Get up and running with LogicLayer in minutes
Get up and running with LogicLayer in minutes
This quick start guide will help you get started with LogicLayer quickly. Follow these steps to create your first autonomous AI agent and deploy it in just a few minutes.
Make sure you have the following:
Set up a basic autonomous agent
Let's create a simple data processing agent that can analyze CSV files and generate insights.
Log in to your LogicLayer account and navigate to the Dashboard. Click on the "New Agent" button to start creating your agent.
Fill in the basic details for your agent:
Choose a descriptive name and provide a detailed description. This will help you identify your agent later and understand its purpose.
Define what your agent can do
Now, let's configure the capabilities of your agent by setting up triggers, actions, and tools.
Select when your agent should run:
Select what actions your agent can perform:
Select what tools your agent can use:
Verify that your agent works as expected
Before deploying your agent, it's important to test it to ensure it works as expected.
After creating your agent, navigate to the "Test Console" tab on your agent's details page. Here, you can interact with your agent and test its functionality.
Test your agent with various inputs to ensure it handles different scenarios correctly. This will help you identify and fix any issues before deploying it.
Make your agent available for use
Once you're satisfied with your agent's performance, you can deploy it to make it available for use.
LogicLayer offers two deployment options:
Deploy your agent to LogicLayer's cloud infrastructure. This is the simplest option and requires no additional setup.
Deploy your agent to the Solana blockchain for decentralized execution. This requires a connected Phantom wallet.
For most users, cloud deployment is the recommended option. It's simpler, faster, and doesn't require any additional setup. Blockchain deployment is ideal for users who need decentralized execution or want to tokenize their agents.
Track your agent's performance and make improvements
After deploying your agent, it's important to monitor its performance and make optimizations as needed.
Use the monitoring dashboard to track your agent's performance metrics, such as success rate, average runtime, and total runs.
Performance chart will appear here
Review your agent's run history to see when it ran, its status, and its output.
Regularly review your agent's performance metrics and run history to identify patterns and optimize its configuration. If you notice a high error rate, check the run history to understand the specific issues and make adjustments accordingly.
Continue your journey with LogicLayer
Now that you've created, tested, and deployed your first agent, here are some next steps to explore:
Create additional agents for different use cases. Experiment with different configurations and capabilities.
Create New AgentBrowse the marketplace to discover agents created by other users. Purchase agents to expand your capabilities.
Visit MarketplaceExplore advanced features like agent chaining, custom tools, and integration with external services.
Read DocumentationConnect with other LogicLayer users to share ideas, get help, and stay updated on the latest features.
The best way to learn is by doing. Start with simple agents and gradually increase complexity as you become more familiar with the platform. Don't hesitate to experiment and try new things!