Flowspec AI: Professional Document Drafting Without the AI Hallucinations

Hey Peerlist community! 🧑💻

Giving a quick update on Flowspec AI (flowspecai.dev). We’ve moved well past the initial launch phase, and the focus now is all about refining the RAG precision and context isolation for professional document workflows.

Writing grant proposals, contracts, or research papers requires strict factual grounding. Standard LLM wrappers fail here because they lack verifiable context.

Where the platform stands today:

• Isolated Vector Memory: Users are utilizing the Private Knowledge Base feature to ground drafts strictly within their uploaded PDFs/documents.

• Academic RAG Layer: The research agent fetches data from a massive 300M+ paper academic database, ensuring inline citations are real and DOI-verified.

• Clean Exports: Preserving formatting and citation chips perfectly across PDF, DOCX, and Markdown exports.

I’m continuously tweaking the backend architecture to make document generation faster and more contextually accurate. If you’ve had a chance to test it out recently, what’s one feature or UI improvement you’d like to see next? Drop your feedback below! 👇