Lab 04
Prompt Playground
A prompt is not one blob of text. Role, task, context, constraints and output format are separate decisions with separate effects.
Educational simulation. No AI provider is connected, so nothing here calls a language model. Running a prompt returns the response shape your instructions ask for — it is generated by this site's own rules, not written by a model.
The parts of a prompt
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Composed prompt
Summarise the text below for someone who has not read it.
Output
Nothing run yet.
Analysis
3/6A checklist, not a score. These six things are known to change how a model responds; there is no universal measure of prompt quality.
ClarityThe task states an action
There is an explicit instruction the model can follow.
SpecificityConcretely worded
No obviously subjective terms that the model would have to interpret for you.
ContextNo context
Without background the model answers generically, and any specific detail it produces is a guess rather than something drawn from your material.
Add the document, data, audience or situation the answer depends on.
ConstraintsNo constraints
Length, tone, reading level and what to leave out are all unspecified, so they will vary between runs.
Add limits: “under 150 words”, “no jargon”, “keep every figure unchanged”.
Output formatNo output format
The response shape is left to the model, so it may differ every time — which breaks anything downstream that expects a structure.
Say the shape: “five bullet points”, “a JSON object with keys x, y”, “a table”.
AmbiguityNo obvious contradictions
Nothing in the prompt appears to fight with anything else in it.