Professional Document Drafting Without the AI Hallucinations

Hey Peerlist community! 🧑💻 #show

Giving a quick mid-journey update on Flowspec AI (flowspecai.dev). We’ve moved well past the initial wrapper phase, and our core focus right now is perfecting RAG precision and context isolation for professional, high-stakes document workflows.

Writing grant proposals, tech contracts, or deep research papers requires strict factual grounding. Standard LLMs fail here because they lack verifiable data layers and tend to hallucinate sources.

Where the platform stands today:

• 🛡️ Isolated Vector Memory: Users are leveraging the Private Knowledge Base feature to ground drafts strictly within their uploaded PDFs/docs—keeping external, unverified data out.

• 🔍 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 cleanly 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 got a couple of minutes to test out the RAG precision, I’d love your brutal product feedback in the comments! 👇

#BuildInPublic #AI #RAG #ProductivityTools