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Intent detection with decision models

Picking the user's intent from a fixed set so a bot, workflow or UI can respond appropriately.

97 public projects · page 3 of 4

  • Rails engine for voice and typed commands: define actions in a Ruby DSL and Jev picks the matching command or page control.

    ProjectprototypeRuby
  • Chat copilot for Mac, Windows, Android and an iOS keyboard that reads chats, judges with Jev or DeepSeek and drafts replies.

    ProjectprototypePython, Swift, Kotlin
  • Pre-registered independent evaluation of Jev on intent classification and confidence-gated cascades, with a transparent erratum.

    LibraryresearchPython
  • Benchmark harness pitting Jev against Claude Sonnet 5 and Haiku 4.5 on Banking77 intent sorting with a confidence gate.

    ProjectresearchPython
  • Benchmark of Jev against low-cost LLMs on 130,000 classification decisions across five datasets for accuracy, cost and latency.

    ProjectresearchPython
  • OEV: 184M-parameter decision engine that scores options in one pass, reporting 0.7705 on typed-decisions and 22 ms per question.

    ProjectresearchPython
  • Production control plane for OpenClaw agents: Jev routes each Slack message to its task, with Temporal workflows, an evaluator and memory.

    LibraryproductionPython
  • npm library for chess with Jev: natural-language move intents to legal moves, parallel move evaluation and historical persona opponents.

    LibrarybetaTypeScript
  • Java SDK that lets natural language invoke tinystruct @Action methods, using Jev as a semantic dispatcher with confidence gates.

    LibrarybetaJava
  • I Ching divination site where charts and verdicts come from code and Jev only classifies the question's topic and screens unsafe ones.

    DemoproductionTypeScript
  • AstrBot group-chat plugin fork that adds a 50-70 ms System One check on whether the bot should chime in, after the original random gate.

    DemobetaPython
  • Zero-build local playground for Jev with browser-agent, intent routing and context-pruning presets, including a Playwright agent.

    AppbetaJavaScript
  • Native macOS launcher and window manager that optionally uses Jev to match loose natural-language commands to known actions.

    DemobetaSwift
  • Draw on a tldraw canvas by voice while pointing a webcam-tracked finger; Jev decides command, action, shape, colour, target and place.

    DemoprototypeTypeScript
  • Symfony demo that triages French public-service requests with one Jev call each: intent choice, urgency score and bug noul.

    AppprototypePHP
  • E-commerce support sandbox where Jev classifies intent, emotion and escalation and blocks risky agent replies before sending.

    AppprototypeTypeScript
  • Customer-service chatbot that asks every level of a routing tree in one Jev call and hands off on human requests or low confidence.

    AppprototypeTypeScript
  • Collection of 22 latency-focused Jev demo apps built by Devin, from shell guards and log sentinels to search and voice turn-taking.

    AppprototypeTypeScript
  • Semantic command palette demo where one Jev Choice over 77 commands per keystroke gives the ranking, beside a fuzzy-match baseline.

    AppprototypeTypeScript
  • Chat interface with no generative model: Jev picks intent, stance, claim and tone, and a deterministic compiler writes the reply.

    DemoprototypeTypeScript
  • Map where you ask anything in plain words and Jev gives every nearby place a probability, lighting up those likely to match.

    DemoprototypeJavaScript
  • One text box that morphs into the right UI card as you type, with Jev answering 14 typed questions per input and code doing the maths.

    DemoprototypeTypeScript
  • Fastino's 340M Apache-2.0 decision classifier that scores caller-defined labels in one forward pass for routing, intent and scoring.

    ModelproductionPython
  • Open multilingual System 1 decision engine built on Laya checkpoints with a router that picks the best checkpoint per request.

    ModelbetaPython
  • nirnay★ 9

    NIRNAY 450M: open Apache-2.0 decision model fine-tuned from Laya that reports 87.9% on Banking77 with fitted ECE 0.045.

    ModelresearchPython
  • Research router where a Qwen3-1.7B belief model scores intent candidates and a small policy decides to commit, retrieve more or hand off.

    ModelresearchPython
  • nev-lite: 11.8M-parameter static-embedding decision head that scores fixed option sets with no transformer pass at inference.

    ModelresearchPython
  • Independent benchmark of Jev, constrained-output LLMs and baselines on intent and spam tasks: accuracy, latency, cost, calibration.

    BenchmarkresearchPython
  • Android chat copilot: Jev judges intent, needs and risk in visible chats, then ranks drafted replies to fill, never send.

    Hook
  • Page companion where a site's actions are WebMCP tools and Jev picks the action a visitor's request means, asking back when unsure.

    Libraryprototype