Founder, Gomnee · Attention Ops
Federico Jan
Build attention you own.
I build the systems that make a brand the answer when people come looking: in Google, in ChatGPT, on YouTube. I call the discipline Attention Ops.
The idea
The Attention Ops manifesto
- Ads rent attention. The moment you stop paying, it is gone.
- Feeds borrow attention. The algorithm decides when you get it back.
- Answers earn attention. They keep working for years, every time someone asks.
Attention Ops is building the system that makes you the answer when people come looking. Read the definition →
Now
One idea, a community, and a product.
- GomneeHelps experts turn what they know into answers their customers find. Working with its founding cohort.gomnee.com ↗
- Attention Ops LabA free working group for people building attention they own, in search, AI answers, and YouTube.Join on Skool ↗
- We Dream LabsWhere Attention Ops is defined and argued for: owned attention over rented reach.wedreamlabs.io ↗
Where it comes from
Two years building production agent systems.
As the first engineer behind REMI, Marketing.MBA’s AI GTM operating system. Those lessons shaped everything I build now.
- Tokens in production
- 10B+
- Frameworks in production
- 5+
- Agents developed
- 20+
- Agent runs traced
- Thousands
- Building an Agent Native SEO DepartmentA manager agent and three specialists turned Airtable briefs into Framer articles approved by humans and ready for production, including research, detailed copy, SVG infographics, video embeds, and internal links.Read →
- Building an Enterprise Multiagent GTM Operating SystemThe agent platform behind production GTM work: an internal agent factory, structured company context, specialist teams built for long runs, versioned skills, observable execution, approval gates, and business integrations.Read →
- Ask Your Org: A GitHub Native Company BrainA governed organizational knowledge system that turned scattered company context into a navigable GitHub structure with explicit sources, ownership, freshness, and escalation rules.Read →
Writing
What production taught me.
- Five Decisions That Made My AI Publishing Pipeline TrustworthyWhy I chose local markdown, an explicit approval gate, separate prompt files, durable fallbacks, and verbatim evidence for my publishing workflow.Read →
- My Standard for Production Ready AI AgentsWhat tracing thousands of runs and deploying agents inside a real business taught me about control, observability, approval, and recovery.Read →
- Why I Build Agent Factories, Not Fake TeamsAfter building more than 20 agents, I learned that reliable multiagent systems behave less like artificial teams and more like governed production lines.Read →
- What 13 Autonomous CLI Calls Taught Me About Agent ToolingOne unscripted agent run exposed two bugs and changed how I design command line tools, structured output, errors, and recoverable workflows.Read →
Want to be found for what you know?
That is what Gomnee is for, and it is where my focus is. For anything else, write to fede@wedreamlabs.io.