysis — stories about files analysis in this arenaFiles analysis | 3 | none | untested | none yet | |
Have a natural, real-time voice conversation with the assistant C Voice | knowledge-worker | Multimodal — stories about multimodal in this arenaMultimodal | 2 | partial | 6/10 | Cclaimed | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | partial | 6/10 | Cclaimed | |
Schedule recurring or one-off tasks that run automatically and come back to me with results C Tasks | power-user | Agents tasks — stories about agents tasks in this arenaAgents tasks | 2 | partial | 6/10 | Xcommunity | |
Let the assistant see and operate applications on my computer to complete work C Agent mode | power-user | Agents tasks — stories about agents tasks in this arenaAgents tasks | 2 | partial | 5/10 | Xcommunity | |
Get answers grounded in current web results with citations back to the sources C Research | knowledge-worker | Research answers — stories about research answers in this arenaResearch answers | 2 | partial | 4/10 | Cclaimed | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | partial | 4/10 | Cclaimed | |
Browse a directory of third-party apps and connectors and add them to the assistant C Connectors | power-user | Connectors apps — stories about connectors apps in this arenaConnectors apps | 2 | none | 0/10 | ||
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | 0/10 | ||
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | 0/10 | ||
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | 0/10 | ||
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | 0/10 | ||
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | 0/10 | ||
Use an official desktop app with OS-level shortcuts and access to what is on my screen C Apps | power-user | Apps devices — stories about apps devices in this arenaApps devices | 2 | none | 0/10 | ||
Use full-featured official mobile apps for iOS and Android C Apps | knowledge-worker | Apps devices — stories about apps devices in this arenaApps devices | 2 | none | 0/10 | ||
Build and share custom assistants with their own instructions and knowledge C Custom bots | power-user | Apps devices — stories about apps devices in this arenaApps devices | 2 | none | untested | none yet | |
Generate and edit images from natural-language prompts C Images | knowledge-worker | Multimodal — stories about multimodal in this arenaMultimodal | 2 | n/a | untested | none yet | |
Have the assistant create and iteratively edit documents, presentations, and other files I can export G Artifacts | knowledge-worker | Files analysis — stories about files analysis in this arenaFiles analysis | 2 | n/a | untested | none yet | |
Manage members, permissions, and data policies for my organization's workspace C Admin | team-admin | Trust controls — stories about trust controls in this arenaTrust controls | 2 | none | untested | none yet | |
Organize related chats and files into a project or space that shares context and instructions C Projects | knowledge-worker | Memory context — stories about memory context in this arenaMemory context | 2 | n/a | untested | none yet | |
Share screenshots and photos and have the assistant accurately interpret what is in them C Images | knowledge-worker | Multimodal — stories about multimodal in this arenaMultimodal | 2 | none | untested | none yet | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | none | 0/10 | ||
Export my complete chat history and account data G Data controls | knowledge-worker | Trust controls — stories about trust controls in this arenaTrust controls | 1 | none | untested | none yet | |
Set persistent custom instructions and preferences that shape every response C Memory | power-user | Memory context — stories about memory context in this arenaMemory context | 1 | none | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 39 stories with headroom
What would move Martin’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools
nonemoves agent-readyimpact 45
Martin's docs describe a fixed set of built-in integrations (calendar, email, Slack, todos, notes) but there is no mention of MCP protocol support or any way for users to plug in arbitrary MCP servers for Martin to use as tools.
Agenticness — how well agents can access and operate the productDrive the product through a documented public API
nonemoves agent-readyimpact 45
Missing: a documented public API, SDK, or endpoint reference; any developer-facing API authentication or usage docs.
Agents tasks — stories about agents tasks in this arenaHave the assistant operate a web browser on my behalf to research and complete tasks on websites
nonemoves PA Scoreimpact 30
Martin's documented capabilities cover calendar, email, Slack, notes, reminders, todos, and search-engine lookups, but nothing in the evidence describes it operating a web browser, navigating websites, or completing multi-step tasks on arbitrary sites on the user's behalf.
Research answers — stories about research answers in this arenaLaunch a deep research run that autonomously searches many sources and returns a cited report
nonemoves PA Scoreimpact 30
Martin's docs mention a basic search capability that 'syncs with multiple search engines to find relevant information' (martin-docs-8), but there is no evidence of an autonomous multi-source deep-research mode that returns a structured, cited report — no mention of citation formatting, report generation, or a dedicated 'deep research' feature.
Files analysis — stories about files analysis in this arenaUpload documents, spreadsheets, and PDFs and get accurate analysis of their contents
nonemoves PA Scoreimpact 30
Martin is a personal-assistant product focused on calendar, email, Slack, reminders, notes, and todos; no evidence anywhere in the pack mentions document, spreadsheet, or PDF upload/analysis capabilities.
Openness — open source, data portability, and self-hosting storiesExport all of my data in open formats and leave
nonemoves PA Scoreimpact 30
No evidence anywhere in the pack of a data export feature or open-format data portability; Martin's docs focus on integrations, reminders, and briefings but never mention exporting user data or account deletion/export tools.
Openness — open source, data portability, and self-hosting storiesSelf-host the core product
nonemoves PA Scoreimpact 30
Martin is offered exclusively as a cloud-based assistant (email, Slack, calendar interfaces, cloud-based agent per martin-comm-4); no evidence of a self-hostable core product, open-source release, or on-prem deployment option.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
Missing: any privacy policy statement, opt-out setting, or documented no-training-data commitment.
Showing the top 8 of 39 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map8 surfaces · 15 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
Capabilities docs13 stories
- Get AI-generated insights and suggestions from my data inside the product
- Set up automations that run autonomously in the background
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Delegate a multi-step task that the assistant works on autonomously in the background and returns for my review
- Let the assistant see and operate applications on my computer to complete work
- Schedule recurring or one-off tasks that run automatically and come back to me with results
- Define rules that trigger actions automatically on events
- Schedule recurring jobs or workflows
- Connect my cloud drive, email, and calendar so the assistant can search and use them in answers
- Have the assistant remember relevant context from previous chats and apply it in new conversations
- Have a natural, real-time voice conversation with the assistant
- Get answers grounded in current web results with citations back to the sources
Background tasks docs9 stories
- Get AI-generated insights and suggestions from my data inside the product
- Set up automations that run autonomously in the background
- Operate the product with natural-language commands
- Delegate a multi-step task that the assistant works on autonomously in the background and returns for my review
- Schedule recurring or one-off tasks that run automatically and come back to me with results
- Perform bulk operations across many items at once
- Define rules that trigger actions automatically on events
- Schedule recurring jobs or workflows
- Have a natural, real-time voice conversation with the assistant
Hacker News6 stories
- Set up automations that run autonomously in the background
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Delegate a multi-step task that the assistant works on autonomously in the background and returns for my review
- Let the assistant see and operate applications on my computer to complete work
- Schedule recurring or one-off tasks that run automatically and come back to me with results
Integrations docs5 stories
- Point an agent at llms.txt or agent-oriented docs
- Delegate tasks to a built-in AI assistant inside the product
- Operate the product with natural-language commands
- Let the assistant see and operate applications on my computer to complete work
- Connect my cloud drive, email, and calendar so the assistant can search and use them in answers
Introduction docs4 stories
Interfaces docs3 stories
Probe proofs — replayable recordings from the probe harnessProbe proofs
Replayable recordings from our probe harness — see the Prove-It protocol to submit one.
$curl -s https://docs.trymartin.com/introduction.md | head -8reproduced$ curl -s https://docs.trymartin.com/introduction.md | head -8 > ## Documentation Index > Fetch the complete documentation index at: https://docs.trymartin.com/llms.txt > Use this file to discover all available pages before exploring further. # Introduction > Meet your new personal assistant
$curl -s https://docs.trymartin.com/llms.txt | grep -E 'introduction|calendar|email-triage'reproduced$ curl -s https://docs.trymartin.com/llms.txt | grep -E 'introduction|calendar|email-triage' - [Introduction](https://docs.trymartin.com/introduction.md): Meet your new personal assistant - [Calendar](https://docs.trymartin.com/integrations/calendar.md): Have Martin read, create, and update events in your calendar. - [Email Triage](https://docs.trymartin.com/background-tasks/email-triage.md): Martin can automatically label your emails and take follow up actions on your behalf.
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
3 of 7 testable claims verified · 0 contradicted → integrity 43/100
16 distinct capability claims found in Martin’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
3
Verified
4
Unverified
0
Contradicted
8
Undersold
Verified (9)
“You can ask Martin to set reminders that ping you at the right time”
Schedule recurring or one-off tasks that run automatically and come back to me with resultspartialproof ↗
“You can tell Martin to add, edit, and check off to-dos from any interface”
Operate the product with natural-language commandsfullproof ↗
“You can tell Martin to read, add, and edit your notes from any interface”
Operate the product with natural-language commandsfullproof ↗
“Martin can proactively draft and send emails on your behalf without being asked”
Delegate a multi-step task that the assistant works on autonomously in the background and returns for my reviewpartialproof ↗
“Martin can place a scheduled wake-up call with weather and your day's schedule”
Schedule recurring or one-off tasks that run automatically and come back to me with resultspartialproof ↗
“You can Cc Martin on an email to have him schedule a meeting”
Operate the product with natural-language commandsfullproof ↗
“You can send or forward emails directly to Martin to give him instructions”
Operate the product with natural-language commandsfullproof ↗
“You can DM Martin on Slack to interact with him”
Operate the product with natural-language commandsfullproof ↗
“You can text Martin natural-language instructions like relaying an arrival time”
Operate the product with natural-language commandsfullproof ↗
Unverified (6)
“Martin can read, create, and update calendar events on your behalf”
Connect my cloud drive, email, and calendar so the assistant can search and use them in answerspartialproof ↗
“Martin can read, draft, and reply to emails in your inbox”
Connect my cloud drive, email, and calendar so the assistant can search and use them in answerspartialproof ↗
“Create custom shortcuts that trigger multi-step automated actions”
Define rules that trigger actions automatically on eventspartialproof ↗
“Martin searches across multiple search engines to surface relevant information”
Get answers grounded in current web results with citations back to the sourcespartialproof ↗
“Martin can send daily or weekly email briefings automatically”
“Martin can automatically label emails and take follow-up actions on them”
Define rules that trigger actions automatically on eventspartialproof ↗
Undersold (8)
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Get AI-generated insights and suggestions from my data inside the productpartialproof ↗
Set up automations that run autonomously in the backgroundfullproof ↗
Delegate tasks to a built-in AI assistant inside the productfullproof ↗
Let the assistant see and operate applications on my computer to complete workpartialproof ↗
Perform bulk operations across many items at oncepartialproof ↗
Have the assistant remember relevant context from previous chats and apply it in new conversationspartialproof ↗
Have a natural, real-time voice conversation with the assistantpartialproof ↗
Claims outside our story set (1)
Real capability claims found in Martin’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“Martin can read and send Slack messages from your account”
source ↗
Business model
No free tier beyond a 7-day trial; Basic and Pro are flat monthly subscriptions (cheaper billed yearly) that differ in model quality and how many proactive tasks run concurrently.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Try Experimental
Run it in the microterminal →Recorded agent sessions — and a live MCP handshake where the vendor ships one.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents