Connect the traces you already collect.
Bring OpenTelemetry, Langfuse, or LangSmith. Keep your current trace provider and add cross-session behavioral analysis.
Book a setup meeting →Compare connection paths →Behavioral observability for AI agents
See the agent failures no one reported.
Know what users need, where agents fail, and when your team should act.
Connect your existing agent traces, or install the plugin to instrument an MCP server.
24M+ messages ingested
Free plugin. Hosted service terms are separate.
Claude CodeCodexOpenTelemetryLangfuseLangSmithMCP
Analyzed chats8,426+12.4%Active users3,221418 returningIssue-free84.7%of analyzed chatsNeeds attention38across 29 users
What people do
SessionsTop use cases
01Find candidates by role1,284
02Prepare an account brief918
03Enrich a company record704
04Draft personalized outreach512
Why chats need attention
ImpactRecurring issues
Search stopped before it began18 chats
The agent invented a constraint11 chats
Results were too weak to use9 chats
What should Flowlines watch?
Tell us what matters. Get notified when it happens.
Choose a business or product outcome, or describe your own signal in plain language. Flowlines watches production conversations and routes the right moment to your team.
Live notification previewWatching production
Flowlines
#sales-intentA user is evaluating 80 seats for the Pro plan.
They asked about pricing, security review, and rollout timing across the same journey.
Production sessions›Matching signal›Right team notified
Why did the user still fail?
A successful trace can still fail the user.
Flowlines reads the outcome behind the status, then shows which successful traces still ended in repetition, abandonment, or an unmet request.
Production sessions3 matching sessions
One production operating layer
From the fleet to the exact session.
Open the view that matches the decision in front of you.
01Agent fleet
Compare traffic, outcomes, issue-free sessions, active issues, setup, and versions.
Open agents ›02IssuesSeparate behavior from reliability, quantify impact, and review the next action.
Open issues ›03Users and cohortsSee adoption, repeat use, quality, affected people, and groups that behave differently.
Open users ›04Search and sessionsFind any user, session, issue, agent, MCP, group, release, or developer.
Open search ›05ReleasesCompare production windows, prompt versions, related issues, and chats after deploy.
Open releases ›06MCP observabilityUnderstand servers, tools, clients, identities, complete journeys, and outcomes.
Open MCP ›Where does Flowlines fit?
Keep tracing. Add the production operating view.
Your trace platform explains one run. Flowlines prioritizes what keeps happening across agents, users, issues, sessions, tools, and releases.
Ask Flowlines
What keeps happening to users?
Find recurring behavior across sessions, the users affected, and whether a release changed the outcome.
1Recurring issues2Users and cohorts3Release impact
Use bothExplain the run. Prioritize the pattern.
What are people doing with your MCP?
Turn tool traffic into user behavior.
See who uses each server, what they are trying to accomplish, the tool paths they take, and whether the journey worked.
Explore MCP observability › MCP journeysUse case to outcome
Example workspace · last 7 daysThemed sessions748Reported users286Use-case journeys12Loops to review30
USE CASEsearch_accountsTOOLenrich_companyTOOLget_signalsOUTCOMEBrief ready
7 repeated-call loops
Eight journeys ended without a reported outcome. Seven repeated the same signal lookup.
How do I connect?
Use the path your telemetry needs.
Existing agent traces connect directly. MCP servers use the Flowlines skill to add the tool-call telemetry needed for complete journeys.
Start free
Find the failures hiding behind successful traces.
Free plugin. Hosted service terms are separate.