UNIFY Prompt Lab

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UNIFY Prompt Lab — Learn How AI Reads, Reasons and Responds
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UNIFY Prompt Lab
Where prompts become structure
An interactive teaching dashboard for AI literacy

Learn how AI reads, reasons and responds.

A visual laboratory where teachers and students deconstruct AI prompts into five universal components — then watch them flow through five cognitive stages, from understanding to yield.

Start Building Prompts See UNIFY in Action
5
Prompt Components
5
Cognitive Stages
100
Quality Score Max
The Core Model
v1.0
Prompt Construction
P = I + O + C + R + E
Input · Operation · Context · Result · Evaluation
UNIFY Cognitive Workflow
U → N → I → F → Y
Understand · Navigate · Infer · Form · Yield
Combined
P( I, O, C, R, E) → U( N( I( F( Y ))))
Live Formula
P =
I
+
O
+
C
+
R
+
E
Quality Score
No prompt yet
0 / 100

Prompt Builder

MODULE A

Construct a prompt by selecting components below. Each choice updates the live formula and quality score in real time.

I Input
What information is given to the AI?
O Operation
What should the AI do? (multi-select)
Tip: combining operations like "Analyse + Critique" produces richer prompts.
C Context / Constraints
Under what conditions?
R Result
What type of output?
E Evaluation
How is the output checked? (multi-select)

AI Process Visualiser

UNIFY

Watch the prompt move through five cognitive stages.

U→ N→ I→ F→ Y
U
Understand
Input → Meaning
Read · Identify · Interpret · Extract
"What does the AI need to understand first?"
N
Navigate
Meaning → Relevant info
Search · Select · Retrieve · Filter
"Which information is relevant?"
I
Infer
Information → Reasoning
Analyse · Compare · Deduce · Explain
"What conclusion can be drawn?"
F
Form
Reasoning → Structured output
Write · Create · Design · Generate
"What is the best form for the answer?"
Y
Yield
Output → Checked result
Verify · Critique · Check · Refine
"How do we know it's good enough?"
Press RUN below to watch each stage activate in sequence.

Generated Prompt

Natural-language output

Your structured prompt will appear here once you select components and press RUN.

Module C

Prompt Quality Score

Each component receives 0–20 points. The dashboard evaluates clarity, specificity, and structure — not just completion.

Q = I + O + C + R + E
I Input — Is the information clear?
0 / 20
O Operation — Is the AI action specific?
0 / 20
C Context — Are the conditions defined?
0 / 20
R Result — Is the output specified?
0 / 20
E Evaluation — Are quality checks included?
0 / 20
Overall Rating
0
out of 100
No prompt yet
90–100High-Quality Structured
80–89Strong
60–79Good
40–59Basic
0–39Weak
Classroom Activity

Build the Prompt — Together

The Problem
SCENARIO

"Should students use AI for homework?"

Students must construct a prompt that helps AI explore this question from multiple angles. Try building it in the Prompt Builder above — then press Load Example to compare.

Suggested Student Answer
I =Information about AI and homework
O =Analyse and compare
C =Secondary school context
R =A classroom debate
E =Check for bias and unsupported claims
How AI Will Process It
U
AI understands the homework debate context
N
AI navigates arguments for and against
I
AI infers balanced perspectives
F
AI forms structured debate points
Y
AI yields a checked, classroom-ready result
Module D

AI Vocabulary Library

A small set of action verbs grouped by cognitive purpose. Click any verb to add it to the Operation field in the builder.

Module E

Prompt Flow Algorithm

The full pipeline — from receiving input to delivering a refined result.

Construction Phase
UNIFY Processing Phase
Module F — Advanced

Recursive Learning Mode

Good prompting is not asking once. It is designing, testing, critiquing and improving — iteratively. Below: the cycle that turns a first attempt into a refined prompt.

Prompt → Output → Critique → Refinement → Improved Prompt
P₁
First Prompt
"Write about AI in schools."
Y₁
First Output
Generic essay, vague claims, no audience.
C₁
Critique
No audience, no length, no checks for bias.
P₂
Improved Prompt
Structured, audience-aware, with evaluation criteria.
The principle
Good prompting is not merely asking AI a question. It is designing, testing and improving an instruction.
Teacher Mode

Teacher Control Panel

Configure classroom activities, difficulty, and AI interaction mode.

Student Mode

Your 5-Step Workflow

A simplified path. Answer each question, then generate your prompt.

01
Information
What information do I have?
02
Action
What do I want AI to do?
03
Context
What context does AI need?
04
Result
What result do I want?
05
Check
How should it be checked?
Go to Prompt Builder
Core Educational Principle
AI literacy is not using AI. It is understanding the chain.
Human Intent → Prompt → AI Processing → Output → Human Judgement
Outcome 01
Identify prompt components
Outcome 02
Distinguish input vs operation
Outcome 03
Evaluate AI output critically
Outcome 04
Recognise bias & hallucination
Outcome 05
Iterate weak prompts
U
UNIFY Prompt Lab
P(I,O,C,R,E) → U(N(I(F(Y))))
A visual laboratory for AI literacy · For teachers, students and researchers

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