Understand what is changing
Short, clear conversations about forward-deployed engineering and applied AI. Episodes are in production; the topics below are the first questions on the list.
Episodes are being produced. Each page previews the question and what the brief will cover before it ships.
Does every AI product need an agent?
Where agent workflows genuinely help, and where a simpler, reliable pipeline is the better engineering call. We map the trade-offs with concrete examples.
Agents · PublishedWhy does a RAG app return weak answers?
Chunking, retrieval quality, reranking and the evaluation step that most demos skip — the usual suspects behind “it sounds smart but is wrong.”
RAG · In productionWhat does a Forward Deployed Engineer actually do all day?
A grounded map of the technical, product and customer-facing skills behind the role, with what the week really looks like on a deployment.
Career · In productionWhat should you check before shipping an AI app?
The go-live details that are easy to miss when moving an AI application from demo to production — reliability, cost, failure modes and rollback.
Deployment · In productionA chunking strategy you can defend in review
How to choose and justify a chunking strategy when a demo becomes a system that people actually depend on.
RAG · In productionAgent evaluations are the new unit tests
Choosing the simplest architecture that reliably completes the task, and building evals that catch regressions before your users do.
Agents · In production