AI Research Workflow: Keep Only Evidence That Changes the Decision

Description and use

<p>An AI research workflow reviewed on 2026-09-03 had one hard constraint: no verified performance, cost, revenue, user, conversion, or timing evidence was available. The honest answer is therefore a method, not a claim that the method produces better results. Write one decision question, find one source that supports it, one that challenges it, and one that exposes what remains unknown. Then keep only the sources that could change the decision. The finished artifact is a source map, not a long bookmark list.</p> <h2> Start with the evidence boundary </h2> <p>Research becomes difficult when ga

Problem

<p>An AI research workflow reviewed on 2026-09-03 had one hard constraint: no verified performance, cost, revenue, user, conversion, or timing evidence was available. The honest answer is therefore a method, not a claim that the method produces better results. Write one decision question, find one source that supports it, one that challenges it, and one that exposes what remains unknown. Then keep only the sources that could change the decision. The finished artifact is a source map, not a long bookmark list.</p> <h2> Start with the evidence boundary </h2> <p>Research becomes difficult when ga

Outcome

<p>An AI research workflow reviewed on 2026-09-03 had one hard constraint: no verified performance, cost, revenue, user, conversion, or timing evidence was available. The honest answer is therefore a method, not a claim that the method produces better results. Write one decision question, find one source that supports it, one that challenges it, and one that exposes what remains unknown. Then keep only the sources that could change the decision. The finished artifact is a source map, not a long bookmark list.</p> <h2> Start with the evidence boundary </h2> <p>Research becomes difficult when ga

Evidence

AI Research Workflow: Keep Only Evidence That Changes the Decision

Source