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4 months ago
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The Open Source Engine that Auto-Improves Your AI
Handit evaluates every agent decision, auto-generates better prompts and datasets, A/B-tests the fix, and lets you control what goes live.
See HandIt in action · 5 min
Trusted by Teams Running Mission Critical AI in Production
Monitoring Isn’t Enough.
You Need Optimization.
Most tools stop at red flags—our open-source engine tests the remedy and rolls it out in prod.
Alerts are table stakes. Handit tags every agent failure in real time, auto-generates better prompts & datasets, A/B-tests the patch and deploys the winner on your approval—while you sip coffee. Zero manual tuning. Continuous improvement baked in.
How we do it
From First Run to Best Run—On Autopilot
Our open-source engine tracks, grades, and ships better versions—so your agents learn while you sleep.
Continuously tracks every model, prompt, and agent in any environment.
Scores output quality using LLM-as-Judge, business KPIs, and latency benchmarks.
Improve your automatically, A/B-test the fix, then one-click Deploy the winner.
Features
Handit.ai: Continuous AI Optimization in Four Steps.
HandIt plugs into prod, generates & tests better versions of your AI, then routes them through a pull-request-style review so you decide what ships.
Real-Time Monitoring
Track performance, failures, and usage across every component of your AI system—live. Instantly spot bottlenecks, regressions, or drift.
Automatic Evaluation
Evaluate your AI on live data with custom prompts, metrics, and LLM-as-judge grading—automatically.
Self-Optimization A/B Testing
Auto-generated fixes land as versioned PRs. View diffs, A/B results, and Approve → Merge when ready.
Ship & Prove
One-click deploy, instant rollback, and business-impact dashboards that tie every merge to $$ saved or users won.
Effectiveness
Real Results, Backed by Data
Our users have seen measurable improvements in performance, efficiency, and ROI. Here’s how Handit.ai has transformed AI systems for businesses just like yours.
Aspe.ai
ASPE.ai was running a high-stakes agent that was silently failing every time. Within 48 hours of connecting Handit, the system identified the issue, tested fixes, and deployed the new prompts
XBuild
XBuild’s AI was suffering from prompt drift that tanked performance across key models. Handit stepped in, ran automatic A/B tests, and deployed the top-performing versions
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Automatic evaluations
