Specify, don't prompt.

After twenty-five years across agencies, corporations and startups, one pattern shows up everywhere: the most capable teams can still fail to deliver the vision. The failure rarely looks like a missed deadline. It looks like a product that is "done" but not quite right — features that don't match the original intent, edge cases nobody agreed on, and three teams reading the same requirement three different ways.

Smaller teams avoid this because they keep the vision in a shared head. Everyone sits close enough to correct the drift in real time. As organisations scale, that informal alignment breaks. Vision gets handed off in documents, slides and roadmaps. Each handoff adds interpretation. Delivery capacity grows, but the clarity of the input does not.

The same problem reappears in a different form when AI enters the workflow. Prompting as a workflow collapses the moment real product work shows up. Requirements shift, edge cases emerge, three teams interpret the same paragraph three different ways, and the AI you prompted last Tuesday has forgotten every detail by Thursday. What starts as a productivity shortcut becomes a second job: re-prompting, re-explaining, and rediscovering context that was never written down.

The result is the strategy-execution gap in both directions. Organisations spend more on delivery teams and more on AI tooling, and still ship products that miss the mark. Not because the builders or the models are bad, but because they are asked to build from ambiguous intent.

Spec-driven development is the missing layer. Not another strategy tool. Not a faster ticket system. A single source of truth that turns vision into concrete, testable behaviour — so product, engineering, QA and AI coding agents can all point at the same specification and say: yes, this is what we're building.