Advanced AI Prompting for Editors
(Self-Paced)
Most editors can get one great AI edit. Getting the same quality every time on every project for every client takes structure. This self-paced course gives you that structure.
Stop gambling on AI results. Learn the system that gets it right the first time, every time.
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.
Preorder now.
Course opens late September 2026.
Format: 7 hours of self-paced video lessons
Access: lifetime access to updated content
Introductory Price: $374 USD
Register for Advanced AI Prompting for Editors
What's Included
✔️ 7 hours of self-paced video lessons
✔️ lesson reference guides
✔️ system prompts and frameworks you can adapt to your own work
✔️ exclusive AI for Editors community access and ongoing events for students
⭐️ certificate of completion
Frequently Asked Questions
What happens after I join?
You will be emailed a receipt and a welcome email with instructions for accessing the course.
Do you have a refund policy?
A full refund is available within 14 days of your purchase date or 14 days after the course begins, whichever is later.
How is Advanced AI Prompting for Editors different from Introductory AI for Editors?
Introductory AI for Editors explores basic AI uses across the full editorial workflow (copyediting, line editing, content editing, and fact-checking). Advanced AI Prompting for Editors teaches next-level prompting techniques to improve outcomes of any AI editing prompt.
Do I need to take Introductory AI for Editors first?
There is no requirement to take Introductory AI for Editors first. If you are regularly using simple AI prompts to do multiple types of editing tasks and you do not need assistance determining where to incorporate AI in your editorial workflow, then you are ready for Advanced AI Prompting for Editors.
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.
Are group discounts available?
For live courses, group discounts are available for groups of 5+ students. For self-paced courses, group discounts are available for groups of 10+ students.
Are financial discounts available?
There is a limited number of free and reduced-fee spaces for unemployed and underemployed individuals and nonprofit employees. Email support@aiforeditors.com to learn more.
How does the community work?
Students in both self-paced courses and live-taught courses get access to the main AI for Editors online community as part of enrollment. This is where students can ask questions, share experiments, and stay connected. In addition, students enrolled in live courses get access to a private section within the community for their cohort.
What do I need to buy?
Nothing else. But you will need access to ChatGPT, Claude, Copilot, Gemini, or your workplace's internal LLM. A paid subscription is recommended.
How do I get my certificate?
Complete the assignment for each lesson. This will take about 60 minutes per lesson. When you complete your final assignment, you will receive your certificate of completion at the email address you used to register.
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.
Other questions?
Email me at Erin@AIForEditors.Com.