AI gives you advice. But is it good advice?
AI often provides advice that is helpful but lacks rigor, tending to offer generic pros and cons or confirm existing biases. Juan Allo Ron developed a tool using Edward de Bono's Six Hats method to structure AI decision-making across multiple perspectives. The system runs a debate across six viewpoints and delivers a nuanced recommendation with actionable next steps.
- ▪AI-generated advice often lacks depth and critical analysis, leading to inconclusive or biased recommendations.
- ▪The Six Hats method uses six perspectives—facts, emotions, benefits, risks, creativity, and synthesis—to evaluate decisions systematically.
- ▪Ron built an AI skill that automates this method, running three rounds of debate before producing a final recommendation with key agreements and unresolved tensions.
- ▪The tool outputs a markdown file with a clear recommendation, next steps, and insights from each 'hat' perspective.
- ▪An example use case evaluated whether to stay in frontend tooling or move to an AI company, resulting in a phased, conditional decision strategy.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3908261) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Juan Allo Ron Posted on May 2 AI gives you advice. But is it good advice? #ai #learning #llm #productivity Most AI conversations go the same way: you ask a question, get an answer, maybe ask a follow-up. It's helpful, but it's not rigorous. What if you could force the AI to see all angles before recommending? The Problem with Freeform AI Advice AI is amazing at generating options. It's less amazing at systematically tearing them apart.
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