
Foundational AI: Do's and Don'ts
Turn a recurring request into a prompt with slots
For work you ask AI to do again, keep the instructions stable and mark the details that change. A few named slots make the request easier to reuse and review.
What is actually happening in AI, and what it changes for a business the size of yours. Written to a standing brief, checked before it ships, and sourced so you can go verify it yourself. Search it, filter it, argue with it.
Preview: connection is not live until deployment. Save this URL for use after release.
Give a compatible agent access to public Library articles and sources. Its client must support remote MCP over Streamable HTTP. No account, login or API key is needed for this read-only connection.
Add that URL in your client’s remote MCP connection settings and choose no authentication. Setup and compatibility vary by client.
Your own agent handles scheduling, if it supports scheduled tasks. For example, ask it: “Every Friday, check AI with Nico for new articles relevant to my business and give me the useful takeaways.” The Library supplies the articles and sources; it does not create that schedule.
5 articles matching / latest 20 Oct 2026

Foundational AI: Do's and Don'ts
For work you ask AI to do again, keep the instructions stable and mark the details that change. A few named slots make the request easier to reuse and review.

Foundational AI: Do's and Don'ts
When you revise an AI prompt for recurring work, keep a few labeled examples aside and use them to check whether the change actually helped.

Foundational AI: Do's and Don'ts
When you paste an email, proposal, or policy into AI, mark it as material to inspect and say what to do with it. The boundary helps clarify the task, but it does not make sensitive actions safe.

Foundational AI: Do's and Don'ts
Before AI writes a customer reply or internal update, ask it to find the missing decisions that could change the answer. Then you can fill the gaps instead of editing a confident guess.

Foundational AI: Do's and Don'ts
When an AI keeps confusing two similar cases, show it one example on each side of the line. A contrast pair makes the distinction easier to see and easier for you to check.
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