Why useful, scalable B2C AI apps are so hard to build
Draft. Outline to replace with the real post:
The two problems nobody solves together
- “Actually useful”: the agent must not silently do the wrong thing.
- “Scalable”: every session costs real inference money; most users never pay.
What a single turn really costs
- Walk one user journey with real numbers: user logs a meal, what the turn costs, what a typical user costs per month, what they pay.
Where usefulness breaks
- A war story: the time the agent committed the wrong food, and what it took to catch it (evals, canaries, tool gates).
Where the money breaks
- Cost per user vs. price paid; why one bad retention month erases the margin.