~/talk

Trusting Agents With Capital: The Gearbox Playbook

Talkat ETHConf 2026 · 2026-06-08..06-10· [ai-assisted-development, security]
slides:none on file

Claims a production-ready playbook: zero incidents, zero bad debt over 5 years, two years of pilots starting on EigenLayer, and a live demo that has an agent analyze ~100 docs in 5 minutes to recommend deploying $10k USDC while flagging an RLP token incident. Built tools: a proprietary indexer, graph memory with per-source credibility scores, an MCP server that generates human-readable verification links deployable to IPFS, and an on-chain bot APY harness capping per-transaction risk; structured product splits 90% passive yield / 10% agent-managed with on-chain stop-loss.

AI-written summary · about

  1. 0:00Introduction
  2. 0:11Starting With the Number Zero
  3. 0:41Zero Incidents, Zero Bad Debt
  4. 1:07Two Years of Piloting Agent Experiments
  5. 1:45The Numbers We Are Facing
  6. 2:17The Gap Between Experimentation and Production
  7. 2:50The Vision for How DeFi Should Be Done
  8. 3:32DeFi 3.0: Ethereum as a Settlement Layer
  9. 4:09Why Peer-to-Peer Is Easier to Verify
  10. 4:45Why Autonomous Due Diligence Matters
  11. 5:16From Risk Curators to Curatorless Agents
  12. 5:48Why Autonomy Beats Manual Research
  13. 6:14The Gearbox Loop of Six Stages
  14. 6:39Why Shortlisting Is Needed
  15. 7:08Why Execution Must Be Safe
  16. 7:36How the Agent Collects and Analyzes Data
  17. 8:14Flagging an Insecure Pool
  18. 8:41Introducing the MCP Server
  19. 9:08Why You Never Sign What You Don't Understand
  20. 9:35The Human-in-the-Loop Verification Link
  21. 10:03Toward Autonomous Capital Management
  22. 10:47How Bot APY and Risk Budgets Work
  23. 11:12Why Capped Losses Are Easy to Hedge
  24. 11:38Protecting Against Leaked Agent Keys
  25. 12:07The Problem of Agent Memory
  26. 12:34Credibility Scores to Resist Manipulation
  27. 13:04Plugging In Institutional Due Diligence
  28. 13:37From Beating ML to Following a Manifest
  29. 14:05Why Different Goals Achieve Different Outcomes
  30. 14:48Mapping Interconnections Between Complex Assets
  31. 15:14Emergency Exits During Contagion
  32. 15:53Building a Structured Product on Gearbox
  33. 16:23Splitting Capital Into Passive and Active
  34. 16:51How the Agent Borrows and Competes
  35. 17:38The On-Chain Stop-Loss Harness
  36. 18:19Learning Like Robots Playing Go
  37. 18:43Closing
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