AI Tutorials

Learn how to use Veo 3.1's latest features to create longer, consistent videos by extending existing videos and creating videos based on specific starting frames.

Build a document Q&A tool while discovering how LangFuse simplifies debugging, tracks costs, and organizes prompts in complex LLM applications.

Learn how to bring your video ideas to life using the Sora 2 API with this complete guide on how to use Python to interact with the OpenAI API.

Learn how to create and publish a gym workout app using Bolt.new with adaptive workout plans.

Learn how to use the Perplexity Search API to build a Chrome extension that verifies factual claims in real time. Includes Node.js backend setup and API integration guide.

Learn how ChatGPT Apps work, explore real examples like Spotify and Zillow integrations, and discover how developers can build their own using the ChatGPT Apps SDK.

Use Docling to convert messy PDFs into structured, searchable data. Integrate LangGraph for retrieval-augmented reasoning and Streamlit for an interactive front end. Build, test, and deploy a local Document Intelligence App that feels like your own private ChatGPT for documents.

Learn how to use Gemini 2.5 Computer Use to build an AI-powered job search agent. This hands-on tutorial walks you through browser automation with Playwright and Streamlit, no APIs required.

Learn how to use OpenAI AgentKit to automate GitHub issue reviews with AI agents that classify, detect duplicates, and summarize reports.

A practical guide to GPT-5 function calling: from JSON-schema functions to free-form tools, Lark/CFG constraints, preambles, and tool allowlists.

Learn about DeepSeek-V3.2-Exp, its new sparse attention mechanism, how it reduces API costs and improves long-context handling, and how to use it in your own projects.

Set up Ollama in Docker to run local LLMs like Llama and Mistral. Keep your data private, eliminate API costs, and build AI apps that work offline.