ChatGPT & OpenAI

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.

AI SEO & Search Visibility

Use AI to do keyword research, optimize content for search, and get your brand cited by AI answer engines like ChatGPT, Perplexity, and Google AI Overviews.

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.

10 Prompt Mistakes That Make AI Output Generic

The specific, fixable reasons AI output comes back bland — and what to write instead. Each mistake includes a before-and-after example you can apply immediately.

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.

Which AI API Is Cheapest? How to Actually Compare

Headline price per million tokens is a misleading way to compare AI APIs. Here is how to calculate real cost for your workload, and the four changes that cut bills the most.

n8n and AI: Build Your First Real Automation

A practical walkthrough of wiring an AI model into an n8n workflow — the node structure, the prompt that makes it reliable, and three automations worth building first.

How to Cut Your AI API Costs by 70% Without Changing Models

Most AI API bills are two to three times larger than they need to be, and the fix is rarely a cheaper model. Seven techniques that reduce cost without reducing quality — caching, routing, output limits and the ones teams miss.

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 — ChatGPT

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).

Zero-Shot vs Few-Shot Prompting — ChatGPT

Zero-shot means asking directly with no examples.

Chain-of-Thought Prompting — ChatGPT

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..

Structured Output (JSON & Tables) — ChatGPT

When you need output your app or spreadsheet can actually use, explicitly request a schema.

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 — ChatGPT

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

Critique-and-Revise Loops — ChatGPT

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 — ChatGPT

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

Generating High-Variance Ad Sets — ChatGPT

Ad platforms reward variety for testing.

Mining Keywords and Search Intent — ChatGPT

AI is excellent at expanding a seed topic into keyword clusters and classifying search intent (informational, commercial, transactional, navigational).

Getting Cited by ChatGPT & Perplexity — Perplexity

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

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.