Multi-Agent Review Board
Let AI agents from different vendors cross-review tasks automatically, reducing manual coordination
- Problem
- When using multiple agents, developers manually pass Markdown docs or copy-paste between them for cross-validation, which is cumbersome; agents from the same vendor may share blind spots, so cross-vendor review is needed to improve quality.
- Solution
- A lightweight collaboration platform where users configure multiple agents from different vendors; automatically assigns tasks, exchanges context, and cross-reviews results, then aggregates output; reduces manual intervention and improves delivery quality.
- Users
- Indie developers and small AI teams using multiple agents for complex tasks
- MVP
- Integrate 2-3 mainstream agent APIs; define task flows and review rules; auto-pass context and collect feedback; simple web UI for progress tracking
- Revenue
- Subscription based on task runs or concurrent agents
- Why now
- Demand for multi-agent collaboration is growing but tools are vendor-locked; indie developers can quickly integrate multiple APIs