Running Restaurants with AI Agents: The 3 Universal Failure Modes
EdwardCHWang · reddit · 2026-08-05
A developer tested multiple AI agents (GPT-5.6, Opus 5, minimax-M3) in a simulated restaurant game via REST API.
- Key Errors: Out of 2,620 rejected calls, 86% fell into three categories: guessing non-existent endpoints (48%), exhausting daily action budgets (20%), and acting on dead IDs (17%).
- Fixes & Feedback: The developer added missing endpoints and exposed remaining budgets in error messages. Budget exhaustion dropped (20% → 7%), but endpoint hallucinations worsened (48% → 61%).
- Universal Modes: Despite using different models and harnesses (like Claude Code), these failure patterns remained remarkably consistent. The developer asks the community for solutions on handling invalidated references in long-lived agents.
More from coding & agent
- Dual SAM3 + Seam Mask: A 4K Panoramic 3DGS Reconstruction Workflow — janusch_patas · 2026-08-05
- Claude Code Creator Maps Out 5 Steps of AI Adoption — therealdanvega · 2026-08-05
- In-Context Distillation: Guiding Smaller Models via Orchestrator-Implementer-Advisor Pattern — daniel_mac8 · 2026-08-05
- Using Hermes Desktop with ComfyUI: Letting AI Agents Auto-Fix Workflow Errors — Birdinhandandbush · 2026-08-05
- Belgie: Build React MCP Apps Entirely Within Python — TheRealMrMatt · 2026-08-05
- Grok Build in Action: Turning Terminal Agents into Autonomous PC Assistants — XFreeze · 2026-08-05