About - Ygor Fonseca
Founder & Systems Lead at Leanboat.
Ygor is co-founder and Systems Lead at Leanboat. He has been writing production software for fifteen years across the same brand portfolio Luis has been growing — BusBuster (co-founder), TheNextGuide, NextBreakout, and the rest of the Leanboat-operated brands.
For Leanboat, he builds and operates the AI-native systems underneath every engagement: per-client knowledge bases that codify the way each brand actually works, agent workflows that run the repetitive production, approval gates that keep humans in the loop on the calls only humans should make, and kill switches that shut a workflow down the moment it starts misbehaving.
The work is engineering, not slideware. Every client engagement runs on top of a system he can rebuild from source.
Articles by Ygor Fonseca
May 22, 2026
An AI-native agency ships a brand-install, not a team. Everything else is org chart.
What does an AI-native services firm actually hand a client? Not a team — a brand-install: a folder of plain text the AI reads on every task. Five components (working hypothesis, locked rules, instructions index, memory index, kill switch), one weekly self-improvement loop, and the moat that lives in the catalog. Series B (Codified Engagement), post 1 of 4.
May 21, 2026
From framework to install: wiring a self-improving content loop into your team's files
Companion to How AI-native growth teams build a self-improving content engine. Where that post covered what Blomfield's five-layer loop does at the workflow level, this one covers what installing it looks like at the file-system level — sensor, policy, tool, quality gate, and learning layers as files in a folder, the install order across the first month, the wiring that loads the right slice on every task, and four failure modes that break it.
May 14, 2026
A pull-request culture for knowledge. The discipline AI-native marketing teams are converging on.
At Speero Circus 2026, three independent talks landed on the same shape: AI generates knowledge fast, but unreviewed AI output becomes organizational truth. The discipline AI-native marketing teams are converging on is a pull-request culture for knowledge — labeled reviewer, pass/fail signal, back-edit before merge.
May 10, 2026
An AI-native agency installs a nervous system, not a deliverable
Garry Tan published an essay on his personal AI setup — what he calls the difference between having a filing cabinet and having a nervous system. The same architecture works at brand scale. Most brands cannot install it themselves. The right test of an AI-native engagement is what is still running in the repo six months after the agency stops billing.
May 8, 2026
Every AI-native services firm has a name on its method. The naming is the moat.
Three AI-native services firms in three different verticals are publishing the same artifact in 2026 — a named operating method, in writing, on the public site. The naming is not a brand-voice flourish. It shortens the sales cycle, pre-filters operator hires, justifies productized pricing, and makes the firm defensible against agencies that cannot be lined up on a comparison page.
May 7, 2026
If your AI marketing feels like a chat window, the function was never written down.
Most 'AI for marketing' rollouts in 2026 feel like working for a chat window — the operator types, edits, ships, repeats, and the work never compounds. The fix is not a better model. It is writing the function down well enough that an agent can run it. Two installs from inside our own work, plus the same shape applied to B2B SaaS.
May 1, 2026
Hierarchy was never the goal. It was the workaround.
Two thousand years from the Roman contubernium to your current org chart, the constraint hasn't moved. Block just published the first public-company manifesto for what comes after — and the implication for everyone smaller than Block matters more than the headline did.
April 29, 2026
Pick a service. There's already an AI-native version of it.
In one quarter, six AI-native services companies hit valuations totalling north of $20 billion. The architectural pattern underneath all six is the same — and marketing is the lagging vertical.
April 27, 2026
The 15-person AI-native services company. Its name is Every.
Every employs 15 people, ships five products, runs a daily newsletter and a $1M consulting business, and writes 100% of their code with AI. The architecture is documented. Here is what 15 people now ship.