Research — The ToastDeck Principle

Recognition is not enough.

ToastDeck is a performance-systems company. We study the gap between recognition and action — in humans, and in AI systems — and we build systems around it.

The Human Side

Recognition → Recall → Execution.

In high-stakes environments, people fail not because they lack knowledge, but because they cannot retrieve and apply it under pressure. The gap between “I know this” and “I can do this” under pressure is exactly where training quality lives.

ToastDeck trains all three layers and measures all three under pressure.


The AI Side

Recognition Selection.

AI systems identify, represent, and rank — and decide whether a business will be included in AI-generated recommendations. A business can be recognized, pulling strong signals — and still be excluded when a user asks for a recommendation.

The ToastDeck Doctrine

These sound like different problems. They are not. They are the same gap in different environments. ToastDeck studies that gap and builds systems around it.

Research in Progress

What we are studying.

23
Companies studied
8
Industries
SOMAR
Field measurement
2
Active pilots
AI Recognition + AI Selection
  • RECRecognition — Can AI identify what is visible? 89%
  • ACCAccuracy — Is the business represented correctly? 70%
  • AUTHAuthority — Is the source credible enough to influence? 54%
  • SELSelection — Is the business actually recommended? 9%
Primary Research Document

The B2Ai Thesis.

Business-to-AI Intelligence. The upstream business layer between humans and AI systems. Visibility to AI is not the same as being selected by AI.

B2Ai v2.6.1 · Hardened · June 2026

Recognition Selection

Why businesses that are visible to AI systems are still excluded from AI-generated recommendations — and the framework for diagnosing and correcting the gap.

Author: Ernest D. Johnson · ToastDeck Research · Working Paper v2.6.1

How a pilot works.
  • 01Define your AI selection baseline — where do you currently land in AI-generated results?
  • 02Run the SOMAR diagnostic — Recognition, Accuracy, Authority, Selection.
  • 03Identify the failure mode — which of the six failure patterns is suppressing selection?
  • 04Apply the eight-layer framework — structured remediation by layer.
  • 05Measure delta — re-test at 30, 60, and 90 days.
Partners & Operators

Request a pilot briefing or try the method.

Chamber and economic-development groups start with a briefing. Individuals and teams start with the drill.