Combine Lark Base With OpenAI To Boost Productivity For Your Business.

We all have times when we want to accelerate work with the help of AI, but get tired of repeating prompts. The challenge starts with getting your own AI prompt generator.

We decided to handle the job using our own product and we are introducing AI Autofill in Lark Base. By connecting your OpenAI account with Lark Base, you can generate custom prompts using the prompt template and data fields that you have set up. The results will be automatically filled in. Let’s unfold the details

Where can I use it at all?

AI Autofill in Lark Base can serve as your own AI prompt generator and work accelerator, helping you progress your work with ease. The possibilities are endless, but here are 12 workflows you can set up based on your team type and need, from more efficient operations to better content creation and faster issue resolution.

Customer service: Ensure customer satisfaction

When it comes to addressing customer inquiries and concerns, satisfaction is the ultimate key performance indicator (KPI). The sooner your team is able to settle on a satisfactory solution, the more satisfied your customers will be. Instead of repeatedly consulting the service guidebook, Lark Base's AI Autofill feature can help you stay responsive to customer needs by serving as your own AI prompt generator and service assistant.

• Wholesale order confirmation: If you use Lark Base to organize and track your wholesale orders, your business development representatives can input order details for the AI prompt generator to write up a request, then have AI come back with an order summary to confirm with the client. When paired with SendGrid in Lark Base, the content can be put in an email and sent to the client as a confirmation automatically.
  
  

• Retail customer feedback tagging: When using Lark Base to collect customer feedback, retail store staff can easily sort and analyze the feedback by using AI to categorize customer feedback with a specific set of tags defined in the prompt, and summarize the improvement needed from there. This saves the store team time manually sorting and tagging feedback, and can gain insights on how to change more quickly.
  
  

• Hotel guest request response: Using Lark Base to collect and handle guest requests from hotel customers, the hotel service team can now leverage AI to screen a customer's preference based on the request submitted, and provide a suggested response. Even a new service staff can work like a pro with the suggested answer right on the phone.

Operations: Leave no issue overnight

Often, operations teams aim to address requests efficiently before they escalate and disrupt operational flows. However, this requires experience, knowledge, and often a calm demeanor to consistently handle complex questions. With the AI prompt generator and troubleshoot master in place, your teams can further streamline operations while optimizing time usage.

• Shift handover checklist: When changing shifts at a restaurant, some needs and requests require continued attention. Instead of writing them down on sticky notes that may get lost, restaurant employees can leverage Lark Base to submit a shift report. AI can then suggest a checklist based on the report for the next person on shift to check off accordingly.
  
  

• Hotel maintenance request prioritization: With many rooms being booked and maintained concurrently during the busy season, hotel maintenance teams can better use their time by getting the AI to sort the maintenance tasks. Hotel staff can input different room maintenance needs, and AI can suggest which ones to prioritize based on the estimated time needed to clean up and reset.
  
  

• Retail security incident response: To better close the loop of incident response, security teams often need not only the solution to an incident but also ways to make sure such incidents won't happen again. With autofill in place, security staff at a retail store can input details of a security incident via Lark Base, and AI can provide recommendations for immediate actions or future preventive measures based on the incident details given.
  
  

• Manufacturing quality assurance: Many factory shops need to better organize, track, and improve quality assurance for better product quality. AI can help automate quality evaluation. For example, workers on the production lines can input measurements or test results of a produced item, and AI can confirm if it is within acceptable standards or not, immediately.
  
  

• Manufacturing fault troubleshooting: Instead of routing every single issue to a solution engineer, frontline workers can submit the potential defects they spot during inspections. AI can then read through the defect description and decide on the level of severity based on the guidance provided in the prompt. This helps sort and prioritize issues and route them separately to the right teams for processing.

How does it work?

No matter what team or business you are in, you can follow the three steps below to get your AI-powered workflow up and running. After you register for a Lark tenant and build a Base for your work, here is what you need to do.

Step 1: Find the magic wand.

When setting up a new field in Lark Base, click "AI Generate" to start.

Step 2: Insert your prompt template, once and for all.

In the configuration box, key in your prompt template and insert the fields that you'd like OpenAI to take into consideration. Before you hit Generate, make sure you paste in your OpenAI API key. If you are looking to get some prompt templates to start

Step 3: Whip the magic wand.

Once set, you will be able to get the field auto-populated. Whenever you make any changes to data in fields you refer to in your prompt or you change the prompt itself, simply go back to the configuration and Voilà, the content is updated accordingly.