How to Create an AI Product for Beginners? Basic Concepts and First Steps

This post is about the most basic things that someone who is not a developer needs to understand if they want to create their own AI product.

Let’s assume we’re starting with minimal resources and on our own.

An AI product, for example, could be an AI assistant for B2C use cases.

When diving into the topic, you’ll immediately be hit with a wave of terms and technologies. There’s NO need to try to understand everything, and especially not to train and fine-tune language models (LLM).

LLM (Large Language Model) is a type of artificial intelligence designed to work with human language. They are trained on large volumes of text and can perform a variety of language-related tasks, such as answering questions, generating text, and translations.

It’s a core component for the product, and in this case, it will be sufficient to use a ready-made and user-friendly one — ChatGPT.

At a high level, the flow for creating an AI product would look as follows:

1. define the use case(s)
2. create prompts for them
3. wrap them in a wrapper
4. connect with an LLM

Thus, the full focus when creating an AI product in this case will be on:

• the product itself, which will solve a specific user request (study the target audience, use Jobs To Be Done, identify the most relevant use cases)
• prompt engineering

The technical stack in all this is not the most complex component. For the LLM — use ChatGPT, and the wrapper can be made on Bubble or FlutterFlow.

A visual example:

The LLM is like a huge pot of jelly. And you need to make a very thin straw for a specific target audience, so they can properly drink this jelly at the right place. Your product is the straw. The full focus is on it.