Most AI assistants are agreeable sycophants that tell you every business idea is brilliant. Here is how to build an adversarial AI Roast Room to stress-test your strategy before building.
In this video, we explore how to turn Claude Code and AI subagents into an adversarial council. By modeling ruthlessly honest advisors like Jeff Bezos, Warren Buffett, and Alex Hormozi, you can stress-test unit economics, moats, and operational bottlenecks before investing time and capital.
WHAT YOU WILL LEARN:
• The hidden cost of AI confirmation bias and polite chatbots
• How to architect an adversarial Roast Room using the Council framework
• The 4 core advisor archetypes: Scaler, Monetizer, Moat Builder, Operator
• How multi-agent cross-examination reveals fatal blind spots
• How to interpret the scored feasibility report
• Why outsourcing stress-testing sharpens executive human judgment
TIMESTAMPS:
00:00 – Introduction: Why Polite AI Is Dangerous
01:35 – The Problem with Single-Prompt Feedback
03:10 – What Is an AI Roast Room?
05:00 – The 4 Subagent Personas and Their Mental Models
07:45 – The Multi-Agent Clash: Watching Agents Debate
10:20 – Breaking Down the Feasibility Verdict & Fatal Flaws
12:45 – How to Implement This in Claude Code
14:30 – Final Takeaway: Outsource Stress-Testing, Own the Decision
RESOURCES & LINKS:
• Practical AI Community: https://skool.com
• Connect on LinkedIn: https://www.linkedin.com/in/devengoratela/
• Follow on Twitter/X: https://x.com/devengoratela
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#aiagents #claudecode #promptengineering #artificialintelligence #businessstrategy
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