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
Ai Engineering Fundamentals
6 posts in this category.
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
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
Fine-Tuning Is Usually the Wrong Answer Before You Fix Your Interface
Fine-tuning can be powerful, but it often gets blamed for problems that actually belong to prompt design, retrieval quality, or product constraints.
2026-04-17 · makeyourAI.work
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
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