Spark AI Assistant
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Describe. Ask. Test. Refine.
When a student hits a bug, Spark asks what they expected and what actually happened. The student tries the fix on the robot and finds out whether the thinking held up.
Guides Thinking, Never Gives Answers
Spark asks what the student expected and what actually happened, then points toward the fix. The student does the solving.
Built for the Pitsco Learning Portal
Guidance comes from official Pitsco documentation rather than the open internet, and Spark knows the activity and the code on the student's screen.
Ten Prompts a Day, by Design
Each student gets 10 prompts per 24 hours. The limit is deliberate, so students learn to describe a problem clearly and try things themselves first.
Answers That Have to Work on a Real Robot
Whatever Spark suggests gets tested on the robot. Students learn to question AI advice instead of accepting it.
What Students Will Do
Spark sits inside the work students are already doing. It shows up at the moment they get stuck, and it hands the thinking back to them.
- Describe a bug clearly: what they expected against what actually happened
- Ask an AI assistant specific, useful questions
- Test Spark's guidance on the physical robot and judge whether it held up
- Debug their own code instead of waiting for the teacher
- Work through the describe, ask, test, refine loop that developers use every day
- Build the habit of questioning AI advice rather than trusting it



