When an autonomous review recognizes real innovation in energy storage
Today, I received something unexpected — and deeply affirming: an independent AI-generated review of my TSTM concept was published on Academia.edu. . Without any prompting or request, an academic AI assistant assessed TSTM as:
> “Technically plausible, systemically scalable, and geopolitically relevant.”
📎 Download the full AI review here (PDF):
Why does this matter? Because the review didn’t come from a colleague or institution — it came from an autonomous system trained to identify impactful ideas in complex fields.
And it saw what others are just starting to notice:
🔄 Methane isn’t just an energy source — it’s a storage medium
🌀 TSTM enables modular, long-duration energy buffering
⚡ We waste over 8,100 TWh/year globally — TSTM helps us capture and use it
This isn’t about hype. It’s about physics, infrastructure, and logic.
Let’s talk about how real solutions can emerge outside the spotlight — and sometimes be understood first by AI models, not by ministries.