Yesterday a Redditor posted something that actually made me stop scrolling. Not the usual “try this magic prompt” format. A structured seven-step sequence that the author describes as an automated senior content marketer for side projects.
The post is from u/Exact_Pen_8973 in r/PromptEngineering. The problem they set out to solve: you open Claude or ChatGPT, ask it to “write an article,” and get something that’s technically readable but completely forgettable. Generic. Off-brand. The kind of content that fills a blog without building an audience.
Sound like your content output? The author got tired of it and built a fix.
The Twist: Never Let the AI Start Writing
Here’s the core insight behind the framework, and it’s simpler than you’d expect.
The reason AI content feels robotic is that most people skip the planning phase entirely. You open Claude, describe the topic, and ask for a draft. The model fills in the blanks with average patterns because it has no real context. It doesn’t know your audience’s actual frustrations. It doesn’t know your angle. It doesn’t know what the content needs to do beyond “be informative.”
The author’s rule: never let the AI start writing without a plan. Every prompt in this sequence produces an output that the next prompt builds on. By the time Claude is actually writing, it has a fully researched brief sitting in front of it. That changes everything about the output.
🔧 The Mini-Workflow (Key Steps Explained)
The author shares three of the seven steps in detail in the post:
- 🎯 Audience pain point extraction. The first prompt forces Claude to surface the deepest frustrations of your target audience. Not the obvious stuff. The real underlying pain that makes people desperate enough to click, read, and buy. This step is the foundation for everything that follows.
- PAS promotional copy. A strict prompt using the Problem-Agitate-Solve formula. This takes the pain points from step 1 and turns them into copy that actually sells your project. The structure is designed to convert, not just describe. This is what separates content that gets results from content that just exists.
- Platform-specific formatting. Separate prompts for each distribution channel. The standout here is the YouTube script prompt. It generates a full 10-minute script with visual b-roll cues and high-retention hooks built directly into the structure. Not as an afterthought in editing. Baked into the brief from the start.
The remaining four prompts cover the rest of the production pipeline. The full 7-prompt sequence, with exact copy-paste templates for all of them, is in the guide the author linked from the original post.
Why the Sequencing Is the Product
This is what separates prompt engineering from prompt wishing. It’s not about finding the perfect phrase that unlocks better AI output. It’s about designing a workflow where every step generates structured input for the next one.
When the AI writes with a pain-point brief already in hand, a defined formula, and platform-specific formatting requirements, the output stops being generic. It’s specific to your audience, your project, and the job the content needs to do. That’s the gap between content that ranks and gets shared versus content that gets published and promptly ignored.
The author puts it well: it “practically functions as an automated senior content marketer.” A senior content marketer doesn’t start with a blank page. They start with a brief. This framework builds the brief first.
Pro Tips
- Reuse step 1 beyond content. The pain point extraction prompt generates real customer insight. That output is directly useful for landing page copy, product positioning, and onboarding messages. It’s not just a writing warm-up. Treat it as a research asset.
- PAS works even for technical audiences. Builders and developers often assume sales copy doesn’t apply to them. It does, especially when competing against tools with similar feature sets. The formula is not about being pushy. It’s about connecting features to the actual pain they solve.
- Save each prompt as a numbered template. Run the sequence in order for every new piece of content. After a few runs, you have a repeatable production system instead of starting from scratch every time a new topic comes up.
- The YouTube prompt is more versatile than it sounds. The b-roll cue structure works for any video format, not just 10-minute explainers. The retention hook logic applies to short-form too. It’s worth adapting even if you’re not doing long YouTube content.
Where to Find the Full Framework 🚀
The author shared all seven copy-paste templates in a complete guide linked directly from the Reddit post. Head to the original r/PromptEngineering discussion by u/Exact_Pen_8973 to find it.
If your content marketing has been stuck in “technically we’re publishing” mode without real results, this is a practical framework worth testing. Thirty minutes to set up the templates. Then you run the sequence every time a new topic hits your calendar. That’s a different kind of leverage than hoping Claude figures out what you need from a one-line prompt.
I was tired of robotic AI blogs ruining my marketing, so I built a 7-prompt Claude framework for my projects.
by u/Exact_Pen_8973 in PromptEngineering