How to Make an AI Newsletter: Research, Draft, Review

To make an AI newsletter, define a reader and a useful promise, collect reliable sources, ask AI for a structured draft, and have a person check and approve the issue before sending. Use your email publishing service for subscribers and delivery. The newsletter can cover AI or any other subject; the same editorial checks apply.

Tools like fenbs keep source links, approved prompts, and editorial decisions together between issues. That helps when one assistant researches, another helps edit, and a person remains responsible for what subscribers receive.

What should you decide before drafting the first issue?

1. Choose a specific reader and problem. “Practical software decisions for a small design studio” gives you a clearer filter than “interesting technology.”
2. State the promise in one sentence: what readers should understand or be able to do after reading.
3. Choose a sustainable structure, such as one main explanation, two useful links, and one practical exercise.
4. Name the person who approves factual claims and the final send. Decide how you will handle uncertain information, sponsorships, and corrections.
5. Create an issue checklist covering sources, drafting, review, links, mobile layout, recipient list, and final approval.

Write one trial issue before promising a cadence you cannot maintain. Time the research and checking, not just how quickly AI produces a draft. If reviewing the output takes too long, narrow the subject or shorten the format rather than removing the review.

How do you research an issue without collecting a pile of weak links?

Start with a reader question. For a software newsletter, that could be “What should a studio check before sending client files to an AI tool?” Identify the claims your answer needs, then find the product documentation, original research, or responsible public authority that supports each one.

AI can suggest search terms and sort candidate sources, but open the sources yourself. Save the title, URL, relevant passage or section, date checked, and the specific claim it supports. Distinguish the publication date from the date an event happened. If a page is inaccessible, either find another reliable source or remove the unsupported claim.

Keep source links with the editorial project in fenbs, alongside what you have actually verified. A saved link without its purpose is a bookmark; a link tied to a checked claim is something the next assistant can use.

What should an AI drafting prompt include?

Give the assistant the audience, purpose, format, approved source material, and limits. Ask for a draft with visible questions wherever evidence is missing. Do not ask it to manufacture a personal anecdote, customer quote, test result, or expert opinion to make the issue feel more convincing.

Reader: [specific audience]
Issue question: [one practical question]
Useful outcome: [what the reader should understand or do]
Format: short opening, main explanation, useful links, one next action.
Voice: direct, concrete, and free of hype.
Use only the checked source notes below for factual claims.
Keep facts separate from my analysis and hypothetical examples.
Do not invent quotes, experiences, results, or citations.
List missing evidence and editorial questions after the draft.
Suggest subject lines that accurately describe the issue.

Checked source notes:
[paste reviewed claims and source URLs]

Draft the explanation before choosing a subject line. Ask the assistant to shorten repetition and explain unfamiliar terms, then compare the revision with the original claims. A fluent rewrite can still remove a qualification such as “available in selected accounts” or change a possibility into a promise.

For a broader starting routine, see how to use AI at work. This workflow is about producing a trustworthy issue; the separate guide to making money with AI covers the wider business question.

What needs human review before publication?

Run one pass for evidence and another for the reader’s experience. In the evidence pass, match each factual claim to the original source. Recheck quotations, product names, limitations, and dates. Label hypothetical examples, and make sure your analysis is not presented as something a source proved.

• Read the subject line beside the actual content. Remove any promise the issue does not deliver.
• Check that every link leads to the intended page and supports the nearby statement.
• Remove confidential information, unnecessary personal details, and material you do not have permission to publish.
• Review sponsorships and other commercial relationships so readers can understand the interests involved.
• Have the named editor approve the reviewed version. If a material change follows approval, send it back for another check.

For US commercial email, consult the FTC’s CAN-SPAM compliance guide↗ (opens in a new tab). It explains requirements including accurate sender information and subject lines, a valid postal address, an opt-out method, and honoring opt-out requests. Check the full guidance for your message and mailing practices rather than treating an AI-generated checklist as compliance approval.

How do you test and send the finished issue?

Move the approved content into your publishing service and preview the email as recipients will see it. Open a test on a phone, check headings and image descriptions, and click every important link. Confirm the sender, reply address, recipient selection, and unsubscribe behavior using the service’s supported testing method.

For example, Mailchimp’s preview and test guide↗ (opens in a new tab) covers desktop and mobile previews, link checking, and test sends. It also explains that contact-specific personalization does not behave like a normal send in a basic test email. Check the instructions for your service instead of assuming a successful preview tests every feature.

Have a person confirm the final send or schedule. After publication, save the published issue link, the approved version, and any correction that affects the next issue. If a subscriber points out an error, verify it, correct it through the appropriate channel, and improve the editorial check that missed it.

How to do this with fenbs

1. Create a free account and add a project for the newsletter, with its reader and editorial purpose in the project context.
2. Save the chosen editorial rules in Decisions and rules, attributed to the person who decided them. Put the reusable drafting instructions in Skills and prompts.
3. Add tasks for research, drafting, evidence review, and publication checks. Keep source links and unresolved questions with the issue’s work.
4. Connect your assistant through Integrations. Ask it to read the rules before drafting and save progress with what was checked, what needs approval, and where to begin next.

fenbs does not send newsletters, manage subscriber lists, or connect directly to Mailchimp. If you only need an email designer and mailing list, choose a publishing service. fenbs helps preserve the source record and working instructions that people and assistants use before publication.

What should change after the first few issues?

Look for repeated editorial work and recurring errors. If readers keep asking for definitions, adjust the assumed knowledge in your prompt. If source checks repeatedly uncover unsupported comparisons, narrow the drafting instructions. Keep the editorial format stable enough to evaluate one change at a time.

A small AI brain for the newsletter should hold the decisions that improve the next issue, not every discarded sentence. Explore the AI at work hub for other ways to keep AI-assisted work reviewable.