AI as the Micromanager?
It might be the most useful AI layer: watching the mess, extracting the work, and telling you what needs to happen next.
It might be the most useful AI layer: watching the mess, extracting the work, and telling you what needs to happen next.
Jobs aren’t disappearing. They’re splitting. Every role is becoming a human+AI role.
The gap between “we have 5 agents” and “we have 500 agents” is not filled by buying more products. It is filled by building the foundation.
An external vertical agent is not an internal agent. A platform that wraps your code and takes over the runtime is not really infrastructure.
A lot of “knowledge work” is now delegatable. The value shifts from doing the task to scoping it well.
How AI agents change the traditional API development model: skip the server layer and let agents work directly with API contracts.
Upload an invoice and the agent reads it, classifies it, renames it, files it into the right Google Drive folder, and keeps an audit trail: the parts that break in production, solved.
Deploy custom AI agents to Slack in minutes. They respond to mentions, keep memory across threads, and work like real coworkers inside the tools you already use.
Stop building for procurement. Start building for real autonomous transformation.
Autonomy without control is chaos. We don’t ship chaos. We ship infrastructure.