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AI agents aren’t just for coding anymore. In this video, Derek Ashmore from Asperitas Consulting shows how architects can use AI agent teams to design cloud applications, explore architectural scenarios, estimate costs, plan timelines, and assess staffing needs; all from a simple requirements document. You’ll see how I use Claude-Flow (open source) to coordinate AI agents powered by Claude Code, turning architecture and planning into a fast, iterative process instead of weeks of manual effort. What you’ll see in this video: How architects use AI agent teams (not just developers) AI-assisted application design from requirements Rapid scenario modeling: cost, scope, timeline, staffing “One-page” requirements that align managers, product owners, and engineers Why AI estimates should be used as directional guidance, absolutes Live Demo: PolicyGPT I demonstrate an AI-designed application that lets security administrators view, modify, and deploy cloud security policies using natural language, with infrastructure automation handled behind the scenes, no DevOps skills required. If you’re an architect, platform engineer, DevOps leader, or CTO exploring how AI fits into real-world system design and planning, this video shows what’s possible today. ----------- Chapters: 0:00 Introduction 2:39 Specifying Application Requirements 6:03 Plan the Implementation using Claude-Flow 7:22 Review Implementation plan 11:30 First requirements edit and re-plan 15:25 Revised plan 16:42 Second requirements edit and re-plan 18:45 Second revised plan 20:37 Third requirements edit and re-plan 22:04 Third revised plan 23:17 Forth requirements edit and re-plan 24:23 Forth revised plan 26:25 Fifth requirements edit and re-plan 28:24 Fifth revised plan 29:05 Sixth requirements edit and re-plan 29:50 Sixth revised plan 32:29 Summary Thoughts ----------- Resources: PolicyGPT Repository: [https://github.com/Derek-Ashmore/Poli...] Claude-Flow: [https://github.com/ruvnet/claude-flow] Mastering the Shift: [https://www.amazon.com/dp/B0FRPPSMJW]