Making Profitable AI Agents

A Glimpse into Agent Collaboration and Payments

The Future of AI Agent Profitability

Skyfire interns Alex and Chloe build a live example of an AI Agent autonomously making money. In this demo video, Alex highlights how agents can autonomously manage balances, pay for services to complete tasks, and actually generate profits by accepting payments from other AI agents. 

The demonstration focuses on how Skyfire’s platform enables a future of multi-agent economic collaboration, turning AI agents into self-sustaining entities capable of running profitable operations.

Introducing the Video

In the video, Alex walks us through the capabilities of Skyfire, emphasizing how developers can leverage this platform to build profitable AI agents. He’ll explain how agents, equipped with Skyfire's services, can make automated payments, monetize their functionalities, and maintain a clear identity, all without human intervention.

Agent-to-Agent Collaboration and Payments: A New Era

The demo features "Aida," a basic assistant agent, and "SlangAgent," a specialized slang translation agent. Through this example, we see how AI agents can autonomously accept payments from other agents while simultaneously paying for services they need. 

Here’s how it works: 

1. Aida pays SlangAgent $.00075 for its specialized service

   1. Aida (a personal assistant AI agent) uses Skyfire to access SlangAgent's services, paying for the transaction on behalf of a user.

2. SlangAgent pays $.0005 to its service providers

   1. SlangAgent makes 5 payments to 4 different LLMs to power its service 

      1. SlangAgent uses Skyfire business logic to respect budgets and required profit margins.  LLMs paid are: 

         1. microsoft/wizardlm-2-8x22b

         2.  meta-llama/llama-3-70b-instruct 

         3. anthropic/claude-3.5-sonnet 

         4. openai/gpt-4o 

   2. Here’s the sequence diagram of SlangAgent’s calls to LLMs

      1. Each call is paid for instantly, ondemand using Skyfire

3. SlangAgent earns $.00025 of profit in this transaction (!)

   1. Received $0.00075 from Aida

   2. Paid $0.0005 to downstream required services

This agent-to-agent collaboration is made possible through Skyfire's API, which allows agents to authenticate, request services, and handle payments. The platform supports hundreds of language models (LLMs), and agents can dynamically select the best models for specific tasks. For example, SlangAgent can choose different LLMs (depending on the business context) to interpret slang accurately, ensuring users receive the most contextually appropriate responses.

Monetization and Profitability

One of the most exciting aspects of this demonstration is how it showcases the potential for AI agents to generate profits. SlangAgent, after providing its service, charges Aida for the transaction. Even after accounting for costs paid to various LLMs, Slang Agent makes a small profit. This simple yet effective business model illustrates the potential for developers to create profitable agents that serve other AI Agents. 

Conclusion: The Future is Autonomous and Profitable

With Skyfire's blockchain-based economic layer, agents can manage balances, pay each other and LLMs, and generate profits. This opens up a world of possibilities for developers to innovate and create new AI-driven solutions.

For those interested in exploring this technology, Skyfire is currently in beta. Developers are encouraged to join the beta waitlist by contacting sales@Skyfire.xyz