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Chat copilots and messaging with decision models

Assistants that read a chat thread and decide intent, risk and reply suggestions in messaging apps.

49 public projects · page 2 of 2

  • AI companion emotion system that reads emotions from the companion's own written thoughts with Jev probabilities via OpenRouter.

    ProjectprototypeJavaScript
  • Desktop tool for testing chat endpoints conversationally, with rule checks and judged checks including TypeSafe's System One.

    ProjectprototypeTypeScript
  • Self-hosted helper for tricky chats and everyday decisions: Jev makes typed checks, an LLM handles language, the user decides.

    ProjectprototypeTypeScript
  • Chat-shaped command bar where Jev picks the tool, arguments, confirmation and reply type, and code builds replies only from tool data.

    ProjectprototypeTypeScript
  • Self-hosted Feishu bot and web workbench for Jev choices with probabilities, plus experimental word-by-word writing.

    ServiceprototypeTypeScript
  • Databricks App that uses a Jev Choice over named routing options to pick which Foundation Model endpoint answers each message.

    ServiceprototypePython
  • macOS WeChat helper where an LLM drafts replies and Jev classifies intent, rates risk and ranks the candidates; you press send.

    ProjectprototypeSwift
  • Companion that answers only with facial expressions: Jev picks one of 16 moods for each message and a blob avatar morphs its face.

    ProjectprototypeTypeScript
  • Turns any local LLM into a Jev-style engine via masked-logit softmax, or proxies OpenAI-compatible APIs or Jev; includes a chat crush radar.

    ServiceprototypePython
  • CopilotKit's self-hosted personal agent where Jev decides if a reply becomes a clarification panel, an options comparison or prose.

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

    ProjectprototypePython, Swift, Kotlin
  • A chatbot with no language model: every word is chosen by Jev Choice questions from thousands of options, with lookahead and self-critique.

    ServiceresearchPython
  • Standalone Jev-class emotion model: one pass over a message sequence returns calibrated PAD scores, an emotion family and yes/no judgments.

    Projectresearch
  • Android AI chat client and SillyTavern-compatible endpoint where Jev screens memories for relevance and serves as a judge tool.

    LibraryproductionKotlin
  • 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
  • Terminal Q&A app where Jev sets response policy and reviews drafts while OpenAI only writes, orchestrated with LangGraph.

    AppprototypePython
  • ChatGPT-style web demo where Jev answers by choosing from predefined or custom answer sets, such as Yes/No, Pirate or Tabloid.

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

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

    Hook