Foundational AI: Do's and Don'ts
Give AI a scope note before a review
When AI reviews only part of a report or record set, make that boundary visible before you use its conclusion. A short scope note helps you spot what the answer cannot cover.
Back to this week
Library237 articles on file
The Library
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.
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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.
Showing November 2026
23 articles matching / latest 04 Nov 2026
Vibecoding News and Updates
October 2026: Coding agents moved into the workflow
October’s coding tools spread across models, IDEs, repositories, and longer-running work. The useful question for November is how you’ll check what they do, not how much code they can produce.
Vibecoding News and Updates
Copilot cloud sessions follow you across clients. Check where the work runs.
GitHub connected Copilot cloud sessions across VS Code, mobile, the CLI, and other clients. Before handing off a task, check whether it runs on GitHub’s cloud or a machine you need to keep online.
Foundational AI: Do's and Don'ts
Compare AI with the work it replaces
Before deciding whether AI helps with a task, compare it with the process you use today. Count the checking and rework in both versions.
Foundational AI: Do's and Don'ts
One example is not a procedure
AI can turn one unusual case into a polished procedure that sounds like a team rule. Separate what happened once from what your process actually requires before sharing the draft.
Vibecoding News and Updates
Ask an agent to check whether the docs still match a pull request
A coding agent can compare one pull request with the documentation it may affect. Ask for a source-linked review packet, then decide what actually needs to change.
Foundational AI: Do's and Don'ts
Separate must-haves from preferences before comparing options
Before asking AI to compare tools or proposals, label which requirements are deal-breakers and which are preferences. That keeps a nice-to-have from outweighing a condition the work depends on.
Git Articles
Review the workflow the agent actually runs
GitHub Agentic Workflows turns a Markdown request into a GitHub Actions workflow that runs a coding agent. Before enabling one, review the generated workflow and decide which outputs need a person’s approval.
Monthly State of GTM
October 2026: Put GTM context before the agent
October brought more AI into campaign measurement, CRM context, and customer engagement. The useful next step is to check the data and handoffs behind the automation before adding another agent.
Foundational AI: Do's and Don'ts
Keep a row-count receipt when AI cleans a spreadsheet
AI can help clean a spreadsheet, but a polished result can hide missing, duplicated, or changed records. Keep the original, preserve each row’s identity, and reconcile the result before using it.
Foundational AI: Do's and Don'ts
Try one reversible AI-assisted step
Before asking AI to change a recurring process, try one small step you can review and undo. Decide what result would justify going further.
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