60 Days of Production AI Systems · chapter 1 of 10
AI Systems Basics
- 01
Day 1 · Explainer · 2 min read
Why model choice is rarely the first production AI problem
Why production AI succeeds or fails in the system around the model, not in the model choice alone.
On the map: Model - 02
Day 2 · Explainer · 2 min read
Why LLMs feel intelligent but still generate one step at a time
The practical reason LLM behavior needs constraints, validation, and repeatable output design.
On the map: Model - 03
Day 3 · Explainer · 2 min read
Why tokenization quietly affects cost, limits, and reliability
How a low-level text detail quietly becomes a product constraint for cost, latency, and reliability.
On the map: LLM Gateway, Model - 04
Day 4 · Explainer · 1 min read
Why more context can make an AI system worse
Why a larger context window does not remove the need for context discipline.
On the map: Model - 05
Day 5 · Explainer · 1 min read
Why vague prompts become vague systems
Why prompts become operational instructions once real users depend on the system.
On the map: Model - 06
Day 6 · Explainer · 2 min read
Why creativity settings are product decisions
How sampling settings shape the user experience, not just the writing style.
On the map: Model