Step-by-step guides and practical tutorials for mastering AI tools. Learn workflows, tips, and advanced techniques from hands-on testing.
18 tutorials published
How to Pick the Right AI Model as a Developer (Without Overpaying)
A practical decision framework for choosing between AI model tiers — based on task type, latency needs, and cost tolerance. Stop defaulting to flagship models.
Build AI Agents with LangGraph: Step-by-Step
Learn how to build stateful AI agents using LangGraph. This hands-on tutorial covers graph construction, tool integration, and multi-step reasoning.
Build an AI Email Assistant That Actually Works
Step-by-step guide to building an AI email assistant using OpenAI and Resend. Covers drafting, summarizing, and auto-sending emails with real code.
AI Image Generation API: Build a Visual Content Pipeline
Step-by-step tutorial to build an automated image generation pipeline using OpenAI DALL-E and Stability AI APIs with Python code examples.
Build an AI-Powered Search Engine from Scratch
Step-by-step tutorial to build a semantic search engine using OpenAI embeddings and vector databases. Includes working Python code and deployment tips.
Automate Any Workflow with N8n + AI Nodes
A practical tutorial on building real AI-powered automations with n8n. Connect LLMs, APIs, and databases without writing a full backend.
Build an AI Chatbot with Next.js and Vercel AI SDK
Step-by-step tutorial to build a streaming AI chatbot using Next.js App Router and the Vercel AI SDK. Covers setup, API routes, and a working chat UI.
Build an AI Chrome Extension in One Afternoon
Step-by-step tutorial to build a Chrome extension powered by AI. Summarize web pages, generate responses, and more using the OpenAI API.
Deploy Your AI App to Vercel: Zero to Production
Step-by-step guide to deploying your AI application on Vercel. Covers environment setup, edge functions, streaming responses, and production best practices.
Run LLMs Locally with Ollama: Complete Guide
Step-by-step tutorial to install Ollama, run large language models on your machine, and integrate them into your development workflow.
Fine-Tune Your First LLM: Practical Guide 2026
Step-by-step tutorial to fine-tune a large language model using OpenAI and Together AI. Covers data prep, training, evaluation, and deployment.
Build Your First MCP Server in 20 Minutes
Step-by-step tutorial to build a working MCP server from scratch using TypeScript. Connect custom tools to Claude and other AI assistants.
Build a Multi-Agent System with CrewAI
Step-by-step tutorial to build a working multi-agent system using CrewAI. Learn to define agents, assign tasks, and orchestrate collaboration in Python.
Advanced Prompt Chaining: 5 Patterns That Scale
Learn 5 proven prompt chaining patterns that handle complex tasks reliably. Step-by-step guide with code examples for Claude and ChatGPT.
Mastering Structured Output with LLMs (JSON Mode)
Learn how to get reliable JSON responses from LLMs using structured output modes in OpenAI and Claude APIs with practical code examples.
Set Up a Vector Database for AI Apps (Pinecone vs Chroma)
Step-by-step tutorial to set up Pinecone and Chroma vector databases for RAG applications. Includes code examples, performance tips, and a comparison to help you choose.
Build a RAG Pipeline with LangChain in 30 Minutes
Step-by-step guide to retrieval-augmented generation with local documents. From setup to production-ready pipeline.
Prompt Engineering Patterns That Actually Work
Seven proven techniques for getting reliable, high-quality outputs from any large language model.