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Builders are trying a new kind of model that returns a typed answer, not text. They use it for fast, cheap sorting steps in agent workflows
- Builders describe a new kind of model that returns a typed answer and a probability instead of text.
- Dozens of experiments on X, Reddit, and vendor blogs put it at the sorting and routing steps of an agent workflow for cents.
- Several of the same builders say the idea is old and only the speed and price are new.
- All of this followed one launch in one week, so it is a news reaction until the experiments turn into products.
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First seen 3 September 2026
If you are a PM
- Find one sorting step in your product that a full language model handles, and price it with a decision model instead.
- Ask for the confidence number these models return and route only the uncertain cases to a person or a bigger model.
- A step that costs cents and answers in milliseconds can become a consumer feature. Look for one.
If you are a designer
- Fast answers change the interaction. A classification that returns instantly can live inline, not behind a loading state.
- Draw what the person sees when the model is unsure. That state is where the value sits.
Who said it
Hamel Husainx.com · 20 September 2026
Can you use Jev for Evals? Yes! Remember that a LLM Judge is also classifier*. Make sure to test your classifiers against human labels and don't overfit. Hope this helps! * https://t.co/dKYUiOnNDl https://t.co/8FhY6bQX7L