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✨ Every failure should leave a safeguard. Introducing AFTERMATH an AI assisted incident intelligence and persistent memory system built for the Total Recall Hackathon. Because solving a problem is important. Making sure its lessons aren't forgotten is even more important.

Every failure should leave a safeguard. Explore Aftermath: 🎥 Demo: See the thread's opening video 🌐 Live app: aftermath-7tij.vercel.app/ 📝 Article: medium.com/@jonathanebi05/af… Built for #TotalRecall with @WalrusProtocol × @tatum_io . #Walrus #Tatum

We also built an Evaluation Lab to test the safeguards. In controlled scenarios: - 4/4 unsupported completion claims caught. - Repeat prevention held across 2/2 scenarios. The objective is to make systems more accountable by ensuring that previous failures inform future decisions

This is running on Mainnet. Verified production results: - 155 completed Walrus Memory Mainnet writes - 154 recall-verified - 310 memories in the namespace - 0 simulated writes Tatum's Sui Mainnet integration was also independently verified against public Sui Mainnet.

Memory makes the difference. With Walrus Memory, Aftermath can preserve investigation findings beyond a single session and recall them when similar situations arise. The result: experience becomes reusable information instead of disappearing with the investigation.

AI investigates. Tatum verifies. Aftermath integrates Tatum's Sui Mainnet gRPC to retrieve and verify relevant blockchain transaction evidence. Its verification engine distinguishes VERIFIED_SUCCESS, VERIFIED_FAILURE, and UNKNOWN. Missing evidence is never presented as failure

Aftermath changes that. It transforms incidents into structured records, investigates available evidence, distinguishes verified facts from unknowns, and preserves important findings. The goal isn't just to document failures. It's to make their lessons useful in future decisions

The problem? Systems fail. Investigations happen. Valuable lessons are discovered. But once the incident is resolved, that knowledge often disappears. Teams repeat mistakes because previous evidence, decisions, and safeguards aren't preserved in a reusable way.

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