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  • Introduction
  • Step 1: Data Storage
  • Step 2: Configure Your AI
  • Step 3: Apply Your AI on the Frontend
  • Step 4: Preview and Publish
  • About Momen
  1. Tutorial

How to Build an AI Needs Analysis Project?

Learn how to build a needs analysis project with Momen AI.

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Last updated 1 day ago

Introduction

In this guide, we’ll walk you through creating a needs analysis bot using Momen AI. This bot will help you collect and analyze your customers’ needs while providing tailored advice based on the input. You can see a working example on .

This guide focuses on configuring AI for your website. For more on UI and interaction design, refer to .

Step 1: Data Storage

Before configuring the AI, ensure your UI and data input fields are ready. Create the necessary data models and relevant fields for storing customer information. This is crucial for feeding data to the AI during analysis.

Step 2: Configure Your AI

Navigate to AI configuration via the top bar in the Momen editor. Click "Create" to configure your AI. Name your AI "Project Analysis Assistant."

Select your AI model.

The input section is where users input their needs. Reference this input in the prompt by clicking the "+" and choosing the input, so the AI can recognize it.

Define your AI's role in the task role section. Here, we set it as Momen's expert. In task details, specify what you want your AI to do. Structure your task details step-by-step to guide the AI in answering. Outline requirements and how the AI should ask questions in task constraints. In this project, we required brief and concise answers. Below is an example prompt.

In the contexts section, choose the data sources you want the AI to use when answering questions. Whether from Momen's database, API, or local files, your AI will retrieve facts from the knowledge base for more accurate and fact-based answers.

Output configuration determines the format of the AI's answers. If you choose the default, the AI will output results based on your input.

For example, if there are no output format restrictions in your task constraints, the output could be a number for data calculation or text for writing an article. If you choose custom, the results will be in JSON format. Define the content to include specific fields and their meanings. The AI will output the results in JSON format, allowing you to read the data like a data table. In this project, we use custom output for a structured answer.

Once all configurations are done, test to ensure it works as expected. Adjust prompts based on the results.

Step 3: Apply Your AI on the Frontend

To receive AI request results, add page data and the necessary parameters. For this case, we added parameters related to two questions the AI will analyze.

Configure actions for the button component. In the action configuration, request AI and set page data. The value of page data would be the content from AI result data. Below is the action configuration in this project.

Step 4: Preview and Publish

Preview your project, ensure everything works as expected, and then publish it. Your needs analysis bot is now live!

About Momen

Before proceeding, review .

is a no-code web app builder, allowing users to build fully customizable web apps, marketplaces, Social Networks, AI Apps, Enterprise SaaS, and much more. You can iterate and refine your projects in real-time, ensuring a seamless creation process. Meanwhile, Momen offers powerful API integration capabilities, allowing you to connect your projects to any service you need. With Momen, you can bring your ideas to life and build remarkable digital solutions and get your web app products to market faster than ever before.

AI configuration
Momen
our website
User Interface and Interaction Design
screenshot of datamodel