found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant
Cookbook: SDE Cascade
A two-stage extraction cascade: a mini model extracts, a Noul battery verifies each field in one request, and a 0.7 gate escalates to a reasoning model, sitting on the cost/quality frontier.
- Category
- Cookbooks & Demos
- Published by
- TypeSafe AI
- Author
- —
- Added
- 2026-09-20
Tagsofficialcookbookextractionconfidencecost
Highlights
- Pipeline: gpt-5.4-mini extracts, one Noul battery verifies fields in a single call, and a 0.7 gate escalates to gpt-5.5.
- A fabricated description read hallucinated 0.95 and off_target 0.85 while correct and empty fields read 0.02 to 0.14.
- On an internal 100-prompt sweep the cascade sat up-and-left of every single model on the cost/quality chart.
- A jsonschema-valid but semantically wrong record shows validation alone cannot catch extraction errors.
Watch out
The cost/quality sweep is a historical snapshot not recalculated at the current Jev rate, so re-run it before quoting the numbers.
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From the community
Posts from builders shipping with Jev right now.
Instant compaction with Jev
A Claude session from 1M to 86K tokens
This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to ... 86K tokens! 😮 Ask your claude to install it and be Show more
found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant