Humanloop
Description
🖼️ Tool Name:
Humanloop
🔖 Tool Category:
Programming & Development; also fits under Data & Analytics and Productivity & Automation for its AI model tuning and feedback-loop optimization features.
✏️ What does this tool offer?
Humanloop is a platform that helps developers and teams build, test, and deploy better AI applications by integrating human feedback into the AI development lifecycle. It provides infrastructure for prompt management, experimentation, evaluation, and optimization of large language model (LLM) applications like ChatGPT, Claude, and others.
⭐ What does the tool actually deliver based on user experience?
• Rapid prompt prototyping, editing, and version control
• Real-time feedback collection and labeling interface for human-in-the-loop workflows
• A/B testing for prompts and models
• Integrated evaluation metrics to measure quality and performance
• Collaboration features for AI product teams
• API-based deployment and seamless model iteration
🤖 Does it include automation?
Yes — Humanloop automates several parts of the AI app development workflow:
• Auto-logging and tracking of prompt versions and outputs
• Automated evaluation scoring with custom metrics
• Suggested improvements based on feedback and outcome analysis
• Continuous optimization loop with minimal manual intervention
• Scalable feedback pipelines from real users
💰 Pricing Model:
Free trial available; paid plans for scaling teams and enterprises
🆓 Free Plan Details:
• Access to basic prompt management and experimentation tools
• Up to a limited number of evaluations and feedback entries
• Developer-focused features with API access
💳 Paid Plan Details:
• Team Plan: Collaboration tools, extended evaluations, advanced analytics
• Enterprise Plan: Custom infrastructure support, SLAs, security compliance, private LLM support
• Contact for pricing (usage-based or seat-based)
🧭 Access Method:
• Web dashboard for developers and product teams
• CLI and SDKs for integration into development pipelines
• API for logging, evaluation, and deployment
🔗 Experience Link: