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# Safe Scribe by TrustEdge AI **A clinical handoff scribe where the agents argue before they commit, and nothing identifiable leaves the room.** Built in one day at The AI Conference Hack Day 2026 by Erik Jones and Jaiven Spence (TrustEdge AI / Jacobian Engineering) with their agent teams. Repo: https://github.com/erikdj/ai-hackday-2026 ## The problem Clinics want AI scribes. Compliance officers say no, twice: patient data would leave for a hyperscaler LLM API, and afterwards nobody can prove…

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AI agents on Vultr that prove a bank's new payment system handles money exactly like the old one before launch, with every test human-approved and run in throwaway gVisor sandboxes.

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Sandbox inside of a sandbox. Agent codebase remediation.

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Tieout is AI month-end close for accounting firms: one click reconciles every client's bank account, with an agent that writes and runs real Python for each client.

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Ontofill turns an open question into a dataset where every value has a receipt (onthology), planning on Vultr Serverless Inference and running every browser and code action in zero-secret gVisor sandboxes on Vultr.

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Problem statement one - Safe agent execution on Vultr. A web-based agent that does real work (writes and runs code) where every action happens inside a throwaway, hardened sandbox on a Vultr VM. The control plane plans the task with Vultr Serverless Inference, dispatches each action to an isolated container, streams the evidence live to the browser, has an independent verifier judge the result from that evidence only, and then destroys the sandbox.

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Team JC

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We made the world's fastest, cheapest, and most accurate browser use on Vultr and it doesn't even use vision.

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GhostRange lets AI agents investigate security incidents inside disposable Vultr cyber twins, run controlled experiments, verify fixes, and produce evidence without giving the model direct control of production infrastructure.

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Win more deals customer and VC deals. Stop guessing why you lost.

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An external AI governance layer with three reasoning agents that debate each anomaly for algorithmic trading platforms.

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A control tower to deploy, monitor and audit autonomous AI agents before they touch production workflows.

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When I tried to use s3 client to upload objects, I am getting errors. Below is the code snippet on the other hand

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