𝗜 𝗕𝘂𝗶𝗹𝘁 𝗔𝗻 𝗔𝗜 𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘆 𝗕𝗼𝗮𝗿𝗱

Most people use AI by asking one model a question and taking the answer. This is a mistake. One model provides a single perspective. It often sounds confident, but confidence is not truth.

I stopped asking one model for important decisions. Instead, I built an advisory board. I use three different models in three different roles. They work in parallel. I make the final decision.

Here is how my system works:

I use Claude Code to manage the process. I send a brief to three different workers:

  • The Business Analyst (Gemini): Focuses on market demand and positioning.
  • The Architect (Opus): Focuses on structure and failure modes.
  • The Builder (Codex): Focuses on implementation and actual costs.

The models do not see each other. This prevents them from following one single idea. I want independent views. I then look at a synthesis that shows their reasoning side by side.

The real value is in the disagreement.

If all three models agree, the information is low. The real signal happens when they fight. The architect might find a technical flaw. The analyst might find no market need. The builder might find the project is too expensive.

I once tested an energy-arbitrage bot idea. I thought it would work. My advisory board tore it apart:

  • The analyst found no real demand.
  • The architect found the profit margins would disappear.
  • The builder showed the maintenance would take too much time.

I did not waste six months building a failed project. I shelved it immediately.

Rules for using an AI board:

  • Watch the disagreement. Do not just look for a consensus.
  • Keep your brief neutral. If you lead the models, they will lie to please you.
  • Use this for decisions, not simple tasks. It is slow and costs more.
  • Do not skip the synthesis. The friction between models is the product.

The board advises. It does not decide. I remain the decider. An AI ensemble helps you see more sides of a problem. It should not replace your judgment.

Stop trusting one confident voice. Make models argue. Read where they break apart. Then you decide.

Source: https://dev.to/martinhavel/i-gave-myself-an-ai-advisory-board-three-models-argue-i-decide-538f

Optional learning community: https://t.me/GyaanSetuAi