
Open your LinkedIn feed right now. Count how many marketers are posting about "using AI to 10x productivity." Now count how many of them are actually showing the systems behind the results.
Almost none.
They'll tell you to "use ChatGPT for content creation." They'll share a screenshot of a decent-looking output. They'll post "AI is the future of marketing" with a fire emoji. But they will never show you the actual prompt architecture, the variables, the agent configurations, the modular templates that produce client-ready work on the first attempt.
That's the difference between the marketer charging ₦200,000/month and the one closing $3,000 to $5,000/month USD contracts remotely from Lagos, London, or Toronto.
This playbook is the moat. And right now it's at a giveaway price.
You've been using AI for months now. Maybe a year. And here is what your reality looks like:
You open ChatGPT. You type a prompt. The output is 60% usable. You spend 40 minutes editing it to sound like you actually wrote it. You deliver it to your client or publish it on your channel. It's okay. Not great. Okay.
Next project, same thing. New prompt from scratch. Another 60% output. Another 40 minutes of editing. Another "okay" deliverable.
You've read the Twitter threads about prompt engineering. You've saved 47 "Ultimate Prompt Lists" that you've never opened again. You've tried adding "Act as a senior marketer with 10 years of experience" to the beginning of your prompts and it made approximately zero difference.
Here is what this costs you every single month:
The marketers outearning you aren't more talented. They have better systems.
Here is what separates the ₦200,000/month marketer from the $4,000/month remote contractor:
The ₦200,000/month marketer types prompts. The $4,000/month marketer engineers prompt systems.
Typing prompts means: "Write me an email sequence for a SaaS onboarding flow." Getting back generic content. Editing heavily. Repeating next time.
Engineering prompt systems means: Building a modular email sequence template with variables for ICP, product category, activation metric, tone, and sequence length. Running it once to produce a complete 7-email onboarding flow. Saving the template. Reusing it across every client engagement with different variables. Producing the same quality output in 15 minutes that used to take 3 hours.
One approach is labor. The other is leverage.
This playbook teaches you the leverage approach with every template, configuration, and video tutorial you need to implement it this week.

Module 1: AI Prompting Techniques That Actually Work
Module 2: Agent Mode in LLMs
Module 3: Understanding Prompt Variables
Module 4: Platform-Specific AI Setups
Module 5: The Modular Prompt Template Library
This is the core of the playbook. 40+ production-ready prompt templates organized by marketing function:
Every template includes: the prompt, variable definitions, example input, example output, and iteration instructions for refining the result.
Module 6: Video Tutorials
Bonuses
This is for you if:
This is NOT for you if:
James is a product marketing and GTM operator, not an "AI guru." 7+ years across B2B SaaS companies in Africa, North America, and Europe. Named one of APMP's Top 20 Marketing Leaders in Africa. Has contributed to $10M+ in qualified pipeline at companies like Bujeti and Distrobird.
He builds and uses these AI systems daily for real client work generating real revenue. Every template in this playbook has been tested on actual marketing projects, not hypothetical examples.
Founder of Marketing In Action (MIA), trusted by thousands of marketers across Nigeria and the diaspora. This playbook is the operational backbone of how MIA produces more content, better strategy, and faster execution than teams 5x its size.
Despina Maris, Product Marketer, Europe
"The modular template system changed my workflow completely. I used to write prompts from scratch for every project. Now I swap variables and get 90% there in minutes. My client turnaround time dropped from 5 days to 2 days."
Rainbow Roxy, AI Engineer, US
"I review a lot of AI content from a technical perspective. James's prompt engineering approach is the most production-ready framework I've seen for marketing use cases. The variable system and agent workflows are genuinely sophisticated, not the surface-level 'tip and trick' content that dominates this space."
Choice 1: Keep typing prompts from scratch. Keep editing mediocre outputs for 40 minutes each. Keep watching other marketers close USD contracts while you wonder why your AI workflow isn't producing the same results. Keep losing 2 full working days every month to inefficiency you could eliminate this week.
Choice 2: Invest a small amount today. Spend this weekend setting up your AI environment using the video tutorials. Start Monday with a complete prompt template library, platform configurations, and agent workflows that produce client-ready outputs on the first attempt.
The marketers who are winning are not debating whether to invest in their AI workflow. They already invested. They are already producing 3x to 5x more work. They are already closing the contracts you want.
50% off. For now.
This is 40+ production-ready prompt templates, 4+ hours of video tutorials, platform setup guides for ChatGPT/Claude/Gemini, agent-style workflow architectures, and lifetime updates.
The math is simple: if this playbook helps you take on ONE additional project this month (and it will help you take on several), it pays for itself 10x to 50x over.
Stop prompting like an amateur. Start engineering outputs like a professional. The system is here. Your only move is to use it.