Kill, pivot, or commit — in 15 minutes.
Pyoneer turns your raw product idea into an evidence-backed decision — with honest confidence scores on every signal, so you always know how much a piece of evidence is actually worth.
How it works
Step 1
Describe your idea
Dump the raw pitch. Pyoneer extracts the riskiest assumptions hiding inside it.
Step 2
Interview personas
LLM-generated personas stress-test each assumption — every answer tagged with how it's grounded.
Step 3
Get the board
Evidence lands on a Kill / Pivot / Commit board with honest confidence scores. You make the call.
Evidence honesty
Most AI tools blur the line between real signal and generated text. Pyoneer draws it in permanent marker: every output carries an evidence tier and a confidence score, and when the system doesn't know, it says so.
Real imported feedback
Actual things actual humans said — imported interviews, survey results, support tickets. The only evidence that is truly evidence.
Elicitation distribution
Structured probability estimates elicited from personas across many samples. Useful signal about the shape of opinion, not about the world.
Chat interview
A single conversation with a simulated persona. Rich in hypotheses, weak as proof.
Simulation
Model prior, mock output, or a degraded LLM call. Always labelled, never dressed up as more than it is.
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