Recognition is not enough.
ToastDeck Research studies the gap between recognition and action — in human performance under pressure, in AI-mediated commercial selection, and in AI-mediated conversation — and publishes the doctrine, standards, and training built on that research.
Three gates. One principle. Pick where you enter.
Train performance
Move learners from recognition, to recall, to execution under pressure.
Study AI selection
SOMAR research. Whether AI systems recognize, represent, and select businesses effectively.
Study AI conduct
The Interaction-Calibration Trilogy. Why disclosure alone can't govern how a conversational AI behaves.
Build standards
Frameworks for readiness, representation, and performance under constraint.
Recognition → Recall → Execution.
People fail not because they lack knowledge — but because they cannot retrieve it when it matters. ToastDeck trains Recognition. Recall. Execution.
A business can be fully visible online and still be excluded when AI is asked for a recommendation. Visibility is not selection. B2Ai studies and measures the gap.
A conversational AI system can disclose that it is AI, stay within policy, and still create a damaging interaction. Interaction-Calibration Governance studies and audits that gap.
AI representation decision research.
Current study: 23 companies · 8 industries · ChatGPT, Gemini, Claude, Perplexity.
Illustrative. Daily Notebook. Sample: 23-company cohort v1.1a — the B2Ai recognition-to-selection ladder, not the SOMAR protocol itself.
These sound like different problems. They are not. They are the same gap in different environments.
— The ToastDeck Doctrine
Request a pilot briefing or try the method.
Two entry points. Chamber and economic-development groups start with a briefing. Individuals and teams start with a drill.