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I didn’t begin my career in technology.
I trained as a theologian, worked as a social worker, and learned to code in a Sydney youth refuge in 2009.
That gave me a people-first lens shaped by trust, relationships, and values — a perspective that still guides how I build today.
Since then, I’ve spent my career building: 90+ software products, a few companies I’ve founded and sold, and projects with brands like Uber, Hoyts, and Kmart.
That journey led me to a deeper question at the heart of AI adoption:
Can we trust this technology?
In 2023, David Yuan popularised the System of Action — the next step after Geoffrey Moore's Systems of Engagement and the earlier System of Record. Unlike those before it, Systems of Action don’t just record or inform decisions — they execute them in real time.
But the next platform shift isn’t just about speed.
It’s about certainty.
I’ve written a thesis on what I believe comes next: The System of Trust.
In it, I introduce several ideas already shaping the market:
- The confidence gap — why AI adoption stalls without proof
- Compounding trust — how verified outcomes accelerate adoption and lower CAC
- Two-layer feedback — combining economic signals and societal values
- The infrastructure for trust — data standards, governance, marketplaces, and legal rails
If you’re interested in how predictions become proof — and proof becomes growth — I’d love your read and perspective.
Link here --> tapestry.ai/thesis-the-sys…

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