Introduction: Automating the Uninspiring
What if you could automate your least favorite task at work—without becoming a programmer?
Today, with the rise of AI-powered tools, you can turn tedious, repetitive chores into automated workflows using nothing more than natural language prompts.
Even Alphabet CEO Sundar Pichai and other tech leaders have encouraged beginners to explore “vibe coding”—a method that lets anyone generate and refine code through conversational AI.
This article takes you through one journalist’s real-world experiment: building a personalized social media monitoring page with zero coding experience. The journey was far from smooth, but it revealed valuable lessons about how to communicate with AI, why simplicity matters, and how tools like Trenzest can streamline automation.
Understanding “Vibe Coding” and Its Growing Popularity
Vibe coding is a rising trend in the AI and no-code community. Instead of writing complex code manually, users simply:
Describe the functionality they want in plain English,
Let an AI model generate the initial code,
Collaboratively refine the code through back-and-forth conversation.
This approach removes a huge barrier for entrepreneurs, marketers, and tech enthusiasts who want to build real solutions fast, without spending months learning programming languages.
The Challenge: A Smarter Way to Follow CEO Feeds
For journalists, social media is often a necessary evil. One of the author’s least favorite tasks was manually checking multiple X (formerly Twitter) accounts—from figures like Donald Trump, Elon Musk, and Sam Altman—for updates.
The goal: create a single webpage that:
Displays each CEO’s posts in its own column,
Automatically updates with new content,
Requires no logins or platform hopping.
First Attempt: Lessons in Failure
The first experiment began optimistically.
Starting from scratch, the author asked ChatGPT for step-by-step guidance. It provided:
A setup plan involving basic tools,
Several lines of code to paste into a TextEdit file,
Instructions to launch a local server.
But things quickly went downhill. Errors popped up in each feed column. Every code fix led to new, more cryptic error messages. Eventually, after repeated failed attempts, the AI itself timed out with a “gateway error.”
The lesson? Even with powerful AI, miscommunication can derail automation quickly.
Second Attempt: Rethinking the Approach
After hours of frustration, a second attempt emerged with new advice from someone experienced in coding:
Simplify the goal — start with one feed instead of three.
Treat AI like a smart but inexperienced assistant, not an all-knowing engine.
Understand each step, don’t just copy-paste.
This time, instead of jumping straight to the real data, the author built a mock feed to test the structure. Once it worked, they swapped in the real data.
When faced with another error, the fix wasn’t a massive overhaul. The AI suggested switching browsers—an elegant, low-effort solution. Within seconds, the first functional vibe-coded web app was live.
Key Takeaways: What Vibe Coding Teaches You
The experience underscores some universal truths for anyone experimenting with AI:
Patience pays off: AI accelerates progress but doesn’t replace problem-solving.
Think modular: Build small, functional components before scaling.
Ask better questions: AI performs best when you guide it with clarity.
Embrace trial and error: Each failure refines the prompt and the output.
These principles apply far beyond social media feeds—they can be used for marketing automations, dashboards, content tools, or lead-tracking systems.
Leveraging AI Tools Like Trenzest to Simplify Automation
While vibe coding with AI tools like ChatGPT can work, platforms like Trenzest offer a more structured and scalable path to automation.
With Trenzest, you can:
Build automated workflows without touching a single line of code,
Integrate real-time data sources like X, LinkedIn, or RSS feeds,
Deploy solutions that scale for individuals and businesses alike.
For entrepreneurs and marketers, this means less time troubleshooting code and more time executing strategies that grow the business.
Conclusion: From Frustration to Functionality
Vibe coding isn’t about becoming a professional developer overnight. It’s about learning how to collaborate with AI effectively, simplify problems, and build step by step.
If your goal is to automate small but time-consuming tasks, combining conversational AI with platforms like Trenzest can give you both flexibility and reliability. Start small, experiment, and don’t be afraid to fail a few times along the way.
