Directory.³³⁷

Submits binary, categorical and ordered-score questions and returns typed answers with probabilities.

Converts strategy questions to System One requests and normalizes native answers to the project’s result format.

Maps requests to configured complexity classes that drive backend routing.

Sends agent state and typed questions to Jev and parses structured answers.

Evaluates task tier, reasoning needs and production risk; local policy maps results to invocation settings.

Turns tool or action conditions into structured questions and passes Jev answers to local invocation logic.

Maps choice, score, and yes/no questions to TypeSafe System One requests and parses typed results.

Reads DOM or supported visual-region descriptions and returns a supplied candidate action ID.

Only an explicit systemOne call sends state and questions, returning validated typed answers.

Uses invoke to call TypeSafe and parse choice, noul, score and probability fields.

Selects components and layout from a predefined catalog for a renderer to display.

Jev selects a task category; local category mappings determine the model configuration.

Sends application state and questions to Jev and parses Choice, Score or Noul answers.

Sends the task brief and candidate rules to Jev, then resolves execution profiles with confidence and local conditions.

Selects the next browser operation and target element; a separate model writes free text.

Jev scores jailbreaks, harmful content and secret disclosure; thresholds or evaluation errors reject requests.

Judges which checks apply and can add checks when thresholds and rate limits permit.

Selects stale tool calls and results for removal while keeping useful original text.

Maps supported signatures to Jev questions or sends native System One requests.

Submits state and question bundles to System One and returns structured answers to the Assistant.

Jev selects a target and action and estimates presence and risk; local policy decides whether to execute.

Judges whether a finding was introduced by the change, is supported and merits a fix.

Chooses a buy or sell direction from an order book; code manages orders and controls.

Sends predefined questions to Jev and decodes answers for callers; regular models still generate code.

Assesses utterance completeness and whether the user is likely to continue speaking.

Evaluates multiple questions and dynamic candidate spaces concurrently in a single forward pass, logging navigation choices.

Sends a Score question per candidate, reorders and drops low scores; the model id is typesafe/jev.

Adds a destructive-risk judgment after local shell checks and refuses commands above the configured threshold.

Sends state and questions, normalizes answers and retains the raw provider response.

Chooses controls and checks completion or blockage before the test runner operates the UI.

After deterministic routing guards, Jev judges the remaining candidates and required workflow components.

Judges coding-task completion, test results and the need for human review.

Jev evaluates the task against eligible specialists; local dispatch rules use the result.

Attaches a parallel decision head to an open 0.5B model to answer discrete questions directly from token activations.

Selects the next desktop action using OCR text; code operates the mouse.

Makes focused judgments about diffs and codebases to guide staged review.

Classifies the first task prompt and branch state by work type; local policy accepts the result or falls back.

Chooses a legal controller action from structured emulator state.

Judges risks such as exposed credentials or destructive changes; local rules warn or block a commit.

Sends shared state and typed questions to Jev and parses structured answers.

Programmed questions feed Jev judgments into local action logic under runtime budgets.

Makes bounded transcript judgments for checkpoints, note-taking actions or screening before remote text cleanup.

Sends row content to Jev for a match decision, category, or score used by SQL conditions and ordering.

Assesses inputs such as test names, documentation claims and supporting evidence.

Judges each coding turn and routes it to an appropriate model tier.

Extracts log-probabilities of candidate tokens from model vocabulary logits, formatting them into standard Jev responses.

Jev scores task relevance among skills the client is allowed to access.

Chooses the next action from Android screen state.

evaluate, choice, score and noul actions submit questions and retain answers and usage.

Extracts PDF page text and sends it to Jev for form type, page type, and confidence.

Selects sources, time ranges and queries, then ranks retrieved results.

systemOne submits state and named questions and infers answer types from the questions.

Sends page state and permitted candidates to Jev; the existing browser connection executes the actions.

Forwards authorized structured requests to TypeSafe and returns answers with usage accounting.

Scores code quality across correctness, complexity and changeability.

Jev answers probability, choice and score questions for application transitions or model selection.

Chooses DOM actions and judges goal completion or stalled progress; a separate model can supply typed text.

Identifies unnecessary page elements so the extension can reuse hiding rules.

system_one sends context and choice, score or yes/no questions to the API, then parses answers by question name.

Selects a tool before each model step while a language model fills arguments.

Chooses intent, elements, URLs or verbatim spans and judges command completeness and sensitive actions.

When experimental AI is enabled, Jev evaluates replies missed by rules and local thresholds decide whether to hide them.

Sends state and typed questions to Jev and returns probabilities for branching.

Jev reads road and traffic state and selects motion; geometry, collision prediction and braking remain local.

Converts SQL input into System One requests and returns answers through database functions.

Combines yes/no, Choice and Score questions and maps responses to typed values.

Provides claim verification, injection screening and semantic ranking to agents.

Sends scan rules, matched snippets, and file context to Jev to assess likely true positives and suggested handling.

Judges tool calls and outputs and offers a typed question tool for Pi.

Checks writes against project rules and reports violations to the agent.

Makes tactical drone judgments from structured state; code retains flight control.

Identifies sponsored segments in transcripts so code can skip them during playback.

Scores transcribed sentences for an overlay on a video.

Ranks shell history against current input to suggest completions.

Selects a model, reasoning depth and speed setting for each Codex turn.

Batches about thirty lines and asks jev-latest a Score or Noul per line for the stated meaning.

Judges whether DOM elements are ads before the extension hides them.

Chooses targets and actions and assesses completion and risk; local policy controls execution or confirmation.

Asks Jev about file-quality properties; code composes scores and ordering.

Asks whether predefined traits are present or how strongly they appear, recording scores, latency and Token usage.

A shared Client sends state and typed questions and parses choices, probabilities, scores and usage.

Sends workflow state and named questions to Jev and returns structured answers to agents.

Evaluates entry distribution, toxic flow, holding and stress signals for calibration logs.

Maps the same tasks to Jev Choice/Noul questions and normalizes answers to a shared result format.

Sends the draft and reply or quote context to Jev for multiple scores and a posting suggestion.

One System One request per row: Noul, Choice, or Score answers land as ordinary typed columns with confidences.

Matches incoming requests to routes described in natural language.

Scores Discord messages for spam, scams and social-engineering signals.

Jev makes a Choice; the router separately checks availability, permissions, risk and confirmation policy.

Converts the current message into decision questions and receives answers from TypeSafe or a compatible Decisions endpoint.

Assesses the first task’s capability needs; local policy chooses a same-gateway model and keeps the route sticky.

Classifies commit diffs by change type, bug fixes and security issues.

Jev uses Choice to classify pages and Noul to assess careers links, role relevance, filter controls and candidate fit; local thresholds select navigation, job details and saved results.

Selects graph relationships for a search algorithm to follow in Neo4j.

Scores file and directory relevance to guide codebase search.

Connects typed Jev judgments to ACP and MCP workflows.

After length and content checks, Jev judges which chunks to retain while original output is archived.

Jev answers scoring, category and clarity questions; local weights and gates calculate the final label.

Supplies board state, fruit location, and legal direction choices to Jev, selecting the optimal move direction each tick.

Jev scores whether Read, Bash and Grep output blocks are needed; local thresholds keep relevant or uncertain blocks.

Evaluates smart-home entity state to produce sensor values and automation inputs.

Experiments send action candidates or typed questions to Jev, then execute or record the answers.

Jev selects search phrases and highlights references using titles and descriptions, not image pixels.

Intercepts request payloads and uses Jev to score historical messages, discarding outdated tool noise before forwarding to upstream LLMs.

Chooses tactics and unit actions from structured StarCraft state.

Judges how candidate tools, skills, and history relate to the task so local rules can load or retain them.

Adds batched typed evaluation tools to Pi through a shared TypeSafe client.

Assesses paragraphs against style rules such as redundant closings, clichés and excessive hedging.

Sends state and typed questions to TypeSafe, then delivers answers as messages.

Converts input state and options into structured questions, returning results or risk scores for local policy.

Implements the /v1/systemone endpoint (Choice, Score, Noul) by calculating candidate token log-probabilities without text generation.

Chooses concrete browser actions from Playwright page state.

Judges whether shell, write and edit actions may proceed, failing closed on uncertainty.

Builds Noul, Choice and Score questions with Schema and returns answers to the RubyLLM application.

Each asset account sends market state to Jev; execution code places or cancels orders based on the decisions.

Jev reviews completed minute candles and indicators; Python applies confidence and position limits to a simulated portfolio.

Feeds file contents and security criteria into Jev to assess risks such as data exfiltration, obfuscated loaders, and credential leakage.

Runs the same labeled text tasks through both backends and records probabilities, latency and failures.

Selects a fixed workflow and makes structured judgments over bounded diffs, code, or log excerpts.

Exposes classification, scoring, matching and screening as agent tools.

Sends state and typed questions to System One and parses answers for terminal workflows.

Submits custom states and questions to Jev via Next.js API routes, displaying discrete probabilities, latency, and confidence scores.

Judges support messages or chooses lanes and target speed from structured simulated sensors.

Asks Choice, Score, and Noul questions about row text and maps answers to SQL types defined by the questions.

Judges injection and dangerous-action signals for configurable guard policies.

Sends multiple Jev questions over shared state and parses typed answers, probabilities and usage.

Scores diagnostic value and priority to route logs to later models.

Jev answers lane, speed, hazard and pedestrian-yield questions; local rules apply the actions.

Validates requests, calls System One, and decodes typed answers.

Compares the request with the skill roster; inserts a suggestion only when suitable and abstains on failure.

Combines semantic conditions from one parse into Jev Noul questions and maps probabilities to validation results.

Screens and verifies code relevance before whole files enter the agent context.

Uses inferred types and labeled handlers to connect Choice answers to predefined program branches.

Chooses goal actions, tick interventions and the next polling interval from game state.

Sends Jev questions through systemOne and exposes answers as Swift types or dynamic maps.

Chooses guard actions and reactions from structured game state.

Choice selects the next word; Noul evaluates candidate chunks and stopping conditions.

Jev selects controls or groups from locally observed candidates; coordinates and input execution stay on the Mac.

Jev returns a structured decision for the local program; consult the source for the exact decision policy.

Runs fixed questions and measures accuracy, calibration, coverage and escalation rates.

Uses Jev for ranking, verification, action checks and next-step selection, with code applying policy.

Each decision tick asks about movement, view, aiming, firing, and jumping, with a heuristic fallback on API failure.

Sends input to Jev and applies local probability thresholds to outputs and exit codes.

Submits typed questions, validates answers, and lets domain rules choose registered tools with permission and argument checks.

Wraps System One API endpoints in TypeSafeClient to issue parallel question evaluations and parse responses into immutable C# records.

Jev evaluates bounded questions in the background while Hermes retains reasoning and execution responsibilities.

Jev returns APPROVE, DENY or ESCALATE, with local thresholds and policy determining handling.

Classifies email as invoice-related or general and routes it to a handler.

Submits noul, choice and score questions and emits JSON or a primary value.

Sends input and bounded answer options to Jev, then reports judgments and probabilities using local thresholds.

Chooses from bounded syntax and action options; local code constructs programs or invokes tools.