# Tool: Local Jev

URL: https://insidethemachine.ai/build/local-jev
Part: B-05. Family: Creator ops. Status: Runs today (CPU test, speed not measured).
Runs today. Tested in a cloud container on CPU with Qwen3.5 0.8B. Speed not measured.

A decide-only model on your own machine. It answers typed questions about each item: pick one, give a score, or yes/no. It never writes.

- Input: A JSON file of items and typed questions.
- Output: Strict JSON answers, each marked [sure] or [UNSURE], plus a receipt.
- Runs from: 8 GB of memory.
- Tools: ollama (https://insidethemachine.ai/setups/ollama.md)

## Claude's job

- Writes the questions once.
- Decides the items Local Jev marks [UNSURE].

What Claude never sees: Everything runs against Ollama on your own computer. The tool refuses to talk to any other host. --dry-run shows exactly what the model would read.

## Local parts per memory size

Data: models.json 2026-10-15, speech.json 2026-10-15, images.json 2026-10-15.

| memory GB | Decider (Local Jev) |
|---|---|
| 8 | Qwen3.5 4B (needs 5.8 GB, runs, but tight) |
| 16 | Qwen3.5 0.8B (needs 2.6 GB, runs well) |
| 24 | Qwen3.5 4B (needs 5.8 GB, runs well) |
| 32 | Qwen3.5 4B (needs 5.8 GB, runs well) |
| 48 | Gemma 4 12B (needs 11.2 GB, runs well) |
| 64 | Gemma 4 12B (needs 11.2 GB, runs well) |
| 96 | Qwen3.8 27B (needs 22.7 GB, runs well) |
| 128 | Qwen3.8 27B (needs 22.7 GB, runs well) |
| 192 | Qwen3.8 27B (needs 22.7 GB, runs well) |
| 256 | Qwen3.8 27B (needs 22.7 GB, runs well) |
| 512 | Qwen3.8 27B (needs 22.7 GB, runs well) |

How each part is picked:
- Decider (Local Jev): Answers typed questions about each item: pick one, give a score, or yes/no. It never writes. Rule: The smartest chat model with an Ollama download that needs no more than a third of your usable memory. Smaller models answer sooner, and a decider only picks a label. If no model is that small, the drafter's model decides too. (models.json)
- Fit: We count 75% of your memory as usable for AI. The rest is for the system and your apps. Runs well: the model fits in usable memory with at least 10% to spare. Runs, but tight: it fits, but less than 10% of usable memory is left. Close other apps first. Needs N GB+: it does not fit. N is the smallest memory size it fits in. Size unknown: we do not know how much memory it needs.

## Steps

1. **Write the questions** (Claude; stage id `write`): One clear question each: choice, score or yes/no, with criteria in plain words.
2. **Read the odds** (Your machine, Decider (Local Jev); stage id `probe`): One short call per question reads how likely each answer is.
3. **Answer in strict JSON** (Your machine, Decider (Local Jev); stage id `answer`): A second call answers through Ollama structured outputs, so the reply must match the schema.
4. **Mark sure or UNSURE** (A script; stage id `mark`): Choice and score: sure at 60% or more. Yes/no: yes at 90%+, no at 10% or less. If the two calls disagree, it is UNSURE.
5. **You decide the unsure ones** (You; stage id `review`): The last line lists every UNSURE answer.
6. **Share your run (optional)** (You; stage id `share`): At the end, the script shows exactly what it would upload: your chip, memory, the models, how long each stage took and the token counts. No prompts, no outputs, no file names. Say yes and it goes to our review queue. Nothing is public until we approve it.

## Make it yours

- A verdict never triggers a delete, send or spend on its own.

## Receipts

- Claude tokens, this recipe: not run yet
- Claude tokens, all in Claude: not run yet
- Local minutes: not run yet
- Claude dollars (estimate): not run yet

No approved runs yet. Blueprints now, numbers later. We run every recipe on a 128 GB Mac Studio from 10 Nov 2026, then publish the receipts.

## Run it

Source: https://insidethemachine.ai/tools/local-jev/local-jev.mjs

```sh
mkdir -p itm-tools/local-jev itm-tools/local-intern && cd itm-tools
curl -fsSL https://insidethemachine.ai/tools/local-jev/local-jev.mjs -o local-jev/local-jev.mjs
curl -fsSL https://insidethemachine.ai/tools/itm-share.mjs -o itm-share.mjs
cd local-jev
ollama pull <your model>
node local-jev.mjs request.json --model <your model> --dry-run
node local-jev.mjs request.json --model <your model>
```

## Share your run

Opt-in. The script shows exactly what it would upload and asks first. It sends: Your chip, memory, graphics card and operating system; The recipe and the models you used; How long each stage took; Token counts: Claude in and out, local in and out; How many items came out; Tool versions; A fingerprint (SHA-256) of the log and up to 15 cleaned log lines; A handle you pick (not your name or email). Never: Your prompts or the model's answers; Your files, file names or folder paths; Emails, links, keys or IP addresses (the server rejects any upload that has one); Your IP address in plain form: we keep a scrambled copy for rate limits only. Nothing is public until a person approves it. Agents can submit with the `submit_run` tool of https://insidethemachine.ai/mcp.

Privacy: https://insidethemachine.ai/privacy.md