Which model should power each agent task in production?
Logical-Silver-272 · reddit · 2026-07-24
A founder who recently moved from big tech to a Series B company says their new job is to decide which models to use for different AI-agent tasks, how to route between them, and where the real cost-quality tradeoffs sit in production.
They outline five concrete use cases:
- extracting structured data from handwritten text in photos
- web scraping that survives layout changes
- non-regression testing that understands intent, not just syntax
- ad-campaign management and analysis
- a fully automated SEO agent from research to publishing
The post asks a practical question: where is it worth using smaller models, and where does trying to save money end up costing more?
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