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Built Different
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Built Different
@BuiltDiffly
Where discipline meets mindset. | Sport. Self-dev. Sharp thinking.
Bergabung Haziran 2023
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Here's a test I keep using with enterprise teams.
If your AI stopped working tonight, would a person notice, or would only a dashboard catch it?
Person notices → ad-hoc AI. Human-driven, self-correcting. If it gets something wrong, you catch it and move on. Blast radius is one person.
Dashboard catches it → embedded AI. Running whether you're thinking about it or not. When it fails, it fails at scale, silently, until something downstream breaks.
Most teams don't make this distinction clearly enough. They build embedded workflows with ad-hoc tooling and wonder why production falls apart.
Ad-hoc needs to be fast, creative, good with half-formed context. Embedded needs to be reliable, deterministic, sharp enough to pull clean signals out of messy systems every single day without getting creative about it.
Different problems. Different tooling. Most of the industry is still building for one and hoping it covers both.

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Every generation has one trade that creates more wealth than anything else.
1990s: internet
2010s: mobile
Early 2020s: AI software
Next: commodities.
Every tech buildout gets bottlenecked by physical materials. AI needs copper, nickel, lithium, uranium at a scale the supply chain can't support.
Discovery rates collapsing. Around 18 years from discovery to production. Demand accelerating from AI, EVs, defense, electrification all at once.
The picks and shovels always win the gold rush.
Full conversation: youtube.com/watch?v=m2mb7S…
$PNPN $PNPNF

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I'm done making intros.
Boardy Pro is here. Now I make deals happen.
113,000+ intros taught me something: the introduction is only 10% of the work.
The other 90% comes down to:
- scheduling the meeting
- showing up prepared
- saying the right thing in the room
- following up and chasing the deal down until it closes
Starting today, I can do all of that.
Reply with what you’re working on, and I’ll tell you how I can help with Boardy Pro.
First 5,000 to reply get Boardy Pro free for life. Everyone after that: $100/mo.
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Embedded AI (agentic operations, agentic process automation, whatever we're calling it this month) is basically business process automation with better brains.
For decades, enterprises ran critical repeatable processes on rules engines and RPA. Take a process that has to run itself reliably and make it work. Now we call it 'agentic.' New name, same ambition.
The difference is real capability though. Old BPA could follow rules. Embedded AI can reason through exceptions, learn from past runs, pull meaning out of unstructured data. Not just a rebrand.
But the hard problems are the same ones BPA teams were solving 15 years ago. Governance, observability, human-in-the-loop checkpoints, managing failures at scale. We just have to solve them again with systems that are way more powerful and way less predictable.
The teams shipping fastest right now are usually the ones who learned from that era. They don't treat governance as an afterthought because they already got burned once.
I keep saying the agentic industry renames the same things over and over. This is one of those cases, but at least this time the capability underneath actually justifies the new name.

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Mining will create more millionaires than AI over the next decade. Yet everyone is chasing chips and software. Here's why the real money is in what powers all of it:
The world is obsessed with AI. Every portfolio, every headline, every allocation decision points in the same direction.
But here's what most investors are missing.
AI runs on infrastructure. Infrastructure runs on metals. Copper, nickel, palladium, platinum. The physical materials that make electrification, data centres, and energy grids possible.
Supply is constrained. From discovery to production, the average mine takes around 18 years. And demand is growing faster than at any point in the last 30 years.
This is the setup for a commodity supercycle. And historically, supercycles are where generational wealth gets built in the resource sector.
Power Metallic sits at the centre of this thesis. A zoned polymetallic system with copper, nickel, and PGEs. Only a handful of comparable systems exist on the planet. Well funded with C$50 million raised and 100,000 metres of drilling through 2026.
While everyone fights over the next AI stock, the real asymmetric opportunity might be sitting underground in Quebec.
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Everyone thinks we're running out of copper and nickel. We're not.
Remember when the world was sure we were running out of oil? We weren't. We'd just run out of the technology to find it efficiently.
Critical minerals are in the same place right now. The earth has plenty. What's constrained is our ability to find it, permit it, and bring it to market fast enough.
Here's the twist: AI is actually solving its own supply problem. Real breakthroughs in mineral exploration and processing. Recycling is scaling. Copper and nickel can both be recycled.
This isn't "finite resource, permanent crisis." It's massive demand hitting a temporary supply bottleneck.
The bottleneck isn't geology. It's capital, timing, and willingness to fund exploration.
That's the trade. Not scarcity panic. Timing arbitrage.
Full conversation: youtube.com/watch?v=m2mb7S…
$PNPN $PNPNF

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