We propose one learning and review process for scientists, investors and AI agents: make an innovation’s claims explicit, including combined conclusions; learn the necessary background; and examine each topic’s reasoning, evidence and uncertainties. The decisions differ. A scientist asks whether a result is supported. A venture’s product and customer claims can also be tested, but an investment further depends on the team, market, valuation, terms and future execution. A founder gains if the pitch is believed. Reviewed public background could be reused across research and venture evaluation; confidential deal material should stay out until safeguards are verified. Whether this improves either group’s judgment or efficiency needs comparison with their current methods, including capable AI.