What four judgments run on each keystroke pause?

One call evaluates tone Choice plus commitment Noul, manager-review Noul, and satisfaction Score against the same draft state in parallel.

How do I tell model latency from my server latency?

The UI shows Jev call time beside full keystroke-to-screen round-trip time, so the gap isolates your hosting cost from model latency.

Does typing the same draft twice double my API cost?

Each connection caches the last evaluated draft, and an identical request arriving mid-call joins the in-flight call instead of firing a duplicate.

Can I demo the UI before I have an API key?

It runs in mock mode automatically with hash and keyword placeholders, but tone is not semantically aware until TYPESAFE_API_KEY is set and no mock warning appears.

How do I deploy it, and where does the key live?

Push the repo to GitHub, create an application in Cloudways Velocity and connect the repository and branch; Velocity detects the Node and Express setup from package.json. Add TYPESAFE_API_KEY as an environment variable under App Settings and redeploy. The key lives only in Velocity's environment variables: .gitignore keeps node_modules and any real .env out, committing only .env.example.

Is the first request representative of normal latency?

No, and the README says not to draw conclusions from one data point. Per TypeSafe's docs most calls finish in roughly 70 to 500 ms, but the first call the process makes will likely be slower; in testing it saw several seconds before settling into the expected range on later calls, which it attributes to a one-time connection warmup cost rather than the ongoing baseline.

Which Jev primitives and questions does the integration use?

All four are typed and answered in one parallel call against the same state: tone as a Choice over empathetic, neutral, curt or defensive; unguaranteed commitment as a Noul; needs-manager-review as a Noul; and predicted satisfaction as a Score. The README notes this is the parallel pattern TypeSafe's own docs recommend over separate calls per question.

CommunityJev Tools & CLIs

Jev Support Copilot

Support-draft co-pilot that scores tone, commitment risk, manager review, and satisfaction in one parallel Jev call over WebSocket.

See highlights

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Stars: 0
Language: JavaScript
License: MIT
Published by: Community
Author: zfrqbl-CW
Last verified: Oct 2026

zfrqbl-CW/jev-support-copilot

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A live support reply co-pilot built on TypeSafe AI's Jev model, evaluating tone, commitment risk, escalation, and predicted satisfaction in one parallel call while you type. Deployed on Cloudways Velocity.

Forks: 0
Last pushed: Updated Sep 2026

Repo stats from the GitHub API, cached Oct 2026.

About this project

A live support reply co-pilot built on TypeSafe AI's Jev model, evaluating tone, commitment risk, escalation, and predicted satisfaction in one parallel call while you type. Deployed on Cloudways Velocity. Built for a HackerNoon article on running Jev in production, not just testing it in a playground. While a support agent types a reply, the app sends the draft to Jev over an open WebSocket connection and asks four typed questions in a single call: Tone (Choice): empathetic, neutral, curt, or defensive.

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

Tagscommunity github

Works forJev for Evaluation

Used inJev for Software & DevTools

Languages: JavaScript

Highlights

Sends drafts over WebSocket and evaluates four typed questions in a single Jev call.
Displays Jev time and full round-trip time to separate hosting overhead from model time.
Deduplicates repeats with settled plus in-flight caches returning identical results.
Falls back to deterministic mock answers when TYPESAFE_API_KEY is missing.

Watch out

Mock mode uses deterministic hash and keyword placeholders that are not semantically aware, so confirm real-key mode before trusting output. 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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