What's one mistake developers make when building cost-efficient AI apps?
Developers waste effort optimizing the model instead of the end-to-end system and data access.
“when AI has access to the right data, it spends more time reasoning and coming up with the right outcomes and higher quality outcomes”
A Microsoft Build speaker argues developers commonly over-focus on prompt and model tuning while neglecting whether the AI has access to the right data. The advice is to optimize the whole system end-to-end, since better data access yields higher-quality, more efficient reasoning. It's a practical engineering tip rather than a major industry announcement.