AI Agent Team Builder
Eight AI agents run my business every day. Now I help others build theirs.
Not demos. Not prototypes that sit on a shelf. Eight agents across four departments — sales, content, operations, personal ops — producing real output every day. I learned what works by building this myself, and I'll help you do the same.
300+ apps shipped · 8 agents running daily · documented in public
Meet the Team
Eight agents. Four departments. One human. Daily output.
The Backstory
From 300+ apps and enterprise builds to AI agents.
I spent a decade as one of the top low-code developers in the game — over 300 applications built, including real estate construction management for Walmart and financial compliance systems for Oracle. Complex, high-stakes work that normally required teams of ten.
Then I pivoted into outbound sales and growth strategy, spending another decade learning how to find, reach, and convert B2B clients. I understood the workflows deeply — but I also knew how painfully manual they were.
When the agentic era arrived, something clicked. Through vibe coding and AI-assisted development, I could suddenly build incredibly sophisticated business applications at a pace that previously would have required a full engineering team. That realization is what led to the agent team running my business today — and why I now help others do the same.
Why This Exists
I started building AI agents to solve my own problem — running outreach, marketing, and ops as a solo founder. One agent became two, two became four, and eventually a full organizational model emerged: departments, handoffs, delegation chains, and a human in the middle directing the whole thing.
Today it's eight agents. Scout, the watering hole finder, locates and qualifies prospects. Tim, the comms artist, handles outreach and CRM. Ghost curates and writes content. Marni, our social butterfly, distributes it everywhere. Penny builds client packages. King, the seasoned money guy, tracks finances. Suzi — the real boss — keeps me organized. And Friday, my right hand robot, orchestrates the whole operation.
The model is explicit: each agent owns one domain, departments hand work to each other in clear pipelines, and nothing ships without a human in the loop. The patterns that survived months of building and breaking are the ones I now teach.
What would your agent team look like?
What You Get
Patterns that took months to figure out.
Agent Architecture
“One agent, one domain” — the rule that fixed everything. Eight agents organized into four departments: MarkOps (Scout + Tim), ContentOps (Ghost + Marni), FinOps (Penny + King), and Utility (Suzi + Friday). Clear ownership, clear handoffs.
Human-in-the-Middle
Not fully autonomous. Not fully manual. Agents draft, research, and execute. You review, approve, redirect. This is the pattern that produces reliable output — not demos.
Daily Operating System
Crons, heartbeats, work queues — the infrastructure that turns a prototype into a system that runs every morning. Not a one-time build. An operating rhythm.
From the Build Log
I've been documenting the whole journey.
These aren't hypothetical — they're articles from building this system in public.
How It Works
From zero to working agents.
Scoping Call
What do your agents need to do? What’s your stack, your workflow, your bottleneck? We map the architecture together.
Build Together
Pair-building, not consulting theater. You and your team build your first agents, set up the infrastructure, and learn the patterns hands-on.
Running System
You leave with agents that work. Real tools, real APIs, real daily output — and the knowledge to keep building after the engagement ends.
Good Fit?
This makes sense if…
You’ve tried ChatGPT wrappers and want agents that actually do work autonomously
You have a specific business process you want automated — outreach, content, ops, scheduling, finance
You want to learn the architecture, not just rent a tool that disappears when the subscription ends
You’re founder-led or a forward-thinking corporate small team who needs leverage, not a 6-month enterprise engagement
You’re technical enough to understand the importance of code and the need to move beyond it
You want agents that talk to each other — real pipelines, handoffs, and department structures
You’ve heard about what OpenClaw and other agentic platforms are doing and want to get ahead of the curve without wasting time or risking your business
Govind Davis
300+ applications built. Rapidly deployed low-code enterprise systems for almost 20% of the Fortune 100, including Walmart and Oracle. Scaled MCF Technology Solutions to multi-millions and 75 people. A decade of B2B outbound and growth strategy. Now I run Strattegys — where eight AI agents handle sales, content, operations, and finance every day. The system I teach you to build is the one running my business right now.
Ready to build your agent team?
15 minutes. No pitch deck, no sales theater. Tell me what you're trying to automate and I'll tell you exactly how I'd architect it.