AI Compliance Assistant: LLM Explains Policy, Deterministic Logic Enforces It
goyalshaliniuk · x · 2026-09-16
The fourth pattern in the author's hybrid architecture thread — an AI compliance assistant: the LLM summarizes policies and explains regulations, while a rules layer enforces mandatory requirements — checking approval conditions, restricting sensitive actions, applying access permissions, and escalating compliance risks. The model explains the policy; deterministic logic enforces it.
More from coding & agent
- Open-source Orca runs 5 Claude Code agents in parallel, hits 60k GitHub stars — alex_verem · 2026-09-16
- claude-reflect: open-source tool turns your corrections into permanent memory for Claude Code — tom_doerr · 2026-09-16
- Free Complete Guide to Obsidian Automation released, covering AI agents on a 20,000-note vault — dSebastien · 2026-09-16
- DaedalMap MCP Connector Serves Global Hurricane Tracks Dating to 1842 — modelcontextprotocol · 2026-09-16
- DoorDash MCP Server Brings Drive API Delivery Management to AI Agents — modelcontextprotocol · 2026-09-16
- Creator Runs Her Whole Business From a Phone: Agents on Every Tool, Obsidian as OS — evielync · 2026-09-16