AI isn't the problem. Unpredictability is.
You ran the prompt. It worked beautifully. You ran a version of the same prompt the next day and got something unusable. Then you spent the next twenty minutes fixing AI instead of editing.
That's not a failure of skill. That's what happens when you use a powerful tool without a repeatable method. It's like an AI slot machine.
The editors getting consistent, defensible AI results aren't guessing better than you. They're using a structure you haven't learned yet.
Here's How It Works
1
Learn the structure.
You'll master the 4P Framework and five advanced prompting techniques built specifically for editorial tasks—so you can design a prompt that works, diagnose one that doesn't, and build a library of go-to prompts adaptable to any project.
2
Build your assets.
During the course, you'll create a personal prompt library, a custom style guide AI can actually read, and knowledge documents that carry your editorial standards automatically into every project. You build them once; you use them everywhere.
3
Edit with control.
With a repeatable system and reusable tools, you'll direct AI the way you direct any capable collaborator: clearly, efficiently, and with full professional accountability for every result.
The editors who use AI reliably—who can reproduce a result, show their reasoning, and hand their team a successful AI workflow—are developing a professional advantage that's only going to widen. If AI is already part of your process and it still feels like a gamble, a system that delivers consistent results isn't a luxury. It's the difference between spending an hour re-prompting and spending that hour editing.
See It In Action
You won't just hear about these techniques. You'll watch them work on real editorial problems:
Catch what a fast read misses.
In the transparency lesson, you'll run a biography past AI and surface factual errors, each one flagged with a confidence rating and a source you can verify in seconds.
Tame messy, multi-author content in one prompt.
You'll take system descriptions written in four completely different styles and reshape them into one clean, uniform format—with a single prompt, no follow-up required. The same method works on the inconsistent drafts that land on your desk every week.
Turn vague AI judgment into a documented rubric.
You'll have AI build scoring criteria, apply them, and show its reasoning. Now "this reads better" becomes a defensible, repeatable rationale you can stand behind.
What You'll Learn
The difference between a prompt that works and a prompt that works reliably is structure. You'll build prompts from four essential components—Persona (who AI is), Purpose (what success looks like), Process (how to get there), and Pattern (what the output looks like)—so you can design strong prompts faster, fix underperforming ones, and build a library of go-to prompts adaptable to any project.
You'll leave able to: construct reliable prompts with all four Ps and diagnose why a weak prompt is failing.
AI edits shouldn't happen in a black box. When you can't see why the AI made a change, you lose control—and control is what separates editorial judgment from automated output. You'll learn how to make AI to show its work:
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Propose Alternatives: giving multiple revision options with the reasoning behind each
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Confidence Signals: rating its certainty of its output
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Disagreement Flags: flagging edits where reasonable editors might differ
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Rubric Prompting: turning vague judgment into documented, repeatable criteria
You'll leave able to: keep editorial control over AI output, produce auditable reasoning, and build rubrics that evaluate content against defined standards.
In AI editing, the best results don't come from telling it longer prompts. They come from showing the AI what you want and guiding it through the process. You'll learn Few Shot prompting (examples that capture voice, brand, or feel) and Chain of Thought prompting (breaking complex tasks into reviewable steps you can redirect along the way).
You'll leave able to: hit consistent, on-target output with examples, structure multi-step editorial tasks, and combine both techniques for complex work.
When AI misses the mark, the problem is often not what you asked, it's that AI struggled to process the instructions. Markdown and XML help you write the AI instruction book. Markdown keeps your formatting portable when you move output into Word or Google Docs. XML tags clearly separate the task, content, and expected output so AI processes each part as you intend.
You'll leave able to: produce consistently formatted output, organize complex prompts with XML, and combine both into a style guide AI actually applies.
Prompts tell AI what to do in the moment. Knowledge documents tell AI what to know every time. You'll build three: a Custom Style Guide (your house rules), Content Examples (the tone and voice to match), and a Restricted Terms List (words to avoid and what to use instead). Build them once during this course; use them on every project after.
You'll leave able to: choose the right knowledge document for each task, build them in Markdown, XML, and CSV formats, and pair them with prompts for consistent, standards-aligned output.
This lesson is your bridge to Building AI Assistants. The knowledge documents you create here are exactly what that course teaches you to automate.
Advanced AI Prompting for Editors
Tuesdays from July 7 to August 4
Session Length: 90 minutes
Start Time: 12:00 PM ET | 9:00 AM PT | 16:00 UTC
Price: $495 USD (plus applicable tax)
Register for Advanced AI Prompting for Editors
Reduced Fee Note
Employees of certain nonprofits are eligible for a reduced enrollment fee. To find out if you qualify, email Support@AIForEditors.Com.
Group enrollments of 5 students or more are eligible for a group discount. Email Erin@AIForEditors.Com for more information.
There are a limited number of spaces in each class reserved for unemployed and underemployed people who would benefit from a free or reduced enrollment fee. To find out if there is space in an upcoming section, email Support@AIForEditors.Com.
What's Included
✔️ Five 90-minute live lessons with Q&A and hands-on exercises
✔️ Recordings of every class, so you never miss a session
✔️ Lesson reference guides you can use at your desk long after the course ends
✔️ Access to an exclusive online community of editors during and after the course
⭐️ Certificate of completion
This course is the only one of its kind and is essential for any editor to remain relevant as technology continues to become more and more sophisticated.
Nadia Geagea Pupa
Frequently Asked Questions
What happens after I join?
You will be emailed an enrollment confirmation, receipt, and more information about the course.
What if I can't attend live?
There will be recordings of every live class made available, and you can join our discussions online.
Do you have a refund policy?
Yes. You can request a full refund up to 14 days after the course begins.
Can I register a group?
Absolutely! Groups of five or more are eligible for a group discount. Email Support@AIForEditors.Com to learn more.
How is this different from Building AI Assistants?
Advanced AI Prompting for Editors is about the craft, getting reliable, reviewable results on the work you do today. Building AI Assistants is about infrastructure, automating those results so they run without you. The knowledge documents you build in this course are exactly what Building AI Assistants teaches you to automate, so many editors take them in sequence. Either delivers value on its own; start with whichever fits your needs now.
Do I need to know how to code?
No. We cover technical concepts like XML and Markdown as content labeling techniques rather than code.
Which AI tools do we use?
We focus on the major LLMs: Claude, Gemini, ChatGPT, Copilot, and similar tools. Most of what you'll learn, including the 4P Framework, is universal and applies to almost any AI model.
Is there anything I need to buy for the course?
It's strongly recommended you have access to a paid individual, team, or enterprise version of Claude, Google Gemini, Copilot, ChatGPT, or Mistral.
How do I get my Certificate of Completion?
Each lesson includes an optional assignment. Complete the coursework to earn your Certificate of Completion at the end of the course.
How does the online group work?
You'll have exclusive access to the AI for Editors community during the course and afterward. It is a place to ask questions, troubleshoot, share your AI experiments, and stay connected.
How much time will it take?
Each lesson is 90 minutes; assignments take about 90 minutes. Practicing between lessons is recommended, but how much time you invest is up to you.
Other questions?
Email me at Erin@AIForEditors.Com.