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
One receipt got filed under the wrong client.
Two similar vendor names confused the matching logic once. Caught it in review now matching checks project context, not just the vendor name alone.
→ Small logic gaps show up exactly where you're not looking.
Nice catch on the vendor-name mix-up - adding project context to the matching logic is a solid fix that will save a lot of manual rework. Those small gaps are great teachers for building more resilient AI agents.
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
So I Recently rebranded my upcoming AI Agent Harness from "Crank" to "Pixie" which is the name of my cat. Do you think it was the right decision?
Which one do you prefer? Crank or Pixie?!
Check it out here: pixie.ecnivs.com
#FreelancerLife #AIHarness #FrontendDesign #AIAgent #ArtificialIntelligence #WebDevelopment #Design #TasteTest
5 voted
71%
2 voted
29%
7 votes
Closed
Pixie gets my vote too. Naming it after your cat makes it memorable, and it feels a lot friendlier for a tool people trust with their code. Nice rebrand.
There are a million and one things you can do with AI, which—as someone with ADHD—means I spend half my time just trying to figure out what to focus on each day.
I’ve had the concept for a stop-motion-style AI series sitting on the back burner for a long time, but client projects always kept getting in the way. Now that I finally have some open space in my schedule, I'm diving right in.
Here is a look at my recent work bringing this style to life! 👇
Lol cutie, that's really thoughtful of you by trying to test different directions with AI.
"Businesses lose time and money to invoice errors that go unnoticed until it's too late. I built an automated pipeline that extracts invoice data, cross-checks it against vendor history, and flags anomalies with clear AI-generated reasoning — all visualized in a real-time dashboard. Stack: LangChain, Groq, n8n, FastAPI, Next.js."
