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From Manual Workflows to Intelligent Automation
Every business has repetitive tasks that consume valuable time—copying data, sending follow-ups, updating spreadsheets, or moving information between different tools.
Instead of adding more manual work, I focus on building automation systems that handle these processes reliably and at scale.
Recently, I've been working on solutions that combine:
🤖 AI Agents powered by modern LLMs
⚡ Workflow automation with n8n and Make
🐍 Python & Django backend development
🔗 API integrations with third-party platforms
📊 Custom dashboards for monitoring and management
The goal isn't just automation—it's creating systems that reduce errors, save time, and let teams focus on work that actually matters.
I'm always exploring new ways to build smarter workflows and scalable web applications.
What business process would you automate first if you could eliminate one repetitive task today?
#AI #Automation #AIAgents #Python #Django #React #n8n #Make #API #WorkflowAutomation #SaaS #WebDevelopment #FullStackDeveloper #Productivity #SoftwareDevelopment
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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I was wrong about AI and development. Here's what changed my mind.
A year ago, if you'd told me AI would touch a meaningful chunk of my actual paid work, I'd have pushed back. I thought of it as a toy for writing boilerplate — useful, but nowhere near the real craft of building something pixel-accurate, something that actually holds up in production.
I don't think that anymore.
I ship landing pages in 1-2 days now that used to take a week. Not because I cut corners — because AI removes the boring 60% (debugging syntax, Googling the same CSS trick for the hundredth time, writing the same n8n node logic from scratch) so I can spend more time on the 40% that actually makes a project good: animation feel, structure that won't break in six months, thinking about what the client actually needs.
Here's the part that surprised me most: the developers who are getting replaced aren't losing to AI directly. They're losing to other developers who figured out how to use AI as leverage, faster than they did.
I used to think "using AI" meant admitting I couldn't do it myself. Now I think refusing to use it is the actual risk.
Still think craft matters more than ever — AI can't tell you what "feels right" for a client's brand, and it definitely can't build trust with a design studio on a call. But the tools changed. Pretending otherwise isn't purity, it's just slower.
What's something you changed your mind about this year?
The shift from seeing AI as boilerplate help to using it in paid work is a relatable arc. What was the first real project where it genuinely changed your mind?
his workflow uses an AI Agent to process data, make smart decisions using IF conditions, and automatically save the results to Google Sheets.
✅ One-click execution
✅ AI-powered decision making
✅ Smart conditional logic
✅ Automatic data storage
✅ Saves time and reduces manual work
Built with n8n + OpenAI for smarter business automation.
Follow for more AI Automation, n8n Workflows, and AI Agents.
AI Automation, n8n, AI Agent, Workflow Automation, OpenAI, Google Sheets Automation, No Code, Business Automation, AI Workflow, Process Automation
#n8n #AIAutomation #AIAgent #WorkflowAutomation #OpenAI
I was wrong about AI and development. Here's what changed my mind.
A year ago, if you'd told me AI would touch a meaningful chunk of my actual paid work, I'd have pushed back. I thought of it as a toy for writing boilerplate — useful, but nowhere near the real craft of building something pixel-accurate, something that actually holds up in production.
I don't think that anymore.
I ship landing pages in 1-2 days now that used to take a week. Not because I cut corners — because AI removes the boring 60% (debugging syntax, Googling the same CSS trick for the hundredth time, writing the same n8n node logic from scratch) so I can spend more time on the 40% that actually makes a project good: animation feel, structure that won't break in six months, thinking about what the client actually needs.
Here's the part that surprised me most: the developers who are getting replaced aren't losing to AI directly. They're losing to other developers who figured out how to use AI as leverage, faster than they did.
I used to think "using AI" meant admitting I couldn't do it myself. Now I think refusing to use it is the actual risk.
Still think craft matters more than ever — AI can't tell you what "feels right" for a client's brand, and it definitely can't build trust with a design studio on a call. But the tools changed. Pretending otherwise isn't purity, it's just slower.
What's something you changed your mind about this year?
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