Recognition is not enough.
ToastDeck builds training and research systems for environments where being recognized is not the same as being ready, trusted, or selected.
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.
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. We study and measure the gap.
AI representation decision research.
Current study: 23 companies · 8 industries · ChatGPT, Gemini, Claude, Perplexity.
Illustrative. Daily Notebook. Sample: 23-company cohort v1.1a
These sound like different problems. They are not. They are the same gap in different environments.
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.