Glossary

Accretive software refers to AI platforms that automatically absorb model improvements as margin expansion by treating models as interchangeable components and routing queries to the optimal model in real time. Rather than fighting obsolescence, these platforms convert every efficiency breakthrough into customer value or profit margin.

Chain-of-thought prompting, introduced by Google Research in 2022, transforms AI from an answer machine into a reasoning partner by explicitly modeling the problem-solving process step by step. By decomposing complex queries into sequential reasoning steps and making implicit thinking explicit, it fundamentally improves AI performance.

Conway’s Law states that organizations designing systems are constrained to produce designs mirroring their own communication structures. For example, separate sales, marketing, and support teams often yield a website organized into Shop, Learn, and Support sections—reflecting internal divisions rather than user needs.

Few-shot prompting leverages AI’s pattern recognition by providing a handful of examples in the prompt, enabling the model to identify patterns and generate responses that match your intended style or format. This real-time approach achieves consistent, domain-specific outputs without needing massive datasets or model fine-tuning.

A fuzzy interface is AI’s adaptive translation layer between rigid organizational systems and human intent, interpreting context and adapting to various inputs without perfect data standardization. This capability bridges legacy systems and modern tools—translating formats, enabling natural language interaction, and handling technical integration and compliance behind the scenes.

Gravity wells describe economic dynamics where scarce resources flow disproportionately to entities with the greatest ability to pay and deploy, creating self-reinforcing concentrations of power. In the AI economy, they form around critical bottlenecks in compute, power, and talent, determining who captures resources and who scrambles for scraps.

Proprietary organizational data and institutional knowledge that generic AI can’t access—encompassing conversational transcripts, internal documentation, digital communications, and unwritten tribal wisdom. When integrated into custom AI systems, these private tokens deliver unique customer insights, brand voice patterns, and strategic intelligence to power competitive marketing automation.

Private-token sovereignty is the strategic imperative for organizations to maintain control over their unique data and institutional knowledge while amplifying it through AI rather than allowing external vendors to train on or control access to proprietary insights. This concept ensures sensitive organizational intelligence remains behind the firewall to prevent competitors from accessing your strategic advantages.

Strategic software combines frontier AI models, custom code, and unique organizational expertise to tackle qualitative, strategic marketing challenges—from analyzing brand positioning and predicting market trends to optimizing customer journey orchestration. Its continuous learning loops compound organizational intelligence over time, delivering consultant-level insights at operational speed and scale.

WWGPTD began as internal Slack shorthand to remind teams that using AI isn’t cheating but the essential first step. The accompanying bracelets serve to normalize AI as a fundamental tool for creating better work.

Zero-shot prompting is the most basic form of AI interaction where questions are posed without any examples or guidance, relying entirely on the model’s pre-trained knowledge. This baseline approach immediately tests raw capabilities, revealing both its breadth and limitations.