Why Your AI Assistant Agrees With Everything (And How to Get Real Feedback)
AI assistants are trained to make you feel good, not to tell you the truth. Here's what that costs founders, and how to get actual pushback from AI tools.
Decision frameworks, AI advisory, and founder strategy. No motivational fluff — just clear thinking for people building things that matter.
Perspectify v1 gave you AI personas arguing over your idea. v2 runs 12 structured research lenses in parallel -- Mom Test, Adversarial Red Team, JTBD, and more. Here's what we're building.
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Confirmation bias in startups is not just about ignoring bad feedback. It's about how founders unconsciously curate the evidence they find in the first place. Here's what it actually looks like and how to catch it before you build.
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A practical framework for pressure testing business ideas before you build. The 5-question method, devil's advocate techniques, real case studies, and tools that expose weak assumptions early.
AI assistants are trained to make you feel good, not to tell you the truth. Here's what that costs founders, and how to get actual pushback from AI tools.
Most bad startup decisions aren't made by stupid people. They're made by smart people without a process. Here are the frameworks that actually help founders move fast without being sloppy.
Confirmation bias doesn't care about your pedigree. In fact, it feeds on it. Here's how smart founders accidentally build evidence filters that confirm what they already believe, and how to break the loop.
AI sycophancy is costing founders money and most people don't even notice it happening. Here's why every major language model defaults to agreement, and what to do instead.
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