Back to latest
Artificial Intelligence/

Small Models, Clearer Products

The race for scale obscured a more useful question: how little intelligence does a great product actually need?

Theo Martins

Staff Engineer

6 minute read
Abstract luminous intelligence form in violet and blue

Scale is not a product strategy

The largest model is often the easiest choice to explain and the hardest one to sustain. Cost, latency, privacy, and reliability become product constraints long before a benchmark score becomes visible to a customer.

Designing around a narrow promise

Smaller models thrive when the job is explicit. Classification, extraction, routing, and constrained generation reward careful context more than unlimited parameters.

Evaluation is the real interface

A clear evaluation suite forces a team to define what good means. That definition becomes the product boundary—and often its greatest competitive advantage.

Intelligence should feel proportional

The future may belong to dozens of modest systems, each reliable enough to disappear into the work.

Theo Martins

About the author

Theo Martins

Theo is a systems engineer interested in resilient infrastructure and humane tooling.

Staff Engineer

@theomartins

Continue reading

Related articles

Reporting and essays on the tools, people, and systems moving technology forward.

A considered inbox

One sharp idea, every Sunday.

The week’s most useful technology stories, edited for signal. No breathless takes. No daily noise. Join 18,000 curious readers.

Free forever. Unsubscribe whenever you like.