For nearly 15 years, I sent @tim_cook a weekly report every Sunday night on the global App Store business. My team and I packed it with data, charts, and commentary on what was happening around the world.
Most weeks: silence. Every so often, a probing question would come back about a specific metric or market. Or, better, a note congratulating us on a strong quarter.
Those reports taught me a lot about discipline and accountability. No matter where I was in the world, I sent that report. Tim expected his leaders to know their businesses cold. Whenever I put anything in front of him, I needed to understand not just the numbers, but what was driving them and what we were doing about it. His expectations made me a much better leader.
On my last day at Apple, Tim and I had a 10-minute 1:1 scheduled. We talked for 30. Reflecting on my 21 years at the company, he told me my greatest accomplishment wasn’t helping build a $1 trillion App Store ecosystem or helping scale the business to more than one billion customers. It was the team I had built and the leaders I had developed who were ready to step up after I left. That meant the world to me. We took this photo together right after that conversation.
Today is Tim’s last day as CEO of Apple. Much has been written about what he and the company accomplished under his leadership. But perhaps his greatest legacy is the one he taught me to value: the people he developed, the culture he shaped, and the leaders ready to carry it forward.
I’ll always be grateful I got to be a part of it.
Just created a 10-page workbook on the quantum computing opportunity happening right now.
It includes everything:
• Why governments are spending $65 billion in this industry
• The 3 quantum stocks I'm looking at
• When to sell so you keep your gains
• 5 red flags I watch before every exit
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I've already shared this to 4,700 mebers in my Whop community.
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🚨 BREAKING: A new role is quietly emerging and it’s about to dominate the next 5 years.
It’s not “AI engineer.”
It’s not “prompt engineer.”
It’s the Agent Operator.
And it will sit inside almost every organization.
Most people are still thinking about AI as a tool.
That framing is already outdated.
What’s actually happening is a shift from:
humans using software to humans managing autonomous agents that execute work
This is a fundamental redesign of how work gets done.
So what is an Agent Operator?
An Agent Operator is the person who:
• Designs how agents interact with real workflows
• Connects tools, data, and systems into agent pipelines
• Translates business problems into executable agent behavior
• Monitors, corrects, and improves agent performance over time
They don’t just “use AI.”
They orchestrate outcomes.
and this matter because
Every function marketing, legal, finance, biotech is becoming “agent-compatible.”
Not because companies want it.
Because they won’t have a choice.
Agents can:
• Run research loops
• Execute multi-step workflows
• Integrate across tools without APIs breaking the flow
• Operate 24/7 at near-zero marginal cost
The bottleneck is no longer capability.
It’s implementation inside real-world systems.
Required skills for AI Agent Operator role:
→ MCPs (Model Context Protocols)
Understanding how agents access tools, memory, and structured context.
→ CLIs (Command Line Interfaces)
Because serious agent workflows won’t live in GUIs—they’ll run in programmable environments.
→ Writing skills (the file kind)
Clear specs, instructions, and structured documents.
Agents run on precision, not vibes.
→ agents dot md fluency
The ability to define agent roles, constraints, memory, and tool usage in persistent formats.
→ Business acumen
Knowing what actually matters:
Where automation creates leverage, not noise.
What happens next
Enterprises will begin to redesign workflows:
Not around employees using dashboards…
But around agents executing tasks.
That means:
• SOPs → Agent playbooks
• Teams → Human + agent hybrids
• Tools → Composable agent systems
When that shift happens, companies won’t just need engineers.
They’ll need operators who understand both the system and the business.
The leverage is asymmetric
One strong Agent Operator can:
• Replace fragmented SaaS workflows
• Multiply team output without adding headcount
• Turn ideas into execution systems in days
This is not incremental productivity.
It’s operational transformation.
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I've trained 10,000+ finance professionals across companies like Mercedes-Benz, KPMG, and Rakuten.
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This performance of this song is so perfect that no other versions can compare! Both girls are amazingly good! Everything is in the style of a bygone era: the dresses, the shoes, the hair, the makeup, the movements, the gestures, the voice, and even the timbre. Everything is just perfect!
SHOCKING: 99% of people using LinkedIn are barely scratching the surface.
Right now, the entire internet is screaming "LinkedIn, LinkedIn, LinkedIn"... But here's the truth: just posting randomly won't build pipeline.
To unlock its real power, you need to master:
- Writing posts that stop the scroll and drive comments
- Building a posting strategy that compounds over time
- Optimising your profile to convert visitors into leads
I spent 100+ hours building and training the most complete LinkedIn GPT for 2026 and compiled every framework, template, and strategy into one tool.
I'll give it to only 4,500 people.
To get it:
1. Follow me MUST (so I can DM)
2. Comment "GPT"
3. I'll DM you the tool
If you don't follow or comment, you won't receive it.