Customisable Chat GPT powered Chat Bot
Budget: $750 – $1,500 AUD
Overview
The purpose of this chat bot is to recommend celebrities and sports stars that are suitable for specific industries, products, and brands for marketing campaigns. The chat bot will utilize ChatGPT for LLM, a specific website's content, and a Google sheet full of pricing data to provide recommendations and rationale for the suggested celebrities and sports stars.
Features and Functionality
The chat bot will have the following core features and functionality:
Integration with ChatGPT for LLM to generate recommendations based on natural language input
Integration with a specific website's content to gather relevant information about the industry, product, or brand
Integration with a Google sheet full of pricing data to provide pricing information for the recommended celebrities and sports stars
Prompt builder to guide the user through the recommendation process and gather relevant information
Machine learning capabilities to learn from user interactions and improve recommendation accuracy over time
Integration with messaging platforms such as Facebook Messenger, Slack, or WhatsApp for ease of use and accessibility
User Experience (UX)
The chat bot will provide a user-friendly and intuitive experience, with the following UX considerations:
User personas and target audience to guide the design and development process
Simple and clear messaging that guides the user through the recommendation process
Personalization of recommendations based on user preferences and history
Responsive design that works on multiple devices and platforms
Design guidelines and visual mockups that align with the brand's style and tone
Prompts and Recommendations
The chat bot will use a prompt builder to guide the user through the recommendation process. The prompts will include the following:
Industry or product category
Brand or company name
Campaign objective
Budget range
Desired celebrity or sports star characteristics (e.g., gender, age, ethnicity, etc.)
Based on the user's input, the chat bot will generate a list of recommended celebrities and sports stars, along with a rationale for why they are suitable for the specific campaign.
Backend Management
The chat bot will have a backend management system that allows for the creation, editing, and management of prompts and recommendations. The backend management system will include the following:
User roles and permissions to ensure data privacy and security
Security and privacy considerations to protect user data and prevent unauthorized access
Quality assurance processes and standards to ensure the accuracy and reliability of the recommendations
Technical Requirements
The chat bot will require the following technical integrations and capabilities:
Integration with ChatGPT API for natural language processing and recommendation generation
Integration with a specific website's content for relevant industry, product, or brand information
Integration with a Google sheet full of pricing data for pricing information on celebrities and sports stars
The purpose of this chat bot is to recommend celebrities and sports stars that are suitable for specific industries, products, and brands for marketing campaigns. The chat bot will utilize ChatGPT for LLM, a specific website's content, and a Google sheet full of pricing data to provide recommendations and rationale for the suggested celebrities and sports stars.
Features and Functionality
The chat bot will have the following core features and functionality:
Integration with ChatGPT for LLM to generate recommendations based on natural language input
Integration with a specific website's content to gather relevant information about the industry, product, or brand
Integration with a Google sheet full of pricing data to provide pricing information for the recommended celebrities and sports stars
Prompt builder to guide the user through the recommendation process and gather relevant information
Machine learning capabilities to learn from user interactions and improve recommendation accuracy over time
Integration with messaging platforms such as Facebook Messenger, Slack, or WhatsApp for ease of use and accessibility
User Experience (UX)
The chat bot will provide a user-friendly and intuitive experience, with the following UX considerations:
User personas and target audience to guide the design and development process
Simple and clear messaging that guides the user through the recommendation process
Personalization of recommendations based on user preferences and history
Responsive design that works on multiple devices and platforms
Design guidelines and visual mockups that align with the brand's style and tone
Prompts and Recommendations
The chat bot will use a prompt builder to guide the user through the recommendation process. The prompts will include the following:
Industry or product category
Brand or company name
Campaign objective
Budget range
Desired celebrity or sports star characteristics (e.g., gender, age, ethnicity, etc.)
Based on the user's input, the chat bot will generate a list of recommended celebrities and sports stars, along with a rationale for why they are suitable for the specific campaign.
Backend Management
The chat bot will have a backend management system that allows for the creation, editing, and management of prompts and recommendations. The backend management system will include the following:
User roles and permissions to ensure data privacy and security
Security and privacy considerations to protect user data and prevent unauthorized access
Quality assurance processes and standards to ensure the accuracy and reliability of the recommendations
Technical Requirements
The chat bot will require the following technical integrations and capabilities:
Integration with ChatGPT API for natural language processing and recommendation generation
Integration with a specific website's content for relevant industry, product, or brand information
Integration with a Google sheet full of pricing data for pricing information on celebrities and sports stars