A practical first sprint to launch an AI assistant using Codex as the bootstrap model.
Bereich / Train an AI Assistant
Project Log
Project hub for building a tailored AI assistant, from data curation to deployment-ready evaluation.
Train an AI Assistant
Welcome to the project space for creating a focused AI assistant tailored to real user workflows. This log tracks the full journey—from defining scope and curating examples to training, evaluating, and shipping iterative improvements.
What to expect here
- Design notes on assistant behaviors, guardrails, and evaluation goals
- Training logs that document data choices, prompt structures, and Codex-based scaffolding
- Playbooks for testing, benchmarking, and monitoring quality over time
- Deployment considerations for integrating the assistant into real tools and processes
Follow along as we evolve from Codex prototypes to a reliable, production-ready assistant.
Current Focus Areas
- Build an evaluation harness with a small but high-quality seed set.
- Iterate prompts with transparent change logs.
- Capture failure patterns (hallucination, missing context, tone drift) and address them explicitly.