People ask how I use AI in my writing work. Not theoretically—practically. What tools, in what order, with what prompts? Here's my actual workflow, refined over 18 months of daily use.
Overview: The Five Phases
My writing process has five distinct phases, and I use different AI tools (or no AI) for each:
- Research: Understanding the topic deeply
- Planning: Structuring the content
- Drafting: Getting words on the page
- Editing: Refining and polishing
- Optimization: SEO and formatting
Let me walk through each phase with specific examples.
Phase 1: Research
Primary tool: Perplexity AI + Claude
Before I write anything, I need to understand the topic thoroughly. My research stack:
Perplexity for Quick Understanding
I start with Perplexity because it gives me sourced answers. "What are the current trends in email marketing automation?" returns a summary with links I can verify.
Key advantage: citations. Unlike ChatGPT, I can check where information came from. Essential for factual accuracy.
Claude for Deep Analysis
Once I have the basics, I use Claude to think through the topic more deeply. Claude handles nuance and complex reasoning better than alternatives in my experience.
"I'm writing about email automation for e-commerce. Based on current industry trends, what angles might be under-explored? What do most articles miss? What questions do readers probably have that rarely get addressed?"
This conversation often reveals angles I hadn't considered. Claude's tendency to think deeply before responding surfaces insights that quick searches miss.
Phase 2: Planning
Primary tool: Claude or ChatGPT
With research done, I structure the piece. Here's my actual outline prompt:
"I'm writing a 2000-word article about email automation for small e-commerce businesses. My audience is store owners who've heard about automation but haven't implemented it—they're skeptical but curious.
Create an outline that:
- Opens with addressing their main concern (usually time/complexity)
- Builds to specific actionable advice
- Includes sections for 'what to do first' (they need easy wins)
- Ends with practical next steps
For each section, suggest 2-3 key points to cover."
Notice how specific this is: word count, audience psychology, structural requirements, and what I want for each section. Vague prompts get vague outlines.
I rarely use the AI outline directly. It's a starting point. I rearrange, add sections, remove others. But having that structure accelerates my thinking.
Phase 3: Drafting
Primary tool: ChatGPT with my voice trained
Here's where it gets interesting. I don't ask AI to write the whole article. Instead, I write section by section, using AI to overcome blank-page paralysis.
The Section-by-Section Method
For each section in my outline, I either:
- Write it myself if I know exactly what to say
- Use AI to generate a draft if I'm stuck
- Use AI to expand bullet points into paragraphs
When I use AI for drafting, my prompt includes heavy context:
"Write a section (about 300 words) for this outline point: 'The biggest mistake with email automation—setting it and forgetting it'
Context: This is for skeptical e-commerce owners who think automation means fire-and-forget.
Tone: Conversational, slightly contrarian. I want to surprise them—acknowledge their expectation then subvert it.
Include: One specific example of what happens when you don't maintain automations."
Custom Instructions Matter
My ChatGPT Custom Instructions include my voice preferences: conversational but not sloppy, specific examples over abstractions, skeptical of marketing truisms, preference for short paragraphs.
With these set, drafts already sound closer to me. Less editing required later.
Phase 4: Editing
Primary tool: My brain + Hemingway Editor + Grammarly
This is where AI takes a back seat. Editing is where my voice and judgment matter most.
First Pass: De-AI-ifying
Any AI-generated sections need human fingerprints. I read through specifically looking for:
- "Leverage" and "utilize" (replace with simple words)
- Lists of three adjectives (AI loves these)
- Overly balanced "on one hand... on the other hand" structures
- Generic transitions ("Furthermore," "Moreover")
- Anything that sounds too safe or hedge-y
I rewrite these in my own words. Sometimes entire paragraphs. The goal: someone who knows my writing shouldn't be able to tell which parts started as AI.
Second Pass: Clarity and Flow
Hemingway Editor catches long sentences and passive voice. Grammarly catches errors and awkward phrasing. Neither is AI-powered in the generative sense—they're just helpful tools.
AI for Specific Editing Tasks
I do use AI for specific editing tasks:
- "Suggest 5 stronger alternatives for this weak headline: [headline]"
- "This paragraph is too long. How might I break it up while maintaining flow?"
- "What's missing from this conclusion? What might readers still wonder?"
Phase 5: Optimization
Primary tool: ChatGPT for meta content
Once the article is polished, AI helps with optimization:
- Meta descriptions: "Write 3 meta description options (max 155 characters) for this article. Hook readers while including the keyword 'email automation'."
- Social snippets: "Write 3 Twitter-length summaries that would make someone want to click."
- Internal linking suggestions: "Given this article about email automation, what related topics should I link to?"
These are tasks where AI is genuinely faster and often better than me. I'm not emotionally attached to meta descriptions—let AI handle them.
Total Time Investment
For a 2000-word article:
- Research: 20-30 minutes
- Planning: 10-15 minutes
- Drafting: 45-60 minutes
- Editing: 30-45 minutes
- Optimization: 10-15 minutes
Total: About 2-2.5 hours
Before AI tools, the same article took 4-5 hours. The time savings are real, but more importantly: the quality is often higher because I spend less energy on grunt work and more on thinking.
What I Don't Use AI For
Equally important—what I never delegate to AI:
- Personal anecdotes (those must be real)
- Specific opinions and hot takes (those must be mine)
- Final judgment on whether something is good enough
- Understanding what the client/audience actually needs
AI is the engine. I'm still the driver.
Build Your Own AI Workflow
Explore tools that might fit your creative process.
Browse AI Writing Tools →Julian Rossi, MBA
AI Commercial Strategy & ROI Analyst
Technology venture consultant and enterprise software analyst evaluating commercial AI adoption, workflow automation, and SaaS unit economics.
Explore 500+ Curated AI Tools
Discover the latest generative AI software, autonomous coding assistants, and machine learning platforms.
Browse AI Directory