They're Still Running What I Built
Supportiv just published
an article about their mental health language model.
I know it's incredible technology.
Because I built it from scratch.
The systems they're highlighting:
- Crisis prediction (self-harm, danger, suicidal ideation)
- Real-time matching that forms "emotionally resonant micro-communities"
- Teen detection and specialized routing
- Three-layer safety filter (regex + neural classifier + human review)
- Bias audits across gender, age, religion, socioeconomic factors
- MinHash near-duplicate detection
- Topic oversampling to fix underrepresented issues
235 million data points. 10+ real AI applications in production.
Head and shoulders ahead of competition. No one could come close.
What's Interesting
A year and a half after I left as President, this is still their highlight.
Not new tech. Not new applications.
The same systems I built.
Meanwhile, AI moved faster in the last
18 months than it did in the previous 5 years combined.
GPT-4 to o1 to Gemini 2 Flash to Claude Sonnet 4. Multimodal. Reasoning models. 2M+ context windows.
The entire landscape shifted.
And they're still running what I built in 2024.
The Real Lesson
Building something so good they can't move past it 18 months later? That's one kind of validation.
But in AI, standing still = falling behind.
Infrastructure that lasts is valuable.
Infrastructure that becomes a ceiling is dangerous.
The best systems I ever built weren't the ones that lasted longest.
They were the ones that made it easy to build what came next.
That's the principle I carry into everything now — whether it's
managing context drift in AI agents or designing systems from scratch. Build for what comes after you, not for what impresses people today. The founder's job isn't to be irreplaceable. It's to build something that doesn't need you — and then evolves without you.
