Intangible Intent. Now Turned Tangible, and Renewable.

Using 10,000 AI user-agents, we simulated the ecosystem to understand the performance and resilience of intent-driven interactions, compared to current social media engagement.
Hypothesis
People have goals, ideas and feedback they want to transform into real-world motion using digital platforms. We make this infinitely possible by routing intangible intent through Purpose.
SMI Study — Stock Market of Intent

Modeling Motion

A Protocol with Intent as System Logic
Modeling Flow Diagram illustrating the Purpose ecosystem’s transformation of user intent into actionable outcomes using AI Modeling
Modeling Flow Diagram illustrating the Purpose ecosystem’s transformation of user intent into actionable outcomes using AI Modeling

  • Hypothesis

    Intent is tangible when it flows through the Purpose node from our channels (arcs of intent), and transforms into repeatable action paths to insights or outcomes.

  • Conditions

    The simulation models user journey actions, like token transactions and feedback loops, capturing the full spectrum of intent-driven interactions, Privately and Purposely.

  • Conclusion

    When intent flows, value flows. If value flows, money flows, and when money flows with purpose, the ecosystem thrives, creating infinite permutations as more users join.
Intent Modeling Report
A results of the Purpose ecosystem simulation, showcasing how user with intent-driven users perform better than users with engagement based behaviors transformed are through actionable insights.

  • Blue Curve

    Intent-driven users under Purpose's models achieve significantly higher success rates, clustering between 75% and 90%.

  • Orange Curve

    Engagement-based users under Attention Economy models show a much lower rate of success, primarily between 40% and 50%.

  • Observation

    Intent models drive high successful outcomes, confirming that purpose-driven interactions outperform passive ones.
A results of the Purpose ecosystem simulation, showcasing how user with intent-driven users perform better than users with engagement based behaviors transformed are through actionable insights.
Arcs of Intent
Purpose
Arcs
R&D
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