FlowGuard

> FlowGuard AI is a self-healing layer for business automations. Companies chain apps together (Stripe → CRM → Slack), and these chains break silently when an API renames a field, data arrives incomplete, or a service throttles requests, so customers fall through the cracks until an engineer debugs the logs. > > FlowGuard watches every run. When one fails, Meta's Muse Spark diagnoses the root cause from the workflow definition and the run record, then proposes a patch limited to three safe operations (rename a field, add a fallback value, add a retry). Each patch is proven by replaying the exact failed input in a sandbox, and sandbox failures are fed back to the model for another attempt. Identical failures are grouped into one incident. After a human approves, the fix becomes a new audited workflow version and every affected run is replayed, so no customer is lost. Problems a workflow edit can't fix, like a revoked token, are escalated to a human instead. > > In a 15-case evaluation, FlowGuard healed 12/12 fixable failures, correctly escalated 3/3 unfixable ones, and averaged about $0.01 and 8 seconds per incident.