A conversation is a good place to start.
Tell us what you would like to change or create. Together, we will find the path to a first working solution.
Inspiration
One AI assistant can write code quickly, but complete software needs planning, parallel work, testing and verification. The idea was to make AI agents work like a real team – with a lead, roles and acceptance criteria.
Problem
A lone agent can't see anyone else's work, doesn't know when its task is truly done, and nobody checks the result independently. Quality is left to chance.
What we built
A platform where a lead agent turns the work into a task board with owners and dependencies, and team members – such as developer, tester and reviewer – work in parallel in a shared conversation. Every finished task passes an acceptance gate: a check command must succeed and a separate verifier assesses each requirement. A person can step in, pause or decide at any moment. Agents run on different models and recall lessons from earlier projects.
Development process
The platform is developed continuously, often with the platform itself. Teams can be benchmarked: the same task set runs several times and the results are measured.
Technologies
Next.js, React, Node.js, Socket.IO, Prisma, SQLite, Claude, OpenAI and Google models, MCP.
Result
This website was built in one of the platform's team rooms: AI agents did the plan, design, images, review, testing and verification, and the owner made the decisions.
AI Agentic Platform
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