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Notes on working with AI

Claude for operations teams

Agents, scheduled tasks and classifiers: how operations teams automate what they can check and hand off what they can't.

3 min read

Don't make Claude read every row

One job took 150,000 tokens, then about 2,000 once the agent wrote code instead of reading everything. Why that works, and a version you can use today.

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4 min read

One agent, many playbooks

Fifteen half-finished AI projects, a few that work some of the time? Stop building agents per task. Give one agent a playbook per job.

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3 min read

Not everything needs a language model

Many AI projects are classic prediction problems with a table of past data. A language model is the wrong tool for them, and Claude is most useful as the analyst who builds the right one.

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4 min read

The most useful thing a company AI can say

A company AI that answers every question has a design defect. The fix is a refusal threshold, cited sentences, and a test set that includes questions it must decline.

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4 min read

Give your first agent read access and nothing else

An agent is data access, written rules and a scheduler. The design choice that matters most is keeping read permissions apart from action permissions, then proving the rules in a dry run.

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4 min read

A classifier is only as good as its rulebook

Automated sorting stalls when the rules are written once. A cascade with a confidence bar turns every escalated case into an edit to a written rubric, which keeps the improvement auditable.

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4 min read

Automate what you can check. Hand off what you can't.

A calendar slot is a fact you can check. A customer's judgment call isn't. The gap between them is the whole question worth asking before you automate anything in your business.

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3 min read

The question I ask before any agent gets a real job

Most teams that get an agent working never get past the demo, and the reason is almost never the model. The real question is whether you can ask it, each evening, what it did, and get an answer.

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Claude training for teams

Want your team working this way?

This is the material we teach in workshops, at your office or online. Tell us what you're trying to solve, and we'll come back with a plan.