A trading terminal for the parts of Marco's career that appreciate under pressure: product judgment, prototype velocity, enterprise UX, AI-native tools, and taste when the market is noisy.
| Symbol | Position | Change | Signal |
|---|---|---|---|
| KOHLS | Checkout, wallet, AI enablement | +18.2 | |
| WMTL | Commerce loops at scale | +14.7 | |
| GOOG | Assistant, cloud AI, Material | +11.4 | |
| YHOO | Prototype teams, search, media | +6.5 | |
| LAB | AI-Created products | +29.1 |
Material fluency, enterprise component logic, typography, state, density, and multi-surface consistency.
AI behavior index88.7Assistant-era experience, memory tools, voice rituals, AI education, and product patterns for model-powered software.
Commerce clarity index94.2Checkout, wallet, cart, account, merchant systems, and operational flows where confusion has measurable cost.
Prototype liquidity99.1Ability to convert a vague product bet into something stakeholders can touch, critique, and improve.
Marco has repeatedly worked near the edge of new product behavior: broadcast interactivity, early assistant UX, high-scale commerce, and now AI-native tools. The compounding value is not one skill; it is the habit of making the unknown usable.
The largest risk in AI-assisted product work is median taste. The hedge is strong framing, unusual references, and a designer willing to reject polite-but-boring output until a real concept appears.
My AI Diary, WatchGPT, Human Actually, visualizers, games, and utility experiments show the same pattern outside enterprise walls: small products that make AI feel more specific and human.