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AiTechWorlds
AiTechWorlds
From "what is a prompt" to building production AI agents. The A-Z guide anyone working with AI needs in 2026, plus a library of ready-to-use prompts.
In-depth sections covering every aspect of prompt engineering
10 guide sections from basics to security and RAG
Every technique shown with real, runnable code
GPT-4o vs Claude vs Gemini — what works where
Prompt injection, jailbreaks, and production hardening
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Copy a prompt, fill in the variables, and get output you'd usually have to iterate ten times to reach
Prompt engineering is the practice of designing inputs that reliably get the output you want from a large language model like ChatGPT, Claude, or Gemini. It covers techniques such as zero-shot and few-shot prompting, chain-of-thought, system prompts, and retrieval-augmented generation (RAG).
Start with our free step-by-step Prompt Engineering Guide, then apply the techniques using the ready-to-use prompts in the Prompt Library. For a structured path, take the free Prompt Engineering Masterclass course.
Use the free Prompt Token Counter to estimate token usage and API cost across GPT-4o, Claude, and Gemini before sending, and the AI API Cost Calculator to compare long-term costs across models.
A system prompt sets the model’s role, rules, and tone for the whole conversation, while a user prompt is the specific request. Format both correctly for any provider with the free Prompt Formatter.
Estimate token count and API cost for GPT, Claude, and Gemini prompts.
Format prompts into OpenAI JSON, Markdown, XML, or plain text.
Compare LLM API costs across OpenAI, Claude, Gemini, and more.
Go from beginner to expert in AI prompting — free course.
Last reviewed on June 13, 2026 by the AiTechWorlds AI Team. Free to use — no signup required.