Master AI-Generated Logo Design using Nano Banana

Along with two other approaches, understand and use the 7-step prompt framework for generating great logos with Nano Banana. Master a lot of real-world prompting tactics along the way.

Can ChatGPT generate usable graphic designs yet?

Spoiler alert: Yes and No. It depends on the type of graphic design and use case. In this lesson, I’ll walk you through how I, a web designer, developer, blogger, and a small business owner, use ChatGPT for creating visuals like product photos, infographics, and logos. “Jack of all

How to create AI product photography using ChatGPT

There are many tools for creating product photography shots using AI. But I feel ChatGPT provides more creative control because it doesn't limit you with templates. For the purposes of this lesson, I will show you how to create a simple product photographic shot from scratch in four

What is a vector database and how it works

Powered by embedding models and vector embeddings, Vector databases let you search by meaning and "exact match" keywords. It is the best of both worlds.

Project: Getting website performance score automatically

The problem I have a client who runs a digital marketing agency and works with over 45 doctors. Each doctor has their own website, and the agency is responsible for keeping these websites SEO-friendly and running smoothly. Part of their job is to send each doctor a monthly performance report.

How to create credentials for Google APIs

Google lets you access all its powerful services by providing an API for each one: 1. Places API (Premium)- Provides detailed information about places (e.g., businesses, landmarks). 2. Custom Search API — Enables developers to add web search and site search capabilities to their websites or create SEO tools

The core components of an API-based HTTP request

Now that you understand how websites, URLs, and APIs work, let's go a level deeper and see what makes up an HTTP request. As I mentioned in the last lesson, every HTTP request consists of six parts: 1. The API endpoint– Where the request is sent 2. The

The purpose of the HTTP protocol

Understanding URLs and Websites We use websites every day and access them using unique URLs, right? For example, we type in the URL https://www.google.com to access Google's website. Similarly, we type in the URL https://www.instagram.com to access Instagram's website. Just

Manually crafting APIs requests using HTTP modules

As you already know, the official apps on Make.com makes it really easy to work with popular services like Google Sheets, Convertio, Airtable, and a ton of other services. But sometimes, you need to work with APIs that don’t have an official app on Make.com. For example,

Delay the next step of the automation using the Sleep module

Sometimes, it's best to delay the next step of an automation rather than executing it immediately. For example, if ChatGPT's analysis determines that an applicant is “Not Recommended,” we should send them a rejection email. But instead of sending the rejection email immediately, we can send

Challenge: Notify HR When an Applicant is a Strong Hire

So far, we’ve built a solid automation: It works well, but we can make it even better! Right now, ChatGPT evaluates resumes and gives a Final Recommendation with one of these four options: 1. Strong Hire 2. Potential Hire 3. Need More Information 4. Not Recommended Now, let’s

Solution: Requesting ChatGPT to respond in JSON Format

The solution to our problem is two-folds: 1. First, Instead of receiving a long text response from ChatGPT, we need ChatGPT to output its analysis in JSON format. 2. Next, we need to force Make.com to parse the structured JSON data produced by ChatGPT and convert that data into

Make.com AI Automation

The Problem: Extracting key details from ChatGPT response

In order to understand the problem, we should try to map the key details from ChatGPT’s verdict to the corresponding columns in the Airtable base. But before that, we need to implement the following steps: 1. Add the “Create a Record” module from Airtable at the end of the

Make.com AI Automation

Using the capabilities of AI and ChatGPT inside Make.com scenarios

The Agenda Here is the automation we have built so far: 1. Using Tally’s module, we’ve set up a webhook to detect resume submissions. 2. When a resume is submitted, the automation instantly gets triggered and sends the resume file to the Convertio API. 3. Finally, Convertio converts

How to perform file conversion on the fly during an automation run

In the last lesson: 1. With the help of Tally's “Watch New Responses” module, we set up a webhook that listens for form submission events. 2. Once the form is submitted, we receive its details in a bundle, including the file URL of the uploaded resume. If you

Make.com AI Automation

How to test an automation with webhook as its trigger module

If you remember, Tally has shared a link for accessing the form: Your form link will look different. Use it to submit a resume. You can either use your resume or my resume as the file upload: naresh-devineni-resume-2024Download “Okay! I have submitted the form, but the automation didn't

Make.com AI Automation

Adding a webhook trigger to our automation

Webhooks Recap Unlike the automations we have built so far, the resume screener automation only needs to run when someone submits a CV. In other words, instead of running all the time or manually running at the click of a button, the automation should wait for the event (a CV

Make.com AI Automation

Setting up the APIs of Tally.so, OpenAI, Airtable, and Convertio platforms

For the automation to kick in, an applicant must fill in the job submission form. That's the input data for our automation. From there, the automation will take control. So... First, we should build a form on the Tally.so website. The need for a form builder service

Make.com AI Automation

Project: Resume Screener Automation

I know, most of you are not HR. So, building this automation could get boring for you. Having said that, this automation helps us understand the following concepts: 1. Arrays and Collections 2. How to use AI inside an automation in a good way 3. Making the automation sleep for

Make.com AI Automation

Using the power of AI inside your automations

The need for AI in task automations Most task automations don’t require AI to be useful and time-saving. But for some, it becomes obvious to take AI's help, and it makes your automations instantly smarter. This is especially true for tasks like social media posting, resume screening,

Make.com Automation Triggers

Keep an eye on the timezone when scheduling automations

I once scheduled a time-sensitive automation at the correct time but in the wrong time zone. And the client got angry. So, don't repeat my mistake. Always Double-Check the Time Zone Before scheduling any scenario in Make.com, always double-check the time zone it will run in. I

Make.com Automation Triggers

How to schedule automations on a particular time and date

If you remember, we have built a “Post Tracker” automation as an exercise: The client loved it and asked us if it can be scheduled to run at 02:00 pm every day. I said: “Oh yeah!” And here is how easy to achieve it. How to schedule an automation

Make.com Automation Triggers

Understanding trigger modules

The first module we add to an automation is called as the trigger module. For example, we have created three automations so far: 1. Quote Generation 2. Payment reminder 3. Post Tracker Notifier And if you observe, we have used the “Search Rows” module from the Google Sheets app as

Make.com Automation Triggers

Different ways of triggering automations

So far, we have been triggering the automations manually by clicking on the “Run once” button. But depending on the type of automation we are dealing with, manual triggering is not always the answer. Let me elaborate… There are three most common ways to trigger task automations Trigger TypeWhen to