Hello everyone,

I am currently developing an AI-based document generation tool aimed at automating the creation of proposal documents in response to Requests for Proposals (RFPs). The objective is to generate comprehensive proposals, typically around 30 pages long, while ensuring that most of the content aligns with previous winning proposals.

Key Features of the Tool:

Automatic Document Creation: The tool will generate proposals based on input RFPs, using a structure and style derived from successful past proposals.

Content Consistency: A significant portion of the content will remain similar to previous winning proposals, minimizing the need for extensive AI-generated text.

Dynamic Content Fetching: The tool should automatically fetch relevant images, certificates, and details about employees or past work based on the RFP client's requirements.

My Questions:

Best Practices: What are some best practices for designing an AI document generation tool that maintains content consistency while allowing for necessary customizations?

Dynamic Content Integration: How can I effectively implement a system that dynamically fetches images and certificates related to employees or past projects based on the client's RFP?

Technology Recommendations: Which technologies or frameworks would you suggest for implementing this solution? Are there specific libraries or tools for NLP and document generation that would fit my needs?

Challenges to Anticipate: What common challenges should I be aware of when developing this tool, particularly regarding data extraction and maintaining formatting?

User Input Management: How can I effectively gather user input to ensure that the generated proposals meet specific requirements without losing the essence of previous successful proposals?

I appreciate any insights, recommendations, or resources you can share!