Kontrol Freek functions as an AI safety guardrail, sitting between autonomous agents and their potential actions. It proactively intercepts implicit assumptions made by AI agents, such as architectural choices or API designs, to prevent them from accumulating into technical debt or critical errors. By maintaining a persistent decision log, it checks new assumptions for contradictions, scores their risk, and routes approval requests to humans via multiple channels like Telegram, Slack, or native Model Context Protocol (MCP) elicitation, ensuring critical oversight without disrupting the development workflow.
