
My AI Agent Got Its Own Screen on My Desk. It Decides What I See.
There is an e-ink display next to my keyboard telling me I have used 42.14% of my life. This is a story about hardware, AI, and why the two finally belong together.
Practical AI insights from an e-commerce manager who builds agents at night
Subscribe:.rss.atom.json.md.m3u.pls
Live Last read · last published · next check
Saves to your Listen queue, to pick up on another day or another device.

There is an e-ink display next to my keyboard telling me I have used 42.14% of my life. This is a story about hardware, AI, and why the two finally belong together.

Why homemade beats off-the-shelf, what actually makes an agent learn, and a job finder built for friends.

From a Lego castle on the living room carpet to a kanban board I shipped on three platforms and killed in six months.

What happens when capability masks debt, and why the human read is the check nothing automates away.

Three AI graphic novels, one research question: where does the line between slop and quality actually live? What changed across 255 agents, 16M tokens, and three complete pipelines.

A working playbook: effort by task, model routing, agentic runs, and vibe coding without the surprise bill.

The quiet ways the agent you already run falls apart in use, and how to make fewer of them.

No real AI hardware yet, agents still break, and trust is the bottleneck. Where I think the next few years actually go, from someone who lives with one.

Three weeks of building instead of writing. Here is everything that piled up in the meantime, including a few days with Anthropic’s new top model.

What minimal knowledge and a vague direction get you now, and why vibe coding quietly became my default.