Another good use I found for @typesafeai’s Jev: automatically switching Claude Code models based on what I’m working on.
I built JevShift for this. It looks at the task and recent context, then picks a model. Here’s a quick demo 👇
i fingerprinted this "union alpha" which turned out it is (unbiased/pareto) for 15 times in 100 minutes:
02:05-02:34 UTC: a fingerprint matching hermes-4-405b in my library, 4 of 4 probes.
02:37: every probe value changes at once. new model.
02:40-03:46: a signature matching
Union Alpha is revealed on OpenRouter as @TheUnbiasedCo Pareto!
Impressive detective work and demand from the community cut this stealth period short, but you can continue using it now: openrouter.ai/unbiased/pareto
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Fabel 5.1 is where finally I feel claude code talk concise and relevant! It gets the point much faster, do not generate long essay result for a simple question and so far so good!
Fable 5.1 makes Claude Tag even more useful. Here it builds a last-minute leadership deck from a metrics spreadsheet and other data across Slack, spots a vendor report that disagrees with the numbers, and flags it before moving on.
Claude Tag is available in Slack on Team and
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