A field study in AI-assisted work

One useful prompt opened a door.

Then every new possibility asked for a little more attention.

Act 02 / Multiplication

The output got faster.
The work did not get smaller.

Act 03 / Open loops

Every possibility became another unfinished decision.

Open loops01

Act 04 / Selection

Attention decides what runs next.

Not more output. A way to choose, preserve context, and continue.

Act 05 / Durable work

The loop closes when the learning can outlive the prompt.

Field notes from the work

Writing through the work.

Notes from building software, working with agents, and learning where engineering judgment matters most.

Read the latest field note More writing on DEV
Current thread3-part series
01
Published

AI Agents Made Me Faster. Then Attention Became the Bottleneck.

Useful agents accelerated the work. They also exposed the operating layer I was still carrying myself.

8 min
02
Next

When Prompts Become Infrastructure

How repeated prompts became reusable capabilities, shared process, and durable operating context.

Drafting
03
Queued

Loops, Attention, and the Agent Operating System

How recurring work gained triggers, evidence, escalation, and a way to decide what should run next.

Outline
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