Mental Models for the AI Economy
Practical essays on how AI actually changes work, product, and business economics — not hype, not fear.
Field notes on AI, product, and the economics underneath.
Essays, field guides, and interactive decks on what actually changes in knowledge work as AI gets cheaper, faster, and more embedded — and what stays exactly the same.
- Privacy & Trust
AI Data Retention: ‘Not Used for Training’ Does Not Mean Deleted
Training, retention, access and deletion are four different promises. Map your application, logs and provider copies, understand zero data retention, and rehearse what a deletion request actually does.
September 16, 20269 min read · interactiveRead - Privacy & Trust
Can You Train AI on Your Customers’ Data? Ask Them First
The FTC's warning, Meta's EU opt-out and Anthropic's five-year choice set the reference points. The four variables that decide whether a training-data change keeps trust.
August 20, 20269 min read · interactiveRead - Privacy & Trust
The Data You Never Collect Cannot Leak
AI workflows make copying easy and ownership harder. A practical guide to purpose, minimization, retention, and permissions before customer data enters an agent’s context.
August 6, 20268 min read · interactiveRead - Privacy & Trust
Your Visitors Already Said No. Is Your Site Listening?
About a dozen US states treat Global Privacy Control as a legal opt-out, and California browsers must send one from 2027. How the signal works, what it should switch off, and a live check of your own browser.
August 6, 20269 min read · interactiveRead
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