从每天 10 个任务到 31 个：AI 智能体的拐点已至

In short : Internal data shows a 3.3x step-function increase in AI agent task volume starting Oct 12, marking a shift from passive monitoring to active execution in research, testing & admin.

Since I watched software engineers using AI, I’ve become jealous.

I’ve seen the most sophisticated software engineers assign 15 to 20 coding tasks in GitHub to an AI. They play foosball. They grab coffee. They return to evaluate the agent’s work.

The agent tackles the same task three different ways. Sometimes it nails the solution on the first try. Other times it needs more input. That engineer has paralleled her time by 10x to 15x.

Why can’t a business person do the same?

I read Twitter articles about developments in AI & have questions, but I don’t have time to delve deeper then. I often pop out of meetings with five tasks to process, & I’d love to dictate my thoughts. I have an idea for a vibe-coded experiment to run internally.

So I hooked up Gemini command line to my Asana. Now I can bark out orders like Gunnery Sergeant Hartman & have a team of agents respond in minutes. Accessing all the tools I’ve built.

This is different than accessing AI in the browser. The agent has access to my systems : Asana, email, calendar, CRM. It can read my files, pull data from my tools, & act on my behalf. I’m not copying & pasting between browser tabs. The agent works within my environment.

I’ve gone from producing 10 to 31 tasks per day. Agents are working on my behalf while I am in meetings.

I had an idea this morning : run a statistical analysis on my Asana usage. An agent wrote a piece of code to hit the Asana API & save the data into a particular folder. An R script generated these two charts & many others. I ran a collection of different statistical analyses. We went back & forth in the Asana comments on which visualizations were the right ones. These aren’t simple tasks; many of them have 30 or 40 comments, representing iterations on the original idea.

Then I created an outline in the SCQA format. Within five minutes, this post had been written. Another agent graded the post & ensured it matched my style.

This is the power of AI : parallel work while we’re passive (I was at the gym at the time).

When we give agents the right tools, the velocity of work changes instantly. Business people can now do what software engineers discovered months ago. We can spin up 15 parallel workstreams. We can evaluate results over coffee. We can 3x our daily output without working longer hours.

The Agent Inflection Point isn’t coming. It’s here.

We’ve open-sourced the Asana Agent Monitor on GitHub.

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