Product / AI agent observability
See what your AI agents do after you ship.
Find silent failures, recurring issues, and users who need help. Connect your existing traces to understand what happened across sessions and releases.
a successful trace can still disappoint a user
Agent fleet
Know which agent needs attention first.
Compare traffic, evaluated success, issue-free sessions, open issues, setup state, and current versions across every observed agent.
Issues
Separate broken behavior from broken infrastructure.
Start with the problem in plain language, quantify its impact, review likely cause and next action, then open representative production sessions.
Search and sessions
Move from a question to the exact production object.
Search across users, sessions, issues, agents, MCP servers, saved groups, releases, and coding-agent activity without building another dashboard.
Workspace analyst
Ask a production question in plain language.
The in-product analyst can use the same bounded workspace capabilities available through the Flowlines MCP server, then return a grounded answer, chart, and product objects to inspect.
What changed in production this week?
CRM Agent quality fell after crm-3.2, while Coding Assistant adoption and verification both increased.
CRM Agent72%-7 pts
Research Agent79%-2 pts
Support Copilot88%+1 pts
Coding Assistant90%+6 pts
Releases
Read the production receipt after every change.
Compare issue-free rate, evaluated success, and review volume, then inspect the prompt difference, related issues, and chats observed after deploy.
Chats behind the difference
Prepare the Acme briefNo issue detectedSuccessful›
Find platform engineersRecovered after one retrySuccessful›
Sync qualified leadsThree repeated tool callsNeeds review›
Use Flowlines with your assistant