TeamLens AI
AI review panel that simulates expert roles to pressure-test plans, PRs, incidents, releases, and product decisions.
Role-based reviewers surface risks, assumptions, missing information, and disagreement before implementation — a safe alternative to cloning real coworkers.
Catalog entry only — a full write-up lands closer to release.
Related across catalogs
- RepoGuardAIAI project· In progress
Tool-independent framework for AI-assisted repository audits.
- ADHDModeAI project· In progress
Task-aware response layer that gives AI coding agents clearer next actions and resumable progress.
- AgentFlow StudioAI project· In progress
Build AI agents from natural language — generates architecture, tools, MCP servers, memory design, prompts, and deployment files.
- StudioFlowAgentOSAI project· In progress
AI project workspace combining agents, tasks, documents, memory, and tools.
- AI Review KitAI project· Demo ready
Portable AI code review workflows you can drop into any repository — production-focused review for bugs, regressions, security, performance, and missing tests.
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