Private Tokens
Proprietary organizational data and institutional knowledge that cannot be replicated by competitors or accessed by generic AI systems. Private tokens encompass four key categories: conversational data (such as sales calls and support interactions), internal documentation (including strategy documents and playbooks), digital communications (like email threads and Slack messages), and tribal wisdom (encompassing unwritten rules and cultural knowledge). For marketing leaders, private tokens represent the "secret sauce" that transforms commodity AI into competitive advantage—your customer insights, brand voice patterns, successful campaign data, and market positioning strategies. When integrated into custom AI systems, private tokens enable marketing automation that understands your business context, delivering personalized customer experiences and strategic insights unavailable to organizations relying solely on public AI training data.
Referenced in these posts:
Documentation as a Strategic Asset
Documentation turns tacit knowledge into a strategic asset that scales communication, preserves institutional memory, and becomes the training data powering custom AI solutions. By making it context-fit, concise, visual, skimmable, current, and discoverable—and extending its depth for AI-native use—organizations convert unique insights into lasting competitive advantages.
Don’t Let SaaS Train on Your Private Tokens
Don't let SaaS solutions train on your unique competitive advantage and protect your company's unique IP by building your own custom AI.
Related terms:
Accretive Software
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.
Gravity Wells
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.
Fuzzy Interface
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.