163 - How To Create Your Own GPT Assistant For Managing Your Inbox

How Do GPT Assistants Work?

The assistant is designed to process support queries efficiently by:

1. Identifying Inquiries: Analyzing incoming emails to determine the question or issue.
2. Retrieving Information: Accessing a pre-uploaded knowledge base built using tools like [Airtable]().
3. Generating Responses: Crafting email replies and creating support tickets automatically using [Make.com](). This approach reduces manual workload, ensures consistent responses, and improves customer satisfaction. For a deeper dive into automating processes like these, check out How to Automate Your Marketplace Workflows with Make.com.

What Tools Do You Need To Build A GPT Assistant?

To set up your GPT assistant, you’ll require:

• Airtable: To manage your knowledge base. Learn how to streamline its use with guides like How to Allow Clients to Manage Your No-Code Builds with Airtable Interfaces.
• Make.com: For automation workflows. Explore its full potential in Automated Client Follow-Ups.
• OpenAI Developer Account: To deploy GPT-based assistants.

How Do You Teach Your GPT With A Knowledge Base?

The knowledge base is the cornerstone of your assistant’s capabilities. Here’s how to create and manage it:

1. Organize Information: Gather all FAQs, policies, and standard responses. Use Airtable to structure the data into easily searchable fields. For a step-by-step guide, see How to Prefill Airtable Forms.
2. Format for GPT: Convert the knowledge base into a JSON file. This format ensures compatibility with OpenAI’s API.
3. Upload to GPT: Use the API to upload the JSON file to your assistant. Learn more about JSON workflows in How to Set Up Field Data JSON for Webflow CMS API in Make.com.

How Does The GPT Workflow Work?

Once the knowledge base is uploaded, the assistant can be integrated into a workflow using Make.com:

1. Email Parsing: Automatically capture new emails and extract key information.
2. Query Breakdown: Analyze the content to identify the sender’s intent and match it with the knowledge base.
3. Response Generation: Draft replies using the retrieved data. This is similar to workflows explained in How to Track Webflow CMS Form Submissions.
4. Ticket Creation: Log the query and response in Airtable or any preferred support system. To understand the integration further, see How to Instantly Trigger Airtable Workflows in Make.com.

Updating the Knowledge Base

Keeping the knowledge base current is critical:

1. Add new information or update existing entries in Airtable.
2. Run an automation workflow to generate and upload a new JSON file to the assistant.
3. Test queries to ensure accurate responses. For related advice on maintaining robust automation workflows, read How to Avoid an Airtable Automation Disaster.

The Support Ticket Use Case

Suppose a customer asks, "How do I become a freelancer on Unicorn Factory?" The assistant:

1. Identifies the query intent.
2. Checks the knowledge base for relevant onboarding steps, similar to techniques in How to Build Customer Portals for Your Marketplace with Glide.
3. Drafts a response outlining the sign-up process and links to additional resources. If the assistant lacks the answer, you can update the knowledge base and rerun the workflow.

Other GPT Assistant Use Cases

Beyond support tickets, this setup can handle:

• Customer Feedback: Automating feedback collection and analysis.
• Product Recommendations: Tailored suggestions based on customer inquiries.
• Internal Assistance: Supporting team members with quick access to company resources, leveraging workflows described in Leveraging AI in Your Business with No-Code Tools.