Agentic AI
An AI that reaches the goal
π School maths Β· Years 4β6Coordinates & movement β Move on a grid using coordinates and direction (translation).Maths by year β
The Case. The latest AI ‘agents’ don't just talk β they act. They sense where they are, decide a step, do it, and repeat until the goal is reached.
Your tools. Plain Python runs the perceive β decide β act loop; matplotlib traces the agent's path to the treasure.
Investigate. Press Run. Watch the agent step toward the treasure one move at a time.
- That loop β look, decide, act, repeat β is the heart of every AI agent.
- Move the
GOALand the agent finds its own way there.
your_code.py
Starting Pythonβ¦
The Reveal
Starting Pythonβ¦ (first time only β a few seconds)
ποΈ Detective's notes
Bundles your findings, chart and code into one PDF you can keep, print or hand in.
π§© How this code works
The tools it uses
- Matplotlib β your crayon box β it turns numbers into charts and pictures.
What this one does
- β’ It draws a line chart β great for change over time.
- β’ It draws a scatter graph β great for one thing vs another.
- β’ It repeats a step many times with a loop.
How to read it, top to bottom
- 1. Import β bring in the tools (listed above).
- 2. The data β the lists and numbers near the top. These are the bits you change.
- 3. The work β a little maths, or a loop that repeats a step.
- 4. Show it β
print(...)writes words;plt.show()draws the picture.
Use it for your own problems
- Change the numbers at the top and press Run β nothing breaks, so experiment!
- Ask your own version of the question β swap in your family, your scores, your week.
- The same tools work on any numbers β that's the superpower you're learning.
Need a hint?
Each time round the loop the agent takes just one step. The loop keeps going until it lands on the goal.