blog
The AI answered like an engineer. That was the problem. - The AI gave the perfect technical answer and it was exactly the wrong answer.
making decisions :: Moving from uncertainty to a called choice without over-deliberating.
blog
AI can build anything. So why are you still stuck? - The code is the easy part now. The two hard parts of AI coding are knowing where to start and the fact the AI forgets. Here is help with both.
launch
3.1.2 - Ask for Signals, Not Opinions, From the People You Trust - Choose the decision signal: point to the behavior or result you need to see and explain what decision it will change.
build
2.3.3 - The One Metric That Proves This Works for Real Users - Define the proof metric: say what the metric is, what user behavior creates it and what threshold counts as enough.
build
2.2.2 - Buy vs Build Is a Strategy Choice, Not an Engineering One - Make the buy versus build decision: say what the decision is about, why one side wins and which constraint makes the call.
shape
1.2.2 - What Does "Success" Actually Mean for the First Version You Ship? - Define the version one success definition: say what has to happen, how it will be measured and what number or threshold counts as enough.
shape
1.1.3 - The One-Line Promise That Keeps Your Build Honest Throughout - Write the one-line promise: say who it is for, what result it creates and what it is deliberately not trying to do.