Guide GPT-4o Automation: A Game Changer for Industries

Just some time back, I was scrolling through YouTube and I stumbled upon a video about the new GPT-4o launch, that took me by surprise. As someone who's been tinkering with automation tools for years, what was demonstrated feels like it could change everything about how we work.

Throughout this blog, I'll walk you through the workflow that grabbed my attention. Whether you're trying to organize social media content, build better to-do systems, or just streamline your email drafting, this automation approach works surprisingly well with tools like monday.com and Airtable that many of us already use daily.

Understanding GPT-4o: The Foundation of Advanced Automation

Before diving into the details, let's talk about what makes GPT-4o special. I have had the time to play with both the previous and current versions and the differences are notable:

• It costs about half as much as GPT-4 Turbo did

• The rate limits are about 5 times higher (which matters when building automations)

• The vision features feel more natural when you hold your phone up to something

• It handles multiple languages way better than before

• The conversations flow naturally in real-time
  

What struck me most while testing this was how the real-time conversation aspect changes everything for automation. Instead of carefully crafting the perfect prompt, you can just chat naturally, refine ideas together, and then let the automation process take over. It feels much more like talking to a colleague than programming a computer.

Building Your No-Code Automation Workflow Step-by-Step

Let me break down how to build this workflow. I've recreated it on my end to make sure the steps are accurate, and while it looks complicated at first glance, it's pretty straightforward once you understand the logic.

Step 1: Setting Up Your Conversation Export Mechanism

Everything starts with your conversation. After chatting with GPT-4o through the app:

1. Tap on the conversation tab

2. Hold your finger on the conversation you want to export

3. Hit "Share" and pick where you want to send it (I used Slack, but Google Docs works too)
   

This exported conversation becomes the trigger for your automation. I was surprised by how smooth this part worked across different platforms - I tested it with both Make.com and Zapier, and both handled the trigger reliably.

Step 2: Processing and Formatting the Conversation Data

Here's where things get a bit technical. When your conversation exports, it comes as a URL with angle brackets around it. The problem is that these brackets can break your automation, so you need to clean them up:

1. Set up a simple GPT agent with formatting instructions

2. Have it strip out those pesky brackets

3. Prepare your clean URL for the next step
   

This intermediary step might seem fussy, but it's crucial if you want stable automations with Monday.com or Airtable, which can be picky about formatting.

Ready to start automating your workflow? Book a Free Automation Consultation Call at https://www.growwstacks.com/get-free-automation-consultation

Step 3: Extracting Conversation Content with Apify

Now comes the clever part. The video introduced me to Apify, which I hadn't used before:

1. Create an Apify account (they give you $5 monthly credit free)

2. Set up what they call a "Puppeteer scraper" to grab your conversation content

3. Configure it to pull out just the AI responses from the conversation
   

I was skeptical about this part at first, but it works surprisingly well. Apify acts like a bridge between your raw conversation and your productivity tools. And it's dirt cheap—my test runs cost about 1¢ each. For something that saves me hours of manual copying and pasting, that's a no-brainer.

Transforming Conversations into Structured Outputs

Once you've got your conversation data extracted, what do you do with it? This is where the magic happens.

Using Claude AI to Structure Your Content

While GPT-4o is great for conversation, the video suggests using Claude (Anthropic's AI) for organizing the content:

1. Feed your extracted conversation to Claude through its API

2. Give it instructions for how to format the content

3. Tell it what kind of output you want (to-do list, email draft, etc.)
   

I love this approach of using different AI tools for what they're best at. In my testing, GPT-4o created more creative, flowing conversations, while Claude excelled at turning that into structured, organized outputs.

The productivity tracker shown in the video is pretty neat—it automatically sorts tasks into color-coded priority levels. What would take me 15-20 minutes to organize manually happens instantly, and it maintains all the nuance from my original conversation.

Integration Possibilities with Popular Productivity Platforms

The beauty of this setup is how flexible it is with different platforms:

• Monday.com: I tested creating new items in my boards directly from conversations

• Airtable: You can populate bases with structured data from your chats

• Google Workspace: Generate docs, spreadsheets, or calendar events

• Notion: Build database entries automatically

• Email platforms: Draft emails based on conversation outlines
  

Get started with Make.com using our special offer: 10,000 free operations when you register through our magic link: https://www.make.com/en/register?pc=growwstacks

Cost Considerations and Technical Requirements

You'll need a few tools to make this work, but the costs are reasonable:

• Make.com: The backbone of your automation (they have a free tier)

• GPT-4o: Available with ChatGPT Plus ($20/month)

• Apify: $5 free credit covers plenty of personal use

• Claude API: Optional but helpful for formatting ($5 minimum to start)
  

All in, each run costs around 1¢, which is incredibly reasonable. For businesses juggling lots of projects in Monday.com or Airtable, this could save hours of manual organization every week.

Conclusion: The Future of Conversational Automation

This integration of GPT-4o with no-code tools feels like a genuine shift in how we work. The ability to go from casual conversation to structured workflows removes a huge amount of friction from daily tasks.

If you want to try this approach, here's what I'd suggest:

1. Start with simple conversations before tackling complex workflows

2. Experiment with different outputs to see what works for your needs

3. Test integrations with the tools you already use daily

4. Refine your prompts over time to get more precise results

   
   

Have specific automation requirements? Contact our experts at admin@growwstacks.com

I've been in the automation space for years, and this feels like one of those moments where the technology takes a significant leap forward. The distance between thought and action is shrinking, and that's exciting for both personal productivity and professional workflows.

Build your automation workflow with us! Visit Us at https://www.growwstacks.com/