Jev made our Slack agent 2x faster ️ Our agent can be quite
Classified the best skill, tool, and parameters with Jev before handing prompts to a Slack agent, making it twice as fast.
The original post
Jev made our Slack agent 2x faster ⚡️
Our agent can be quite slow because it needs to read skills and figure out which tools to call.
We used @typesafeai's new model to speed this up by first passing it the prompt and classifying the best skill, tool and params to use before handing it to the agent
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under agents & workflows, classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the agents & workflows page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post