According to God of Prompt (@godofprompt), specifying an audience in AI prompts fundamentally changes output structure, resulting in more engaging and tailored responses (source: https://twitter.com/godofprompt/status/2014644610723967279). For example, instructing an AI to 'Explain blockchain like you're teaching a packed auditorium of 500 developers' leads the model to provide clearer structure, anticipate questions, use relevant examples, and emphasize key points for retention. This technique enhances practical applications in enterprise training, developer education, and business communications, as AI-generated content becomes context-aware and audience-specific. Businesses leveraging this approach can improve knowledge transfer, increase training ROI, and create more effective onboarding materials, representing a significant advancement in generative AI prompt engineering.

According to DeepLearningAI (@DeepLearningAI), the company is actively hiring for three key roles—Product Designer, Developer Advocate, and Account Executive—to accelerate the development of AI learning products and enterprise training programs (source: DeepLearningAI Twitter, Dec 16, 2025). The Product Designer will focus on creating user-centric, learner-facing workflows, enhancing the usability of AI educational tools. The Developer Advocate is tasked with producing technical content and demos to support AI developers, while the Account Executive will drive B2B enterprise training relationships, expanding DeepLearning.AI's corporate reach. All roles are full-time, hybrid positions based in the San Francisco Bay Area, reflecting the growing demand for practical AI skills and enterprise training solutions. This hiring push signals significant business opportunities in the AI education sector.