FailSafe

Every team is racing to deploy AI agents, but almost no one is building the layer that makes those agents trustworthy in production: quality control. FailSafe is that missing layer a QA reviewer and an HR function for any multi-agent system. It runs on Band as the coordination layer. The agents live together in a Band room where work is handed off, context is shared, and roles are specialized. QualityGate and HumanBridge join that room as agents themselves triggered by @mentions, posting their verdicts and decisions back for the whole team to see. Band is the fabric; FailSafe is the governance that makes the collaboration reliable. QualityGate is a framework-agnostic Model Context Protocol (MCP) server that scores any agent's output against explicit acceptance criteria and returns a structured verdict: APPROVED when the work is good, REVISE with specific fix instructions when an AI can still salvage it, or ESCALATE when the task genuinely needs a human. HumanBridge handles the ESCALATE case. It scopes the task and picks the right human marketplace by skill, complexity and budget from a $0.05 Mechanical Turk micro-task to a $50+ Upwork specialist posts the job, tracks it, and retrieves the deliverable. The human's work is then sent back through QualityGate in the same Band room, so the loop closes and quality is verified end to end. The result is reusable infrastructure that turns any Band workflow into a production-ready one: every output is checked, and when AI hits its limits the system automatically brings a qualified human into the loop. Configurable thresholds, spend ceilings, and pluggable marketplace adapters keep it safe and adaptable. FailSafe is the safety net every agent needs.