AI Tool Guides
Short answer
These guides explain how AI tools work and how to choose between them. Each one says what it is based on. We publish step-by-step tutorials only after performing the steps ourselves; until then, how-to topics are written as guides and labelled that way.
Coming next
Hands-on tutorials (building a first app with an AI app builder, fixing AI-generated code, a first n8n workflow, a literature review without fake citations) will be published once the steps have been performed and documented with versions and dates.
Every page in this section
- What Is an AI Agent?
A plain definition of AI agents, how they differ from chatbots, real 2026 examples such as Claude Code and Codex, and where agents still fail.
Guide · updated 5 October 2026
- MCP Explained: The Model Context Protocol
What the Model Context Protocol is, why AI tools adopt it, what servers expose, the 2026-07-28 specification version and what to check before connecting one.
Guide · updated 5 October 2026
- AI API Pricing Explained
How to read AI API prices: input vs output tokens, cached input, batch discounts and long-context surcharges, with worked examples from verified Claude prices.
Guide · updated 5 October 2026
- How to Choose an AI Voice Generator: 8 Checks
A buyer checklist for AI voice tools: licence, cloning consent, languages, latency, output formats, API, data use and price per minute of audio.
Guide · updated 5 October 2026
Sources
- modelcontextprotocol/modelcontextprotocol on GitHub · checked 5 October 2026
- Claude pricing · checked 5 October 2026