You ask an AI a question and get a confident answer in seconds. But nothing in that process challenged the reasoning or tested the assumptions. The output sounds right, and it was never pressure-tested.
AIDIALECTIC
Structured AI debate. Pressure-tested answers.
AIDIALECTIC puts multiple AI models into structured debate.
One model takes a position. The second is required to find weaknesses in it. When a challenge holds, the first model concedes and revises. When it doesn't, the model defends with evidence. The process converges on conclusions that survived sustained adversarial pressure. The output isn't a compromise or a summary. It's a position that held up.
Free and open source.
See it in action.
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This is an excerpt from a real session. The strategy behind this website was developed through AIDIALECTIC. Here's what four rounds of structured debate looked like.
[Position]
Claude proposes a specific pricing structure for consulting engagements.
[Challenge]
Gemini identifies a gap in payment terms that could create cash flow risk.
[Concession]
Claude drops the original terms and incorporates a late-payment clause.
[Convergence]
Both models align on Net-15 with explicit late-payment provisions.
I built AIDIALECTIC to sharpen my own decision-making. The strategy for this website, including the copy you just read, was developed through it. If you want that kind of thinking applied to your business, I'd like to hear what you're working on.