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Tiny AI Agents

Unlock the Potential of Tiny AI Agents


In today’s digital landscape, there’s an incredible opportunity to create and profit from small, specialized AI agents. These “Tiny AI Agents” deliver immense value without the complexity or scale of full-blown autonomous AI systems.


In this guide, I’ll show you step-by-step how to build these AI agents and transform them into thriving online digital products. The best part? Each individual AI agent can generate three distinct income streams for you!

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What Are Tiny AI Agents?

Before diving into the technical aspects, let’s clarify what a “tiny AI agent” is.

A tiny AI agent is a specialized, pre-built system designed to perform specific tasks based on defined parameters and inputs. Unlike comprehensive AI systems, these agents are:

  • Task-oriented: They excel at a single task.
  • Quick to build: Development can take just a few hours.
  • High-value: They effectively solve real-world problems.
  • Easy to monetize: They can be packaged as diverse digital products.

While some may argue these are more “AI workflows” than true agents (since they lack full autonomous reasoning), their real significance lies in their ability to deliver quick and impactful results.

For those interested in creating fully autonomous agents with reasoning capabilities, check out my detailed guide.

The Core Engine: LLM Router

The secret sauce behind these tiny agents is the LLM Router—a decision-making module that selects the best course of action based on user inputs.

This functionality, now available in my open-source Python package SimplerLLM, enables even non-experts to build these agents with ease. Here’s how it works:

  1. Takes user input
  2. Analyzes input against predefined templates
  3. Chooses the optimal path for processing
  4. Directs the workflow accordingly

This method allows tiny agents to make intelligent decisions without requiring complex autonomous systems.

A Practical Example: Tweet Generator

Let’s put theory into action with a simple example—a tweet generator. This tiny AI agent pulls content from sources like YouTube videos, blog posts, or raw text and transforms it into engaging tweets tailored to your personal style.

This agent has three core components:

  1. Content Input — What the tweets will be about
  2. Templates — Tweet structures proven to perform well
  3. Profile — Your personal style, background, and voice

Step 1: Set Up The Core Components

First, let’s import the necessary libraries and set up our environment:

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Step 2: Define Our Models

Next, we’ll define the structure for our input sources and output:

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Step 3: Extract Content From Different Sources

Our agent needs to be flexible in accepting content from various sources:

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Step 4: Implement The LLM Router For Template Selection

This is where the magic happens – the router analyzes the content and selects the most appropriate tweet templates:

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Step 5: Generate Tweets Based On Content, Templates, And Profile

Finally, we use the selected templates and profile to generate personalized tweets:

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Step 6: Putting It All Together

Our main function orchestrates the entire workflow:

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With just these few components, we’ve built a functional AI agent that:

  1. Takes content from multiple sources
  2. Analyze it to select appropriate templates
  3. Generates personalized tweets in your voice
  4. Returns ready-to-use content

Expanding the API Monetization Approach

✅ Self-Hosting vs. API Marketplaces – While RapidAPI is a great option, consider hosting your API on your own platform (e.g., using Stripe for payments). This avoids marketplace fees and gives you full control.

✅ Subscription Models – Instead of just usage-based pricing, offer monthly or yearly plans with added benefits (e.g., priority access, advanced features).

✅ Freemium Upsell Strategy – Let users test your API for free with limits, then guide them toward premium plans.

✅ Affiliate Partnerships – Partner with other developers or platforms and offer commission-based referrals for API subscriptions.

Are you currently listing APIs on RapidAPI, or are you looking to set up your own monetization system? 🚀

2. Building a SaaS with WordPress

Another effective way to monetize your AI agent is by turning it into a Software-as-a-Service (SaaS) using WordPress. This approach allows you to create a user-friendly platform without heavy coding.

How to Set It Up:

  1. Set up a WordPress site with a membership or subscription plugin.
  2. Build an interface where users can interact with your AI agent.
  3. Implement a token/credit system to manage usage limits.
  4. Market your SaaS to attract paying users.

Why the SaaS Model Works:

✔️ Recurring Revenue – Earn consistent income through subscriptions.
✔️ Customer Ownership – Build direct relationships with users.
✔️ Scalability – Add more AI tools over time to increase value.

By combining WordPress with the right plugins (like myCred for credits or MemberPress for subscriptions), you can turn any AI agent into a profitable SaaS business.