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human-in-the-loop-ai

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Semantic Flow Language (SFL) is a framework that aligns human intent, AI reasoning, and executable logic. It ensures bidirectional synchronization between meaning and code, allowing for reliable, transparent, and verifiable AI-driven development across various environments.

  • Updated Jan 7, 2026

Governance beneath the model. Custody before trust. Open for audit. Constitutional Grammar for Multi-Model AI Federations, Firmware Specification • Zero-Touch Alignment • Public Release v1.0

  • Updated Jul 1, 2026
  • Rich Text Format

Manual Verification Protection + AI Selector Compatible with OpenClaw . This is a complete TypeScript plugin project—a true implementation of the `before_tool_call` hook that can intercept tool calls, follow OpenClaw’s built-in approval workflow, and features an approval window mechanism.

  • Updated Aug 26, 2026
  • TypeScript

Policy enforcement and execution infrastructure for AI agents. Merchval turns business rules into controlled, auditable actions using OPA, trusted evidence, approval workflows, and fail-closed decisions—helping teams deploy agentic AI safely across e-commerce, insurance, banking, and other high-stakes operations.

  • Updated Aug 21, 2026
  • Python

A chatbot with RBAC and Human-in-the-Loop used for booking purposes covering the research, plan formation, booking, payment. This is built for multiple users like - Booking customers, internal teams (finance, customer support etc..). Built with multi-agent two-layer supervised architecture in LangGraph powered by LLMs including openAI,Gemini, Ollam

  • Updated Jan 26, 2026
  • Python

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