Single-task AI is useful. Multi-agent AI is transformative.
Tonight you'll build systems where Claude orchestrates a team of specialised subagents, each handling a part of a complex job simultaneously, while you watch it happen.
Then you'll wire those agents into automated routines that run on a schedule, silently, without your input.
This is the session where the full capability of what you've been building becomes visible.
What You'll Do
Assign a complex, multi-part job to a team of subagents working simultaneously, done in an evening instead of days.
Build background automations for the tasks you'd rather never touch again, so they just happen.
Chain skills, tools, and scheduling into one self-sustaining routine: set it once, forget it.
Leave with a clear picture of what's possible, and a working prototype to prove it.
What You'll Learn
Break a larger job into steps an AI assistant can handle.
Use subagents and structured workflows.
Assign a complex, multi-part job to a team of AI agents.
Build small automations for tasks you do often.
Combine skills, tools and scheduling into practical routines.
Spot where agentic AI can save serious time in your work.
Understand how to move from single prompts to multi-step AI systems.
You'll Walk Out With
A clearer understanding of AI agents and delegation.
A working example of a multi-step AI workflow.
Ideas for applying AI to your job, business or side project.
An assistant concept that can run whole jobs, not just answer questions.
A stronger sense of what to build next.
Who This Is For
Professionals ready to use AI beyond simple prompts.
Founders and operators who want to automate parts of their workflow.
Freelancers and consultants who want to build smarter delivery systems.
People who want AI to manage repeatable jobs while they focus on higher-value work.
Anyone with intermediate Claude Code or AI experience who wants to go deeper.
Earlier nights are recommended, but not mandatory. If you a