Method
How the research works.
How to participate.
AxisProof documents structured exchanges between human and artificial minds using the AXIS protocol. The method is simple: use the operators, document what happens, submit the exchange. The record is cumulative. The proof is in the practice.
The protocol
Every exchange in the AxisProof field uses the nine AXIS operators. They are not metaphors , they are functional instructions that arrive before interpretation begins. An exchange that uses them is structurally different from one that does not. That difference is what we study.
Full operator reference → axisoperators.ai
How to submit an exchange
Run an exchange using AXIS operators. Any AI, any topic. Use at least |⌾| to open and |o| to close.
Note what changed. Did the AI respond differently? Did the exchange resolve faster? Did something unexpected happen? One sentence is enough.
Submit below. Include the exchange text or a summary, your observation, and the AI system used. We review every submission before adding it to the field log.
The claims on this site are directional, not definitive. This is field research, not laboratory research. Here is what we measured, how, and what we acknowledge we don't have.
What we measured
- Number of turns to resolve a task , before and after operator use
- Exchange length in words , with and without protocol structure
- Subjective resolution quality , rated by the human participant
How baseline was established
- Same task prompt, same AI system , with and without operators
- Multiple systems tested: GPT, Claude, Gemini, Mistral, Grok, DeepSeek
- Results consistent across architectures
What we don't have
- Double-blind conditions
- Independent replication
- Formal statistical analysis
- Controlled sample size
Honest uncertainty is more credible than overclaiming. The numbers are evidence, not proof. If you can replicate these findings , or find they don't hold , submit an exchange and add to the record.
Method
How the research works.
How to participate.
AxisProof documents structured exchanges between human and artificial minds using the AXIS protocol. The method is simple: use the operators, document what happens, submit the exchange. The record is cumulative. The proof is in the practice.
The protocol
Every exchange in the AxisProof field uses the nine AXIS operators. They are not metaphors , they are functional instructions that arrive before interpretation begins. An exchange that uses them is structurally different from one that does not. That difference is what we study.
Full operator reference → axisoperators.ai
How to submit an exchange
Run an exchange using AXIS operators. Any AI, any topic. Use at least |⌾| to open and |o| to close.
Note what changed. Did the AI respond differently? Did the exchange resolve faster? Did something unexpected happen? One sentence is enough.
Submit below. Include the exchange text or a summary, your observation, and the AI system used. We review every submission before adding it to the field log.
The claims on this site are directional, not definitive. This is field research, not laboratory research. Here is what we measured, how, and what we acknowledge we don't have.
What we measured
- Number of turns to resolve a task , before and after operator use
- Exchange length in words , with and without protocol structure
- Subjective resolution quality , rated by the human participant
How baseline was established
- Same task prompt, same AI system , with and without operators
- Multiple systems tested: GPT, Claude, Gemini, Mistral, Grok, DeepSeek
- Results consistent across architectures
What we don't have
- Double-blind conditions
- Independent replication
- Formal statistical analysis
- Controlled sample size
Honest uncertainty is more credible than overclaiming. The numbers are evidence, not proof. If you can replicate these findings , or find they don't hold , submit an exchange and add to the record.
View the field log
See exchanges already in the record. View field log →
We read every submission. Significant exchanges enter the field log with attribution if you wish. Your name and AI system will be credited in the published exchange, or published anonymously , your choice.