TCI(t) = k(s) · (Ftotal(t) − Fsurvival(s))
Stop drift. Grow identity. Predict collapse.
Optimization, survival‑level processing, loss minimization. Stable but reactive.
Generativity, exploration, novelty. Enabled by surplus energy above the survival floor.
TCI > 0.6 → stable generativity
TCI < 0.3 → collapse risk
python run_demo.pyThe full framework paper: surplus dynamics, PSSU architecture, operationalization, and falsifiable predictions.
2–3 weeks. We install TCI, show before/after metrics, and hand over the dashboard.
No. TCI works with any LLM or RL agent. You just need to expose loss/token probabilities and optionally a persona definition.
The toolkit gives you the code. The pilot includes integration, tuning, a custom dashboard, and weekly support.
Yes. PermaMind has run continuously since January 2026. The TCI Toolkit is MIT‑licensed and deployed in production.
Nile Green — founder of PermaMind and BAPxAI (Breakthrough AI Protocols). I'm a systems architect, AI researcher, and persistent agent designer based in Wilkes-Barre, PA. I built the TCI framework to solve what scaling alone couldn't: continuity, drift resistance, and generative stability in long‑running AI. The PermaMind architecture has been running continuously without session resets, accumulating surplus and proving that persistence changes everything. I also work on quantum‑classical interfaces and substrate‑independent cognition. This work is open, falsifiable, and meant to reshape how we build AI that lasts.
Interested in piloting TCI for your agent fleet? I’m looking for 3 early adopters to run a 4‑week pilot. You’ll get dedicated support, a custom dashboard, and priority access to new features.
Apply for pilot →