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 secondsWhich agent nails fresh ideas and which one ships solid plansWhy citation-aware scoring points to real market tractionYC-style prompt hacks to match the right agent to each taskKeywords: LLMs, prompt engineering, AI agents, research drafting, novelty vs. feasibility, citation scoring, Y CombinatorLinks: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:Facebook Group: Join 218K+ AI buildersX (Twitter): Follow us for daily AI dropsYouTube: Watch AI walkthroughs & tutorials
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