Large language models just leveled up. They can now draft conference papers that track with real research. But big ideas only matter if they’re buildable. Today’s issue breaks down which prompt-engineering agents pass both tests — and how you can use their tricks right away.

We’ll talk about:

The two-step score that ranks novelty and feasibility in seconds
Which agent nails fresh ideas and which one ships solid plans
Why citation-aware scoring points to real market traction
YC-style prompt hacks to match the right agent to each task

Keywords: LLMs, prompt engineering, AI agents, research drafting, novelty vs. feasibility, citation scoring, Y Combinator

Links:

Newsletter: Sign up for our FREE daily newsletter.
Our Community: Get 3-level AI tutorials across industries.
Join AI Fire Academy: 500+ advanced AI workflows ($14,500+ Value)

Our Socials:

🎙️ EP 24': LLMs Draft Conference Papers | YC-Style AI Agent Playbook

AI Fire Daily

🎙️ EP 24': LLMs Draft Conference Papers | YC-Style AI Agent Playbook