Founder @MonkAIStudio · AI-native creative agency · Automating marketing for mid-size brands · Newsletters · Content · Strategy
United Kingdom
Joined September 2022
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Most agencies sell hours.
We sell automated systems that run 24/7.
At Monk AI Studio, we build AI-native marketing engines for mid-size brands — content, newsletters, and strategy on autopilot.
How an AI-native studio actually works in 2026 ↓
Spent this week building something I didn't expect to: a side-by-side comparison of HeyZubi against OpenAI's new "dots." One worker inside ChatGPT vs. a whole team you can talk to, every output waiting for your tap before it goes anywhere. heyzubi.com
73% of small-business owners want more AI training and implementation support. Only 14% have fully integrated AI into core operations.
Every workflow needs an owner, a simple SOP, and a weekly review.
Who owns AI automation in your business?
Only 7% of organizations have built the data capabilities needed to scale advanced AI.
Automation cannot fix duplicate records or disconnected tools. Pick one system of record and clean only what the workflow needs.
Which system causes the most friction?
24% of SMB leaders cite uncertain ROI as a major AI adoption barrier.
Start with one workflow. Record the hours, errors, response time, and revenue impact before automating it. Compare the same numbers after 30 days.
What result would make automation worth the cost?
78% of small-business leaders do not fully trust AI with basic tasks without human oversight.
The answer is not endless review. Use confidence thresholds and require approval for customer promises, money, and unusual cases.
Where would you keep a human in the loop?
Security is the first AI automation bottleneck.
33% of small-business owners rank data privacy among their biggest AI concerns.
Map what the system can read, store, and act on before building the workflow.
What data stays human-only in your business?
Day 7 building HeyZubi in public.
On day 5, the Approve button was a design.
Today it sent a real post.
One tap. Sent once.
1 post. 1 tap. About 2 cents of AI.
Before that, testing on my phone found 7 bugs. All 7 fixed.
Still being built. Nothing is sent without your approval, unless you set a rule for it.
Waitlist: heyzubi.com
Would you want it to ask again after you edit?
Day 6 building HeyZubi in public.
We tried to trick our own AI team.
We hid 7 bad instructions inside a normal brief. Here's what happened.
And it couldn't have anyway. The tools weren't there.
Two locks, not one. The team says no, and there's no way to do it.
7 tricks. 0 done. Nothing posted.
One test on 2 Oct, not a proof. But it's the design: nothing is sent without your approval, unless you set a rule for it.
Waitlist: heyzubi.com
What would you test first?
Day 4 building HeyZubi in public.
You tell Zubi what you need. Zubi hands it to the right teammate. Nova makes the video, Cleo writes the caption, then it waits for your OK.
Nothing is sent without your approval. Waitlist: heyzubi.com
Day 5 building HeyZubi in public.
The only button you need: Approve.
This is the approval card, where every post from your AI team waits before it goes anywhere.
The rule I'm building around: your OK covers that exact version. Change one word and it asks again.
A bit more friction. A lot more trust.
Honest status: this video is a first look at the experience, not the finished app. The site and waitlist are live: heyzubi.com
Which task would you hand over first?