What Is TokIQ? The Quiz App for Learning Prompt Engineering
TokIQ is a mobile quiz app that teaches prompt engineering through short multiple-choice decisions. How it works, its 8 topics, levels, and free vs Premium.
The TokIQ Blog
Practical guides to writing better prompts: techniques with real examples, structured output, RAG, agents and prompt injection, plus how to practice.
TokIQ is a mobile quiz app that teaches prompt engineering through short multiple-choice decisions. How it works, its 8 topics, levels, and free vs Premium.
A realistic path for learning prompt engineering: what to learn first, which free resources are worth it, how to practice, and how to know you're improving.
The prompt engineering mistakes that cause most bad AI output, from missing context to conflicting rules and untested changes, each with a concrete fix.
How LLM tool calling works, how to write tool descriptions models use correctly, how agent loops run and stop, and the failures to plan for in agents.
Do prompts work the same in ChatGPT, Claude and Gemini? Most principles transfer. Here is what differs, and how to test a prompt across models without guessing.
A practical checklist for writing better ChatGPT prompts, with before-and-after examples. The same habits work for Claude, Gemini and other AI assistants.
RAG retrieves relevant documents and adds them to the prompt so the model answers from sources. See how it works and how to prompt for grounded, cited answers.
Prompt injection tricks an AI into following attacker instructions hidden in input or documents. Learn direct vs indirect attacks and the mitigations that work.
Getting valid JSON from an LLM takes more than asking nicely. Use schemas, structured output modes, validation and retries, and avoid the usual failure modes.
A system prompt sets an AI assistant's role, rules and format for a whole conversation. Learn what belongs in it, how to order it, and see a full example.
Chain-of-thought prompting asks a model to reason step by step before answering. See when it helps, when reasoning models make it redundant, and how to use it.
Zero-shot prompts give only instructions; few-shot prompts add examples. Learn when examples improve output, and when they cause copying, bias and drift.
Prompt engineering is the skill of writing inputs that get reliable results from AI models. Learn the parts of a good prompt, with before-and-after examples.
Short quizzes on real prompting decisions, with an explanation for every answer. Free to start on iPhone and Android.