The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Users kept reporting something was "off." No error. No trace. Nothing in the logs.
We spent days looking at the system.
Wrong move.
The moment we switched to watching how people actually use the product — tabs open, sessions overlapping, mid-flow refreshes — it clicked.
The bug was never in the code. It was in the assumption that users behave like the happy path in your tests.
They don't. They multitask, they wander, they come back 10 minutes later.
Made critical actions idempotent, removed state dependencies, added guards for parallel execution.
Bug gone. Assumption updated.
Write code for the user you have, not the user you imagined.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Off Book Self-Tape Studio, North Hollywood. One booth, one owner, no waiting room.
An actor gets a self-tape request with a 12 to 48 hour deadline and texts the studio at 11pm. The owner is behind the camera and cannot answer, so the booking walks to someone who did. Off Book fixes that. It reads the inbound message, works out the deadline, offers the open slots that beat it and holds the booth with a Stripe deposit, all without the owner touching the phone. A cancellation refills itself from the waitlist. The owner sees one dashboard: messages answered, slots refilled, no-shows prevented, revenue protected.
Built entirely in Lovable: Lovable Cloud for the database, auth and row-level security, the Lovable AI gateway for the text-back and Stripe for the deposit. Everything in the demo is a real capture from the live app.
A client's site went down last week. Not slow. Gone.
The host had suspended the account because visitors were being bounced to spam pages, and browsers were showing a big red warning on top of that.
Deleting the spam was the easy part. The real work was the stuff nobody could see:
• injected code hiding inside normal-looking files
• backdoor files that would have let the attackers walk straight back in
• admin accounts nobody at the company had ever created
If you only remove what's visible, you're usually cleaning the same site again a week later.
After the cleanup: firewall and login protection, everything updated, every password reset, unused plugins and themes removed. Two days start to finish, and the site has been back up since.
If your site is suddenly redirecting somewhere weird, don't wait for your host to notice first.
One ordinary shift, replayed through an n8n order intake, lost 14 of 120 orders.
The replay had the interruptions that really happen, like a site restart and an e-mail limit. The old workflow lost EUR 2,504 of revenue and failed ten times without telling anyone, while the dashboard still looked fine. The repaired one lost none, and every remaining failure reaches a person in Slack. 45 automated checks confirm the numbers.
The ceramics studio is invented for the demo.
https://flowlab-dev.github.io/work/automation-repair/
How would you know today if your workflow dropped an order last night?
