A Company Run by 10 AI Agents: The Full Blueprint (24/7, Humans in Charge)

What if a company had ten employees who never sleep? 🤖 Ajay Bongani (AJ DevOps Solutions) walks through the full blueprint for a company run by ten AI agents — with two humans still in charge. Using an illustrative online training company, NimbusLearn, we cover why specialist agents beat one "super agent", the org chart, the anatomy of every agent, the architecture (events, task queue, orchestrator, MCP tools, shared knowledge base), a day in the life, each team's agents and their hard limits, the reviewer agent that blocks a prompt-injection refund, least-privilege permissions, the human approval inbox, what "24/7" really means, observability, failure modes, and how to start with just three agents. Note: this is a blueprint you can build with today's tools — no fake revenue screenshots or invented results. 💬 Which job would you give to an AI agent first — sales, support, content or finance? Comment below. ⏱️ CHAPTERS 0:00 10 AI agents, 2 humans in charge 0:34 An honest note 1:01 Why 10 agents, not 1? 1:28 The org chart 1:56 Anatomy of every agent 2:25 The architecture 3:04 A day in the life (24/7) 3:41 Agent #1: the orchestrator 4:09 The growth team (#2–#4) 4:37 The customer team (#5–#6) 5:05 The operations team (#7–#9) 5:37 Agent #10: the reviewer 6:13 Who can touch what (least privilege) 6:44 The approval inbox 7:11 The truth about 24/7 7:39 See everything (observability) 8:05 What breaks in real life 8:36 Start with 3 agents, not 10 9:06 The whole company on one screen 9:32 Recap + next For practical Cloud, DevOps and AI Platform engineering content, follow AJ DevOps Solutions. #AIAgents #MultiAgentSystems #AIAutomation #AIBusiness #ClaudeAI #MCP #Startups #AJDevOpsSolutions