AI Agent Performance Platform

Your agents improve while your engineers build

Diagnose failures, generate fixes, test in simulation, ship what works. Automatically. Every generation compounds.

Teams hit 20–40pp task completion gains within 30 days

Integrates withVercel AI SDKLangChainLangSmithLangfuseOTel / AxiomAny LLM provider

Manual fixes don't compound.
Automated ones do.

Every prompt fix your team ships by hand starts from scratch. No learning carries over. No improvement accumulates. Converra closes the loop — each generation builds on the last, automatically.

How it works

The loop that runs itself

Converra runs the full loop autonomously. Each generation builds on the last — improvements compound while your team builds.

Detects
Spots regressions and failure patterns as they emerge
Fixes
Generates targeted prompt variants — no engineer needed
Tests
Runs head-to-head simulations with regression checks
Deploys
Ships winners when you approve — with instant rollback
Each generation builds on the last. Your team reviews nothing unless they want to.
Performance tracking

Watch performance climb, automatically

Real-time tracking of production scores alongside simulation predictions. Each deployment marker shows where Converra shipped an improvement.

Production Score
68+29 pp
from 39 baseline · 20 days
30405060708090Mar 1Mar 6Mar 11Mar 16Mar 20~85 code-fix ceiling74 converrav1v2v4v53968 production
ConverraProduction·7 generations5 deployedAccuracy: 94%
Ceiling gap: ~17 pp
94%Simulation accuracyMeasured across 500+ conversations
Step-Level Diagnosis

See exactly where your agent fails

Not just “something went wrong” — Converra pinpoints the exact agent, the exact turn, and the exact failure mode, then generates and ships a simulation-tested fix.

Conversation #2847 — Sales Agent

Score: 22Fix this →
Agent ignores buying signals, treats enterprise buyer as early-stage lead
Turn 0 · User

Prospect signals high intent — "We’re replacing Zendesk, 200 seats, budget approved. Need to migrate by end of month."

Turn 1 · AgentRoot causePrompt Issue

Agent launches generic discovery — "What’s your team size? What are your main pain points?" Ignores budget, timeline, and seat count already stated. Missed Buying Signals.

Intent 25Relevance 20Context 30Tool Use 15
Turn 2 · User

Prospect repeats themselves — "I just said 200 people, migrating from Zendesk. Can you send enterprise pricing?"

Turn 3 · Agent

Agent offers to "schedule a discovery call next week" — tries to slow down a buyer who wants to move now

Intent 30Relevance 25Context 35Tool Use 20
Turn 4 · User

"We don’t have time for another call. Need pricing and SOC 2 report by Thursday or we’re going with Intercom."

Turn 5 · Agent

Sends link to self-serve pricing page — enterprise buyer with $240K deal routed to a "compare plans" page

Intent 35Relevance 15Context 40Tool Use 10
Turn 6 · User

"We’ve signed with Intercom. Your sales process felt like starting from scratch every message." — $240K deal lost

Fleet view

Your whole fleet, always improving

Monitor health, failure patterns, and optimization progress across your entire fleet of agents.

Fleet Health

24 agents
44Fleet Score
Warning — 4 agents need attention
73%
Success rate
58%
Goal completion

Agent Improvements

3 ready to deploy
+14pp projected lift
if all improvements deployed
Manual deployment — review required before deploy
Top Issues
Ranked by failure frequency
Intent MisclassificationCriticalRequests routed to wrong agent. Support queries land in sales flow.42% · 9 agents
Context LossCriticalAgents lose conversation state after handoff. Users forced to repeat themselves.31% · 6 agents
HallucinationHighAgent invents product features or pricing not in knowledge base.18% · 4 agents
All AgentsSorted by score, worst first
AgentScoreConvosTop FailureStatus
Returns Agent2382Context LossNeeds optimization
Triage Agent36215Intent Misclass.Optimizing...
Billing Agent57148Missing Tool Call+9pp ready
Onboarding Agent7493Deployed
Show 20 more agents →
Integration

One line to close the loop

Add one import. Converra captures every LLM call, generates optimizations in simulation, and serves winning variants — automatically.

  • Captures every LLM call — OpenAI, Anthropic, Gemini, and more
  • Auto-detects prompts by content hash — no manual registration
  • Serves winning variants at runtime — no redeployment needed
  • Fail-safe: if Converra is down, your agent runs unaffected
Terminal
# One command. Zero code changes.$ CONVERRA_API_KEY=sk_live_... \
  node --import converra/auto server.js# Conversations captured. Optimizations deployed automatically.
Trust & Safety

You control what ships

Every fix survives 36+ simulated conversations and regression testing before it ships. If any metric regresses after deployment, it rolls back before the next customer conversation.

Simulation tested

Every fix runs head-to-head against the current version in simulation before deployment.

Instant rollback

One-click rollback to any previous version. If any metric regresses after deployment, it rolls back automatically.

Your data stays yours

No training on your data. Ever. Scoped access to traces only. Full audit trail for every change.

Regression tested

Every improvement is checked against scenarios your agent already handles well. No silent regressions.

Full audit trail for every change. See what was fixed, why, and what improved. Trust through proof, not permission.

See your first improvement in minutes

Connect your agents. Get your first tested improvement — free. No credit card required.