Support & conversation — page 7

Support ticket triage: TypeSafe Jev judgments plus an explicit policy layer for priority and team routing, with a Next.js triage workbench.

Vibe check before you reply: an Android accessibility overlay that reads the chat on screen and judges the turn with TypeSafe Jev, with per-person memory and RL on the phone

No project description available.

Independent demo of TypeSafe's Jev model: typed decisions with probabilities, measured side by side with OpenAI on support-ticket triage. Live local app plus a recorded replay page.

Local playground for TypeSafe Jev: typed decisions, not chat.

TypeScript demo using Jev as a decision layer for healthcare customer-support routing, urgency detection, and human escalation.

One graph, one policy, two judgment engines. This experiment tests TypeSafe’s published claims about Jev in a support-triage workflow, with a confidence gate that sends uncertain cases to a human.

Support ticket router: Express + node:sqlite, mock and Jev decision engines

Benchmark: TypeSafe Jev vs traditional LLM on support-ticket routing accuracy, latency, and cost

Typed questions over your own state, not a chat. A front end for TypeSafe's System One API.

Feed it context. Break the quiz. A privacy-first, browser-only questionnaire assistant powered by JEV.

Typed decisions, not chat — shadow decision layer (Jev / TypeSafe AI), with a measured comparison against our live CRM.

Real-time Super Mario game autonomously controlled by TypeSafe AI's "Jev" System One Decision Architecture. Features sub-100ms decision loops, live prompt & probability telemetry, multi-provider support (OpenRouter Jev & Groq LPUs), and an offline neural simulator.

TypeSafe Jev judge for UEFN Ducky Automations and Pipelines. Not a chat model.

Jev-powered operations decision support for Backstage: readiness checks, incident triage, change review, template and team recommendations, and catalog reranking.

the realtime sentiment analysis and context-aware backchanneling with Pipecat

Jev-powered deal search engine with a chat frontend — semantic matching + offer eligibility by TypeSafe's Jev, all the money in plain code.

打字即设计的实时 UI 生成器。决策编排驱动：一次概率决策 → 20 个变体 → 纯函数渲染 HTML，全程不调用 LLM 生成文本。

Portable Jev-backed decision and control layer for Home Assistant

A single-page Next.js app that classifies PolyAI BANKING77 customer support queries with Jev, TypeSafe AI's System One model, and streams the results into the UI one ticket at a time.

Benchmarking TypeSafe Jev against 15 chat-model configurations on support-ticket classification: latency, tokens, cost, accuracy.

Benchmarking TypeSafe Jev against general-purpose LLMs on support-ticket routing, with a focus on latency, accuracy, and confidence.

HS code assistant MVP — localhost demo for customs HS6 suggestions

Evaluate Jev (TypeSafe AI) on Japanese customer-inquiry data: 150-item dataset + comparison script (Jev / LLM / rule-based)