Welcome to SOW-Studio, an open-source software tool specifically designed for IT consulting firms to improve the creation and accuracy of Statements of Work (SOW)s. Utilizing advanced Large Language Model (LLM) technology, SOW-Studio offers a suite of features aimed at enhancing the efficiency, consistency, and quality of SOW documents.
- LLM-Based Authoring: Leverages a ChatGPT to assist in drafting SOWs by providing contextually relevant suggestions based on your vast database of high-quality SOW examples.
- Quality Assurance: Integrates a grammar and consistency checklist to ensure each SOW meets high standards of professionalism and accuracy.
- Sentiment Analysis Engine: Analyzes the tone and sentiment of the SOW to maintain positive and professional client interactions.
- Historical SOW Researcher: Utilizes retrieval-augmented generation to reference previous successful SOWs to guide the creation of new documents.
- Few-shot and Chain of Thought Prompting: Employs examples of advanced prompting techniques to generate precise and contextually appropriate content.
- Reduce Errors and Inconsistencies: Minimize common mistakes in SOWs that can lead to client disputes, project delays, or financial losses.
- Increase Efficiency: Streamline the SOW creation process, allowing consultants to draft documents faster without compromising on quality.
- Scale SOW Authoring: Enable a consistent level of professionalism across all SOWs drafted within the organization, regardless of the consultant's experience level.
Brief explanation of what a SOW is, the challenges in writing one, how we address those challenges SOW-Studio, live demonstration, architecture, and brief code walk through.
To start using SOW-Studio, clone the repository and follow these installation instructions:
- Run the command
pip install -r requirements.txt - Add a .env file with a single ChatGPT API Key line like below:
OPENAI_API_KEY=sk-yourkeyhere - Load up the
/input_data/folder with your high-quality historical SOWs. They must be .txt files. - Run the app locally using the command
streamlit run app.py - Or run using Docker and these 2 commands :
docker build -t SOW-Studio .docker run -p 7860:7860 SOW-Studio
SOW-Studio is released under the MIT License. Do as you please with it!
Michael Ellis - Initial Work - https://www.linkedin.com/in/mike-a-ellis/
Thanks to all contributors who provided valuable feedback.
Contact For support or general inquiries, contact me at https://www.linkedin.com/in/mike-a-ellis/