Open questions
Questions
A living list of 10 things I don’t have answers to yet, about agents, distribution, and the shape of AI products. I’ll update it as my thinking changes. If you have a take, I’d genuinely like to hear it.
Agents
- When every team can spin up agents, what actually becomes scarce: the agent, the data it can reach, or the judgment to trust what it returns?
- If an agent can cite its sources, does “trust” become a UI problem more than a model problem?
- What’s the right unit of accountability when an autonomous agent makes a costly call: the model, the operator, or the company that shipped it?
Distribution
- In a world of AI answers, is the homepage dead, and is being cited the new being ranked?
- When assistants mediate discovery, how does a small company even get into the model’s consideration set?
- Does content still compound if humans never read it and only models do?
AI UX
- What does “loading” mean when the wait is the model thinking, and how much reasoning should we show versus hide?
- Should an AI product optimise for answering what you ask (passive) or surfacing the right thing unprompted (active)? Where’s the line before it’s annoying?
- When the model is confidently wrong, whose job is it to make the doubt visible?
- Is the chat box a temporary interface, a CLI moment before the GUI, or the durable one?
Have a sharper answer, or a better question?
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