Available
AI Model Comparison
One prompt, every model.
How do you teach?
Learners treat one AI model’s answer as the answer, without seeing how much models differ. AI Model Comparison runs the same prompt across models and shows the outputs side by side.
Your student trusts whatever the AI says. Run the same prompt across models and compare the answers side by side, so they learn to judge.
Students assume every AI gives the same answer. Run one prompt across models and show the class the outputs side by side.
Your teams pick AI tools by habit. Run one prompt across models and compare the outputs side by side, so the group chooses the right one for the job.
Put one prompt’s answers from different models side by side on the board, and let the class judge which is best and why.
Show one prompt’s outputs from different models side by side on the screen at the front of the room, and let the group decide which fits the job.
Your child sees that different AI models give different answers, and learns to judge them instead of trusting the first one.
Free for 2 weeks on any paid plan. No credit card required.
What it solves
- AI that gives answers, not understanding
Helps you
Teach better
Part of
AI
The problem
One AI answer gets treated as the answer
Learners use one model and accept its output. They never see how much models differ, so they can’t judge quality or choose the right tool.
The usual way
Teachers copy answers from several AI tools into a document by hand to compare them.
How Pencil Spaces solves it
Side-by-side model comparison: run identical prompts across different AI models and display the outputs together.
What changes
Better judgment about AI. Learners see how models differ and choose the right one for the job.
What it looks like
In practice
A tutor runs the same essay prompt across three models. The outputs appear side by side, and the student picks out which one answered the question best.
In a 1:1 lesson
You run your student’s history question across models, and together you spot which answer got a date wrong.
In a group class
Your class compares three models’ summaries of the same article and votes on the most accurate.
In a virtual training
Your marketing team compares three models’ drafts of the same email and picks one for the campaign.
In your classroom
On the board, the class compares models’ answers to a science question and explains which reasoning holds up.
In the training room
The group compares outputs from different models on the screen and agrees which suits their reports.
At home
Your daughter compares answers from two models with her tutor and learns why one is better.
