The goal of this AI system is to automate the hiring process from a Facebook comment all the way to a potential job offer. The key components used in this system are:

• Chatbot Builder.ai for managing the conversational flows
• Twilio for handling the phone calls
• 11Labs for the conversational agent
• PDF.co for extracting text from resumes
• Make for integrating the different services

The process works as follows:

1. A potential candidate leaves a comment on a Facebook job post.
2. The AI agent responds publicly, encouraging the candidate to send their email and resume.
3. The candidate provides their email and uploads their resume.
4. The AI agent extracts the text from the resume using PDF.co and grades it using OpenAI.
5. If the resume meets a certain quality threshold, the AI agent calls the candidate using Twilio and makes a preliminary job offer.
6. The candidate and the hiring manager negotiate the salary, and the offer is finalized.

This AI system automates the entire hiring process, from the initial Facebook comment to the final job offer, saving time and resources for the HR team.

The goal is to set up a Facebook page and integrate it with Chatbot Builder.ai to handle the hiring process from end to end. Here's how you can do it:

1. Create a Facebook Page: Start by creating a Facebook page for your business, in this case, St. Vincent's Hospital.

2. Integrate with Chatbot Builder.ai: Log in or sign up for Chatbot Builder.ai and create a new chatbot for the St. Vincent's Hospital demo page. Go to the settings and integrations, and turn off the default agent. This will allow you to have full control over the default flow.

3. Connect to Facebook Messenger: In the Chatbot Builder.ai channels, click on Facebook Messenger and connect your personal profile that has admin access to the business Facebook page.

4. Create a Public Reply Flow: In the Chatbot Builder.ai flows, create a new flow to handle the comment tool public reply. Set up a simple message that responds to Facebook comments related to a job posting offer, encouraging the user to check their inbox or DMs for more information.

5. Create a Private Reply Flow: Duplicate the public reply flow and create a private reply flow. This flow will encourage the user to tap or type below to enter their email if they're interested in applying for a position.

6. Create a Resume Upload Flow: Create a new flow that will connect to the previous flows. This flow will ask the user to upload their resume and trigger a Make action to process the resume.

7. Analyze the Resume: Create a flow that will analyze the uploaded resume using OpenAI. This flow will grade the resume on a scale of 0 to 100 and save the grade in a custom field.

8. Integrate with 11Labs and Twilio: Set up an integration with 11Labs to handle the phone call with the qualified candidate. Also, integrate with Twilio to purchase a phone number and set up a transfer to human rule.

9. Test and Publish: Test the entire process by leaving a comment on the Facebook page, uploading a resume, and verifying that the system works as expected. Once everything is working, publish the flows.

With this setup, the AI agent will be able to handle the hiring process from the initial Facebook comment to the final job offer, streamlining the process and providing a seamless experience for both the candidate and the hiring team.

To create the flows for public and private replies to Facebook comments, we'll follow these steps:

1. Create a Public Reply Flow:

   • Go to the "Flows" section and create a new flow called "Public Reply".
   • Add a simple message that will be used to respond publicly to Facebook comments related to a job posting.
   • Replace the "user message" with the "last FB comment" to dynamically respond to the comments.
   • Add a custom field to store the public reply text.

2. Create a Private Reply Flow:

   • Duplicate the "Public Reply" flow and name it "Private Reply".
   • Modify the message to encourage the user to provide their email if they're interested in applying for a position.
   • Add custom fields to store the user's email and phone number.
   • Create a new flow to handle the resume upload process.

3. Analyze the Resume:

   • Create a new flow called "Analyze the Resume".
   • Extract the text from the uploaded resume using the PDF.co service and save it to a custom field.
   • Use the OpenAI API to grade the resume on a scale of 0 to 100 and save the grade to a custom field.
   • Check if the resume meets a minimum grade threshold (e.g., 75).
   • If the resume meets the threshold, trigger the next step to contact the candidate.

4. Contact the Candidate:

   • Use the Twilio API to make a phone call to the candidate and transfer the call to a human hiring agent.
   • Customize the conversation configuration to only transfer the call when the candidate confirms they will accept the job offer.

By following these steps, you'll create a comprehensive AI-powered system that can handle the entire hiring process, from Facebook comments to final job offer, in a seamless and efficient manner.

In this section, we will build an AI-powered system that automates the resume submission and grading process. The goal is to create a seamless experience for potential candidates, where they can apply for a job directly through a Facebook comment, and the AI agent will handle the entire workflow, from resume collection to qualification assessment.

The key components of this system are:

1. Chatbot Builder.ai: We will use this platform to create a conversational flow that responds to Facebook comments and guides the candidate through the application process.
2. Twilio: We will integrate Twilio to enable voice communication between the AI agent and the qualified candidate.
3. PDF.co: This service will be used to extract text from the uploaded resume, which will then be analyzed by the AI agent.
4. OpenAI: The OpenAI language model will be used to grade the candidate's resume based on the extracted text.
5. Make: This automation platform will tie all the components together, creating a seamless end-to-end workflow.

The process will work as follows:

1. A potential candidate leaves a comment on the Facebook job posting.
2. The AI agent responds, encouraging the candidate to provide their email and phone number.
3. The candidate uploads their resume, which is then processed by PDF.co to extract the text.
4. The extracted text is analyzed by the OpenAI model, which assigns a grade to the resume.
5. If the resume meets the minimum grade requirement, the AI agent calls the candidate using Twilio and extends a preliminary job offer.
6. The candidate and the hiring manager negotiate the terms of the offer, and the process is finalized.

By automating this workflow, the HR team can focus on the final stages of the hiring process, while the AI agent handles the initial screening and qualification steps, saving time and resources.

To complete the AI hiring system, we will integrate with Twilio and 11Labs to enable seamless phone screening and job offer capabilities.

First, we will set up Twilio to handle the phone call with the candidate. We will purchase a phone number and configure it to work with our system. We will also create a Twilio account and obtain the necessary API credentials.

Next, we will integrate with 11Labs, a conversational AI platform, to create a virtual hiring agent. We will set up an agent and configure a "transfer to human" tool, which will allow the system to transfer the call to the hiring manager when the candidate is ready to discuss the job offer.

In the 11Labs dashboard, we will create the necessary rules and conditions to determine when the call should be transferred. For example, we can set a rule to transfer the call only when the candidate has confirmed they will accept the tentative job offer.

Finally, we will update the "Analyze Resume" flow in our Chatbot Builder AI system to make an external API request to 11Labs. This will initiate the phone call with the candidate and trigger the virtual hiring agent to handle the conversation.

By integrating Twilio and 11Labs, we have created a seamless end-to-end hiring process that automates the initial screening, resume analysis, and job offer negotiation, while still allowing for a human touch when necessary.

The AI agent system we've built today is a powerful and efficient solution for handling HR hiring from end to end. Starting from a simple Facebook comment, the system is able to guide the potential new hire through the entire process, from resume submission to job offer negotiation.

The key components of this system include:

1. Chatbot Builder.ai: Allows us to create and customize the conversational flows for public and private replies, resume upload, and resume analysis.
2. Twilio: Provides the phone number integration for the final job offer call with the hiring manager.
3. PDF.co: Extracts the text from the uploaded resume, enabling the AI to analyze and grade the candidate's qualifications.
4. Make: Orchestrates the various services and triggers the necessary actions based on the candidate's progress.

By automating these tasks, the system not only saves time and resources for the HR team but also provides a seamless and personalized experience for the job applicant. The ability to negotiate the job offer directly with the AI agent further enhances the efficiency of the process.

This AI agent system is a testament to the power of modern technology in streamlining and optimizing HR processes. With its versatility and scalability, it can be easily adapted to various industries and job types, making it a valuable asset for any organization looking to enhance its hiring capabilities.