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AI for builders
These guides are for people who want to build with AI, not just use it. They cover vibe coding and simple AI apps, retrieval-augmented generation, embeddings, the Model Context Protocol and workflow automation, with clear steps for testing what you build before anyone at work relies on it.
AI Workflow Automation: n8n, Zapier and Make Compared
How n8n, Zapier and Make describe workflows, AI steps and MCP support.
6 min read
Embeddings and Vector Databases Explained Simply
How AI tools turn text into numbers so they can search by meaning.
7 min read
Prompting vs RAG vs Fine-Tuning: Which One Should You Use?
When to improve the prompt, add your documents or retrain the model.
7 min read
What Is MCP (Model Context Protocol), and Why Does It Matter?
How MCP connects AI applications to tools and data in a standard way.
7 min read
What Is RAG (Retrieval-Augmented Generation)?
How RAG lets an AI assistant answer from your own documents.
7 min read
Build AI Apps Without Coding: A Practical Guide
A guide to building, testing and using AI apps responsibly.
9 min read
Five Practical AI Application Ideas for Small Businesses
Five small AI app ideas a small business can try safely.
7 min read
How to Build a Simple AI App Without Coding Experience
A step-by-step way to plan, build and test a first AI app.
7 min read
How to Test and Evaluate AI-Generated Outputs
How to check AI answers with a simple test matrix before use.
7 min read
Vibe Coding vs Prompt Engineering: What Is the Difference?
How asking AI for answers differs from building software with AI.
7 min read
What Is Vibe Coding? A Beginner’s Guide
What vibe coding is, how it works and where its limits are.
7 min readSTART HERE
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