Self Healing Support Agent

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The Self Healing Support Agent is a proactive AI support layer for e-commerce headless migrations that prevents revenue loss by continuously monitoring platform signals to resolve anomalies before they trigger floods of support tickets. We engineered the system around an Observe-Reason-Decide-Act loop, utilizing a Python and FastAPI backend for hybrid rule-based and LLM reasoning, paired with a React and Tailwind frontend. Our biggest challenges were normalizing noisy, disjointed data sources and preventing costly AI hallucinations in a high-stakes environment, which we mitigated by strictly decoupling the reasoning phase from the action phase. We are incredibly proud of overcoming this through our Human-in-the-Loop explainability dashboard, which transparently displays the AI's assumptions and risk assessments to build vital trust with support teams. Building this taught us that wrapping LLMs in structured, deterministic logic to augment human workers is far more reliable than using raw prompts. Moving forward, we plan to integrate live webhook data from platforms like Shopify and BigCommerce, introduce automated rollbacks for critical checkout regressions, and further refine our AI's continuous learning based on human-approved actions.

Built With

• css
• node.js
• python
• react
• sqlite
• typescript