Assistant state
Message, page, trace, intent, or task context. Keep the state small enough to audit.
Jev Assistant: typed decisions inside real AI assistants.
A Jev assistant is not another chat wrapper. It uses Jev for the small, repeatable decisions that make an agent feel fast and reliable: which model to call, which tool to use, which browser action is safe, or whether a page answers an AI assistant's question.
THE ASSISTANT DECISION CHAIN
State → Jev decision → code, tool, or model
Jev decision
A bounded Choice, Score, or Noul with a probability—not a paragraph that code has to parse.
Next action
Application code calls a tool, chooses a model, retries, asks for approval, or hands control back.
What Jev does—and what it does not do
The useful boundary is simple: the assistant or frontier model keeps the open-ended plan, while Jev handles a closed decision surface. That makes the output easy to test and lets ordinary code enforce thresholds, fallbacks, confirmation gates, and audit records.
- Routing: send an easy turn to a fast model or an ambiguous task to a stronger model.
- Tool selection: choose one tool from a defined set before a smaller model extracts arguments.
- Browser actions: pick the next click or type operation without paying for a full context replay on every step.
- Evaluation and guardrails: score a trace, request human review, or turn a probability into ALLOW / ASK / DENY.
SOURCE-AUDITED CASES
Jev assistant examples from original posts
These cases are linked to the exact source post. Repository buttons appear only where the public repository was checked; numbers remain attributed to the original author.
Jev AgentAUTHOR SOURCE
Stencil QA Agent
A QA loop where Jev selects browser actions while a frontier model plans and vision verifies.
Jev role: Browser action selection, retry and human-review routing
Jev AgentAUTHOR SOURCE
jev-browser-wingman
A bounded browser-action tool for Claude Code and OpenCode on a real logged-in Chrome session.
Jev role: Pick the next click or type action on the visible page
Jev AgentAUTHOR SOURCE
jev-browse
One-call browser sub-tasks for Claude Code and Codex, with Jev choosing each low-level action.
Jev role: Click/type selection and stop-or-return routing
Jev AgentAUTHOR SOURCE
DigitalOcean Action Gateway Jev Tool
Jev exposed as a governed, discoverable tool alongside DigitalOcean's large tool catalog.
Jev role: Typed classification and probability output through a governed MCP endpoint
Jev AgentAUTHOR SOURCE
JEV Fuse
A governed execution layer that turns Jev probabilities into deterministic policy actions.
Jev role: Translate a typed decision into ALLOW, ASK, or DENY before tool execution
Jev AgentAUTHOR SOURCE
typesafe-mcp
An MCP connector that gives Claude Code, Claude Desktop, and Codex typed Jev judgments.
Jev role: Return structured answers and probabilities for bounded questions
Jev AgentAUTHOR SOURCE
jev-router
A per-turn router that sends easy Claude Code or Codex work to a fast model and hard work to a stronger one.
Jev role: Assess task difficulty and choose the model tier
Jev AgentAUTHOR SOURCE
Warden Personal Email Assistant
A personal assistant that uses Jev to classify email work and trigger proactive analytics.
Jev role: Email classification and proactive-workflow routing
Jev for SEOAUTHOR SOURCE
AI Assistant Visibility Audit with Jev
A page-scoring workflow that asks whether an AI assistant can find the answer.
Jev role: Score page answerability for an AI assistant
Jev AgentAUTHOR SOURCE
Elliot ESP32 Voice Assistant
A voice assistant that uses Jev to route between a fast local voice model and a larger LLM.
Jev role: Intent routing between fast and large voice-model paths
Jev AgentAUTHOR SOURCE
Jev + LiquidAI LFM Personal Assistant
Jev chooses tools while a small extraction model turns the request into arguments.
Jev role: Tool selection before argument extraction
WHERE TO GO NEXT
Patterns behind the assistant
FAQ
Jev assistant questions
What is Jev in an AI assistant?
Jev is a typed decision layer. The assistant gives it a bounded state and a question such as which tool, model, browser action, or review path should happen next. Jev returns a structured choice, score, or probability; application code then executes the selected path.
Does Jev replace the main language model?
Usually no. The strongest examples keep a generative model for planning, writing, or open-ended reasoning and use Jev for repeated bounded decisions such as routing, tool selection, browser actions, evaluation, and guardrails.
How can I evaluate a Jev assistant case?
Start with the exact source post and repository when available. Identify the state Jev sees, the bounded decision it returns, the code or tool that acts next, and which metrics are author-reported versus independently reproduced.
Can Jev help with AI assistant SEO?
Yes. One sourced case uses Jev to score whether pages answer an AI assistant's question, then uses engineering changes such as prerendering and structured metadata. Treat those score changes as author-reported until the rubric and measurements are independently verified.