

That's what this course teaches. You give the agent a job, the agent does the job. Reply sent. Meeting booked. Analysis run and filed. One instruction in, the work done while you're in your next meeting.
The leaders moving fastest right now have quietly stopped doing the work their agents already handle.
This course is for Directors, VPs, and executives who:
No prior training, no coding background needed. If you're comfortable with AI assistants, ChatGPT, Claude, Copilot, or Gemini, this is the next step.
Agentic AI has changed enough in the last few months that we rebuilt this course from scratch. It now focuses on the four platforms you and your team already use. You're learning to delegate work to agents inside the tools you already have.
You start with a Chief of Staff. It prepares your priorities, files your morning briefs, and clears the noise out of your inbox before you've opened it. Low risk, personal, the kind of thing you'll use first thing tomorrow.
From there you build a portable Agent OS: the identity, priorities, and operating rules you write down once and reuse everywhere. Plug it into Claude this month and Copilot next quarter without rebuilding from scratch. The agents change. The OS travels with you.
In Week 3 you choose your second agent. We'll work through the strongest patterns by role: Pipeline Hygiene for sales, Month-End Close for finance, Project Triage for ops, Feedback Triage for product. Whichever you pick, the second build is faster. The foundation is already there.
By Week 4 you'll have two working agents, a full map of your Agent OS, and a plan for the next 30 days of putting agents to work across your team.
Cohort starts Monday, June 1, 2026. | First Live Session Wednesday 3rd June
For years, the assistant has been your sharpest thinking partner, your coach, your board of directors. Better drafts, faster research, smarter analysis. But work still lands on your desk. Now we will put agents to work for you. You'll see what makes an agent different, and what's coming next.
We'll make a first pass at the Agent OS and build identity, context, skills and memory. You'll also build a thought partner that helps you design your Agent OS and Chief of Staff.
Platforms where you learn to build agents. You'll see how each platform works, how to create an agent, what each gives you out of the box, and how to choose between them. Then design your Chief of Staff: write the brief, give it the context it needs, set its boundaries, and shape an output you can use.
We build it live in OpenAI Teams, Codex (for everything), and Claude Cowork. You'll see what good looks like before you build your own.
A skill is how your agent does the same job, the same way, every time. You'll learn what makes a real skill, how to write one that actually works, and how to build a small library you can reuse across every agent. By the end of the day, your Chief of Staff has its first two skills running on demand.
Memory is the difference between an agent that gets sharper every week and one you re-brief every Monday. You'll learn what your agent should remember, what it should forget, and where memory sits in the platforms you're using. You'll set up working memory (today's context) and long-term memory (what compounds over time).
You already use connectors with your assistants for calendar, email, Slack, and Drive. Agents use the same ones. You'll learn what changes when an agent uses them on its own, why you start read-only, and which to set up for your Chief of Staff first.
The Chief of Staff goes end to end. It reads your calendar and email, decides what matters, and takes action: blocks prep time, adds tasks to your list, archives the noise. You'll see where it gets it right, where it doesn't, and how to tighten the gaps.
Sales: Pipeline Hygiene agent. Finance: Month-End Close agent. Operations: Project Triage agent. Product: Feedback Triage agent. We'll help you find the patterns in your role you could automate and pick your next agent. Then write the job description.
This is where the OS pays off. You don't start from scratch. The agent inherits your identity, your context, your memory. You add what's specific: its job, its skills, its boundaries. You'll learn what to share across agents and what each agent needs on its own.
By Wednesday you have an Agent OS running two agents. Today you write the Playbook. The act of writing it is the work: it forces you to name what you built, see where the gaps are, and decide what to build next. By the end of the day, you know what's missing.
We build it live. You'll see the second agent come together in half the time the first one took. The OS is doing the work. Then we walk through everyone's Playbook draft.
The compound-interest moment. Until now your agents have run when you asked. Today they run on their own: a morning brief that arrives at 7am, a meeting prep that fires when a new event lands on your calendar, a weekly report that writes itself on Friday. You'll learn what to automate first, what to keep manual, and how humans stay in the loop.
A polished output can still be a bad output. You'll learn how to tell whether your agents are actually doing the job: what's useful, what's missing, what's wrong, what's risky. The review loop becomes the habit that keeps your Agent OS sharp.
Tighten the Playbook. Sharpen the agents. Pick the two or three things you'll show. You'll prepare a five-minute demo: what you built, what changed in your week, what you'd build next.
We will give everyone the chance to demonstrate their work.
Hear from executives, operators, educators, and advisors who used Lead with AI programs to redesign workflows, build assistants, and bring practical AI adoption into their organizations.
A founder and 35+ year tech leader, your instructor - Gary C. Tate drives strategy for AI-native companies and platforms. With deep experience across AI, cybersecurity, and SaaS, they’ve led regional teams and executed successful go-to-market plays across Silicon Valley, Europe, and Asia.
Sign up today to join his coaching cohort.

No. Every agent in this course is built without code. If you can use ChatGPT, you can do this.
It's a continuation building on top of what you have learnt in AI Leader Advanced.
Here we focus on building autonomous agents. While AI Leader Advanced focused on AI assistants.
Yes. We cover all 4 platforms in the course. Google does not currently have a easily accessible no code way of building agents but we will update after the Google I/O event in May.
All live sessions are recorded so you can watch it in your own time.
There is also an always-on discussion group on Whatsapp, where you can ask follow-up questions to Gary, the course instructor.
If this course doesn't fulfill your expectations, you can claim the refund within 30 days.
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Hear from professionals who’ve transformed their work and organization with our programs.