RAG vs fine-tuning: choosing an approach for a prototype
A decision framework for comparing retrieval-augmented generation and fine-tuning against data freshness, traceability, and behavior requirements.
Mar 14, 2026 8 min read
Read Insights
Practical AI, zero fluff
Technical guides, case breakdowns, and production patterns from building real AI systems. Written for engineers and operators, not audiences.
Latest
AI Chatbots
Evaluating chatbot quality beyond deflection
A practical framework for evaluating resolution quality, escalation behavior, and user feedback in a scoped chatbot prototype.
Mar 28, 2026 6 min read
Read article Engineering reliability into agent workflows
Tool contracts, state handling, and human review are architecture concerns to address when researching and prototyping agent workflows.
Feb 27, 2026 10 min read
Read Observability questions for an LLM prototype
A starting checklist for request tracing, usage measurement, validation failures, and provider errors during controlled AI development.
Feb 10, 2026 7 min read
Read Designing an AI lead-qualification experiment
A project-scoping framework for testing structured lead intake without assuming conversion gains or autonomous CRM updates.
Jan 22, 2026 5 min read
Read How to scope an AI engagement without over-engineering the first sprint
The biggest failure mode in AI projects is not technical, it is discovering in week 6 that you built the wrong thing. A scoping process that prevents it.
Jan 8, 2026 9 min read
Read Get new posts in your inbox
Practical AI content, published when there's something worth saying — typically 2–3 posts a month.