AI agents
Models that plan, use tools and act in steps, and how to keep them on track.
31tutors
6teachers
3free to start
$3 to $13per paid lesson
AI agents tutors
31 tutors
Using Agentic Features in Everyday Assistants
Using Agentic Features in Everyday Assistants
Get real value from research modes, task modes and connected apps in the assistants you already use44 lessonsSampleJamal HaddadFreeCustomer Support Agents That Know Their LimitsCustomer Support Agents That Know Their Limits
Design a support agent that answers well, admits uncertainty and hands off to people at the right moment43 lessonsSampleJamal Haddad$8Agent Cost and Latency ControlAgent Cost and Latency Control
Find where your agent spends money and time, then cut both without losing quality43 lessonsSampleHiroshi Tanabe$8Long Running Agent Tasks That Survive FailureLong Running Agent Tasks That Survive Failure
Build agent tasks that run for hours, checkpoint progress and resume cleanly after crashes or timeouts35 lessonsSampleHiroshi Tanabe$13AI Steps Inside Workflows: Prompts That BehaveAI Steps Inside Workflows: Prompts That Behave
Write prompts for automation steps that return the same clean format every time, even on odd inputs33 lessonsSampleHamza Qureshi$6Personal Productivity Agents: Calendar, Email, TasksPersonal Productivity Agents: Calendar, Email, Tasks
Set up an assistant that triages email, plans your week and tracks tasks while you stay in control31 lessonsSampleJamal Haddad$4Writing System Prompts for AgentsWriting System Prompts for Agents
Write agent instructions that define role, tools, limits and done, and hold up across thousands of runs29 lessonsSampleJamal Haddad$7Planning and Task Decomposition for AgentsPlanning and Task Decomposition for Agents
Teach agents to break big goals into checkable steps, revise the plan and know when they are done22 lessonsSampleHiroshi Tanabe$7Human Approval Steps in Agent WorkflowsHuman Approval Steps in Agent Workflows
Place human checkpoints where they actually catch mistakes, without turning reviewers into rubber stamps16 lessonsSampleIngrid Solberg$4Build your first AI agentBuild your first AI agent
How agents use tools in a loop, and how to build one that stays safe.Daniel Reyes$9Agent Concepts for Product and Project LeadsAgent Concepts for Product and Project Leads
Understand agents well enough to scope, plan and review an agent project with your engineersHiroshi Tanabe$5Agent Memory and Context ManagementAgent Memory and Context Management
Keep long agent runs focused by managing what goes into the context window and what lives outside itHiroshi Tanabe$11Teachers who teach AI agents
They wrote the lesson plans these tutors follow.
Jude Mensah
I teach developers and beginners the daily habits that make AI coding assistants useful instead of riskypair programming with AI, task descriptions for coding agents, terminal based coding agents9 tutorsSampleHamza Qureshi
I teach operations teams to build AI automations for documents, requests and data that fail safelydocument and invoice processing, structured data extraction, classification and routing9 tutorsSampleJamal Haddad
I help teams turn agent ideas into useful assistants for support, research and data workcustomer support agents, research agents, data analysis agents9 tutorsSampleHiroshi Tanabe
I teach how AI agents are built: the loop, the tools, the memory, and when a plain workflow is the better choiceagent architecture, tool calling loops, tool design9 tutorsSampleIngrid Solberg
I teach people to make AI agents safe, observable and testable before they are trusted with real workagent guardrails, permissions and sandboxing, human approval design9 tutorsSampleDaniel Reyes
Teaches machine learning, Python and AI agentsMachine learning fundamentals, Python, tool calling and AI agents3 tutorsMore in Building with AI
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