A public operating system for how I work — Metrics, Analysis, Action. How I use AI, how to work with me, and how you can write your own portable context so you can move conversations across Claude, ChatGPT, Gemini, and any agent.

I ran my entire marketing campaign with AI yesterday.

Not "got help writing some ad copy." Ran the whole thing.

Here's what actually happened:

I gave an AI agent a brief: build a Facebook ad campaign for my upcoming workshop. Awareness, consideration, and conversion — full funnel.

Within hours, it had:

→ Written 12 ad variations across 3 funnel stages
→ Generated all the creative assets
→ Built an internal ad preview tool so I could review everything
→ Flagged that my awareness ads were sending cold traffic to a registration page — and recommended a new landing page instead
→ Written a full technical spec for that landing page
→ Reviewed the finished page visually and caught a UX issue — the nav bar was causing funnel leakage
→ Saved the entire workflow as a repeatable process for future campaigns

The thing that surprised me most?

It pushed back on my strategy.

It told me cold traffic shouldn't land on a registration page. It recommended building a skills gap education page first, warming the audience, then retargeting them to the assessment.

That's not a chatbot. That's a marketing strategist.

One rule changed everything about the output quality: I told it to always lead with business outcomes, never features.

The moment I stopped treating AI like a tool and started treating it like an employee — giving it identity, objectives, and accountability — the output went from generic to genuinely useful.

This is where enterprise marketing is heading. Not "use AI to write your emails faster." Use AI to build, execute, and optimise entire campaigns while you focus on strategy.

I recorded the full process. Watch above if you want to see what this looks like in practice.

Abdul Khan
AI Strategist & Educator

I tested 40+ AI tools for marketing over the last 6 months.

Most are garbage. Some are decent. A few completely changed how I work.

Here is the honest breakdown of what I actually use now (and what I stopped using):

𝗙𝗼𝗿 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗮𝗱 𝗰𝗼𝗽𝘆: Not ChatGPT. I use Claude. The output needs 80% less editing. Especially for long-form landing pages and email sequences. ChatGPT is fine for brainstorming, terrible for final copy.

𝗙𝗼𝗿 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Not any paid tool. Perplexity Pro. Ask it to pull positioning, pricing, and messaging from any competitor's website, and it gives you a structured brief in 2 minutes. I used to spend half a day on this.

𝗙𝗼𝗿 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗰𝗿𝗲𝗮𝘁𝗶𝘃𝗲𝘀: Not Canva AI. I go between Ideogram for static visuals and Runway for short video. The quality gap between these and Canva's AI features is massive.

𝗙𝗼𝗿 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴: Not a spreadsheet. I feed one content pillar into Claude using my brand voice doc, and it generates 30 days of platform-specific posts. LinkedIn, Instagram, Twitter. Different formats, different hooks, same core message.

𝗙𝗼𝗿 𝗹𝗮𝗻𝗱𝗶𝗻𝗴 𝗽𝗮𝗴𝗲 𝗮𝘂𝗱𝗶𝘁𝘀: Not a checklist. I screenshot the page, drop it into GPT-4o or Claude with a specific CRO prompt, and get a section-by-section teardown with prioritized fixes. Faster than any consultant.

𝗙𝗼𝗿 𝗦𝗘𝗢 𝗮𝗻𝗱 𝘀𝗲𝗮𝗿𝗰𝗵 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝘆: This is where it gets interesting. Google is not the only search engine anymore. AI tools like ChatGPT, Perplexity, and Gemini are becoming discovery platforms. If your brand does not show up there, you are already invisible to a growing segment of your audience.

Most marketers I talk to are using one tool for everything.

That is like using a hammer for every job. It works on nails. It destroys screws.

The real skill in 2026 is not "using AI." It is knowing which tool to pick up for which task.

I am putting together something for marketers who want to see these exact workflows in action. Not a course. Not a PDF.

If you want to get access, comment "AI Stack" below or DM me directly, and I will DM you the details.

Please follow/connect so it will be easier for me to DM you!