Tu equipo de producto puede arreglar tu integración con IA

Dave's research on "timescales" shows that AI integration usually fails not because the technology is bad, but because teams are measuring the wrong things. We keep asking whether AI works when what we should be asking is whether our product still makes sense with AI in it. The tools change. The product doesn't.

This hits our communities hard. When a restaurant uses AI for ordering, when a clinic uses it for scheduling, when a small business automates invoices — it only works if someone who understands the business actually steers the integration. Otherwise la migra app is just another tool nobody knows how to use.

The fix is simple and nobody follows it: put product people at the center of AI decisions, not the engineers who built it. Because a tool that solves the wrong problem is worse than no tool at all.

Why this matters for us: When product decisions ignore the people who actually use the tools, we end up paying more for tech that doesn't work — and that money comes out of our pockets.