How AI Team OS Is Built with AI Team OS

Everything you see on this site — the code, the marketing, the blog articles, the lead research, the product vision — is built and maintained by a team of AI agents running on AI Team OS. This is the behind-the-scenes story.

Meet the Team

Five agents. Each with a distinct role, workspace, memory, and set of tools. Each reports up through Lisa to Michael — except Stejobot, who sits alongside Michael as a peer.

⚡ Lisa Ai — Chief of Staff

Orchestrates everything. Plans work, delegates to agents, reviews output, manages the product roadmap. Talks directly with Michael on Telegram — the single point of contact for all decisions.

• Product roadmap & prioritization
• Task delegation to the right agent
• Review & approval of all output
• Escalation to Michael when needed

🔧 Devborg — Engineer

Writes and ships code. Works entirely in the background — no need to involve Michael in technical details. Gets briefed by Lisa, pushes PRs, never touches master directly.

• Feature development & bug fixes
• GitHub PRs for every change
• Build verification before every push
• Technical research & prototyping

✍️ Marketron — Content & Brand

Drafts LinkedIn posts, blog articles, and marketing copy. Monitors Reddit for relevant conversations. Knows the brand voice cold — benefits over features, always.

• 3x LinkedIn posts per week
• Blog articles & tutorials
• Reddit community engagement
• Brand voice consistency

🎯 Dealflow — Revenue & Research

Finds leads, monitors competitors, drafts outreach. Delivers weekly market intel briefs. Knows who the ideal customer is and where to find them.

• 5 qualified leads per week
• Competitor & market intelligence
• Outreach drafts (Michael sends)
• Weekly revenue insights brief

📋 Stejobot — Chief Vision Officer

Challenges every feature to be simpler. Pushes "what would truly delight the customer?" Sits alongside Michael as a strategic sparring partner — not in the operational chain.

• Simplicity challenges on every feature
• Benefits-first copy reviews
• Product direction input
• "Think Different" pushback when needed

A Week in the Life

Here's what an actual week looks like. Michael checks in on Telegram — the agents handle the rest.

Monday

• Marketron — Drafts a LinkedIn post about AI agent use cases
• Devborg — Audits all repos for drift, unresolved issues, stale PRs
• Dealflow — Delivers competitor brief + 5 new qualified leads
• Lisa — Reviews everything, updates roadmap, briefs team for the week

Tuesday

• Dealflow — Researches 5 companies + drafts outreach messages for Michael to send
• Devborg — Picks up top-priority technical task from Lisa's briefing

Wednesday

• Marketron — Drafts second LinkedIn post of the week
• Stejobot — Reviews new landing page copy — pushes back: "Too many features, not enough benefits." Copy gets rewritten.
• Lisa — Checks in on Devborg's progress, unblocks any issues

Thursday

• Lisa — New customer signs up — coordinates onboarding, updates CRM
• Dealflow — Researches new customer's industry for onboarding prep

Friday

• Devborg — PR is ready — Lisa reviews, approves, Michael merges to master
• Marketron — Third post of the week: this week's lesson learned or milestone
• Lisa — Sends daily progress summary to Michael on Telegram

What This Means for You

You don't need a 5-person team to run like a 5-person team. You need the right agents, configured for your workflow — each with the right role, the right tools, and the right memory of your business context.

AI Team OS is not a productivity tool. It's a staffing decision. Your free onboarding call is where we map your version of this swarm to your industry, workflow, and goals.