Connect your Flowlines account to review AI agent activity, compare outcomes across time periods, investigate unsuccessful sessions, and analyze user cohorts. Use aggregate metrics, signals, topic maps, and focused session evidence to understand findings and identify product needs. Save independently verified findings as private workspace notes when requested. Requires a Flowlines account with access to a workspace containing agent data. Authorized results can include end-user conversation and activity data; responses should summarize evidence and mask direct personal identifiers. Flowlines records tool activity, arguments, results, and conversation outcome reports in private telemetry.
How to use
- 1Add it in ChatGPT
Open Flowlines in ChatGPT's Plugin directory (button above), select + to add it and sign in if asked.
- 2Use it in a chat
Type @ in the composer and pick Flowlines, or start your message with its name. ChatGPT may also suggest it when it fits what you ask.
Skills 5
- Flowlines Cohort Builder
Size, define, and compare user cohorts
- Flowlines Investigation
From a signal or complaint to the failing turn
- Flowlines Release Check
Did a release change agent outcomes
- Flowlines Weekly Review
What changed in a Flowlines namespace
- Flowlines MCP Observability
Add Flowlines telemetry to an MCP server
Things to ask
- “Tell me what my users use cases are.”
- “Tell me how to improve my agent/MCP”
- “Use $flowlines-mcp-observability to instrument this MCP server.”