Converra continuously evolves your agent's prompts—without risking regressions. Changes are simulated offline and gated before anything ships.
Performance Lift
Variant 3: 70% vs Baseline: 53%
If you can measure it, Converra can optimize for it. Here are the most common failure modes teams bring to us:
Performance degrades as models update and usage patterns shift
Token usage spikes without visibility into what's driving it
Response times creep up, hurting user experience
Same inputs produce wildly different outputs across runs
Structured outputs break downstream systems and integrations
Ungrounded claims erode trust and create liability
Task completion, CSAT, conversion, safety scores, custom evals—bring your metrics, we run the loop.
Production AI agents are improved through manual, ad-hoc workflows—not through a continuous improvement system. Teams rely on copy-pasted transcripts, one-off tests, and dashboards that stop at observation. As traffic grows, models change, and use cases expand, this approach becomes slow, risky, and impossible to govern.
Build-time prompt frameworks help you find better prompts during development. But once your agent is live, you need a different system—one that continuously improves production behavior while preventing regressions.
Converra is that system.
Learn from actual user conversations
Tied to your business goals
Test changes without production risk
Deploy safely with instant rollback
Monitoring tells you what happened. Converra makes improvement continuous—and safe.
Converra handles the optimization loop autonomously. You set goals and approve what ships.
Production interactions flow in via paste, upload, or SDK. Trigger optimization on-demand or automatically with optional objectives.
Review and approve winners (or enable auto-accept). Converra tracks production performance and alerts you if something drifts.
Every optimization goes through validation before anything touches your production prompts.
Manual approval before deploy
Review simulation results and approve winners before they're applied. You stay in control of what ships.
Version history & rollback
Every optimization creates a new version. Roll back to any previous version with one click if something doesn't work.
Statistical confidence scoring
Only variants that show real improvement with statistical confidence are recommended. No more guessing if changes helped.
Full optimization history
See every optimization attempt, what was tested, and how variants performed. Full visibility into what changed and why.
Every optimization produces a clear before/after comparison with statistical confidence.
Support agent resolved more tickets without escalation after 3 optimization cycles
Onboarding flow conversations became more helpful and engaging through iterative refinement
Sales assistant responses became more focused and on-topic after optimization
Whether you paste data, use our SDK, or connect via MCP—Converra turns your prompts and production data into actionable insights.
"Why is my support agent failing on refund requests?"
Converra analyzes conversation patterns and surfaces the specific failure modes in your prompt.
"Optimize my onboarding prompt for task completion."
Generates variants, runs simulations against realistic personas, and recommends the winner.
"Show me prompts that are underperforming this week."
Tracks performance over time so you catch regressions before users complain.
Start no-code, then integrate when you're ready.
Node.js SDK
TypeScript, typed APIs
MCP Server
Claude, Cursor, any MCP client
REST / JSON-RPC
Any language, any stack
We're working with a small group of beta customers and adding teams by invite. If you run production AI agents and want to stop hand-tuning prompts, request access and we'll reach out.
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