Track
Agents that do things — MCP, tool use, multi-model orchestration.
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304 lessons across 3 tiers · ~79h total
What you’ll learn
Chat AI vs. Agent AI: The Real Difference
A chatbot answers. An agent does. Learn the line between a model that talks and a model that acts — and why crossing it changes everything about how you work with AI.
The Four Ingredients: Goal, Tools, Loop, Stop
Every agent — fancy or simple, local or cloud — boils down to four parts. Learn the recipe and you can read any agent system like a menu.
Your First Agent: A Walkthrough of What It Does
Follow a real agent run step by step — from prompt to result — and see exactly what happens inside. No code yet, just the anatomy of a successful task.
Why Agents Fail (and How to Notice)
Agents fail in weird, quiet, expensive ways. Learn the six failure modes, the warning signs, and the simple habits that catch problems before they compound.
Agent Safety: Sandboxes and Human-in-the-Loop
Giving an AI the keys to your computer is a big deal. Learn the two simplest ways to keep an agent safe: wall it off from things it shouldn't touch, and put a human in the decision path.
Tools an Agent Might Have: Filesystem, Browser, Code
Agents are only as useful as their tools. Tour the big three — filesystem, browser, code execution — plus the emerging MCP ecosystem, with examples of what each unlocks.
Cloud Agents vs. Local Agents: The Privacy Tradeoff
Your data can live in someone's data center or on your own laptop. Both are real options in 2026. Understand what you gain and lose with each.
Meet OpenClaw: A Case Study in Local Agent Orchestration
OpenClaw is open-source software that runs agents on your own machine — no cloud dependency, your data stays put. A tour of why it exists and how its pieces fit together.
Ollama Basics: Running a Model Yourself
Ollama turns 'I want to run an LLM locally' into a one-line install and a two-word command. Here's the stack, the key commands, and the models worth pulling first.
Builder Capstone: Design an Agent for Your Life
No code. Just design. Pick a real task you do every week and draft a complete agent spec — goal, tools, loop, stop, approvals, and what success looks like.
What Makes an AI an Agent, Part 1
An AI agent is AI that takes ACTIONS, not just answers questions.
Agents You Already Use
You have already used agents — Alexa, Siri, Google Assistant.
What Tools Agents Can Use
Modern agents can use tools — like a browser, an email client, a calculator, a calendar.
MCP — How Agents Connect to Tools
MCP (Model Context Protocol) is a standard way for agents to safely talk to tools.
Why Agents Need Approval Steps
The safest agents check with you before taking expensive or irreversible actions — sending email, making purchases, deleting files..
How Agents Go Wrong
Agents fail in funny and scary ways — booking the wrong flight, sending wrong emails, running up bills..
Agent Spending Limits
If an agent has access to your money, it needs strict spending limits — daily, weekly, per-purchase..
Agent Loops And Why They Are Risky
An agent loop is when an agent does the same thing over and over because it did not realize the task was done..
Reading an Agent Trace
A trace is the full record of what an agent did and why.
Agents vs Workflows
A workflow is a fixed sequence of steps.
Famous 2026 Agents
OpenAI Operator, Claude Computer Use, and Cursor are the most-used 2026 agents — each with different specialties..
Agents and Schoolwork
Using agents to do your homework FOR you is plagiarism.
Agents in Video Games
Modern video game NPCs use AI to react more naturally — they remember conversations, change behavior over time, and feel more alive..
Self-Driving Cars Are Agents
A self-driving car is one of the biggest agents — perceiving the world, deciding on actions, and acting in real time..
Smart Home Agents
Smart home systems (Alexa, Google Home, Apple Home) are becoming agents — they don't just respond to commands, they predict what you want..
Agents That Write Code
Cursor, Claude Code, and GitHub Copilot Workspace are agents specifically for writing software..
Research Agents (Deep Research)
OpenAI's Deep Research, Google's Gemini Deep Research, and Anthropic's Research mode all read dozens of sources and synthesize a report..
Agents Doing Your Personal Tasks
Agents are increasingly doing personal tasks — booking flights, ordering groceries, comparing insurance..
Keeping Agents Safe
Agents that act in the real world need safety measures — spending limits, approval gates, audit logs..
Prompt Injection — A New Risk
Prompt injection is when bad actors hide instructions in content the agent reads — making the agent do things its user didn't intend..
Should You Trust an Agent?
How much you should trust an agent depends on what it can do.
Agents and the Future of Work
By 2030, agents will probably handle most routine knowledge work.
School Policies on Agents
Most schools haven't figured out agent policies yet.
Can Agents Be Creative?
Agents can generate novel combinations of existing ideas.
When AI Predicts Nature
AI agents are being used to predict weather, fire risk, animal migration, and crop yields — with growing accuracy..
Agents in Medicine
Medical agents help with documentation (ambient scribes), imaging (X-ray review), and even clinical decision support..
When To Use Agents Ethically
Agents are powerful — and ethical use depends on disclosure, consent, oversight, and bounded harm..
Agents in 2030
By 2030, most knowledge work will involve some agent.
Make Your Own Personal AI Assistant for School Stuff
You can set up an AI to help with your specific routines — homework reminders, study schedules, paper drafting. Here is how teens are doing this.
Why You Should Never Let AI Send Your Messages Without Checking
Some AI tools can email, post, or send messages for you. Always read what AI sends before it goes out. Here is why.
Use AI Agents to Plan a Trip: Real-World Practice
Planning a vacation, family trip, or weekend with friends? AI agents are great at this. Here is how to use them safely.
Get AI to Do Multi-Step Tasks for You
Instead of one prompt at a time, you can ask AI to do a series of steps. Here is how teens are using this for real work.
What to Do When AI Agents Get Confused or Quit
Sometimes AI agents stop in the middle of a task or do it badly. Here is how to recover without giving up on the work.
Use an AI Agent to Run Your Group Meetings
AI can take notes, track action items, and follow up after group meetings. Useful for clubs, group projects, even student council.
AI Research Agents: Cool Power, Real Risks
Some AI tools (Deep Research, Perplexity Pro) do hours of web research for you in minutes. Powerful — but verify what they bring back.
Use AI Agents for Creative Project Planning
Big creative projects (movies, books, games, art series) need lots of planning. AI agents help organize the planning AND track progress.
Use AI to Build Your Own Learning Path on Anything
Want to learn something cool? AI can build a custom learning plan with resources, exercises, and milestones. Powerful for self-directed learning.
Use AI to Help Someone Else: A Generosity Practice
AI is amazing for helping others. Solve their tech problems, draft hard messages, plan events. Generosity made easy.
Coding Agents (Like Claude Code) for Real Projects
Claude Code, Cursor, and other coding agents can work on real coding projects with you. Like having a coding partner.
Build Your Own AI Tutor for Your Hardest Subject
You can build a custom AI tutor that knows your curriculum, your weaknesses, and how you learn best.
Use AI to Manage Real Events You Plan
Planning a school dance, fundraiser, or club event? AI agents help you handle all the moving pieces.
Use AI to Plan Your Future Self
AI can help you think about who you want to be in 5 years and what to do today to get there.
Build Your Personal Website With an AI Coding Agent
AI coding agents (Claude Code, Cursor) can build a personal website for you with little coding from you. Real teen tool.
Plan a Real Fundraiser With AI Agent Help
Fundraisers (school, charity, sports team) need lots of coordination. AI agents help with planning, outreach, tracking.
Build Real Portfolio Projects With AI Agents
Portfolio projects matter for college and jobs. AI agents help you build bigger, more ambitious projects than you could alone.
Use AI Agents to Actually Finish Projects
Most teens start things they never finish. AI agents help break inertia, track progress, and push through to completion.
Run a Small Business With AI Agents
Some teens run real small businesses. AI agents handle scheduling, customer messages, even pricing. Real income.
Use AI Agents to Run a Content Channel
If you make YouTube, TikTok, or podcasts, AI agents help with scheduling, editing, even script ideas.
Run a Game Server With AI Help
Run a Minecraft, Roblox, or game server for friends? AI agents help with moderation, events, and management.
Build a Real Website for Your Club With AI
School clubs need websites for meetings, signups, photos. AI helps you build one and update it through the year.
Run Big Research Projects With AI Agents
Senior thesis, science fair, year-long project — AI agents help you manage the long game.
AI Agents and Homework: When an Agent Is Helpful vs Cheating, Part 1
How teens decide when an AI agent is a tutor and when it's doing their work for them.
AI Agents and Side Hustles: Running a Tiny Etsy Shop
How a teen entrepreneur could use agents to handle the boring side-hustle work.
AI Agents and College Search: Building Your Own Application Bot
How AI agents can help juniors and seniors track colleges, deadlines, and essay drafts.
AI Agents and Music Practice: A Coach for Your Instrument
How AI agents can guide teen musicians through smart, structured practice.
AI Agents and Volunteering: Helping Run a Club Event
How student leaders can use AI agents to help organize a real volunteer event.
AI Agents and Job Hunting: Landing a Summer Job
How teens can use AI agents to track applications, polish resumes, and prep for interviews.
AI Agents and News: Building Your Personal Daily Brief
How an agent can build a five-minute morning news digest tailored to what you care about.
AI Agents and Fitness: Designing Your Own Training Plan
How a teen athlete can use AI agents to plan workouts and recover smarter.
AI Agents and Creator Workflows: Posting Three Videos a Week
How teen creators use agents to keep a real posting schedule without burning out.
AI Agents as Your Personal Trainer
An AI agent can build, track, and adjust a workout plan that learns what you actually do.
AI Agents for Running a School Club
If you lead a club, an AI agent can handle agendas, follow-ups, and member tracking.
AI Agents for Music Collabs
Make beats, share files, and chase down remix promises — let an agent run the boring parts.
AI Agents for Personal Budgeting
An AI agent can categorize spending, warn you when you're overspending, and suggest savings.
AI Agents for Debate Team Prep
An agent can build cases, find counterarguments, and quiz you the night before a tournament.
AI Agents for Streaming and Content
Streaming and posting takes a million tasks. An agent can plan, schedule, and recap.
When AI Agents Mess Up: Recovery Mode
Agents WILL make mistakes — this lesson teaches you to spot, stop, and undo agent errors.
AI agent: music practice routine builder, Part 2
An agent that designs daily practice plans for your instrument.
AI Agent: Plan Prom Without the Stress, Part 2
An AI agent that handles outfit, group, dinner, and afterparty in one go.
What Makes an AI 'Agent' Different From a Chatbot
An AI agent like Claude Code or Manus runs steps on its own — a chatbot just talks back.
Letting Claude Code Run on Its Own (Carefully)
Claude Code can finish multi-step coding tasks unattended — but only if you fence in what it can touch.
Why Agents Like Claude Code Keep Asking 'Can I Run This?'
Permission prompts in Claude Code, Cursor Agent, or Copilot Agent are the safety net — read them, don't auto-approve.
Reading Claude Code's 'Thinking' Output Like a Pro
Watching the agent's plan and reasoning catches mistakes 30 seconds before the agent makes them.
Why a 5-Minute Claude Code Session Can Cost a Dollar
Agents loop, and every loop iteration uses tokens — that's why agentic costs add up faster than chats.
When Claude Code Spawns Sub-Agents to Search in Parallel
Claude Code's Task tool launches mini-agents in parallel — way faster than one agent doing everything itself.
Tasks Where a Plain ChatGPT Beats an Agent Like Claude Code
For one-off questions, a regular chatbot is faster, cheaper, and less risky than firing up an agent.
When to Tell Claude Code or Manus to STOP and Wait for You
The 'stop and ask me' instruction is a power move — agents don't know what they don't know.
How AI Agents Remember (or Don't) Between Tasks
Most agents forget everything when the chat ends — unless you give them a memory system.
Multiple AI Agents Working Together
Splitting one big task across specialized agents (planner, coder, reviewer) often beats one agent doing everything.
Why AI Agents Fail (and How to Catch It Early)
Agents fail in predictable ways: looping forever, faking success, going off-topic. Knowing the patterns helps you stop them fast.
AI Agents That Drive a Web Browser
Tools like Claude's computer-use and OpenAI Operator let an AI click, scroll, and fill out forms like a person.
Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)
Without a 'done when X' rule, agents loop until they hit the token limit. Always set the exit.
Giving Your AI Agent a Memory File It Can Read and Write
A simple `memory.md` the agent can update lets it remember across runs without a database.
Giving an AI Agent Shell Access Without Letting It Wreck Your Machine
Sandbox, allowlist, and confirm — three guardrails that make shell access safe enough to use.
Asking AI to Critique Its Own Output Before Returning It
A second pass where Claude grades its first draft catches half the bugs before you see them.
Running an AI Agent on a Schedule with a Cron Job
Wire your agent into Vercel Cron or GitHub Actions and it runs every morning without you lifting a finger.
Adding a Human-in-the-Loop Approval Step Before the Agent Acts
Pause before any send, write, or pay action and ping a human. Trust restored, mistakes prevented.
Why an AI Agent Is Not Just a Chatbot
Understand the line between answering a question and taking an action in the world.
Watching an AI Agent Run Its Tool Loop
Trace the think-act-observe loop that powers every agent.
Designing the Toolbox You Hand Your Agent
Pick the smallest set of tools that lets the agent finish the job.
Telling Your Agent When to Actually Stop
Define a clear success signal so the agent does not loop forever.
Short-Term vs Long-Term Memory for Agents
Know which facts the agent should remember within a run vs across runs.
Watching an Agent Recover from a Bad Tool Call
See how a good agent handles a tool that throws an error.
Building an Agent That Watches Its Own Token Bill
Add a budget so the agent stops before it spends $50.
How to Tell If Your Agent Run Was Actually Good
Score your agent on outcome, not on how clever the trace looked.
When Two Agents Are Better Than One Big One
Split a job into a planner agent and a worker agent.
AI agent does your research (the right way)
Use a research agent like Perplexity or ChatGPT Deep Research without ending up with hallucinated sources.
Agent vs workflow: when to use which
Not every AI task needs an autonomous agent — sometimes a fixed pipeline is smarter.
Giving an agent the right tools (and only those)
Agents are only as safe as the tools they can call — pick the smallest set that works.
When agents get stuck in loops (and how to stop them)
Runaway loops eat your wallet — set hard limits before you press run.
Memory vs context window: what your agent remembers
Your agent forgets between sessions unless you give it actual memory — not just a longer context window.
What does an AI agent actually cost per task?
Agents call models many times — the per-task bill is sneaky bigger than chat.
Build your own agent in 30 minutes
Use an SDK like Claude Agent SDK or Vercel AI SDK to ship a working agent today.
AI and Supervising an Agent: When to Let It Run
Agents make mistakes that cost money or break things — knowing when to supervise vs let it go is the new skill.
AI and No-Code Automation: Building Bots Without Code
Make, n8n, and Zapier let you build agent-style automations with zero code — perfect for your first real automation.
AI and the Agent Failures Already in the News
Agents have already cost real people real money — knowing the failure modes lets you avoid being the next story.
AI and Claude Projects for School: One Workspace Per Class
Claude Projects keeps each class's syllabus, notes, and prompts in one place so AI is actually useful all semester.
AI and ChatGPT Tasks and Reminders: Outsource Your Calendar
ChatGPT Tasks pings you about deadlines, study sessions, and missed assignments without you ever opening the app.
AI and Computer Use Warnings: When to Trust an Agent With Your Screen
Computer-use agents can click things on your behalf. Learn the rules before you hand over your laptop.
AI and Multi-Step Workflows: Chain Prompts Like a Pro
Real AI power comes from chaining 5 prompts that build on each other, not asking one big question.
Supervising AI Agents: The Rules of the Road
How to set boundaries when an AI is acting in the real world.
Building a Personal AI Assistant That Actually Works
Practical setup for a useful personal agent without losing your privacy.
How AI Agents Fail (And How to Catch Them)
The specific ways agents go wrong and the habits that catch them early.