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
Received some advice recently to make whatever you're offering be hyper specific, so you are known as the person who does THAT THING rather than everything.
With that in mind..
I SET UP YOUR SYSTEMS AND DO AI STUFF
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
Most AI projects do not fail because the model is weak.
They fail because the system around it is weak.
Poor context. No memory strategy. Unreliable integrations. No evaluation. No fallback logic.
When I build AI agents, I focus on the full system around the model, not just the prompt.
That usually means backend APIs, structured context, RAG, tool integrations, queues, databases, monitoring, and clear failure handling.
The goal is simple: make AI useful in production, not just impressive in a demo
Another project I wanted to share: PerceptionX.
It helps teams understand how AI represents their company to potential hires. My role covered the website design and Webflow development.
The interesting part was figuring out how to introduce an unfamiliar idea clearly, then carry that through the pages and interactions.
Sharing a little look at the finished site below. Curious to hear what you think!
Clients often start with the same request: "Let's build an AI agent."
My counter-question is always: which manual process actually costs you time, errors, or money right now?
My selection rule: remove it first. If it can't be removed, simplify it. If it's still needed, automate it with a plain script. Only then add an integration or an agent. Often the best result is the process that no longer exists.
Safe automation means real scenarios, error handling, and alerts. Without alerts, a workflow can silently lose data for weeks. I always define what stays with a human and what goes to the system.
Question for you: which process would you automate first, and why is it still manual?
Service for audit and implementation: https://contra.com/s/BmWLbgFU-ai-automation-from-your-dream-to-working-implementation?r=auto_booster
