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Free Interactive Tool

Prompt Engineering Demo

See how adding structure to a prompt changes what comes back. Toggle role, objective, format, and examples to compare AI responses in real time.

3 scenarios · 4 techniques · instant feedback
Live Playground

Build Better Prompts, Step by Step

Pick a scenario, flip the controls, and watch the prompt and answer update instantly. Every toggle teaches a different technique.

1. Prompt

Choose a scenario to explore.

Prompt sent to model

Explain recursion.

2. Controls

Toggle techniques on and off.

3. Answer

What the model returns given the current prompt.

Recursion is when a function calls itself. It's used to solve problems that can be broken down into smaller versions of the same problem. A recursive function needs a base case to stop it from calling itself forever. Common examples include calculating factorials and traversing trees. If you forget the base case, you'll get a stack overflow error.

Prompt quality

Specificity20/100
Expertise match15/100
Readability15/100

Scores reflect active technique choices, not content quality.

No techniques active

No controls active. The model receives a bare question and returns a generic answer — accurate in places, but shallow, and formatted however it chooses.

Prompting is just one piece of the puzzle

Better prompts lead to better results, but output quality also depends on source quality, task design, context selection, evaluation rigour, and model limitations. Prompt engineering is a powerful skill — not a silver bullet.

How It Works

Four Techniques That Transform Any Prompt

Each control adds a structural element to the prompt. Combined, they take a vague question and turn it into a precise instruction.

Clarify Objective

Tells the model exactly what angle you need. Without it, the model guesses your intent and often misses.

Act As (Role)

Shapes the perspective, vocabulary, and depth. The same question to an engineer, a coach, and a writer produces three different answers.

Preferred Output

Controls the format so the answer is immediately usable \u2014 bullets for scanning, JSON for code, paragraphs for prose.

Include an Example

Bridges theory and practice. A concrete illustration turns an abstract answer into something you can act on immediately.

Ready to Master Prompt Engineering?

This demo shows four techniques. The full AI Tutorium programme teaches dozens more \u2014 with hands-on practice, real projects, and expert feedback.

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Prompt Engineering Demo — Interactive Prompt Techniques | AI Tutorium