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A free weekly newsletter explaining AI agents and agentic workflows. Learn how they work through practical examples for research, writing and everyday business tasks.
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Follow a useful task from the brief to the result, with the tools and checks explained.
What you want the agent to do and what it needs from you.
The steps, tools and instructions behind the work.
What to review before using or sharing the result.
Learn what it needs, what it can do and where it can go wrong.
See how instructions, tools and checks fit together.
Start with a useful task in your own business.
Read a short lesson below. Get new examples by email each week.
Define the job, the information it can use and where it should stop.
“Help with my business” leaves too many decisions open. A useful first task is smaller: turn your meeting notes into a list of actions.
Provide the notes and describe the output. Keep tool access limited to what the job needs. A prompt sets the brief; the connected tools and approval settings control what the agent can do.
Use these meeting notes to draft an action list. Include the task, owner and deadline only when the notes state them. Mark missing details as “not specified.” Stop after the draft so I can review it.
Compare each action with the notes. Look for invented owners, dates or commitments. Correct the brief before giving the agent a larger task.
Go from a focused question and source material to a draft with traceable claims.
Choose one question, such as “Which of these three tools fits our research process?” Provide the source pages or documents and the criteria that matter to you.
Ask the agent to extract relevant facts, compare them and attach a source to each claim. If it can browse, set the sources and date range it should use. If it cannot, supply the material yourself.
Using only the sources I provide, compare these tools against these criteria. Link each factual claim to its source. Separate facts from your recommendations. Flag missing or conflicting information.
Open the original sources. Verify names, dates, prices and quoted claims. Treat a citation as a pointer to check, rather than proof that a statement is correct.
Let the agent prepare the reply while you keep the decision to send it.
Give the agent the incoming message, the facts it may use and an example of your tone. Ask for a reply that stops at the draft stage.
For a connected email workflow, keep sending disabled or require a separate approval step in the tool. A sentence in a prompt is not a substitute for that setting.
Draft a reply to this message using the facts below. Do not invent prices, deadlines or promises. Ask me about missing details. Return the draft for my review; do not send it.
Review the recipient, names, figures, attachments and commitments. Test the approval step with a harmless example before using the workflow for business email.
Each issue helps you understand how AI agents work and where they could fit into your business.
An agentic workflow is the process around an AI agent: the task it receives, the tools it can use and the checks before its work is used.
An update worth understanding, with its source and a clear explanation.
A practical task broken into the tools, instructions and steps behind it.
A small exercise or prompt you can adapt to your work.
The details to review and the decisions that stay with you.
Relevant tools and resources, with setup needs and costs explained.
Yes. We explain the terms and walk through practical examples. When a lesson needs technical setup, we make that clear.
Yes. The weekly newsletter is free. Some tools covered in lessons may have their own charges, which we explain alongside the example.
Some tasks work well with a simple prompt. We explain when an agent or a longer workflow is useful, so you can choose an approach that fits the job.
Explore three starting points: email replies, social content and lead follow-up. Choose a task you already do and learn what the setup involves.
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AI Agent Insider is a free weekly newsletter for people who want to understand AI agents and use them in their work. We explain practical examples for research, writing and business tasks, including the setup and the parts that need human review.