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Context · Decision

Find a useful preference

Distinguish a reusable explicit preference from incidental conversation.

What this is worth testing

Your agent keeps the larger task and any action that follows. System One asks Jev for a typed answer on this check.

Research value
HighEvidence confidence is low. This rating describes the research record, not a live Jev probability or a measured saving.
Sample size
About 104 input tokensThe recipe sample length divided by four. This is a planning estimate, not a measured tokenizer count.

$0.04 at Jev's $0.042 per million list rate

$3.12 at a $3 per million example rate

$3.08 input-cost difference for 10,000 uses of this sample

Excludes output charges, host tool calls, retries, hosting, and paid plans. Equal input volume does not establish equal answer quality or savings on a fixed-price subscription. $3 per million is an example rate, not a quoted model price.

Open the shared cost comparison

When an agent uses this

System One asks Jev for a typed answer. Your agent keeps the larger task, the original evidence, and any action that follows.

Example evidence

This is the recipe sample. Replace it with the evidence from your task. It is not a measured result.

Message: In all future code examples for this project, please use TypeScript and pnpm.

What your agent keeps

Suggest only. Apply the host’s consent, privacy and memory rules before saving anything.

Finding

Firsthand Reddit enthusiasm and conflicting X previews establish interest, not successful compaction or lower total cost.

Research value: high. Evidence confidence: low. That rating describes the research record, not a live Jev probability.

Keep useful parts of a long agent session

Try it

Connect System One, then ask your agent for recipe memory-candidate. Inspect the input on the recipe page before you send your own evidence.

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