Editor's Synopsis
Neil Perkin argues that AI's greatest value isn't just efficiency — it's serving as a thought partner that challenges assumptions, surfaces blind spots, and opens new lines of exploration. He warns against cognitive debt, the tendency to grow intellectually lazy by outsourcing thinking to AI, and advocates for systematizing approaches that combine AI with human cognition to generate genuinely new possibilities.
The post outlines several concrete techniques for using AI this way. Perspective triangulation involves curating a syllabus of source material and asking the model to contrast clashing viewpoints on a topic, forcing it to reason across tensions rather than averaging them. The Board of Brains method, borrowed from Anthropic's Lani Assaf, involves creating persistent AI projects that embody specific advisors or experts, each reviewing your work through their unique lens. Role-play debate simulates live multi-perspective discussions that reveal hidden assumptions.
Perkin also shares several prompting techniques: norm switching (applying norms from unrelated sectors), constraint reversal (imposing absurd constraints to force lateral thinking), counterfactual storyboards (narratives where key assumptions are inverted), forced analogy engines (mapping random domains to your challenge), negative inversion (listing spectacular failure modes then inverting them), and ladder up/ladder down (toggling between strategic 'why' and executional 'how' to expose gaps between intent and action). The overarching message is that intellectual curiosity becomes even more important in the AI era — using AI like a search engine means missing its potential to take your thinking to places you couldn't reach alone.
