Ripcord: Real-Time Self-Repair for Voice Agents

Ripcord is a real-time self-repair and reliability layer designed for voice agents. Voice systems can sound confident even when they have misunderstood a critical detail such as an order number, date, quantity, address, or account identifier. If the workflow continues without verification, a small transcription error can become a real-world failure. Ripcord focuses on catching these silent failures before an action is executed. It evaluates critical entities using signals such as transcription confidence, expected formats, validation rules, and reliability risk. When the captured information appears uncertain or inconsistent, Ripcord pauses the workflow and generates a targeted clarification instead of allowing the agent to continue blindly. For example, if an order ID is expected to contain four digits but the system captures “150” with low confidence, Ripcord flags the format mismatch, raises the risk level, pauses the workflow, and asks the user to confirm or correct the value. The interface includes live and simulated scenarios, entity detection, risk scoring, clarification handling, session history, and an event timeline that explains why an interruption occurred. AssemblyAI provides the speech intelligence used in the voice pipeline, while Ripcord adds the reliability layer between speech understanding and downstream actions. The goal is simple: help voice agents detect, pause, clarify, repair, and then resume safely.