Science demo
State what would prove you wrong
Make the conditions for being wrong explicit before the data arrives.
The challenge
Without criteria fixed in advance, any result can be read as support.
The scenario
Before running an expensive study, the team fixes what would count as disconfirmation.
What goes in
- Claim
- The hypothesis under test.
What you can ask
Illustrative prompts. Results depend on your own data and are not deterministic.
- “What result would falsify this claim?”
- “Is this hypothesis testable as written?”
- “Fix these criteria before we run it.”
How Clearception approaches it
How the work is structured. Each step shows what its output is grounded in.
Test testability
AI-inferredDetermine whether the claim can fail at all.
Fix the criteria
SourceRecord disconfirming conditions before data collection.
What you get
The shape of what comes back — not a promised result.
Recorded criteria
SourceDisconfirming conditions fixed and dated before the study.
Why it matters
- No retrofitted conclusions
- The bar is set before the data arrives.
Related demos
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Turn observations into a testable hypothesis
Move from observation to a claim that could actually be wrong, with falsification stated.
4 minute walkthrough
- Hypothesis Design
- Fact / Inference Separation
- Evidence Trail
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Design an experiment that could produce a negative
Plan a test capable of returning the result that would change your mind.
4 minute walkthrough
- Hypothesis Design
- Evidence Trail
- Confidence Ceilings
Robotics
Plan a task, bounded by the safety plane
Turn a described goal into a task plan that the deterministic safety plane must accept before it runs.
4 minute walkthrough
- Deterministic Safety Plane
- Deterministic Policy Engine
- Evidence Trail
Want to try this with your own work?
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