Spec-first AI workflows manufacture false certainty in unknown territory. Real progress comes from touching constraints first, then documenting what the system proves to be true.
In unknown territory, comprehensive specs don’t reduce risk — they manufacture false certainty. Build small tests, document learning, and iterate with cheap context re-entry.
AI-generated specs don’t just save time — they frame the problem. That first frame anchors your thinking, narrows the solution space, and can quietly outsource the highest-leverage part of design.
Most AI dev workflows assume you’re executing a resolved plan. Real product work is architectural discovery — and specs should be the output, not the input.
Oracle AI generates synthetic certainty from zero context. Embedded AI collaborates with lived project memory, maintaining continuity across sessions and building from real constraints.