| What it does | AI coworker for design, implementation, and iteration
| The evidence layer for AI-agent actions
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Free
| Freemium
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| Pricing | Not given
| Developer: Free with no time limit (1,000 verified actions/month). Builder (Founding): $59/month for first 12 months, then $99/month (5,000 verified actions/month, then 2.5¢ per action). Team: $299/month (25,000 verified actions/month, then 1.5¢ per action). Growth: $999/month (100,000 verified acti
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| Key features | - Project context memory that maintains understanding of codebase and architecture decisions
- Code implementation with writing, review, and refactoring capabilities
- Design collaboration for system design discussions and architectural trade-offs
- Task breakdown into manageable, actionable tasks
- Technical documentation generation and maintenance
- Continuous learning that adapts to preferences and coding style
- Problem diagnosis analyzing errors and identifying root causes
- Knowledge management organizing project knowledge and decision processes
- Natural language interaction understanding needs and providing solutions
| - Records agent actions through API or OpenTelemetry spans
- Verifies actions against systems of record including Stripe, Shopify, Salesforce, HubSpot, Zendesk, Intercom and Coinbase
- Integrates with agent frameworks: LangGraph, CrewAI, OpenAI Agents SDK, Pydantic AI
- Supports workflow runtimes: Temporal and Inngest
- Action contracts define verification rules with limits and required effects
- Settlement window re-checks verify actions again at end of settlement window
- Webhooks and Slack/PagerDuty alerts on verdict results
- Public hash verification allows verifying verdicts without an account
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| What makes it different | - Reduces communication overhead by maintaining project context through the entire workflow
- Applies Claude Cowork workflow patterns independently without Anthropic affiliation
- Connects design discussions to code implementation across the development lifecycle
- Supports iterative refinement based on feedback and evolving requirements
- Always available to provide engineering support whenever your team needs it
| - Verdicts come from deterministic rules, not language models
- Never blocks actions; verifies after the fact only
- Takes no payment from vendors; paid only by customer
- Tested against real models: Claude, GPT and Gemini
- Priced by verified actions, not seats or agent claims
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 13 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 8 | 0 |
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| Citation Flow (Majestic) | 23 | 17 |
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| Referring domains (Majestic) | 43 | 1 |
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Cowork AI
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