Introduction.
How to Build and Sell AI Agents.
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| How to build and sell AI Agents |
There are AI agents everywhere now a days.
And you know what?
They are no longer limited to large tech firms or companies any more.
You are able to create one now. One can sell all the agent he create. And it's much simpler than you might imagine.
No doctorate. No code skills but you can still create it.
All you need is a straightforward strategy, a few astute tools, and a market willing to buy with their money for anything that saves them time.
Here's how to create an AI agent.
Step 1: Find a Profitable AI Agent Idea.
The first mistake? People create agents without knowing if anyone will want them.
You don't have to guess.
You need to identify issues that AI can solve.
This two ways can help to find winning ideas:
Use AI to analyze workflows
Take a familiar process (for example, content creation, marketing, or customer support).
Ask AI, "Where can I automate this?"
Example: a YouTuber's workflow. AI identifies automation gaps in scriptwriting, video editing, comments, content ideas, and engagement.
Boom. You now have a list of agent ideas.
find what’s already working and improve it.
Go to AI agent marketplaces (like FuturePedia, Agent.ai)
Check what’s selling or what more people like to use.
Look for gaps and opportunities in the marketplace.
Find agents with high demand, weak competition, or bad UX/UI AND improve on them and Offer something better.
Once you have an idea, let move to step 2.
Step 2: Build Your AI Agent.
You only need a simple agent who does one thing well. Most people make things more complicated than necessary. You don't need a complex system; a basic agent who excels at one task would suffice.
Keep it simple:
Determine the specific procedure that your AI agent will manage.
Break it down into exact steps.
Utilize AI to create the agent for you.
For example, consider a YouTube comment-handling agent, YouTube transcript getting AI agent.
Artificial intelligence agent that extracts comments from your channel.
AI agent classifies them into questions, feedback, spam, etc.
AI agent generates responses in your style.
Prior to posting, you must approve or make changes to it before it post.
That is it. One task. Done effectively.
Again the YouTube transcript AI agent get the YouTube video transcript.
Remove the timestamp and summaries or turn it into a blogpost.
You can review it and post it or use it you wish.
So, how do you build it?
You can Build it By Coding Your an AI Agent.
If you know coding use this:
Use VS Code + AI extensions like Cline or Roo Code.
You can also try Cursor AI or Windsurf or Bolt.new
If you don’t know coding do this:
Use no-code platforms like bubble, make.com, n8n, etc, or hire someone cheaper to create it for you.
Here’s a real example:
An AI that summarizes YouTube videos in bullet points.
It uses SearchAPI to acquire transcripts.
OpenAI is used to summarize.
Within seconds, the system creates a clear summary or create a blogpost for you.
Convenient. Quick. Effective.
Step 3: Sell Your AI Agent and Make Money.
You have two ways to make money with AI agents:
1. You can sell as a service
Give your AI agent as a freelancing service (either through Upwork, Fiverr, or Twitter DMs).
Example: "I'll automate your YouTube comments so you never have to respond manually again."
"I'll automate how you get YouTube transcript and also turn it into a blogpost.
Charge a flat price or a monthly retainer price.
2. Turn it into a product
Micro-SaaS products are a clever way to transform concepts into tools that are easy to use. For instance, a YouTube video conversion tool with a straightforward user interface can be packaged as a micro-SaaS on websites like WordPress or Webflow. With this method, users can quickly access the service, make money, save time, and comprehend video content. In addition to filling a need, this strategy creates new prospects in the expanding field of user-friendly online tools.
But how to sell it?
Focus on social listening to effectively market AI solutions. Look for people on sites like Reddit, Twitter, and Quora who are complaining about issues your AI resolves, and then interact with them by offering your agent. Additionally, use cold direct messages to connect with companies and content producers who require automation.
Sharing case studies and demos on YouTube, Medium, LinkedIn, and Twitter can help you build an audience, which is also very important. It can also work well to launch on AI directories such as FuturePedia and Product Hunt. In the end, AI agents are not enigmatic technology; rather, they are instruments created to address pressing issues in the real world, and there is a tremendous need for these solutions. Focus on creating something that saves time, generates revenue, or eliminates costs because people are willing to pay for results.
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