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We created Cursor for AI Training, an agentic platform to help teams fine-tune models faster and cheaper by automating the ML pipeline from data prep to evals, with no human in the loop using natural language.
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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The biggest mistake businesses make with AI come and learn.
They think they need more AI tools.
They don't.
What they really need is one AI solution that solves one expensive problem.
I've seen businesses pay for:
1. ChatGPT Plus
2. Claude
3. Gemini
4. Cursor
5. Multiple automation platforms
Yet their teams still spend hours every week on repetitive work.
Why?
Because buying AI tools isn't the same as building an AI workflow.
The businesses getting the best results aren't using the most tools.
They're asking better questions.
Instead of:
❌ "Which AI tool should we buy?"
They ask:
✅ "Which task costs us the most time every week?"
That's where AI creates real ROI.
Whether it's lead qualification, customer support, document processing, internal approvals, or reporting, solving one bottleneck often delivers more value than adding five new AI subscriptions.
That's how I approach every AI project:
Start with the business problem.
Then build the AI solution.
I'm curious...
What's one repetitive task in your business that you'd automate tomorrow if you could?
I'd love to hear how others are thinking about AI adoption.
#AI #Automation #BusinessAutomation #AIEngineering
I like your thoughts. In which domain are you building a product?
Your Supabase app is working… but your database is still exposed? 🔐
One mistake I see developers make is setting up authentication and forgetting about Row Level Security (RLS).
If you're using Supabase, don't just create your tables and move on.
Make sure you:
✅ Enable RLS on your tables
✅ Create policies for who can read data
✅ Create policies for who can insert or update data
✅ Never expose sensitive service keys in the frontend
✅ Test your policies with different user accounts
Authentication tells you who the user is. RLS helps control what they can access.
Have you ever had an RLS policy block something that should have worked? 👇
Impressive, thanks for the tips love ❤️
Deployment & Publishing: From Development to Production
Building a great application is only part of the journey—the real challenge begins when it's time to deploy and publish it for real users. During this project, I focused on taking a full-stack application from a local development environment to a secure, scalable production environment.
Like many developers, I encountered several production-specific issues that didn't appear during local development. These included missing environment variables, failed production builds, API routing mismatches, CORS restrictions, incorrect base URLs, and database connection errors after deployment. These problems are common because production environments behave differently from local machines.
To resolve these issues, I carefully reviewed build logs, validated environment configurations, optimized API routes, secured server-side variables, corrected deployment settings, and tested each stage before publishing. I also implemented production-ready error handling, performance optimizations, and deployment best practices to ensure the application remained stable, secure, and fast after going live.
My advice to developers and startups is to treat deployment as part of the development process rather than the final step. Test production builds early, manage environment variables securely, monitor application logs, and automate deployments whenever possible. A successful launch is built on preparation, testing, and continuous improvement—not luck.
#Deployment
#Publishing
#WebDevelopment
#FullStack
#DevOps
#CloudDeployment
#ProductionReady
#NextJS
#React
#NodeJS
#Vercel
#Render
#Railway
#Docker
#AWS
Great advise👍