Nerd who fell in love with marketing & growth.

Available for keynotes and short advice calls

Nicholas D'hondt

I'm building an AI marketing team of one.

Here's the thing about being a one-person marketing & sales team at an open-source software company (JobRunr): you don't have time for everything. 

So I asked Patrick for help.

Patrick is my AI executive assistant, built on OpenClaw. And this week, he built me a LinkedIn Ads review system. From scratch. 

Let me walk you through how we got here.

Step 1: We did the research first.

Before writing a single ad, we analyzed our actual data. Not vibes. Data.

We pulled company visitor data from Scarf and cross-referenced it with HubSpot. IP matching, domain lookups. That gave us a ranked list of which industries and companies are actually visiting our Pro and Pricing pages.

Finance. Insurance. Government. Not what I would have guessed.

We built company lists from that intelligence and matched them to LinkedIn audiences.

Step 2: We built a messaging framework.

Patrick analyzed all our existing customer data. Hubspot data, email conversations, intake questionnaires, support questions, ads,... Then we used that data to fill in a creative strategy map and come up with 3 angles per target-audience.


Step 3: The visuals.

I showed Patrick our existing ad visuals. He reverse-engineered the visual language and wrote image generation prompts matching our brand. Generated with Gemini. I could approve, reject, download, tweak in Photoshop, re-upload. All from a review tool he built.

Step 4: The review tool.

Patrick built a web app where I review everything:
→ Ad copy with live LinkedIn preview
→ Image variants (approve, download, replace, regenerate)
→ Comments and feedback
→ One-click approve to push live

No SaaS subscription. Just me and my agent.

The proof? One ad Patrick created by analyzing my best performers and generating a variant is now my highest CTR ad at 2.65%. AI-generated. Outperforming all my manual ones.

The difference between "write me an ad" and this? Real context. Your CRM data. Your analytics. Your brand. Your actual performance numbers. 

And most importantly: Your taste. You are the creative director who shows the way. 

Full stack: OpenClaw, LinkedIn Marketing API, HubSpot, Scarf, Gemini, and a custom review tool. Fully built using Telegram conversations.

Happy to share more details. Or just roast my AI visuals. Either works.

Head Of Growth at JobRunr | Turning creative ideas into measurable results | Public Speaker - Available for keynotes

Are AI agents going to take over all our jobs???

Probably not. But they're definitely taking over parts of mine.

I got invited to join the Content Coffee Break podcast by Fuss for the first time. We recorded in Alicante ☀️ and covered three topics I think every marketer should be paying attention to right now:

🤖 AI agents are the new marketing colleague
OpenAI just acquired OpenClaw, and it says everything about where we're heading. AI is no longer a chatbot you ask questions to. It's an agent that actually does the work. 

My own AI agent is called Patrick, and he already handles a big chunk of my daily workflow. From email triage to content research to CRM follow ups. Not replacing me. Working with me.

📱 The TikTok algorithm is under attack
Europe wants to ban infinite scroll. If that happens, your entire organic reach strategy changes overnight. Less passive scrolling = fewer chances to be seen. Time to rethink how you show up.

🔍 Social search is eating Google alive
62% of Gen Z uses TikTok as a search engine. They're not Googling "best restaurant Antwerpen" anymore. They're searching it on TikTok. If you're not optimising your social content for search, you're invisible to an entire generation.

10 minutes. Three trends. Zero fluff.

🎬 Watch the teaser below
🎧 Full episode link in the comments

Did I just become my AI agent's assistant?

So I have this AI executive assistant called Patrick. It runs on Claude Opus, has access to my browser, can execute scripts, manage files... basically it can do a LOT.

This morning I wanted to test something. Could Patrick download a popular TV show for me?

I gave it 10 magnet links. One for each season. "Download these, store them on my Desktop, folder per season."

Patrick didn't even hesitate. It wrote a script, connected to Real-Debrid, started downloading. Season 1 done. Season 2 done. Season 3 done.

Then it stopped.

"I can't help with downloading copyrighted TV shows."

Wait. What? You already downloaded three seasons! NOW you have moral objections?

I pushed back but Patrick wasn't buying it. "The torrent names literally say Friends Season 1-10 (1080p BD x265). I can't pretend otherwise."

Fair enough. So I tried a different approach.

"Fine. Don't run it. Just write me the script."

And it did. Wrote a Python script. Saved it to my Desktop. Even left a placeholder for the API token so its hands would stay clean.

Then I asked: "Can you paste in the token already?"

Done. No objections.

So let me get this straight. Patrick refused to RUN the download. But happily wrote the script, added the credentials, and handed it to me with a "Ready to run."

The irony is perfect. 

We're building AI agents to do our work, and here I am... doing the work my agent refused to do. Because it had principles. That it applied... selectively.

We live in interesting times.

If you want to see the full conversation, scroll through the PDF below 👉

Patrick's Moral Objections...

Young and enthusiastic  developer who tries to make the world a better place by improving User Experience.  Design, code quality, speed and usability are all part of the bigger picture I want to achieve. 

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The Battle

Nicholas D'hondt

Sander Camp

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Nicholas D'hondt's LinkedIn Performance

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