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Measuring Again Three Months Later: From AI Adoption L2.5 to L3

In July I rated myself L2.5 on Boris's AI adoption table. Three months later I measured again: Claude can reach my knowledge base and old chats, code goes through Codex review first, schedules run everything, and 430 sessions in two weeks were started by code.

Back in July I saw the father of Claude Code, the bald guy, post a table of AI adoption levels, from L0 to L4.

At L2, one person directs 5 to 10 agents at once, each running in its own workspace. Claude runs the tests and checks its own work before handing it over, and you only look at the final result.

L3: Claude writes almost all the code. It proactively does things you used to have to ask for, and maintenance and cleanup keep running in the background.

Screenshot of Boris's AI adoption table: the descriptions of step 3, Supervised autonomy, and step 4, AI-native, plus what it takes to get from step 2 to 3 and from step 3 to 4

To reach L3, Boris lists four conditions: Claude can pull in context on its own, review speed keeps up, work is broken into routines, and Claude kicks off other Claudes.

Back then I rated myself L2.5. I was already running several agents at once and letting Claude test before handing things over, but I had only 4 automated schedules, and only half of them worked on the first try. Here’s the record from three months ago: I’m stuck at stage 2.5 of AI adoption.

Three months later I measured again, and I’d say I’m solidly at L3:

Next up is L4. At L4, most agents are started by Claude itself, and the human only sets direction and looks at exceptions.

I’ll share how that goes when I get there.


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