User sessions on your Claude Connector
ChatGPT App or MCP live inside their AI client, not your UI.
Armature shows you what users do with your product, and runs evals to make sure it keeps working.
Armature's models read every session and identify what the user came to do. Sessions are grouped into use cases and ranked by volume and success rate, including the use cases you don't support yet.
Models scan every session for failures, loops and dead ends, group them by root cause and rank them by how many users encountered them, even when every API response was 200 OK.
Every session is scored on whether the user got what they asked for. Open any of them and replay the full trace: the ask, the agent's thinking and every call. When something breaks, you see exactly where.
Sign up, generate an API key and drop it in your deployment secrets.
Paste one prompt and let your agent wire the SDK in.
Ship it and watch sessions flow in within minutes.
Sessions can carry personal information and secrets, so we treat every one of them as sensitive. Detection models scan sessions and redact PII and secrets by default, before anything reaches storage.
Use it, and your top use cases and issues arrive as ready evals.
Type the ask a user would send, and Armature drafts the rest. No analytics needed.
Each works on its own. Together they close the loop.
Or reach out to us for custom needs.
Capture the sessions users have with your product through any AI agent. See what they ask, watch how agents deliver and fix the issues they encounter. Then run evals that catch regressions before you ship.