Plug-n-Play MVP AI Chatbot

Overview

This repository contains the specification for an MVP (Minimum Viable Product) of an AI Chatbot that integrates with website data. The chatbot is designed to be user-friendly and easily trainable, targeting users who may not have a technical background. The MVP includes three different implementations to test user engagement and adoption: Chat, FAQ, and Search.

Purpose of the MVP

The primary objective of this MVP is to validate the following hypotheses:

1. Existing AI chatbots are not user-friendly enough for non-developers.
2. A quick-start engagement approach with easy retraining will enhance user experience.
3. Offering multiple implementations (Chat, FAQ, Search) will increase market reach and user adoption.

Features

Implementations

Chat

• Functionality: Normal ChatGPT-like interaction, limited to 3 user messages.
• Use Case: General conversational engagement.

FAQ

• Functionality: Users ask custom questions, and the AI generates answers based on website data.
• Use Case: Quick access to specific information.

Search

• Functionality: Similar to Chat, but returns a single response per query.
• Use Case: Direct information retrieval.

User Feedback Mechanism

After using the AI Chatbot (Chat, FAQ, or Search), users are presented with three response options to provide feedback:

1. "Nice! It looks good!"
   • Action: Encourages integration of our AI tools and prompts the user to contact us.
2. "We have concerns..."
   • Action: Opens a free text input or predefined response list (check-box group) to capture concerns.
3. "Nope, it looks wrong"
   • Action: Opens a free text input to detail what went wrong.

Editable AI Replies

Users can edit the AI-generated replies to make them more specific to their organization. These edits are client-side only and used to gauge engagement with the retraining feature. The edits can later be recorded as Q&A data sources.

Marketing Strategy

The MVP will be marketed by sending test URLs to potential clients, such as NGOs. These URLs will link to a demo where the AI bot has pre-crawled their website data. This approach allows clients to immediately see the chatbot in action and test its functionalities.

Goals

The MVP test aims to:

1. Determine the feasibility and user engagement of the quick-start approach.
2. Identify which implementation (Chat, FAQ, Search) has the highest adoption rate.
3. Collect feedback on the user experience and potential areas for improvement.