Claude

Prompt Engineering Fundamentals

Learn the building blocks of a great prompt — role, context, task, format, and constraints — and how ChatGPT, Claude, Perplexity, and Grok each respond differently to the same instructions.

RAG & Custom AI Knowledge

Ground AI answers in your own documents with Retrieval-Augmented Generation — from no-code Custom GPTs and Claude Projects to understanding chunking, embeddings, and retrieval quality.

GPT vs Claude vs Gemini: An Honest Comparison

A practical comparison of the three leading AI models across writing, coding, reasoning, long documents and cost — including which one to reach for on which task, and where each genuinely falls short.

Tokenizer

A tokenizer is the component that splits text into tokens before a model processes it. Different model families use different tokenizers, which is why the same text can have different token counts on GPT versus Claude.

The 5-Part Prompt Framework — Claude

Every strong prompt combines five parts: Role (who the AI should act as), Context (background info it needs), Task (the specific ask), Format (how you want the output structured), and Constraints (length, tone, things to avoid).

Chain-of-Thought Prompting — Claude

Asking a model to "think step by step" before answering measurably improves accuracy on reasoning, math, and multi-step logic tasks because it forces the model to externalize intermediate steps instead of jumping to a guess..

ChatGPT vs Claude vs Perplexity vs Grok — Perplexity

The same task often needs a slightly different prompt style per model.

ChatGPT vs Claude vs Perplexity vs Grok — Grok

The same task often needs a slightly different prompt style per model.

Role + Constraints to Kill Vagueness — Claude

When answers are generic, the fix is almost always more specificity, not a longer prompt.

Critique-and-Revise Loops — Claude

A loop is simply feeding a model's own output back to it (or to a second prompt) for review and improvement, repeated until a quality bar is met.

Connecting an LLM to n8n

n8n connects to AI models either through dedicated nodes (OpenAI, Anthropic community nodes) or a generic HTTP Request node calling any model's API.

AIDA and PAS Prompts — Claude

AIDA (Attention, Interest, Desire, Action) and PAS (Problem, Agitate, Solution) are proven copy structures.

The Two-Pass Edit: Structure Then Line — Claude

Professional editing is two separate passes: a structural pass (does the argument build? is anything missing or redundant?) and a line pass (rhythm, word choice, cuts).

The Two-Pass Edit: Structure Then Line — Claude (2)

Professional editing is two separate passes: a structural pass (does the argument build? is anything missing or redundant?) and a line pass (rhythm, word choice, cuts).

Title & Thumbnail Text Pairing — Claude

Titles and thumbnail text should never repeat the same words — they should work together to create curiosity.

Getting Cited by ChatGPT & Perplexity — Claude

AI answer engines favor content that is clearly structured, directly answers questions, cites data, and demonstrates first-hand expertise.

Custom GPTs & Claude Projects

Both ChatGPT (Custom GPTs) and Claude (Projects) let you upload documents and set standing instructions — a no-code RAG setup.