OpenAI API & ChatGPT for Automating & Business Productivity

ChatGPT is an OpenAI natural language processing tool that generates human-like text. It uses machine learning to enable chatbots, virtual assistants, programming help, translation, learning, automation, research, and entertainment.

Set up your OpenAI ChatGPT account, sign up or log in, choose GPT-3.5 free or GPT-4 paid, and navigate the chat interface with tips and model switching.

Prompts are the input you provide to ChatGPT to obtain output, with short-term memory guiding context and relevance; longer, well-phrased, descriptive prompts yield more accurate, engaging responses.

Craft specific, descriptive prompts for ChatGPT to generate targeted results. Experiment with prompts, refine and iterate based on feedback, and use act as a phrase to guide responses.

Discover OpenAI models such as GPT four, GPT 3.5, GPT base, Dall-E, and whisper, and learn how chat completion enables building conversational agents.

Learn how APIs, or application programming interfaces, enable apps to communicate via defined protocols, using a restaurant analogy; discover private, partner, and public APIs and their automation benefits.

Explore how GPT, a generative pre-trained transformer, enables natural language understanding and generation by learning from data, designing prompts, and predicting next words.

Explore how OpenAI models are trained algorithms powering tasks like text generation, translation, image recognition, and audio-to-text, with examples including GPT-4, GPT-3.5, Dall-E, and Whisper, and learn about chat completion.

Explore the playground interface to experiment with the OpenAI API, and learn how system, user, and assistant shape conversations, messages, and related settings like credits and billing.

Explore how tokens power OpenAI models, how tokenization converts text into tokens, and how token limits, pricing, and efficiency affect API usage.

Discover OpenAI pricing and rate limits, including GPT-4 and GPT-3.5 turbo costs, free credits, and strategies to optimize usage through batching, monitoring, and caching.

Set up your bubble environment by signing up, navigating the bubble.io interface, and choosing templates to create a basic app with a drag-and-drop editor.

Design a no-code user interface in bubble using drag-and-drop, featuring a header, input and output sections, and a multiline prompt field, with a submit button to send queries to OpenAI.

Install the api connector plugin in your bubble app, create an OpenAI API call by importing a curl request, then configure url, headers, and api key to initialize the call.

Transform static inputs into dynamic prompts by wiring the text box value as the OpenAI API call's prompt parameter and testing in the workflow.

Explore a project using OpenAI to analyze restaurant reviews. Trigger analyses in a table, classify sentiments as positive, neutral, or negative, and generate hashtags to extend workflows.

Learn to generate ten sample restaurant reviews with a ChatGPT prompt, paste them into a table, remove quotes and placeholders, and adjust row height for analysis.

Integrate Airtable with Make.com to analyze review sentiment using OpenAI by triggering a custom webhook from a table button, passing the record ID, and updating results back in Airtable.

Explore fetching a specific review from Airtable via Make by creating a connection, selecting the base and table, and retrieving the record by ID to prepare for OpenAI processing.

Configure and run a sentiment analysis pipeline by sending review text to OpenAI, creating a chat completion with a system prompt and user review, using Make for API connections.

Integrate OpenAI and Airtable via Make.com to analyze review sentiment and update the Airtable record with the OpenAI output, using the record ID and appropriate permissions.

Integrate OpenAI to categorize emails using category-specific prompts and templates, configure the connection, and test the workflow with prompt or chat completion to produce a category like 'inquiry request'.

Configure an Airtable integration in a Make workflow, copy the base template, authenticate connections, map categories with updated prompts, and test email routing to the right category.

Configure the email module using a preexisting connection, customize sender, subject, and html content, and test the chat-completion-driven message content from OpenAI within the flow.

Test the application by validating email automation templates generated with ChatGPT, including inquiry, complaint, and job-application emails, and format outputs as HTML or plain text.

Build an automated cold email generator using OpenAI API and Make to craft personalized emails and subjects from a leads table, including prior interactions and a demo URL.

Fetch an Airtable record by connecting a module, selecting the Email generator base and a table, passing the record ID from a webhook, and confirming the record retrieval.

Configure a router to branch flows by condition, routing to generate email or generate subject based on the from field value, and apply separate prompts for each.

Configure an OpenAI chat completion to generate a personalized cold email using a system prompt, Gmail, and templates, pulling Airtable data to fill names, designations, and tags for outreach.

Update Airtable records with AI-generated email content by connecting a webhook to Airtable, fetching the OpenAI response, and updating the email body in the designated record.

The lecture guides you to generate email subjects with OpenAI by configuring a two-flow router, selecting GPT-3.5 turbo, and using a system prompt that roles the model as a copywriter.

Update the airtable record with the OpenAI-generated subject for the selected record ID, placing it in the email subject field.

Demonstrates building a stock photo generator that converts text descriptions into images using the OpenAI DALL-E model via OpenAI APIs, with selectable image counts for internal team use.

Set up an app in the bubble dashboard and name it image fusion; design interface with a top bar, input field, and a dropdown to generate up to three images.

Display images generated by the OpenAI API in a Bubble app by triggering a generate images action with a dynamic description and count, rendering image URLs.

Enhance user experience in bubble apps by installing the Lottie plugin and adding a loading animation with Lottie files to show progress while images load.

Generate images with OpenAI's dalle from text prompts, control image count and size, and use loaders to visualize results, enabling stock photo creation for business workflows.

Learn to set up a basic interface for an audio transcriber using bubble, including a header, file uploader, and an area for transcribed text via OpenAI audio to text API.

Install the api connector plugin, create an openai api call, import a curl request, configure file and whisper-1 model, and transcribe audio to text using the speech-to-text workflow.

Send the uploaded mp3 from the bubble interface to the OpenAI audio API, transcribe it, and display the transcript in the app’s output using a transcribe button.

End to end testing demonstrates uploading audio, transcribing with the whisper model, and downloading transcripts to validate functionality, while noting file formats, 25 MB limits, and potential caption generator ideas.

Install the add-on, create a secret OpenAI API key in the dashboard, paste it into Google Sheets, and confirm the key is set, with a caution not to share.

Learn to enable ChatGPT in Excel with the talarian add-on and sign in to access a credits-based sidebar. Track 300 free credits, generate responses, and compare with Google Sheets integration.

Use the GPT function in Google Sheets to analyze restaurant review sentiments, classifying them as positive, negative, or neutral with an OpenAI dashboard prompt to boost data analysis and productivity.

Learn to fill missing data in a table of countries and capitals using OpenAI's GPT fill function by providing example rows, tweaking inputs, and parameters such as temperature and model.

Discover how to use the GPT table function to generate a top ten vegetables nutrition table, format nutrient values, and extend data with GPT fill.

Tag your data using the underscore tag to classify reviews by sentiment (positive, negative, neutral) and explore the GPT tag function with top k, temperature, and model parameters.

Explore how to classify data into categories in Sheets and Excel using the GPT underscore classify function, applying ranges to automate labeling of animals as bird, reptile, insect, or mammals.

Learn to extract information from text using AI with OpenAI, including universities, companies, and contact details. Apply the extract function to data ranges to save time and improve productivity.

Translate data sheet text using GPT translate to target languages like Spanish or French, applying range-based translations across columns and cells.