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AI advisory board uses parallel models for decision-making

An individual has developed a method for using multiple AI models to inform important decisions, rather than relying on a single model's output. This approach involves assigning distinct roles to different AI models, such as a business analyst (Gemini), an architect (Opus), and a builder (Codex), and running them in parallel without access to each other's results. The author acts as the final decision-maker, synthesizing the varied perspectives and identifying disagreements to gain a more comprehensive understanding of a project's viability and potential pitfalls. AI

IMPACT This approach offers a method for individuals to leverage AI for more robust decision-making by synthesizing multiple AI perspectives.

RANK_REASON The item describes a personal workflow and opinion on using AI models, rather than a new release or significant industry event.

Read on dev.to — LLM tag →

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AI advisory board uses parallel models for decision-making

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  1. dev.to — LLM tag TIER_1 English(EN) · Martin Havel ·

    I gave myself an AI advisory board — three models argue, I decide

    <p>Most "use AI for your work" advice stops at <em>ask one model, take the answer</em>. That's a single perspective delivered in a confident voice — and confidence is exactly what you shouldn't trust on a decision that matters. So I stopped asking one model anything important. I …