How I Use AI Councils to Solve Ambiguous Engineering Problems

Short summary

The author describes a practical workflow using multiple AI models with explicit roles—critic, simplifier, systems thinker—to review engineering proposals and catch architectural blind spots. Rather than relying on a single model, this "AI council" approach tracks objections, synthesizes feedback via source-grounded agents, and gates decisions through human governance. The key insight: improvement comes from engineering structure, not model count.

• •Use multiple AI models with explicit roles rather than relying on a single model to catch blind spots
• •Structure the process with critique, objection tracking, synthesis, source-grounded validation, and human governance gates
• •Value comes from the engineering workflow itself—how you organize feedback matters more than how many models you add

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