
One source of truth for your team and its AI agents
Rinkata keeps product intent connected from idea to deploy, so your team and its AI agents build the same thing. Goals, specs, decisions, and completion evidence live in one shared hub that Claude, Codex, Cursor, ChatGPT, Gemini, and Grok read and write over MCP. Agents search your knowledge before inventing context, humans make the judgment calls, and finished work ships with proof (tests, screenshots, PRs) that writes itself back into your docs.
Rinkata is a collaborative platform that integrates product intent management with AI capabilities, allowing teams to maintain alignment from concept to deployment. It consolidates goals, specifications, and evidence of completion in a shared hub, enabling both human and AI agents to contribute effectively to the development process.
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.