ai-engineering-fundamentals
AI Roadmaps Need Kill Criteria, Not Just Launch Dates
A roadmap without kill criteria assumes every AI feature deserves to survive. That is how weak ideas consume months of engineering time.
2026-04-25 · makeyourAI.work
Tag
Product Thinking
This tag page stays indexable only because it carries a real descriptive frame and points to substantive posts, not thin archive noise.
ai-engineering-fundamentals
A One-Model MVP Is Usually Better Than a Clever Multi-Agent Demo
The first production question is not how many agents you can orchestrate. It is whether one model can solve one valuable problem reliably enough to matter.
2026-04-21 · makeyourAI.work
ai-engineering-fundamentals
Human Review Loops Are a Scaling Mechanism, Not a Temporary Crutch
Human review does not mean the AI system failed. It often means the team understands where automation should stop.
2026-04-20 · makeyourAI.work
ai-engineering-fundamentals
AI Product Specs Need Failure Modes, Not Just User Stories
A user story tells you what the person wants. An AI product spec must also describe how the system behaves when probability does not cooperate.
2026-04-16 · makeyourAI.work
prompting-and-llm-interfaces
Model Routing Only Helps When the Product Contract Is Stable
Routing between models is useful only after you know what the task is, how quality is measured, and where the real variance comes from.
2026-04-15 · makeyourAI.work
ai-engineering-fundamentals
AI Engineer Learning Paths Are Broken Without Product Pressure
The fastest way to waste months learning AI is to study abstractions without having to ship anything that can break.
2026-04-11 · makeyourAI.work