/Custom-GPTs

A custom GPT for LeanDog, featuring information scraped from their website. This repository includes the scraped data, GPT interaction scripts, and setup documentation, aiming to provide detailed responses and insights about LeanDog using advanced language models.

Primary LanguagePythonOtherNOASSERTION

Custom-GPTs

Overview

Welcome to the Custom-GPTs repository. This project aims to integrate AI tools, such as ChatGPT and GitHub Copilot, into software engineering practices to enhance productivity, innovation, and code quality. The repository contains resources, guidelines, and tools to support the development and implementation of AI-driven solutions in agile environments.

Repository Structure

LeanDog - Virtual Chief Marketing Officer

This directory contains resources and documents related to the role of Emily Parker, the Virtual Chief Marketing Officer (VCMO) at LeanDog. It includes guidelines, tools, and strategies for enhancing marketing efforts using AI technologies like GPT-4. The focus is on creating marketing content, client outreach, and thought leadership to support LeanDog's brand growth and client engagement.

LeanDog - Intelligent Engineering with AI

This directory provides materials and documents for the "Intelligent Engineering with AI" course. It covers the integration of AI tools, such as ChatGPT and GitHub Copilot, into software engineering practices. The content is designed to teach the fundamentals of AI-driven development, Test Driven Development (TDD), and agile methodologies, aiming to improve code quality and productivity in real-world scenarios.

Mosquito Bros Ohio - Business Advisor

This directory contains resources and documents related to the business strategy, marketing, and operational practices of Mosquito Bros Ohio. It includes guidelines, tools, and strategies for enhancing business development, eco-friendly practices, marketing efforts, community engagement, and operational efficiency.

Purpose

The primary purpose of this repository is to provide a structured and accessible collection of resources that support the development and implementation of AI-driven solutions in software engineering. These resources are intended to:

  • Enhance Course Development: Offer insights and tools for creating effective educational materials.
  • Facilitate AI Integration: Provide guidelines on implementing AI tools in software engineering.
  • Support Agile Practices: Enhance understanding and application of agile methodologies.
  • Promote Team Collaboration: Foster collaboration through structured methodologies and best practices.

Contributing

We welcome contributions to improve the resources and tools in this repository. Please follow the standard GitHub workflow:

  1. Fork the repository.
  2. Create a new branch (git checkout -b feature-branch).
  3. Make your changes.
  4. Commit your changes (git commit -m 'Add some feature').
  5. Push to the branch (git push origin feature-branch).
  6. Open a pull request.

License

This repository is licensed under the MIT License. See the LICENSE file for more information.

Contact

For any questions or suggestions, please contact the project team at [email@example.com].