annotate

What problem does it solve?

Tired of manual AI log analysis and complex evaluation setups? This Skill automates the intricate process of evaluating AI agent performance, extracting key data, and setting up LLM-as-a-judge systems. Save significant time and reduce complexity in your AI development lifecycle, allowing you to focus on improving your models.

Core Features & Use Cases

• Automated Data Ingestion: Seamlessly transform raw AI agent log data into a normalized, structured format ready for analysis.
• Flexible Feedback Configuration: Define precise evaluation criteria, granularity, and rubrics for both human and AI judges via a dedicated API.
• Interactive Annotation Workflow: Utilize a powerful React-based frontend and FastAPI backend to efficiently annotate AI agent transcripts and collect high-quality feedback.
• Use Case: Imagine you're developing an AI chatbot. Use this Skill to ingest conversation logs, define criteria for "helpful" and "unhelpful" responses, and then efficiently annotate interactions to train or fine-tune your model, ensuring better performance and user satisfaction.

Quick Start

Generate the boilerplate ingestion script to prepare your raw AI agent logs for annotation and evaluation.