Handit.ai
Handit.ai is an open-source engine that automatically evaluates AI agent decisions, generates improved prompts and datasets, conducts A/B testing, and provides controlled deployment of optimizations.
https://www.handit.ai/?ref=producthunt
Product Information
Updated:Jul 16, 2025
Handit.ai Monthly Traffic Trends
Handit.ai received 479.0 visits last month, demonstrating a Significant Growth of Infinity%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Handit.ai
Handit.ai is a comprehensive AI optimization platform designed to address the common challenges faced when running AI agents in production environments. Unlike traditional monitoring tools that only flag issues, Handit.ai takes a proactive approach by not just identifying problems but automatically generating and testing solutions. It was developed over nine months to help teams debug AI agents in production and has evolved into a powerful tool for maintaining and improving AI performance at scale.
Key Features of Handit.ai
Handit.ai is an open-source AI optimization engine that automatically monitors, evaluates, and improves AI agents in production. It tracks every agent decision, auto-generates better prompts and datasets, conducts A/B testing of improvements, and provides a pull-request-style review system for deploying optimizations. The platform enables continuous AI improvement with minimal manual intervention while maintaining human control over what gets deployed.
Real-Time Monitoring & Evaluation: Continuously tracks and scores every model, prompt, and agent decision using LLM-as-Judge, business KPIs, and latency benchmarks
Automatic Optimization: Auto-generates fixes for identified issues and conducts A/B testing to validate improvements before deployment
Controlled Deployment System: Presents improvements as versioned pull requests with full diff views and one-click deployment options, allowing teams to review and control what goes live
Performance Analytics: Provides comprehensive dashboards that tie every optimization to business impacts and ROI metrics
Use Cases of Handit.ai
AI Agent Performance Optimization: Helps teams identify and fix issues with AI agents that are silently failing or experiencing performance degradation in production
Prompt Engineering Management: Addresses prompt drift and automatically generates and tests improved prompts to maintain consistent performance
Production AI Monitoring: Enables teams to track and optimize mission-critical AI systems in production environments with minimal manual intervention
Pros
Zero manual tuning required for continuous improvement
Open-source architecture provides transparency and customization options
Comprehensive monitoring and optimization in a single platform
Cons
Requires initial setup and integration with existing systems
Some advanced features may be limited to premium versions
How to Use Handit.ai
Get Started: Create an account on Handit.ai and obtain your API key from the dashboard (dashboard.handit.ai)
Install SDK: Install the Handit SDK and configure it with your integration token. Never commit the token to version control - use environment variables in production
Add Agent Tracing: Import the HanditTracker and wrap your main agent function with the @tracker.start_agent_tracing() decorator to capture all agent activities
Configure Tracking: Set up the tracker configuration with your API key: tracker.config(api_key='your-api-key')
Implement Error Handling: Ensure your agent functions include proper try-catch blocks to capture and report errors with full context
Monitor Performance: Access the Handit dashboard to view real-time metrics, error logs, and performance trends of your AI agents
Review Improvements: Review auto-generated fixes and improvements suggested by Handit through the dashboard's PR-style interface
A/B Test Changes: Use the built-in A/B testing features to evaluate proposed improvements before deployment
Deploy Updates: Use one-click deployment to promote successful changes to production, with the ability to instantly rollback if needed
Track Impact: Monitor business impact metrics and ROI through Handit's dashboards to measure the effectiveness of deployed improvements
Handit.ai FAQs
Handit.ai is an open-source engine that automatically improves AI agents. It evaluates every agent decision, auto-generates better prompts and datasets, A/B-tests improvements, and lets users control what changes go live in production.
Handit.ai Video
Popular Articles
Grok release AI Companion—Ani & Rudi, with NSFW Features
Jul 16, 2025
SweetAI Chat vs HeraHaven: Find your Spicy AI Chatting App in 2025
Jul 10, 2025
SweetAI Chat vs Secret Desires: Which AI Partner Builder Is Right for You? | 2025
Jul 10, 2025
How to Create Viral AI Animal Videos in 2025: A Step-by-Step Guide
Jul 3, 2025
Analytics of Handit.ai Website
Handit.ai Traffic & Rankings
479
Monthly Visits
-
Global Rank
-
Category Rank
Traffic Trends: Apr 2025-Jun 2025
Handit.ai User Insights
00:00:09
Avg. Visit Duration
1.36
Pages Per Visit
36.52%
User Bounce Rate
Top Regions of Handit.ai
MX: 100%
Others: NAN%
Latest AI Tools Similar to Handit.ai
Hapticlabs
Hapticlabs is a no-code toolkit that enables designers, developers and researchers to easily design, prototype and deploy immersive haptic interactions across devices without coding.
Deployo.ai
Deployo.ai is a comprehensive AI deployment platform that enables seamless model deployment, monitoring, and scaling with built-in ethical AI frameworks and cross-cloud compatibility.
CloudSoul
CloudSoul is an AI-powered SaaS platform that enables users to instantly deploy and manage cloud infrastructure through natural language conversations, making AWS resource management more accessible and efficient.
Devozy.ai
Devozy.ai is an AI-powered developer self-service platform that combines Agile project management, DevSecOps, multi-cloud infrastructure management, and IT service management into a unified solution for accelerating software delivery.
Popular AI Tools Like Handit.ai
A2A Protocol
A2A (Agent2Agent) Protocol is an open interoperability protocol developed by Google that enables seamless communication and collaboration between AI agents across different frameworks and vendors, regardless of their underlying architecture.
VoltOps
VoltOps is a framework-agnostic LLM observability platform that provides real-time visual monitoring, debugging, and optimization tools for AI agents across any technology stack.
HPE GreenLake AI/ML
HPE GreenLake for Large Language Models is an on-demand, multi-tenant cloud service that enables enterprises to privately train, tune, and deploy large-scale AI models using sustainable supercomputing infrastructure powered by nearly 100% renewable energy.
RunPod
RunPod is a cloud computing platform built for AI that provides cost-effective GPU services for developing, training, and scaling machine learning models.