6 months ago, I stopped opening ChatGPT.
I haven't gone back.
The way I work with AI in 2026 looks nothing like 2024.
If you're still typing prompts into a chat box, you're 2 years behind.
The shift comes down to one word swap:
Prompt engineering → Context engineering.
Prompt engineering means sitting down and typing clever questions.
Context engineering means giving AI a permanent memory of you, your business, your style, and your past work.
So you don't even have to type the question.
Think of it like hiring.
Day 1 with a new employee: hours of briefing.
Day 90: they don't need the briefing anymore.
Context engineering is exactly that, except the AI absorbs everything for you. And it never quits.
I run a $600K/year AI consulting business. 50+ projects. 15 industries.
I spend most of my days reviewing AI work, not creating it.
5 trends made this possible:
1. Agentic coding (AI does the work, you review)
2. Open-source agents (run AI on your own hardware)
3. Self-updating knowledge bases (your notes become a personal wiki)
4. AI memory that actually works (beyond naive RAG)
5. Workflow-native AI (AI lives where you already work)
These look like 5 different stories. They're not.
They're all describing the same thing:
AI that lives where you work, remembers what you did, and can act on your behalf.
Stack them together and you don't have a chatbot anymore. You have a coworker.
Most business owners have no idea any of this is possible.
That's the opportunity.
I just filmed a full breakdown of all 5 trends:
What each one actually means.Â
How they connect.Â
And why the people who understand this will spend the next decade getting paid to build it for businesses that can't.
Comment TRENDS below and I'll DM it to you.
Like, comment TRENDS, and connect with me so I can send it.
I haven't gone back.
The way I work with AI in 2026 looks nothing like 2024.
If you're still typing prompts into a chat box, you're 2 years behind.
The shift comes down to one word swap:
Prompt engineering → Context engineering.
Prompt engineering means sitting down and typing clever questions.
Context engineering means giving AI a permanent memory of you, your business, your style, and your past work.
So you don't even have to type the question.
Think of it like hiring.
Day 1 with a new employee: hours of briefing.
Day 90: they don't need the briefing anymore.
Context engineering is exactly that, except the AI absorbs everything for you. And it never quits.
I run a $600K/year AI consulting business. 50+ projects. 15 industries.
I spend most of my days reviewing AI work, not creating it.
5 trends made this possible:
1. Agentic coding (AI does the work, you review)
2. Open-source agents (run AI on your own hardware)
3. Self-updating knowledge bases (your notes become a personal wiki)
4. AI memory that actually works (beyond naive RAG)
5. Workflow-native AI (AI lives where you already work)
These look like 5 different stories. They're not.
They're all describing the same thing:
AI that lives where you work, remembers what you did, and can act on your behalf.
Stack them together and you don't have a chatbot anymore. You have a coworker.
Most business owners have no idea any of this is possible.
That's the opportunity.
I just filmed a full breakdown of all 5 trends:
What each one actually means.Â
How they connect.Â
And why the people who understand this will spend the next decade getting paid to build it for businesses that can't.
Comment TRENDS below and I'll DM it to you.
Like, comment TRENDS, and connect with me so I can send it.