Consumer AI Has a Problem Nobody's Naming

What's really happening inside consumer AI when software is finally capable enough to help but has somehow become one more thing to manage?

The common pitch is that agents can do anything — but the reality is that most consumer agent products are still reactive, putting the hardest job on your shoulders: figuring out what to ask, remembering the agent exists, translating tasks into prompts, and supervising results.

In this video, I share the inside scoop on why we don't have the proactive assistant yet:

• Why the anticipation gap is the real frontier, not model capability or agent architecture

• How coding agents crossed the threshold with clean verification while consumer life has no compiler for taste

• What makes the permission ladder from read to suggest to draft to act with confirmation to autonomous actually work

• Where Poke, Clicky, Clueless, and Cowork are betting and what each reveals about the problem

Leaders waiting for proactive agents to arrive from the labs may be waiting a while — the burden right now is on you to make your workflows predictable enough for agents to anticipate.

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