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OpenClaw

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Autonomous Agents at Work: From OpenClaw Hype to Enterprise Reality Jun 19, 2026 · 42:20 To move agents to production, organizations must implement rigorous governance. This includes classifying risk (reversible, sensitive, consequential), establishing a minimum control stack, and auditing across five pillars: Quality, Performance, Safety, Cost, and Business Impact.

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The Blueprint for Autonomous Work Agents | Gavriel Cohen, NanoClaw Jun 29, 2026 · 23:15 Autonomous agents require robust isolation models, running each agent in its own container and proxying all requests through a secure vault to prevent credential leaks. Robert Overweg - One Brain, No Filtering - AI Native DevCon June 2026 Jul 23, 2026 · 31:25 Discover how to build a 'One Brain' using AI agents and structured vaults. Learn about OpenClaw, semantic search, and transforming fragmented organizational knowledge into actionable insights. OpenAI’s Plan to Make ChatGPT the Everything App — Akshay Nathan, OpenAI Jul 28, 2026 · 1:10:57 OpenAI's strategy to make ChatGPT an 'Everything App' unifies agent experiences into ChatGPT Work. The focus shifts from coding ability to ideas and taste, making artifacts and persistent memory key for knowledge workers.

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From Copilot to the Garden of Eden - Adam Cogan - NDC Oslo 2026 Oct 7, 2026 · 1:02:20 Adam Cogan explores the shift from Copilot hype to agentic AI workflows. Learn how agents are reshaping the enterprise stack, improving security, and changing the developer's role from coder to prompt engineer. Every AI Company Is Accidentally Building a Bank — Dor Sasson, Stigg Oct 7, 2026 · 20:08 AI companies are accidentally building banks. Scaling AI requires moving beyond simple usage billing to complex financial infrastructure that checks entitlements synchronously before consumption. Microsoft Compared OpenClaw To A Virus. Now It's Bringing It To Your Employer As Autopilot. Oct 2, 2026 · 26:26 Microsoft is deploying Autopilot, an always-on AI agent built on OpenClaw, across core workplace apps. The value lies in accessing proprietary data and executing ongoing assignments, requiring users to master defining objectives and context.

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