Key Features:
- Real-Time Monitoring: Tracks performance, failures, and usage across every component of the AI system.
- Automatic Evaluation: Evaluates AI on live data with custom prompts, metrics, and LLM-as-judge grading.
- Self-Optimization A/B Testing: Auto-generated fixes are tested and deployed through a pull-request-style review.
- Ship & Prove: One-click deploy, instant rollback, and business-impact dashboards to measure ROI.
How it Works:
- Handit plugs into production, generates, and tests better versions of the AI.
- The system tracks, grades, and ships better versions of the AI.
- Automatic evaluation scores output quality using LLM-as-Judge, business KPIs, and latency benchmarks.
- Self-optimization A/B testing deploys the top-performing versions.
Benefits:
- Improved Performance: Measurable improvements in accuracy, response relevance, and success rate.
- Increased Efficiency: Reduced manual tuning and debugging.
- Scalability: Ability to scale AI without second-guessing its performance.
- Cost Savings: Business-impact dashboards tie every merge to $$ saved or users won.
Success Stories:
- Aspe.ai: +62.3% accuracy, +36% response relevance, and +97.8% success rate.
- XBuild: +34.6% accuracy, +19.1% success rate, and 6600 automatic evaluations.
Getting Started:
- Sign up for free.
- View documentation and demo.
- Contact Handit.ai for more information.
Overall, Handit.ai aims to help businesses optimize their AI systems, reduce manual debugging, and improve performance, efficiency, and ROI.