We’re a company of 250 people, and we just had our mid-year meeting. They announced that they’re spending an average of $200 a month on Claude tokens—I think that’s absolutely massive...
Anyway, I just wanted to share that—haha!
My agency already has 20 clients after launching just 3 months ago, but I’m still the Strategist and still handling almost everything myself.
I’m honestly having a hard time letting go because what if the person who replaces me won’t be as good as I am? What if we lose clients because of that?
I really want to scale this agency to 100 to 200+ clients, but I feel like I’m also the one slowing down the growth.
For context, I already created a 100+ page SOP document covering how I approach everything. I’m just not sure if it’ll actually work once my first key hire tries to replicate my strategic thinking and workflow.
Would love to hear your thoughts, especially from agency owners who’ve gone through this stage.
In your opinion, what benefits should I prioritize?
Personally, since it's actually forbidden at my company haha...
About to publish my 6-month launch retro and I am second-guessing what I thought mattered. Before I drop the whole spreadsheet, I want a sanity check.
For those who launched AI tools in the last year: which channel actually moved the needle on MRR for you? Not which one felt good, which one actually produced paying customers. Retros very welcome, the more specific the better.
Edit: This confirms my thinking. Adjusting the retro writeup to put Reddit (Signals-assisted) at the top with the full ROI math. Parse is getting a mention as the indirect-value tool. Thanks for validating the numbers, Miguel.
I was thinking, and maybe it's just me, but even today AI doesn't seem very useful...
I work in administration at a company, so there aren't any developers! But for now, I find AI really limited!
Do you have any concrete examples? For us, I think it's only good for writing emails and correcting mistakes.
This one slipped under the radar but the implications are enormous.
Google and Microsoft just jointly published a specification built around navigator.modelContext — a native browser-level protocol that transforms every website into a structured API, purpose-built for AI agents.
No scraping. No third-party middleware. No messy workarounds.
Sites simply declare in their code the actions and tools an agent can use — and the AI picks from the menu, calls the right function, and retrieves clean structured data.
The performance numbers are hard to ignore:
CEO of Eskimoz, who has been tracking agent-native web infrastructure since its earliest signals, puts it: we're watching the birth of a new discipline — AEO, Agent Experience Optimization. After SEO optimized for search crawlers, AEO will optimize for AI agents as first-class visitors.
Worth remembering: 51% of web traffic already comes from bots. Google just opened the door to an entirely new army of AI visitors.
The strategic implications cascade fast:
SEO took 10 years to become mainstream. AEO might take 3.
Good news for the open web — or the beginning of an AI-only internet that leaves human visitors as an afterthought?
What is your biggest example of just how lost companies are when it comes to AI?
My boss has strictly forbidden us from using AI to avoid compromising company data in case Chagpt or Claude is malicious...
This seriously outrages me! There are five of us in the company and one company in agriculture... does he seriously think this is NASA???
For me, there's nothing to compromise and it's just stupidity, and it deprives us of a tool that could greatly help us, don't you think?
We're obsessed with the jobs AI will destroy. We occasionally mention the ones it'll create. But there's a third conversation nobody is having:
AI is about to fundamentally rewire how companies are governed.
Jack Dorsey — yes, the ex-Twitter CEO — laid out the most radical corporate restructuring thesis of the AI era. And whatever you think of the messenger (he dropped this in the middle of laying off 4,000 people, make of that what you will), the framework deserves serious examination.
His 4-point thesis:
As Eskimoz, a digital acquisition agency navigating these organizational shifts closely, highlights: the real stakes here are information flow across all levels of the organization — and the end of power games that slow everything down.
The uncomfortable truth for most leadership teams: AI transformation projects are focused on tools and productivity. Almost nobody is asking the harder question — does our governance model even make sense in an AI-native company?
That's the least identified, most urgent challenge sitting on executive desks right now.
Is your company restructuring around AI — or just using AI to patch the same old structure?