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The fastest way to improve AI search visibility is usually not a rewrite. It is a focused audit.
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
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Hot take: when people say “we can tell you used AI,” they’re usually not reacting to the AI.
They’re reacting to the lack of creative judgment behind it.
I read a post today that explained this sooo well. It basically called out what designers have always been able to tell when someone was using a tool without understanding the craft behind it. That's not new to AI.
You could tell with bad PowerPoints.
You could tell with overdesigned Canva graphics.
You could tell with random stock-photo branding.
AI just lowered the barrier to execution even more, which means taste and direction matter even more now.
Because the difference was never the tool. It was the eye behind it.
Is “taste” becoming the new technical skill?
that is true. Taste is what makes a great artist stand out especially right now, the creative space has become very mediocre and oversaturated and now with AI I believe it will weed out all of that. Taste has always been on of the components of a great artist/storyteller its...
Just wrapped up a premium branding + landing page case study for SharpHill & Co.
AI can speed up execution.
It can generate layouts, headlines, even entire systems.
But taste?
Taste is still handcrafted.
Check out the full case study on my profile
https://lnkd.in/dBBZN-zN
Want to collaborate for a project?
Fill this form or just DM me to get started!
https://tally.so/r/ODoJzp
Why AI Automation Fails Without a Real Workflow Strategy
AI automation is powerful, but many businesses fail with it because they start with tools instead of workflows.
They say, "Let’s use ChatGPT, Make, Zapier, or n8n."
But the real question should be:
Where is the business losing time every week?
Most automation problems are not only technical. They are workflow problems.
For example, a company may want to automate sales follow-ups. But before building anything, we need to understand:
Where does the lead come from?
What data needs to be collected?
When should the follow-up happen?
What should AI write?
When should a human review it?
What happens if the API fails?
Where should the final result be saved?
A good automation system is not just a chain of tools.
It needs clear inputs, clean data, fallback logic, error handling, logging, and human approval where needed.
That is the difference between a simple automation and a reliable business system.
My approach is simple:
First, understand the workflow.
Then, remove unnecessary manual steps.
After that, build the automation using tools like n8n, Make, Zapier, OpenAI API, LangChain, or custom APIs.
AI should not replace business logic.
It should make the workflow faster, cleaner, and easier to scale.
#AIAutomation #WorkflowAutomation #BusinessAutomation #AIWorkflowStrategy #n8n #Make #Zapier #OpenAIAPI #LangChain #APIIntegration #HumanInTheLoop #ErrorHandling #ScalableAutomation #AIAgents #OperationsAutomation
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