Every structure begins as a sentence. In the centaur’s world, words can generate logic, interfaces, and infrastructure. Building with AI means designing through explanation — transforming intent into architecture and complexity into sequence.
This chapter is the product of months of immersive building with AI — writing, prototyping, and designing in loops. Treating practice as the strategy sharpened technique and revealed leverage points that abstractions miss.
Take a feature and break it into five verifiable steps. Prompt per step. Commit to shipping the first two by Friday.
Reasoning through behavior before pixels to reduce rework.
Prototyping flows in words to test logic before UI.
Choosing shapes that make downstream work simpler and safer.
Blueprinting triggers, data flow, and steps before implementation.
Designing data access for comparison, de‑duplication, and validation.
Describing the sequence so small integrations write themselves.
Building understanding of failures before fixes to improve debugging.
Designing conversations, correction loops, and visible uncertainty.
Making structure choices explicit: what lives where and why.
Converting implementation notes to clear references people can use.