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Insights, field notes and method: how AI brainstorming surfaces blind spots and pressure-tests your ideas.

Buying a US business for an E-2 visa: what 100 simulated stakeholders argued about

A 100-persona simulation of a French buyer acquiring a Tampa plumbing company for an E-2 visa: hypotheses to verify with counsel, not predictions.

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GPT-5.6 Sol vs Claude Fable 5: the pricing cliff switching test

A synthetic 100-agent run on AI assistant switching after a pricing change. Stated intentions and objection patterns, not measured market share.

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What an AI focus group can and can't tell you

What an AI focus group can and cannot tell you. Use synthetic customer research to surface objections and segments before you pay for a real study.

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Can you use PredictAible on Polymarket?

Map crowd-reaction hypotheses for prediction markets with agent simulations. Not financial advice, no price forecasts, no sports or crypto edge.

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AI business idea validation: pressure-test your idea before you build

Use synthetic skeptics to surface objections, segments and dealbreakers before real customer validation. Directional, not a demand forecast.

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Big Five traits for synthetic customer simulations

How PredictAible assigns Big Five trait vectors to synthetic personas: a behavioral overlay for varied debate, not a psychometric reading of people.

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Can AI Agents Actually Mirror Real People?

The real payoff of an agent simulation is coverage: every objection, segment, and failure mode on the table before you build.

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