Contra - A professional network for the jobs and skills of the future

Contra - A professional network for the jobs and skills of the futureBoost Efficiency: Rule-Based Automation vs. AI in Business

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

Alex Novak

• Feb 20

Businesses don’t need AI. They need predictable systems.

A sports licensing company was manually processing 50–100 Zendesk tickets per week, spending up to 20 hours on repetitive classification and tagging.

The obvious idea was to use an LLM.

We chose not to.

Licensing errors carry financial risk, and the data followed clear patterns. Instead of adding AI complexity, we built a deterministic rule-based pipeline with regex and API automation.

Result: 15 hours saved weekly ($29K/year) with zero classification variance.

AI is powerful — but only after process architecture is solid.

Low-Code/No-Code Development N8N JavaScript

Karina

pro

• May 12

Can legally trained AI compete with mainstream image generators?

I tested Bria AI, a generative AI tool trained on licensed data, making the outputs commercially safe, similar concept to Adobe Firefly.

One feature I tried was the product shot background generator, where I created 3 different settings from a single product image.

The results feel fairly promising for quick concept exploration and mockups. But it still has some limitations with lighting adaptation depending on the scene.

That said, since I only tested one feature, there’s more to evaluate beyond this.

I included a short tutorial in the comments if you’d like to try!

Would legally trained AI make you more comfortable using AI professionally?

productphotoediting creativeaiflow briaai