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AI Agent for realtime insights on meetings

Published 2 days ago

Template description

Video Guide

I prepared a detailed guide explaining how to build an AI-powered meeting assistant that provides real-time transcription and insights during virtual meetings.

Test

Youtube Link

Who is this for?

This workflow is ideal for business professionals, project managers, and team leaders who require effective transcription of meetings for improved documentation and note-taking. It's particularly beneficial for those who conduct frequent virtual meetings across various platforms like Zoom and Google Meet.

What problem does this workflow solve?

Transcribing meetings manually can be tedious and prone to error. This workflow automates the transcription process in real-time, ensuring that key discussions and decisions are accurately captured and easily accessible for later review, thus enhancing productivity and clarity in communications.

What this workflow does

The workflow employs an AI-powered assistant to join virtual meetings and capture discussions through real-time transcription. Key functionalities include:

  • Automatic joining of meetings on platforms like Zoom, Google Meet, and others with the ability to provide real-time transcription.
  • Integration with transcription APIs (e.g., AssemblyAI) to deliver seamless and accurate capture of dialogue.
  • Structuring and storing transcriptions efficiently in a database for easy retrieval and analysis.
  1. Real-Time Transcription: The assistant captures audio during meetings and transcribes it in real-time, allowing participants to focus on discussions.
  2. Keyword Recognition: Key phrases can trigger specific actions, such as noting important points or making prompts to the assistant.
  3. Structured Data Management: The assistant maintains a database of transcriptions linked to meeting details for organized storage and quick access later.

Setup

Preparation

  1. Create Recall.ai API key
  2. Setup Supabase account and table
create table
  public.data (
    id uuid not null default gen_random_uuid (),
    date_created timestamp with time zone not null default (now() at time zone 'utc'::text),
    input jsonb null,
    output jsonb null,
    constraint data_pkey primary key (id),
  ) tablespace pg_default;

  1. Create OpenAI API key

Development

  1. Bot Creation:

    • Use a node to create the bot that will join meetings. Provide the meeting URL and set transcription options within the API request.
  2. Authentication:

    • Configure authentication settings via a Bearer token for interacting with your transcription service.
  3. Webhook Setup:

    • Create a webhook to receive real-time transcription updates, ensuring timely data capture during meetings.
  4. Join Meeting:

    • Set the bot to join the specified meeting and actively listen to capture conversations.
  5. Transcription Handling:

    • Combine transcription fragments into cohesive sentences and manage dialog arrays for coherence.
  6. Trigger Actions on Keywords:

    • Set up keyword recognition that can initiate requests to the OpenAI API for additional interactions based on captured dialogue.
  7. Output and Summary Generation:

    • Produce insights and summary notes from the transcriptions that can be stored back into the database for future reference.

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HTTP Request node
Merge node
+4

OpenAI GPT-3: Company Enrichment from website content

Enrich your company lists with OpenAI GPT-3 ↓ You’ll get valuable information such as: Market (B2B or B2C) Industry Target Audience Value Proposition This will help you to: add more personalization to your outreach make informed decisions about which accounts to target I've made the process easy with an n8n workflow. Here is what it does: Retrieve website URLs from Google Sheets Extract the content for each website Analyze it with GPT-3 Update Google Sheets with GPT-3 data
lempire
Lucas Perret
Google Sheets node
HTTP Request node
Microsoft Excel 365 node
Gmail node
+5

Automated Web Scraping: email a CSV, save to Google Sheets & Microsoft Excel

How it works: The workflow starts by sending a request to a website to retrieve its HTML content. It then parses the HTML extracting the relevant information The extracted data is storted and converted into a CSV file. The CSV file is attached to an email and sent to your specified address. The data is simultaneously saved to both Google Sheets and Microsoft Excel for further analysis or use. Set-up steps: Change the website to scrape in the "Fetch website content" node Configure Microsoft Azure credentials with Microsoft Graph permissions (required for the Save to Microsoft Excel 365 node) Configure Google Cloud credentials with access to Google Drive, Google Sheets and Gmail APIs (the latter is required for the Send CSV via e-mail node).
mihailtd
Mihai Farcas
HTTP Request node
S3 node
Respond to Webhook node
+2

Flux AI Image Generator

Easily generate images with Black Forest's Flux Text-to-Image AI models using Hugging Face’s Inference API. This template serves a webform where you can enter prompts and select predefined visual styles that are customizable with no-code. The workflow integrates seamlessly with Hugging Face's free tier, and it’s easy to modify for any Text-to-Image model that supports API access. Try it Curious what this template does? Try a public version here: https://devrel.app.n8n.cloud/form/flux Set Up Watch this quick set up video 👇 Accounts required Huggingface.co account (free) Cloudflare.com account (free - used for storage; but can be swapped easily e.g. GDrive) Key Features: Text-to-Image Creation**: Generates unique visuals based on your prompt and style. Hugging Face Integration**: Utilizes Hugging Face’s Inference API for reliable image generation. Customizable Visual Styles**: Select from preset styles or easily add your own. Adaptable**: Swap in any Hugging Face Text-to-Image model that supports API calls. Ideal for: Creators**: Rapidly create visuals for projects. Marketers**: Prototype campaign visuals. Developers**: Test different AI image models effortlessly. How It Works: You submit an image prompt via the webform and select a visual style, which appends style instructions to your prompt. The Hugging Face Inference API then generates and returns the image, which gets hosted on Cloudflare S3. The workflow can be easily adjusted to use other models and styles for complete flexibility.
max-n8n
Max Tkacz
HTTP Request node
Merge node
+5

Personalize marketing emails using customer data and AI

This workflow uses AI to analyze customer sentiment from product feedback. If the sentiment is negative, AI will determine whether offering a coupon could improve the customer experience. Upon completing the sentiment analysis, the workflow creates a personalized email templates. This solution streamlines the process of engaging with customers post-purchase, particularly when addressing dissatisfaction, and ensures that outreach is both personalized and automated. This workflow won the 1st place in our last AI contest. Note that to use this template, you need to be on n8n version 1.19.4 or later.
n8n-team
n8n Team
Gmail node
Gmail Trigger node
+2

Gmail AI Auto-Responder: Create Draft Replies to incoming emails

This workflow automatically generates draft replies in Gmail. It's designed for anyone who manages a high volume of emails or often face writer's block when crafting responses. Since it doesn't send the generated message directly, you're still in charge of editing and approving emails before they go out. How It Works: Email Trigger: activates when new emails reach the Gmail inbox Assessment: uses OpenAI gpt-4o and a JSON parser to determine if a response is necessary. Reply Generation: crafts a reply with OpenAI GPT-4 Turbo Draft Integration: after converting the text to html, it places the draft into the Gmail thread as a reply to the first message Set Up Overview (~10 minutes): OAuth Configuration (follow n8n instructions here): Setup Google OAuth in Google Cloud console. Make sure to add Gmail API with the modify scope. Add Google OAuth credentials in n8n. Make sure to add the n8n redirect URI to the Google Cloud Console consent screen settings. OpenAI Configuration: add OpenAI API Key in the credentials Tweaking the prompt: edit the system prompt in the "Generate email reply" node to suit your needs Detailed Walkthrough Check out this blog post where I go into more details on how I built this workflow. Reach out to me here if you need help building automations for your business.
nchourrout
Nicolas Chourrout
X (Formerly Twitter) node
+2

Twitter Virtual AI Influencer

Twitter Virtual AI Influencer Workflow Template This n8n workflow template empowers creators to launch a virtual AI influencer that tweets regularly, engaging audiences with a unique niche, writing style, and inspiration. By automating content creation and posting, it ensures a consistent and natural online presence, tailored to your specific influencer profile. Features Scheduled Posting**: Automates tweet posting every 6 hours, with randomized posting minutes to mimic natural activity. On-Demand Posting**: Offers flexibility with manual trigger options for immediate content sharing. Influencer Profile Configuration**: Customize your virtual influencer by defining a target niche, personal writing style, and sources of inspiration. Content Generation**: Leverages advanced AI to craft tweets that resonate with your audience, aiming for viral engagement. Tweet Validation**: Ensures all generated content adheres to Twitter's character limit, maintaining quality and relevance. Workflow Steps Schedule Posting: Configured to post every 6 hours, this step introduces randomness in posting time to simulate human behavior. Trigger Posting Manually: Provides an option to manually initiate a tweet, offering control over the timing of your content. Configure Influencer Profile: Set up your influencer's niche, style, and inspiration to guide the AI in generating targeted content. Generate Tweet Content: Utilizes a sophisticated AI model to produce engaging tweets based on the configured profile. Validate Tweet: Checks if the generated tweet meets Twitter's length constraints, ensuring all content is ready for posting. Post Tweet: Finalizes the process by sharing the AI-generated tweet to your designated Twitter account. Configuration Notes Niche**: Define a specific area of interest, such as "Modern Stoicism," to focus your influencer's content. Writing Style**: Customize the tone and style of the tweets to reflect a personal touch, enhancing relatability. Inspiration**: Input sources of inspiration, including books and philosophies, to steer the content generation process. Getting Started To deploy this template: Import the workflow into your n8n workspace. Customize the influencer profile settings to match your desired niche, style, and inspiration. Connect your Twitter account through the provided OAuth2 credentials setup. Activate the workflow to start building your virtual influencer's presence on Twitter. Embrace the power of AI to create a distinctive and engaging virtual influencer, captivating your audience with minimal effort.
alexgrozav
Alex Grozav

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