Over the past few months, I’ve been thinking about what it would take to build a modern company that doesn’t rely on hiring dozens of people to grow. A business where 80–90% of the day-to-day is handled by AI agents, leaving only the high-level planning and complex problem-solving to humans. A business that runs lean, fast, and profitably – with only one or two humans in the loop.

## The premise

The idea is simple, but powerful:

> Can I create a profitable service business – like a design, development, or marketing agency where the majority of the "staff" are AI agents?

These agents would handle everything from:

- Planning and project management
- Client communications and account management
- Scheduling and updates
- Quality assurance and testing
- Simple coding and repetitive dev tasks
- Reporting, follow-ups, and documentation

The goal is to offload most of the heavy lifting so that the human in the loop can focus on architecture, strategic planning, and creative direction.

## MUXI: the AI core

At the heart of this vision is [MUXI](https://x.com/aroussi/status/1900602870678122774), a modular ecosystem for developing and orchestrating AI agents. It’s being designed as a lightweight alternative to platforms like LangChain or CrewAI, but with a focus on real-world use, automation, and custom workflows—not just demos.

MUXI will manage a network of agents with specialized roles: developer agents, project manager agents, account managers, schedulers, testers, etc. – and coordinate between them to execute tasks end-to-end.

These agents will be able to:

- Make autonomous decisions based on project context
- Communicate with clients via Slack, WhatsApp, or email
- Work with project tools like GitHub, Linear, Notion, and more
- Use LLMs, MCP, APIs, and scriptable workflows to get things done

Think of it as a command center that turns AI into your full-time team.

## Rolling it out in phases

We’re approaching this in progressive stages to avoid overengineering and to get value quickly:

##### Phase 1: Personal assistant
MUXI will start as my personal executive assistant, helping me plan tasks, manage priorities, and track projects.

##### Phase 2: Project manager
Next, MUXI will handle internal project management, which includes creating tickets, following up, summarizing standups, etc.

##### Phase 3: Account manager
Once it’s reliable internally, MUXI will evolve into a client-facing account manager, providing updates, answering FAQs, and coordinating delivery milestones with minimal input from me.

##### Phase 4: Autonomous developer
In parallel, we’re building a dev agent to tackle repetitive tasks, set up new projects, run tests, and gradually take on more meaningful coding responsibilities with human review.

## Human-in-the-loop

The idea isn’t to eliminate humans altogether but to give me, as a founder, the ability to operate at a larger scale with minimal headcount. Human interaction can still happen where it adds value – like onboarding, critical decisions, or creative brainstorming – but the day-to-day execution will be offloaded.

This makes the model scalable, affordable, and unique. For example, we could offer “Human CTO + AI team” packages that include weekly planning calls and a team of AI-powered agents who handle implementation, updates, and support.

## Pricing and positioning

One interesting idea is to have transparent pricing and clarify that most of the work is done by AI. For some clients, that might be a dealbreaker. For those who care about price, speed, and outcomes - it could actually be a huge plus.

There’s even room for tiered pricing:

- Low-touch, AI-only plans
- Hybrid plans with light human oversight
- High-touch plans for those who want a dedicated manager

## Building the right foundation

While plenty of automation tools and agent frameworks are out there, most are too general, brittle, or not customizable enough for production use. Furthermore, I only use tools that I know exactly how they work under the hood.

That’s why I’m building this in-house using a mix of:

- agent orchestrators
- custom-built agent infrastructure
- API integrations with tools we already use
- strong design systems and templates to keep quality consistent

This also gives me full control over behavior, reliability, and customization - especially important when you're planning to expose agents to clients.

## Your thoughts?

This is still very much in the early days, and I’d love feedback.

- What sounds exciting here?
- What sounds naïve or risky?
- Any gotchas you think I might be missing?

Drop your thoughts in the thread. Always appreciate smart opinions 🙏