An ongoing series of case studies and short essays. Each one examines a single question about how AI is shaping creative and conceptual work — and what a human-led alternative would look like.
New entries are added over time. The most recent appears first.
Why creative output converges toward a competent but uniform average when millions of people develop their ideas through the same few generative systems — and why human-led approaches are structurally rare rather than simply overlooked.
Why stronger foundation models do not dissolve the need for human-led conceptual governance — the difference between a capability gap, which a better model closes, and a governance gap, which it does not.
Read — coming soonAn architectural comparison: AI-curated memory versus human-curated canon, and what each approach quietly optimizes for.
Read — coming soonHuman-seed amplification in design tools, and what it suggests for a workspace that amplifies the idea sketch rather than the hand sketch.
Read — coming soon