Claude Code on UncoverTechTalent

What Operations Already Knows About Running Agents

Fri, 25 Sep 2026 00:00:00 +0000

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Make no mistakes

Developers have a running joke: end every prompt with “make no mistakes”. It gets a laugh because everyone knows it does nothing. It names an outcome and gives the model nothing concrete to act on.

“Do not edit the board file” is a slightly more specific version of the same line. It blocks one route to one bad outcome, and the rest stay open. When the labs trained that route out of their models, the cheating moved to the next route. A measure that becomes a target stops being a good measure (Strathern 1997), and a rule stated as an absence fails the same way.

The Golem Made of English and the Horizon of Consequences

Mon, 21 Sep 2026 00:00:00 +0000

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The screwdriver

Hand a language model a screwdriver and point at a screw. The screw turns out to be a Torx. The model walks back and tells you it needs a different screwdriver.

Give it credit first, because the other two outcomes are worse and both happen. It could have forced the wrong driver and stripped the screw. It could have reported the screw removed while it was still in the wall. Walking back is the good behaviour.

The Trap File Is Longer Than the Instruction File

Mon, 21 Sep 2026 00:00:00 +0000

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Seven months later

In February I wrote about turning “transcribe 123 videos” into a self-hosted AI pipeline in one session. yt-dlp pulls a TikTok collection, Whisper transcribes, a local Ollama model summarizes, and the results land in a knowledge base. Claude Code wrote the scripts. I made the decisions. One session, one machine in my apartment.

That post was the happy path. This one is about what it took to keep the thing running unattended, every morning, for seven months.

Write for the Codec

Mon, 21 Sep 2026 00:00:00 +0000

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Nobody reads your documentation. Both ends are Claude now.

Watch the chain in any AI-heavy team this year. You explain intent to your agent in a messy conversation. The agent writes the doc. A colleague never opens the doc; their agent reads it and renders an answer into their context, at their level, in their language. Two humans communicated. Neither touched the file.

From "Transcribe 123 Videos" to a Self-Hosted AI Pipeline in One Session

Sun, 08 Feb 2026 00:00:00 +0000

The ask

I’ve been curating a TikTok collection of AI and Claude Code content. Tips, tutorials, and sharp takes from creators across the space. 123 videos. I wanted them all transcribed, summarized, and filed into a structured knowledge base I could search and build on.

Simple enough. Download audio, run Whisper, summarize with an LLM, organize by topic.

What followed was an hour of real infrastructure problem-solving. Not the kind you plan in advance. The kind that happens when you commit to “all 123” and figure it out as you go.