DocuTect AI is a documentation intelligence platform that uses multiple LLMs to detect hallucinations, score accuracy, and automatically generate fixes — before your users hit the confusion.
AI Models tested per audit
Wizard from input to PR
Docs in Context Hub
Automated remediation
Developers trust API docs. But LLMs trained on stale data hallucinate endpoints, invent parameters, and fabricate response shapes — silently breaking your users' integrations.
LLMs confidently describe API endpoints that no longer exist.
DocuTect fires synthetic queries at multiple models and cross-checks every answer against your real documentation.
Docs get stale. Nobody notices until a user opens a support ticket.
Scheduled recurring audits run automatically — daily, weekly, or monthly — and alert you the moment scores drop.
Fixing hallucinated docs is a slow, manual, thankless task.
AI generates precise remediation patches and opens a GitHub PR. One click to merge.
You have no visibility into which docs are accurate and which are drifting.
Per-doc accuracy scores, hallucination heat maps, and model leaderboards give you a complete picture at a glance.
From raw docs to a merged PR fix in minutes.
Point DocuTect at a GitHub repo, upload a file, or paste content manually. AI scans and discovers all relevant endpoints and documentation files.
The engine creates realistic, adversarial developer questions — timeout handling, auth failures, rate limits, edge cases — that stress-test your docs.
Every query runs through GPT-4.1, Claude Sonnet, and Gemini Flash simultaneously. Answers are compared side by side.
A judge LLM evaluates every response against your source documentation, flagging fabricated facts, wrong parameters, and invented behaviour.
Each doc and model gets a numeric accuracy score with annotated evidence. You see exactly what failed and why.
DocuTect generates corrected documentation and opens a GitHub pull request. Review and merge — done.
Keep your public developer documentation accurate as your API evolves. Catch breaking changes before they break integrations.
Spend time on advocacy, not on manually verifying that every code example still runs and every endpoint still exists.
Run automated regression tests on your docs the same way you run them on your code. Get a score, not just a vibe.
Connect the audit pipeline to CI/CD. Every deploy automatically checks whether docs kept up.
If your product surfaces LLM answers to users, you need to know how accurate those answers are before users find out the hard way.
Free tier lets any project audit its README and API docs automatically, ensuring the community always gets the right information.
Start with 3 free audits. No credit card required. See your first hallucination report in under 5 minutes.
Get started free