According to @godofprompt on Twitter, a comprehensive AI trend analysis report should incorporate Google Trends data from the past 12 months, recent academic papers from platforms like arXiv and SSRN, industry adoption signals from job postings and case studies, expert commentary from verified Twitter accounts, and critical perspectives from communities such as Hacker News and Reddit. This structured approach enables an evidence-based assessment of whether an AI technology is driven by hype or substantive innovation, identifies leading companies and projects with real momentum, and clarifies the adoption timeline by distinguishing between pilot-stage and production-ready solutions. As reported by @godofprompt, providing five sources per research section ensures depth and reliability in trend analysis, offering actionable insights for AI industry stakeholders and business strategists.