Show HN: RestaRules – A robots.txt for how AI agents interact with restaurants

github.com · selfradiance · 1 day ago · view on HN · tool
quality 2/10 · low quality
0 net
AI Summary

RestaRules is an open standard enabling restaurants to publish machine-readable conduct rules for AI agents via a /.well-known/agent-venue-rules.json file, specifying disclosure requirements, allowed channels, party limits, and retry policies—developed in response to AI voice agents calling restaurants and emerging regulatory requirements like the EU AI Act.

Tags
ai-safety policy-enforcement web-standards disclosure-requirements bot-detection regulatory-compliance restaurant-industry machine-readable-rules
Entities
RestaRules EU AI Act robots.txt Claude Code
RestaRules is an open standard that lets restaurants publish machine-readable conduct rules for AI agents. Any agent — voice, booking, concierge — checks a /.well-known/agent-venue-rules.json file before acting. The rules cover things like: must the AI disclose it's not human? Which channels are allowed (phone, web, SMS)? What's the party size limit before a human gets involved? Are deposits required? What are the retry limits? Think of it as robots.txt, but instead of "don't crawl this page," it's "don't book a table for 12 without calling the host stand first." Why now: AI voice agents are already calling restaurants. NY and Philadelphia passed anti-bot reservation laws. The EU AI Act (August 2026) requires AI-to-human disclosure. Restaurants have zero standardized way to set boundaries. The repo includes a v0.2 JSON Schema, a validation SDK, a CLI checker, a reference agent, and a browser voice demo where you can hear an agent fetch live rules and obey them. Live demo: https://selfradiance.github.io/restarules/demo/voice/ Live rules file: https://selfradiance.github.io/restarules/.well-known/agent-... Built solo with no prior coding experience using AI coding agents (Claude Code). Happy to answer questions about the standard or the process.
← Back to stories