About AI Practitioner — Applied AI for Product and Engineering

AI Practitioner covers the implementation side of AI — not the hype cycle. If you are building AI features, deploying LLMs, or managing AI product decisions, this is for you.

What we cover

• LLM evaluation frameworks that actually predict production performance
• Fine-tuning vs RAG tradeoffs and when neither is the right answer
• Agents, observability, and production monitoring
• Responsible AI checklists for shipping safely
• The gap between demo performance and production reality

Who writes it

Published by Amon Taboi via Crescevo. The stack running this newsletter — Ghost, n8n, Listmonk, Dify — is itself AI-assisted. We write about what we use.

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