The Prompt-to-Paper framework uses a multi-agent system to solve fabrication and grounding errors in AI-written research. It integrates a deterministic retrieval-augmented generation pipeline with section-aware relevance scoring. This approach ensures claims link directly to verifiable literature. Bioinformatics researchers can now generate manuscripts that meet rigorous publication standards without risking hallucinated data.