When should I use Test-Jev instead of Invoke-Jev?

Use Test-Jev for a boolean with a threshold defaulting to 0.5. Use Invoke-Jev when you need the probability, full answers object, or JSON views for debugging with -AsJson and -Raw.

How do Select-Jev and Add-JevAnnotation compose in a pipeline?

Select-Jev filters inputs by a yes-no question, Add-JevAnnotation enriches survivors with named Choice and Score answers. Each input costs one request, so filter before annotating.

Does 0.8 mean Jev itself recommends paging?

The 0.8 cutoff is sample policy in the checkout example: at or above pages, below does not page, with a separate Review outcome for uncertainty in the full script. Set your own threshold per incident.

Does the deal-desk example let Jev price the deal?

No. PowerShell computes revenue, margin, priced options, and candidate retrieval locally; Jev only picks among moves meeting the margin floor and buyer budget, with other moves kept visible.

What is the difference between Get-JevRanking and Find-Jev?

Get-JevRanking asks the same yes/no question of each input independently and returns them in descending yes-probability order; Find-Jev sends up to 254 candidates in one Choice request so Jev compares them together and returns the selected one.

How does Add-JevTag handle multiple labels?

Each label is an independent Noul question and several or none may match; all labels share one request per input, the default threshold is 0.5, and results include a Tags string array plus individual probabilities.

What does Get-JevScore return?

One numeric score per input, from 2 to 10 level descriptions supplied in scale order with indexes starting at zero; the weighted score can fall between levels and is not a yes probability or a confidence.

CommunityJev Repos & SDKs

Jev — dfinke

PowerShell module that asks Jev typed yes-no, choice, and score questions from the pipeline, raising named answers as object properties for filtering and selection.

See highlights

Open github.com

Stars: 8
Language: PowerShell
License: MIT
Published by: Community
Author: dfinke
Last verified: Oct 2026

dfinke/Jev

User repository on GitHub

View on GitHub

PowerShell decisions with TypeSafe AI's Jev model: https://typesafe.ai/blog/introducing-system-one-models-and-jev

Forks: 3
Last pushed: Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.

This is one of several Jev listings for the same project. The canonical entry is Jev — mayank953.

About this project

Jev turns messy input into decisions your PowerShell scripts can act on. Jev asks typed questions—yes/no, choice, and score—and returns consistent, structured decisions through a PowerShell-friendly interface. It connects PowerShell to TypeSafe AI's Jev model. For a related PowerShell decision module using Perplexity, see PSAIPerplexityDecisions. This repository contains the PowerShell module. Gallery publication is handled separately from GitHub releases. Set TYPESAFEAPIKEY, then try two checkout incidents:

Quoted from the project's README. Read the full README.

Tagscommunity jevbest catalog-import powershell

Works forJev for Classification Jev for Ranking

Used inJev for Software & DevTools

Highlights

New-JevQuestion maps Type, Instructions, and Criteria to Jev payloads; helpers cover yes-no, choice, and score shapes.
Invoke-Jev enriches state and raises each named answer while retaining the full answers object for later steps.
Pipeline input works directly, including event logs, notes files, commits, command help, and deal sheets.
Runnable examples cover refund, security, logs, notes, release notes, standup, command finder, deal desk, and paging.

Watch out

Each piped state makes one live request so answers may vary, and the 0.8 paging cutoff plus Review band are example policies, not model defaults. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

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TypeSafe

SwiftPM client for the TypeSafe System One API that mirrors the official JavaScript SDK, with typed Choice, Noul, and Score questions over Codable answers.