Getting started
Create an account, point TAIP at your application, and let discovery map it. Your first suggested tests are ready before you have written any.
Documentation
Everything you need to run TAIP
Start here. Full API and CLI references are being written; what is below is what you can use today.
Quality gate in your pipeline
A GitHub Action and a zero-dependency Node CLI that run your gate suite against a deployed environment and fail the job when it does not pass. Webhooks for GitHub and GitLab too.
MCP server for AI agents
TAIP exposes its platform to coding agents over the Model Context Protocol, so an agent can discover an application, create and run tests, and read failures without leaving your editor.
Reference documentation
Per-endpoint API reference and CLI documentation are in progress. Until they land, the changelog is the most reliable record of what shipped.