Video by Open Data Science and AI Conference via YouTube
What if a two-person team could operate like a much larger engineering organization using AI agents?
In this episode of the ODSC Ai X Podcast, Shaw Walters, creator of ElizaOS, explains how he and his CTO coordinate a fleet of agents to build software and run parts of their business.
Shaw shares how they use GitHub issues, pull requests, isolated worktrees, planning, testing, and reviews to keep agents aligned — and why he sees today’s agent workflows as a temporary step toward a future where we may barely need to touch a computer.
The conversation also covers agent reliability, privacy, permissions, cost, ElizaOS as an AI operating system, and the role of agents in robotics and physical AI.
00:00 AI Agents, Productivity, and the Future of Work
01:09 How a Two-Person Team Uses AI Agents at Scale
02:21 Shaw Walters’ Journey Into AI and ElizaOS
05:00 Building a Private, Open-Source AI Operating System
06:20 What Is an Agentic Operating System?
09:05 The Future of Human-Computer Interaction
11:24 AI Agents, Permissions, Privacy, and Control
17:28 Managing 20+ AI Agents at Once
19:23 How to Plan Tasks for AI Agents
20:17 GitHub as a Swarm Coordination Platform
20:51 Testing, Evals, and Agent Reliability
21:48 The Economics of Running AI Agents at Scale
25:21 How a Two-Person Team Replaced a Much Larger Workflow
27:02 Choosing the Best AI Models for Coding Agents
33:31 How AI Agents Can Operate Your Computer
38:05 Long-Running Agent Workflows and Orchestration
42:56 Using Git Worktrees to Coordinate Multiple AI Agents
44:15 Managing Hundreds of AI-Generated Pull Requests
47:25 AI Agents, Robotics, and Physical AI
50:02 Social Awareness and Safety for Robots
54:07 Lessons From ElizaOS, Open Source, and Crypto
59:55 Life After the Laptop: Where AI Agents Are Heading
01:01:04 AI Agents, Personal Assistants, and Human Freedom
01:04:01 Final Thoughts
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