I built a Cursor playbook that writes my newsletter and all content exactly like me
Send this URL to Cursor/Claude and ask it to build this for you. It takes raw thoughts and ships newsletters, LinkedIn posts, and tweets in your own voice.
tbh, I was being lazy around writing my newsletter.
Every week, I'd sit down to write and think "there has to be a better way to do this."
So instead of just pushing through like most people would, I did what any PMM worth their salt would do: I built a system (at scale) to solve it.
Not just any system. A complete AI content creation workflow that takes my raw thoughts (which again I don’t type anymore) and turns them into newsletters, LinkedIn posts, and Twitter threads that sound exactly like me.
And I'm going to show you exactly how I built it - and give you everything you need to build it yourself.
What I Actually Built
Here's the setup I created:
Input: I just type my thinking into Cursor - doesn't matter if it's messy, stream-of-consciousness, or half-baked thoughts. it generally is my view on how I think it should be or how things
Process: My system analyzes my input, learns from my existing content, scrapes industry insights from all popular marketing and GTM leaders (Emily Kramer, Kyle Poyar, Kyle Coleman) and generates content in my authentic voice.
Output: Complete content package ready to publish across Reddit, LinkedIn, Twitter (X).
The entire workflow runs inside Cursor. No external tools (except browser automation to crawl LinkedIn), no switching between apps, no complicated setups.
I literally just input my thinking and it creates newsletters that write like me, think like me, and sound exactly like something I would actually publish (which I do though).
How the System Actually Works
Let me walk you through the real workflow:
Step 1: Raw Input Processing
I save my thoughts as a simple .txt file in my Cursor workspace. Could be 200 words, could be 1000 words. The system handles both.
Example: I literally just typed "I was being lazy around writing my newsletter" and the system expanded that into this entire piece you're reading.
Step 2: Industry Intelligence Gathering
The system automatically:
Scrapes latest LinkedIn posts of (Emily Kramer, Kyle Poyar, Kyle Coleman) for marketing insights and viral patterns
Analyzes top newsletters from Growth Unhinged, MKT1
Extracts engagement triggers and high-performing content structures
Updates my writing style based on my latest 32+ LinkedIn posts
Step 3: Content Generation
Using all that data, it generates:
Newsletter: Expands my thinking to 2000-3000 words with my voice and structure
LinkedIn Posts: 2-3 optimized posts with engagement predictions
Twitter Thread: 5-8 tweets with proper threading and CTAs
Step 4: Cursor Integration
Everything stays in my development environment (all local). Generated content appears in organized folders which are pushed to Git. I can edit, refine, and publish directly from Cursor.
No switching between tools. No copy-pasting. Pure workflow efficiency.
The Technical Stack (For the PMMs Who Code)
This isn't just prompt or context engineering. It's a complete system:
Python Scripts: Automated content analysis and generation
, , Kyle Coleman) insights
Selenium Integration: LinkedIn scraping for (
Feed Parsing: Newsletter analysis from top marketing sources
Style Learning: AI that adapts to my writing patterns over time
Cursor Workflow: Everything integrated into my daily coding environment
The system learns from:
My existing LinkedIn posts (32+ posts analyzed for voice patterns)
My newsletter content (automatically updated daily)
My Twitter threads and engagement patterns
High-performing content structures of others
Industry leaders' viral hooks and frameworks
What Makes This Different from Generic AI Tools
Most AI content tools give you generic output that sounds like everyone else.
This system is trained specifically on my voice, my industry insights, and my PMM audience preferences. It doesn't just generate content - it generates MY content.
Example: When I input thinking about PMM automation, it knows to:
Reference my QBack experience
Structure content the way I naturally write
Include real numbers and personal stories
Talk directly to product marketers in my no-BS style
The result: Content that my audience can't tell was AI-generated because it sounds exactly like something I would write.
This is the perfect example of AI creating content about AI - but done authentically, with my voice, using real industry insights.
Send this URL to Cursor/Claude Code and ask it to copy it. That’s it! Literally use this setup to create something on your own.
Why This Matters for Every PMM
We're constantly creating content:
Product positioning docs
Competitive battle cards
Launch messaging frameworks
Demand gen campaign copy
Thought leadership content for the CEO
This system handles the execution while you focus on stuff that actually helps you sell and win deals.
Most marketers are screwed because they only understand one piece of the puzzle.
Content creators: understand messaging but don't know product positioning.
Demand gen: understand funnels but don't know buyer psychology.
Growth marketers: understand metrics but don't know competitive dynamics.
Product marketers understand the entire system. Just you need to up-level and be a full stack marketer.
I'm sharing everything:
This isn't a course (hate to see when people sell courses, don’t fall for that sh*t). It's the actual system I use daily, shared because I think every PMM should have access to this kind of leverage (and this should be free).
🏈 Quarter back your content creation the same way you quarter back deals.
Hit reply and let me know what content creation task you'd automate first.
The PMMs who figure this out early will have an insane advantage over those who wait.
P.S. This newsletter was generated using the exact system I described. I input my raw thinking about being lazy with newsletter writing, and the system expanded it into what you just read.
P.P.S. Follow along on LinkedIn @harshitjain7 or Twitter (@harshitqback) for updates.