In this tutorial I demonstrate how to integrate an AI agent in a Laravel application using NeuronAI. The tutorial will guide you through the process of creating a YouTube video summary agent from scratch, explaining that NeuronAI was initially an internal project at Inspector.dev that was later released as an open-source solution to help the PHP ecosystem catch up with other technologies in AI Agents development.
I show how to install the necessary packages, create an agent class, configure LLM providers like Anthropic, implement system instructions, and add tools for retrieving YouTube video transcriptions. Throughout the demonstration, it highlights how Inspector can monitor the agent’s execution, providing visibility into each step and alerting developers to any errors in real-time. The tutorial concludes with a working example of an AI agent that can summarize YouTube videos, emphasizing the importance of starting small and monitoring behavior while gradually extending capabilities.
Three Key Takeaways:
- NeuronAI makes it easy to integrate agentic components into existing PHP codebases, helping PHP developers catch up with AI capabilities available in other ecosystems.
- Inspector provides real-time monitoring of AI agents, allowing developers to visualize execution steps, performance metrics, and receive immediate alerts for errors.
- Building effective AI agents requires proper system instructions with clear role definition, step-by-step behavior guidance, and explicit output format specifications.
Resources
If you are getting started with AI Agents, or you simply want to elevate your skills to a new level here is a list of resources to help you go in the right direction:
- E-Book (Start With AI Agents In PHP): https://www.amazon.com/dp/B0F1YX8KJB
- NeuronAI – Agent Development Kit for PHP: https://github.com/inspector-apm/neuron-ai
- Newsletter: https://neuron-ai.dev
Are you curoius about RAG (Retrieval Augmented Generation)? Jump into the dedicated tutorial:
