“We’re already building our own setup with Claude.”
Most of the time that means: a few custom GPTs, a Notion page with prompts, and account research living in someone’s personal workspace.
That can work for a team of 5. Maybe 10.
Try it with 200 sellers across 14 countries selling multiple products into multiple verticals.
Now you have 200 different prompts, 200 different outputs, and zero governance. No consistency. No quality control. No feedback loop. No compounding. Just 200 people improvising in 200 browser tabs.
The LLM isn’t the issue. The DIY wrapper is.
At scale, “a ChatGPT license + prompt templates” is not infrastructure. It’s a distributed experiment.
The smartest teams aren’t asking “which LLM should we use?”
They’re asking: “how do we make this consistent, governed, and better every week?”
That’s the difference between a toy and a system.
Two years ago, we were calling ourselves an "AI co-founder". We just passed our SOC 2 Type II audit on request from our enterprise customers.
Let me explain what happened..
It was 2023. We built an AI that would interrogate your startup idea, stress-test your assumptions, ask the uncomfortable questions your friends won't, run a perpetual mom-test that never got tired and never lied to be polite.
It was the most first-wave llm idea imaginable. Just like AI therapists, AI girlfriends and later AI SDRs. You want the real deal.
Founders kept asking the same follow-up: "Can this thing also help me find the right customers?"
So we built that. An agent that analysed potential customers for best fit, who to pursue, who to ignore. So that all precious resources are allocated to prospects that actually want their solution.
Then one of our users forwarded it to their VP of Sales. That VP forwarded it to procurement. Procurement and enterprise architects booked a security assessment meeting.
That was the moment I realised: we're not a quirky AI tool anymore. Enterprise doesn't want a sidekick. They want infrastructure. And they want to know their data is safe. "Don’t worry about it" is not an acceptable answer in a vendor risk assessment.
Hence we are now SOC 2 Type II. It's official.
From a quirky tool to enterprise infrastructure in 2 years. I still can't fully believe it myself.
Now if you'll excuse me, I need to go lie down. Hoping nobody will invent SOC 2 Type III.
"Intent" became a whole lot of nonsense.
A website visit from someone at a 4000-person company is called intent.
A CEO publicly announcing they're adopting a solution for a problem you solve is also intent.
A vendor giving you a score they can't explain is intent.
And a framework built over months that recognizes buying patterns is intent.
These things have nothing to do with each other. And no single signal tells you anything.
A job posting means nothing on its own. Neither does a news article.
‘’Saw your recent funding round!’’ Come on, please.
You need the full story. A structured narrative.
Intent isn't binary. It's not "they're in the market" or "they're not." It's layered, specific to your business, compounding over time. It requires interpretation and constant refinement.
But none of that is possible when we use one word to describe everything from an anonymous pageview to a pattern of strategic behavior observed over months.
Now I'll be waiting for someone to pick up this post as "intent" and sell it to an intent solution provider, so I can use it as an example in my next post of how broken this whole thing really is.
#gtm #intent
“Hi Vincent, we’ll help you book more relevant meetings.”
They emailed the one company on earth that profits from them being wrong.
Every week, I get cold emails from lead gen agencies trying to sell me outbound services.
We build an enterprise GTM intelligence platform. We exist because spray-and-pray outbound doesn’t work. And yet, they can’t even figure out who they’re emailing.
Recent highlights:
“We only book relevant conversations.”
This conversation isn’t relevant.
“We help you reach more companies that benefit from smarter sales.”
You didn’t reach the right one.
“We target your ideal customer profile.”
We’re not it. Not even close.
Every one of these emails is a live case study against the product they’re selling.
It’s not one or two. It’s constant. Different agencies, same pattern: zero research, zero targeting, just volume dressed up as “strategy”.
If they can’t get targeting right for their own business, imagine what they’ll do with yours.
Automating outreach to the wrong accounts isn’t efficiency. It’s just scaling the mistake.
If European leaders are in on this whole reverse-Versailles humiliation thing it’s the political play of the century and our grandchildren will be talking to an LLM about it.
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