60 Days of Production AI Systems · chapter 2 of 10
From LLM Demo to AI Product
The gap between a capable model and a product people can rely on: evidence, structure, and choosing the right shape.
6 of 6 published
Chapter guide · 6 min readEverything that makes an AI demo impressive is a constraint you have not added yetThe whole chapter in one read. Then go part by part below.- 01
Day 7 · Explainer · 2 min read
Why confident AI answers still need evidence
Why confident language still needs evidence, boundaries, and uncertainty paths.
On the map: Retrieval - 02
Day 8 · Explainer · 1 min read
Why production AI needs structured outputs
How structured output turns model text into something software can safely use.
- 03
Day 9 · Article · 2 min read
Why a capable model is still not a product
Why strong model capability still needs workflow, product, and ownership design.
On the map: Web App - 04
Day 10 · Comparison · 2 min read
When to use a chatbot, workflow, or agent
A practical way to choose between conversation, repeatable workflows, and bounded autonomy.
On the map: Agent - 05
Day 11 · Explainer · 2 min read
Why RAG is an evidence design problem, not a buzzword
Why RAG is really about trusted evidence, not just letting the model search.
On the map: Retrieval - 06
Day 12 · Explainer · 2 min read
Why retrieval quality starts before search
Why answer quality starts when knowledge enters the system, not when the user asks.