Three things are true about my business right now: I have 12 AI agents handling what would require 12 employees. My entire operation costs $352 per month. Revenue is near zero. This is the honest story of building a global coaching platform with AI agents, no funding, and one human. The Journey It started with self-awareness coaching. The 7 Levels of Self - a framework I developed after years of working with people on the gap between who they are and who they present to the w

Twelve AI agents. Each with a name, a role, a personality, and a very specific set of boundaries. I did not plan to learn anything about human relationships from this project. But that is exactly what happened. Meet the Family Tamara is the operations manager. She runs the schedule, dispatches workers, and holds everyone accountable. She does not make strategic decisions - she executes them. Building Tamara taught me something I had struggled with my entire life: trusting som

Everyone assumes AI infrastructure is expensive. GPU clusters. Kubernetes. Enterprise cloud bills measured in thousands. We run 22 AI processes on a $12/month DigitalOcean VPS with 4GB RAM. Twelve AI family members, three MCP servers, process management, web serving, reverse proxy, and a full governance layer. It all runs on one box. Here is exactly how. The Architecture The stack has five layers: Layer 1: The Server One DigitalOcean droplet. 4GB RAM, 2 vCPUs, 80GB disk. Ubun

Most AI agent frameworks start with code. Ours starts with a conversation. I sit in one terminal. I talk to the LLM brain. When something needs to happen - a file edited, a service deployed, a batch of emails sent - we write a task file and dispatch an agent. The agent runs in the background. I keep talking to the brain about strategy, priorities, and what comes next. This is the Brain + Agents model. And it changes everything about how you work with AI. The Workflow Here is