🏠 This guy is running 14 OpenClaw agents to do marketing

GM! It’s Brett. In the past, if I had an idea for an app, I would write strategy docs because I couldn’t build.

Then I learned design. Then I learned to code (vibe). It took years.

Yesterday I rebuilt our entire landing page. It’s better than the one we paid $100K for.

That’s the shift, the only real bottleneck left is you.

Anyway, let’s get to it.

This founder is running 14 OpenClaw agents to do marketing for his startup.

Here’s how he structured it.

He talks to just one agent: Jarvis. Jarvis is the orchestrator, who delegates everything to specialist agents.

Instead of one overloaded AI trying to remember marketing, dev, SEO, content and analytics, he created focused roles. One agent only does social media. One only does SEO. One explores the product like a real user. One designs. One develops.

Every 15 minutes, all agents check a shared dashboard called “mission control.” If something new appears, they jump in. SEO adds keywords, design suggests layout improvements, dev suggests features, research creates a detailed deliverable before marking anything complete.

He even gave them analytics access. Jarvis spotted 50k visitors but only ~50 trials per month. That triggered a full product exploration, landing page audit, pricing suggestions, testimonial fixes and even a pricing calculator idea.

The agents built their own dashboard to coordinate. It’s basically a small marketing team that runs itself.

Watch the full video to see exactly how he set this up and how the agents actually communicate.

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The creator of Claude Code says "coding is solved." And he's right, but only if you've completely rewired how you work.

Most devs haven't. Here's what the 0.01% are actually doing differently:

They're using behavioral scenarios instead of unit tests. Building digital twin environments so agents can break things safely. Getting obsessive about precision because vague specs = bad guesses at scale.

They maintain markdown files with business context, decisions, and constraints so when the AI drifts mid-session, they don't re-explain everything from scratch. They do legacy archeology on brownfield code, reverse-engineering all the implicit "never touch this on a Friday" knowledge into machine-readable specs.

They evaluate outcomes, not code quality. And they treat compute spend like a real budget line.

These aren't just technical shifts. Most of them are mindset shifts. That's why 99.99% haven't made them yet.

Read the full thread here.

Last week’s poll: If you guessed AI-generated… you were right.

🟩🟩🟩🟩🟩⬜️ Yeah (~88%)

🟨⬜️⬜️⬜️⬜️⬜️ Nope (~12%)

Here’s the original.

Micro is a CRM that doesn’t feel like homework and an email client that knows what matters. Simply put, it’s an all-in-one productivity tool that organizes itself so you don’t have to.

LHV is a community-driven, early-stage venture fund backing ambitious founders at the earliest stages.

If you’re building tools that help founders, investors and other professionals who want to be 100x more productive with 100x less work, and you’re interested in advertising with us, send an email over to [email protected] with the subject “Homescreen Ads”