10x Your Productivity with AI! No-Code Automation with VectorShift

Leon van Zyl
24 Apr 202417:37

TLDRThis tutorial demonstrates how to automate daily tasks using AI on VectorShift, a no-code platform. It showcases creating an AI application to respond to emails and a process automation example using Typeform to collect user inquiries, which are then answered by an AI model referencing a knowledge base. The video guides through setting up the automation, integrating with Gmail, and deploying the AI-powered response system.

Takeaways

  • 🧠 VectorShift is an easy-to-use AI automation platform that allows you to set up no-code automations.
  • 🔄 Process automation can enhance productivity in both personal and business contexts by listening to events in third-party applications and triggering AI pipelines.
  • 📧 An example of AI application is an automated email responder that uses AI to formulate responses based on incoming emails.
  • 🆓 VectorShift offers a generous free tier, making it accessible for users to follow along and experiment with AI automations.
  • 🔗 The platform provides numerous integrations and is continuously adding more to its list, balancing AI capabilities with business automation needs.
  • 🤖 The video demonstrates building an AI application that responds to user inquiries from a form and drafts an email in Gmail based on the responses.
  • 📝 The process begins by creating a contact form using Typeform, which collects user information and inquiries.
  • 🔗 After form submission, the AI application uses the inputs to query a knowledge base and draft a personalized email response.
  • 📬 The drafted email is addressed to the user and includes information from the knowledge base, demonstrating the integration of AI with email communication.
  • 🛠️ The video provides a step-by-step guide on setting up the automation, including connecting Typeform to VectorShift and configuring the AI model to draft emails.
  • 🔧 The automation is set up to trigger whenever a new entry is submitted in Typeform, showcasing the real-time capabilities of the VectorShift platform.

Q & A

  • What is the main topic of the video?

    -The video is about automating everyday activities using AI without writing any code, specifically focusing on process automation with VectorShift.

  • How does process automation work in the context of the video?

    -Process automation in the video means listening to events in third-party applications and running AI pipelines based on those triggers to speed up productivity.

  • What is an example of AI application demonstrated in the video?

    -An example AI application shown is one that automatically responds to emails using an AI model to formulate a response when an email arrives in a Gmail inbox.

  • What is VectorShift and what makes it stand out among other platforms?

    -VectorShift is a platform for setting up AI automations. It stands out for its ease of use, generous free tier, and a good balance between AI capabilities and business automation features.

  • How does the video demonstrate the use of VectorShift for form submissions?

    -The video shows a process where a user submits a form through Typeform, triggering an AI application to respond to the inquiry and create an email draft in Gmail.

  • What is the purpose of the Typeform in the video script?

    -The Typeform is used to collect user information such as name, email, and inquiry, which then triggers the AI automation process in VectorShift.

  • How does the AI model formulate a response to an email?

    -The AI model uses the information from the user's inquiry and a predefined knowledge base to formulate a relevant and contextually accurate response.

  • What is the role of the OpenAI node in the VectorShift pipeline?

    -The OpenAI node is used to extract information, such as an email address from user input, and to draft email responses based on the user's inquiry and the knowledge base.

  • How is the knowledge base used in the VectorShift pipeline?

    -The knowledge base is used to provide the AI model with relevant information to answer user inquiries. It is scraped from specified URLs and documents and used to inform the AI's responses.

  • What is the final outcome of the automation process shown in the video?

    -The final outcome is an automatically drafted email in Gmail that addresses the user's inquiry using information from a knowledge base and is ready for review or sending.

  • How can users set up a similar automation process using VectorShift?

    -Users can follow the steps in the video to create a Typeform, set up a VectorShift pipeline with the necessary inputs and integrations, and deploy the pipeline as an automation that triggers on form submissions.

Outlines

00:00

🤖 Automating Daily Activities with AI

This paragraph introduces the concept of using AI for process automation in both personal and business contexts to enhance productivity. It explains how AI can be triggered by events in third-party applications and gives an example of an AI application that automatically drafts email responses. The paragraph highlights VectorShift as an easy-to-use platform for setting up AI automations, mentioning its free tier and integration options. It also refers to a previous video on creating a chatbot and focuses on VectorShift's process automation features in this video. The demonstration involves a type form that collects user information and an AI application that responds to inquiries and creates email drafts.

05:02

📬 Setting Up the Type Form and Gmail Integration

The speaker details the process of creating a contact form using Typeform and setting up an automation pipeline in VectorShift. The Typeform collects a user's name, email, and inquiry, and upon submission, triggers an AI to draft an email response. The paragraph explains adding inputs to the pipeline for the form fields and integrating the Gmail node to create an email draft. It also covers connecting the Gmail node to the user's Gmail account and populating the email's subject, recipients, and body fields with the appropriate data from the form inputs, including using an AI model to extract the email address and draft the email content.

10:03

🔍 Utilizing AI for Email Drafting and Knowledge Base Integration

The paragraph discusses using the OpenAI node within VectorShift to draft an email response that is personalized with the user's name and answers their inquiry based on a knowledge base. It describes setting up the prompt for the AI model, including instructions to start the email with a greeting using the user's name and to end with a sign-off. The paragraph also explains how to integrate a knowledge base, in this case, VectorShift's documentation, which is scraped and used by the AI to find relevant answers to user inquiries. The process of testing the pipeline manually and setting up the automation to trigger upon form submission is also covered.

15:03

🔗 Automating the Process with Typeform and VectorShift

The final paragraph outlines the steps to automate the process by linking the Typeform to the VectorShift pipeline. It explains how to deploy the pipeline as an automation, select Typeform as the external application, and connect the form's fields to the pipeline's inputs. The paragraph demonstrates testing the automation by submitting a new entry through Typeform and verifying that the AI correctly drafted an email in the Gmail draft folder with the appropriate content and recipient. It concludes by suggesting viewers watch another video on building a chatbot with VectorShift for additional context.

Mindmap

Keywords

💡AI Automation

AI Automation refers to the use of artificial intelligence to perform tasks that would typically require human intelligence, such as understanding complex patterns or making decisions. In the context of the video, AI Automation is used to automate everyday activities and business processes to increase productivity without the need for coding. An example given is the creation of an AI application that automatically responds to emails using an AI model to formulate responses.

💡Process Automation

Process Automation is the application of technology to automate repetitive work processes. In the video, process automation is highlighted as a way to speed up productivity in both personal life and business. The script mentions that automation can listen to events in third-party applications and trigger AI pipelines, such as responding to emails as they arrive in a Gmail inbox.

💡VectorShift

VectorShift is identified in the script as a platform for setting up AI automations. It is described as one of the easiest platforms for this purpose, offering a generous free tier and a wide range of automation integrations. The platform is positioned between AI tools like Flowwise and Langflow, and business automation platforms like Make and Zapier, indicating its versatility in handling both AI and business process automation tasks.

💡Typeform

Typeform is a tool mentioned in the script that is used to create online forms to collect information from users. In the video's example, a Typeform is used to collect a user's name, email, and inquiry. The form is then integrated with VectorShift to trigger an AI application that responds to the user's inquiry and creates an email draft in Gmail.

💡Integrations

Integrations in the context of the video refer to the connections between different software applications or services that allow them to work together. VectorShift is noted for offering many automation integrations, which are constantly being added to, enabling users to set up complex AI automation workflows that span across various platforms and services.

💡Knowledge Base

A Knowledge Base is a repository of information, such as documents or data, from which an AI can draw upon to provide answers or insights. In the script, the AI application uses a knowledge base to answer user inquiries submitted through the Typeform. The knowledge base is populated with relevant documents, such as the VectorShift documentation, which the AI uses to formulate responses.

💡RAG (Retrieval-Augmented Generation)

Retrieval-Augmented Generation, or RAG, is a machine learning approach that combines the retrieval of relevant information with the generation of new text. The script mentions using RAG for the AI model to answer questions from a knowledge base, indicating that the model first retrieves relevant information and then uses it to generate a response to the user's inquiry.

💡Email Draft

An Email Draft, as discussed in the video, is a partially completed email message that is saved in a draft state rather than being sent. The AI application created in the video is set up to automatically create an email draft in the user's Gmail account after responding to an inquiry, allowing the user to review and send the email at a later time.

💡Trigger

A Trigger in the context of automation is an event or action that initiates a process or a sequence of actions. In the video, the submission of a form in Typeform serves as a trigger for the AI application to activate and perform a series of tasks, such as responding to the user's inquiry and creating an email draft.

💡OpenAI

OpenAI is an organization mentioned in the script that provides AI models and services. The video describes using an OpenAI node within VectorShift to extract information, such as an email address, from user input. This demonstrates the integration of external AI services within the automation platform to enhance its capabilities.

Highlights

Automate everyday activities using AI without writing any code.

Process automation can enhance productivity in personal and business contexts.

Automation listens to events in third-party applications to trigger AI pipelines.

Create an AI application to auto-respond to emails using a predefined format.

VectorShift is an easy-to-use platform for setting up AI automations with a generous free tier.

VectorShift offers numerous automation integrations with a growing list.

Balances AI capabilities with business automation platforms like Make and Zapier.

Focus on process automation features of VectorShift in this video.

Build an AI application that responds to user inquiries from a knowledge base.

Automatically create an email draft in Gmail after user form submission.

Set up a simple contact form on Typeform.com for user inquiries.

Create a new pipeline in VectorShift to handle form inputs and generate email drafts.

Use the Gmail node in VectorShift to create email drafts based on AI-generated responses.

Extract email addresses from user input using the OpenAI node in VectorShift.

Draft email responses by answering user inquiries with information from a knowledge base.

Configure the knowledge base in VectorShift to scrape and utilize documentation.

Automate the process by deploying the pipeline and setting up triggers for Typeform submissions.

Test the automation by submitting a form and verifying the generated email draft in Gmail.

Explore additional VectorShift features like building a rag chatbot in a previous video.

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