Every few decades, a tech shift creates an entirely new business category.
Personal computers created software companies. Internet created web agencies. Smartphones created app dev etc ...
Right now, we're watching the same with autonomous AI agents. And many are completely missing it. To busy arguing about whether AI will take their jobs. Better be a builder and position yourself to capture this wave of wealth creation.
What's happening rn
For the past two years, AI has been stuck in "chat mode." You ask a question, you get an answer. You paste some text, it summarizes it. You describe an image, it generates one etc ...
Real innovation happened recently when AI became a tool you use and started working for you.
An autonomous agent doesn't wait for your prompts. It runs continuously. It connects to your tools. It takes actions on your behalf. It remembers everything. It learns your preferences. It executes tasks while you sleep.
@openclaw and similar frameworks have exploded in popularity over the past few months. We're talking about the fastest-growing repositories in GitHub history.
The community is building skills and integrations faster than anyone can keep track of.
But here's the thing! 95% of potential users will never set this up themselves.
The Gap
Every platform shift creates the same pattern. The technology is powerful, but it's complicated. The documentation is extensive, but it assumes technical knowledge. The potential is obvious, but the path to get there isn't.
That gap between power and accessibility is where fortunes are made.
Think a bit about it:
WordPress is free, but people pay thousands for someone to build their site
Shopify is simple, but Shopify experts charge $10k+ for store setups
No-code tools are everywhere, but no-code agencies are printing money
The value isn't in the technology, it's the implementation.
Developers will profit the most. Developers who understand APIs, Docker, system administration, and can write code. You can build the most sophisticated wrappers and charge premium prices.
Technical marketers can also benefit by writing prompts, understanding workflows, and knowing how to package and sell digital products. You can create configuration packages that non-technical users can deploy.
Niche experts who deeply understand a specific industry (fitness, real estate, content creation, e-commerce) can also benefit. You know the workflows, the pain points, and the language. You can create agents that actually solve real problems.
Best wrappers won't come from the best engineers. They'll come from people who understand their target customer's daily workflow better than the customer understands it themselves.
This opportunity won’t last because the market is still fragmented and wide open, no dominant player yet.
But in 12–18 months, big companies, VC-backed startups, and strong frameworks will take over, and the “easy” plays will become commoditized.
There are four distinct business models for selling pre-configured autonomous agents. Each has different requirements, profit margins, and scalability characteristics.
Model 1: The Configuration Kit
You sell a bundle of configuration files, prompts, and documentation that customers use to set up their own agent.
What you're selling:
Pre-written SOUL and AGENTS files (the "personality" and "behavior" configs)
Custom skill files for specific tasks
Optimized system prompts
Step-by-step installation guide
Access to a Discord community for support
The tech requirement is low. You need to understand the framework well enough to configure it, but you're not hosting anything.
Configuration Kit: $50-$200
Pros: Zero infrastructure costs, fast to launch, good for validating demand
Cons: High support burden, no recurring revenue, easy to copy
Best for: Testing a niche quickly, building initial customer base
Model 2: The Docker Image
You package everything into a container that customers deploy with minimal configuration. They just add their API keys and it works.
Configuration Kit: $100-$500
Pros: "It just works" experience, lower support, can charge more
Cons: More technical work, need to maintain the image
Best for: Technical founders who want a productized offering
Model 3: The Hosted SaaS
You run the infrastructure. Customers just sign up, connect their accounts, and start using their agent immediately.
Configuration Kit: $30-$200/month
Pros: True recurring revenue (MRR), highest customer value, strong moat
Cons: Significant complexity, infrastructure costs, need great support
Best for: Teams building a real company, or solo devs going all-in
Model 4: The Skills Marketplace
You create individual "skills" that other agent users can install to extend their setup.
Cost: $10-$100 per skill
Pros: No infrastructure, build a portfolio, marketplace handles distribution
Cons: Lower revenue per sale, platform dependency
Best for: Side income, or complement to other models
My recommendation
Start with Model 1 (Config Kit) TO validate the market fast with zero infrastructure.
Then graduate to Model 2 (Docker) once you have paying customers.
And consider Model 3 (SaaS) only if you see strong demand and want to build a real company.
Build a content creation agent step by step
Let's get concrete. Let's walk through exactly how to build and package a content creation agent. This is one of the highest-demand niches.
Before you build anything, you need to understand who we're building for.
Target customer:
Creates content regularly (3+ times per week)
Spends 10+ hours per week on content production
Has an established voice and style they want to maintain
Uses multiple platforms (Twitter, newsletter, YouTube)
Values their time at $100+/hour
What we're selling is shifting from 80% of his time on production to 80% on ideas.
Voice profile system is the most important part of the entire system. Generic AI content is worthless. The only way this works is if the agent can write in the customer's actual voice.
Step 1: Collect 20-50 examples of their best-performing content
Step 2: Analyze patterns (vocabulary, tone, structure, formatting)
Step 3: Create a structured voice profile
Step 4: Calibration loop until customer says "this sounds like me"
Example of a daily workflow:
Examples of packaging you can sell:
This moment matters!
The technology for autonomous agents is mature enough to be useful, but new enough that the market is wide open.
The people who move now will have a 12-18 month head start on everyone else.
They'll build customer bases while others are still figuring out the technology. They'll have refined products while others are launching v1. They'll have recurring revenue while others are starting from zero.
Every major platform shift has followed this exact curve. The window opens, early movers capture disproportionate value, the window gradually closes as the market matures.
You can DM me if you need help or need an AI agent configuration.
