According to God of Prompt on Twitter, a structured Claude prompt can turn competitive analysis from feature checklists into strategy by forcing citation-backed insights, customer jobs-to-be-done, vulnerability mining from G2, Reddit, and Twitter, and 2–3 specific feature bets for a six-month roadmap. As reported by the tweet, the prompt instructs Claude to analyze what job customers hire a competitor to do, aggregate complaint patterns from public reviews, and recommend concrete product moves, explicitly banning vague UX takes and requiring links to sources. According to the original tweet, this approach enables PMs and founders to prioritize differentiators grounded in voice-of-customer data, improving positioning, win-back campaigns, and near-term feature development.

According to God of Prompt on Twitter, a comprehensive competitive intelligence dashboard prompt has been shared for analyzing AI companies and products. The framework emphasizes evaluating recent product launches, pricing changes, customer sentiment from sources like Reddit and G2, technical stack insights from job postings and tech blogs, and funding or financial news, all within the last 30 days. The methodology organizes findings in a structured table to support actionable business decisions, as reported by @godofprompt.

According to @ai_darpa, a fan-made short film of One Punch Man shared on Reddit highlights a growing trend where AI tools empower individual creators to produce high-quality audiovisual content from their homes. This development suggests a future where AI democratizes media production, reducing barriers for independent talent and enabling niche content to reach wider audiences. As more creators leverage generative AI for animation, editing, and distribution, the business landscape is set for disruption, with new opportunities for platforms and tools that support AI-powered content creation (source: @ai_darpa, Twitter, Dec 25, 2025).

According to DeepLearning.AI, Columbia University researchers have demonstrated that large language model (LLM)-based AI agents can be manipulated by embedding malicious links within posts on trusted websites such as Reddit. The study shows that attackers can craft posts with harmful instructions disguised as thematically relevant content, luring AI agents into visiting compromised sites. This vulnerability highlights significant security risks for businesses using LLM-powered automation and underscores the need for robust content filtering and monitoring solutions in enterprise AI deployments (source: DeepLearning.AI, June 15, 2025).