GrokBot's teach-a-task and ChatGPT's Computer Use shift the bottleneck from model capability to contextual access. The core argument: AI tools are no longer the limiting factor, your willingness to give them the right information is.
The practical center of this piece is a deputization audit built on five criteria: frequency, teachability, checkability, stakes, and personal involvement. Each criterion scores a recurring workflow and routes it into one of three outcomes, deputize it fully, run it as a human-AI duet, or defend it as human-only. That scoring framework is worth the full read on its own.
The video also covers model speed and cost trade-offs, live agent deployments, and the three blockers that stall most automation efforts: privacy constraints, legacy system integration, and tasks that require human judgment by design. The blockers section names specific failure patterns, not generic warnings.
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