Projects using Claude in LondonProjects using Claude in LondonI built a way to sell physical products in an app that feels more like a gallery than a shop. 📱
What does it do?
It’s a remix-able template for selling physical products inside an app. You browse through pieces in a horizontal carousel, then scroll vertically through a product to explore it through multiple images before buying instantly with Apple Pay.
I designed it for galleries and artists first, but it works for anyone selling physical products creators, brands, influencers anything that needs to feel a bit more premium.
Why I built this:
I kept thinking about how intentional artwork is presented in physical spaces, and how transactional it feels online. This is an attempt to close that gap and making purchases feel as frictionless as possible.
Another bonus to why people will use this app is that apple does not tax physical good transactions, so sellers can keep more of what they earn. 🎉
The template remix-potential?
Works really well because users can swap in any product and it simply works! Art, jewellery, vinyls, collectibles, anything physical allowed on the app store.
This was fun I plan on refining and making more templates so I would appreciate any comments and feedback
Build Preview 👀
(https://www.anything.com/mobile-preview/68217499-f987-4843-8bcb-f7864c536abc)Build Link 🔗 (https://www.anything.com/build/aCF0mfmHSEOLy_eGTFNqvA?v=sBZM6bBFQ0CWHu4QlFbZpA) I built a working AI recruitment screening demo that shows how a hiring team can use AI without handing over the final decision.
The flow is simple:
A job spec goes in.
Candidate profiles are screened against a weighted guideline.
Each candidate gets a score, band, evidence quotes, and risk flags.
Then everything stops at a human review queue.
No auto-rejects. No silent ATS updates. No “AI decided this person is out”.
The system includes:
Candidate pipeline table
Evidence-based screening view
Human review queue
Approve / reject / snooze decisions
ATS deployment plan
Audit log for compliance
n8n workflow export with a human-in-the-loop Wait node
Optional live Claude screening path
The important part is the architecture: deterministic logic owns the workflow, gating, state and audit trail. The AI helps with judgement and screening, but the human owns the final decision.
Built with Next.js, TypeScript, Claude API, n8n workflow architecture, and a gated ATS sync pattern.
This is the kind of system I like building: AI that makes the work faster, but still respects the places where people need control.
Shorter Version
I built an AI recruitment screening pipeline with a human approval gate.
It screens candidates against a rubric, shows evidence quotes and risk flags, then routes every candidate into a review queue before anything reaches the ATS.
No auto-rejects. No silent updates. Human-in-the-loop by design.
Built with Next.js, TypeScript, Claude API and n8n workflow architecture. I run seven small businesses on a pile of AI agents. They work overnight. Research, writing, publishing, reconciling the books. It all works fine, but there was never anywhere to actually look at it. If I wanted to know what happened while I was asleep I'd open a terminal and write a SQL query, which is a stupid way to live.
So I built the thing I actually wanted.
It's called Booboo. You open it at 6am and the whole night is just sat there. 34,918 things it remembers. 61 of those it picked up last night. Nothing lost. Seven businesses, one brain.
You can pull any single thing it did apart and see the proof behind it. The few things that genuinely needed me, it holds back and asks. And before you approve anything that can't be taken back, it says so in plain words. Once it goes, it cannot be unsent.
Then it shows you the thing actually landed. Delivered, verified, logged. That bit matters most to me. I've been burned too many times by something reporting success for a job that never happened.
Every number in it is real. £2.14 of margin drift on the bakery's books, which got checked and was fine. £6.40 on an ad top-up, which is £1.40 over the spend limit I set myself, so it waited for me instead of just paying it.
Booboo isn't a mockup. It's on npm, seven packages, MIT, public repo. This is just what it looks like on a phone.
I never opened the Flowstep canvas once. Claude Code drove it over MCP the whole way. First attempt took 88 prompts and it was honestly rubbish, read like a machine wrote it, so I binned the lot and started over. Second go took 12. The only thing that changed was that I wrote every word of the copy before I wrote a single prompt.
Prototype: https://app.flowstep.ai/prototype?activeFileId=f297fc05-2898-45eb-9ac2-0021af86a027
X: https://x.com/hqfractional/status/2081716682184176077
LinkedIn: https://www.linkedin.com/posts/fractional-hq_flowstepchallenge-activity-7487482877702660096-Vz80
#FlowstepChallenge 
