LLM Fallbacks Break Agent Pipelines — I Built the Missing Recovery Layer

# When AI Systems Hit Their Limits, They Can Break in Hidden Ways When companies use AI agents to automate tasks, they often set up backup AI models to take over if the primary one gets overwhelmed—but these backups can actually corrupt the work being done if they receive instructions designed for a different model. A developer created a safety layer that detects when problems occur, translates instructions so any backup model can understand them, and makes sure the work picks up exactly where it left off without losing information. This matters because it means AI systems can now fail gracefully instead of quietly producing bad results that might not be caught right away.