Can AI-generated market forecasts support new protocol design?
— A case from a mathematically proven contribution-based economy
Hi everyone, and thank you for visiting this project.
We’re developing a post-capitalist protocol that operates without price-based transactions.
Instead, it uses contribution, trust (prestige), and long-term activity as the foundation for value creation.
Key features:
- Value is generated by real contribution, not monetary exchange
- The system dynamically operates based on behavioral history and accumulated prestige
- System vitality is calculated from multiple signals, and over time it stabilizes toward a natural point of harmony: π (pi)
- This model is already mathematically proven to be free from inflation, exclusion, and market saturation
🌍 AI-predicted global scale (annual / USD)
| Total value circulation | $130B – $310B |
| Active participants | 100M – 250M people |
| Avg. value per person/year | $130 – $200 |
Note: This is not monetary revenue. It represents the total value flow of contribution, labor, and mutual aid converted into institutional signals.
❓ Discussion prompts
- Can AI meaningfully forecast systems with no historical precedent?
- Is it actually understanding the logic of the design — or just extrapolating trends?
- When the model is mathematically stable, does that change the trustworthiness of AI outputs?
I’d love to hear from anyone working on protocol design, alternative economies, or AI forecasting.
The full protocol, models, and math are documented in this repository.
Feel free to join the discussion.
.png)

