Twitter
OpenAI
Google Docs
Workflow Template

Create an AI-composed essay based on someone's tweets

This automation finds tweets from a profile and creates an AI-composed essay based on a topic. The results are displayed in a Google Doc.
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Scrape data on active tab
Action
Generate essay from prompt
Action
Add text to Google Doc
Action

How does this automation work?

This playbook bridges OpenAI's GPT-3, Twitter and Google Docs to generate AI-composed essays based on a user's tweets. You can use this playbook to create content for your blog, social media, or even for your personal notes. By leveraging AI, you can generate creative and engaging content that is based on a given topic, saving you time and effort.

Here is how this workflow works:

  1. Scrape Tweets - Using the Scraper, we extract data from the currently active Twitter profile. The number of posts to extract can be specified.
  2. Merge Text - Bardeen merges the scraped tweets and your given topic into a single text string. This string will be the basis for the AI to generate the essay.
  3. Generate Essay - OpenAI's GPT-3 uses the input from the previous step to generate an essay. You can specify the writing style.
  4. Add to Google Doc - The AI-composed essay is then added to a specified Google Doc. This allows you to easily access, edit, and publish the content.
Run this Google Docs automation with Bardeen in minutes.

How to run the workflow

Twitter is a great platform for sharing ideas and connecting with people from all over the world. But what if you could use it to generate essays on any topic, simply by picking a specific profile?

That's exactly what this automation does. It analyzes the tweets of a chosen Twitter user and creates an AI-composed essay based on a topic you choose. The results are displayed in a Google Doc, so you can easily share them with others or keep them for yourself.

This tool is perfect for anyone who wants to quickly generate essays quoting relevant people, without having to do any research themselves.

Run this Google Docs automation with Bardeen in minutes.

Available actions & triggers

Apps:
Create an AI-composed essay based on someone's tweets
Create an AI-composed essay based on someone's tweets
Create an AI-composed essay based on someone's tweets
Types:
Both
Actions
Triggers
Generate style-matching tweet
Generate style-matching tweet
Action
Generate formatted text
Generate formatted text
Action
Find Twitter followings
Find Twitter followings
Action
Rank items from criteria
Rank items from criteria
Action
Create explanation for a question by OpenAI
Create explanation for a question by OpenAI
Action
List entities and types
List entities and types
Action
Extract keywords from text
Extract keywords from text
Action
When Twitter user follows a new user
When Twitter user follows a new user
Trigger
Classify text
Classify text
Action
Generate example schedule
Generate example schedule
Action
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FAQs

Bardeen - Playbook / Autobooks: Is it possible to create a Playbook that scrapes data from a website and sends it as an email attachment?

You can create a Bardeen Playbook to scrape data from a website and then send that data as an email attachment.

Youtube: Can I download a Youtube video to my computer using Bardeen?

Unfortunately, Bardeen is not able to download videos to your computer.

Google Sheets: What is the best way to export data to Google Sheets?

Exporting data (ex: scraped data or app data) from Bardeen to Google Sheets is possible with our action to “Add Rows to Google Sheets”.

Meetings: Is there a playbook to record and summarize meetings?

There isn't a specific AI use case available for automatically recording and summarizing meetings at the moment

Playbooks/Autobooks: How do I edit an action in a Playbook or Autobook?

Please follow the following steps to edit an action in a Playbook or Autobook.

Scraper: How can I get data from multiple sections of a profile (Eg: getting the experience section on a linkedin profile)?

Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.

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