No. 12 · In design · AI & agents · TRAIN
ML for Agent Builders
Auto-Training, Fine-Tuning, and Eval Loops for LLM-Powered Systems
ML for Agent Builders: Auto-Training, Fine-Tuning, and Eval Loops for LLM-Powered Systems.
TRAIN helps agent builders decide when owned ML, fine-tuning, retrieval, evaluation, and drift monitoring are worth the operational cost. Auto-Training, Fine-Tuning, and Eval Loops for LLM-Powered Systems. The framework: TRAIN.
- A practical operating system for founders, operators, and builders working under real pressure
- Designed as a usable field guide: frameworks, decision prompts, and repeatable review loops
- Published as native English and Dutch editions with matching production cover assets
Production status
- Design
- Drafting
- Manuscript
- Production
- Launched
