Is "Vibe Coding" Just for Demos? How I Built a Daily Voice to Task App in 10 Minutes

A client asked me recently: "Is AI coding actually ready for production, or is it just for flashy Twitter demos?"

I told them: It’s ready. In fact, I use it to run our own internal operations.

The biggest friction point for our team wasn't complex engineering problems. It was forgetting ideas.

I used to have brilliant marketing ideas or critical to-do items while walking, driving, or commuting. By the time I got to the workstation, they were gone. The friction of unlocking a phone, opening a notes app, and typing it out was just high enough to stop me from capturing the value.

So, I built a tool to fix it. It took me 10 minutes.

Now, I capture every idea on the go, straight to our project management system, without typing a single word.

In this guide, I’ll walk you through exactly how I built a "Voice to Task" app using Lovable and n8n, and how you can clone it for your business for free.

It’s not just a demo. It’s a production productivity tool.

I’ve created a short video breaking down exactly how this automation works:

The Architecture of Voice to Task App

When you build with AI, you don't need a team of engineers for simple internal tools. You just need the right stack. Here is the exact combination we used to kill the "forgotten idea" problem.

1. The Frontend: Lovable

This is the "Vibe Coding" layer. Instead of writing React code or hiring a UI designer, we simply described what we wanted: "Make a simple voice recorder app that sends audio to a webhook."

  • Role: Handles the user interface and captures the microphone input.
  • Speed: Generated in seconds.

2. The Backend: n8n

This is the automation powerhouse. Think of it like Zapier, but infinitely more flexible and self-hostable.

  • Role: Receives the audio, processes the logic, and talks to other apps.
  • Benefit: Visual workflow builder that handles complex logic easily.

3. The Intelligence: OpenAI

We don't just want a voice memo. We want structured data.

  • Whisper API: Transcribes the audio file into perfect text.
  • GPT-4o: Acts as an "Agent" that reads the text, understands the context, and formats it for our specific to-do list structure.

4. The Destination: ClickUp (Or Anything)

The final resting place for the task.

  • Flexibility: While we use ClickUp, you can swap this node for Notion, Asana, Trello, or Slack in about 30 seconds.


The Workflow: From Voice to Database

Here is what happens under the hood when we press "Record":

  1. Audio Capture: The Lovable app records the voice and sends the file to a specific URL (the Webhook).
  2. Transcription: n8n catches that file and sends it to OpenAI's Whisper model. It returns raw text.
  3. Intelligence Layer: This is the magic part. An AI agent reads the text. It doesn't just copy it; it understands it. If we say "Remind me to call the client about the Q3 report," the AI extracts "Call Client" as the task name and "Q3 Report context" as the description.
  4. Execution: The formatted data is pushed into ClickUp via API.

The Result: We speak, and 5 seconds later, a fully formatted task appears in our project management dashboard. Voice in, task out.


Get the n8n template and the lovable app here:

Why This Beats Native Voice Memos

You might be asking: "Why not just use Siri or the Voice Memos app?"

The difference is Actionability.

  • Voice Memos are where audio goes to die. You have to listen to them again later and manually transcribe them. That's friction.
  • Siri/Assistant is often limited to their ecosystem (Apple Reminders or Google Tasks) and lacks context.

With this AI code approach, the "Agent" in the middle allows for complexity. We can ramble for 30 seconds about a marketing strategy, and the AI agent will summarize it, bullet-point the key actions, and put it in the "Marketing" folder of our ClickUp.

It filters the signal from the noise.

Conclusion: Removing Micro-Friction

Building this wasn't about creating the next SaaS unicorn. It was about removing one small piece of friction from our daily operations.

When you remove the friction between having an idea and capturing an idea, you start capturing more value.

This is the promise of AI coding. It's not just for big migrations or enterprise software. It's for the 10-minute builds that make your internal workflow 10x smoother.

If you want us to build custom automations and internal tools for your business, let’s talk.

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Founder @ Simflow AI, NHS Doctor, UK

AZKY doesn't just try to build whatever you ask them to. They take time to understand your business objectives and propose changes based on what we might actually need. This way, they quickly became an integral part of our business.

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