Homework planner agent
An agent that breaks the week's assignments into a realistic, self-updating plan.
From chatbot to co-worker: AI that acts.
The newest shift in AI: models that do not just answer, they act. Your teen designs agents that plan multi-step tasks, use tools and finish real work, with guardrails they build themselves.
Assumes some coding comfort. Our Python course is the ideal lead-in.
Every unit is taught inside a live simulation and ends with something your child has actually built. Pace is 1-on-1, so no one is rushed or held back.
What separates an agent from a chatbot, shown side by side on the same task.
Task decomposition: teaching an AI to think before it acts.
Give the agent a calculator, a calendar and a search tool, then watch it choose.
Agents that carry context across a whole task instead of forgetting mid-way.
Budgets, limits and honest failure. Safety treated as an engineering skill.
Scope, build and demo a working automation for a real family need.
Kids remember what they make. Each project is a genuine artifact your child keeps, shares and builds on.
An agent that breaks the week's assignments into a realistic, self-updating plan.
A multi-step agent that gathers options, compares them, and reports back with sources.
A real, deployed automation the teen scopes, builds and demos for a genuine family need.
Some coding comfort, ideally basic Python. Our Python Programming or How LLMs Work courses are the perfect lead-ins for a confident start.
No. Students work within LearnX sandbox credits, and a whole module is dedicated to budget-aware, responsible usage. There are no surprise bills.
It is the most in-demand shift in the field right now. Your teen builds real, working agents that plan, use tools and finish tasks, not slideware.
A deployed, self-built automation is a standout portfolio piece. Mentors help frame the capstone for applications and interviews.
Meet the mentor, play inside a real simulation, and watch your child build something on day one. No card required.