More The AI Report Live episodes
Published 26 Feb 2026
Duration: 01:24:54
A podcast discusses AI's role in creative fields, exploring how it enhances human creativity as a supporting tool, and offers practical techniques like clear prompting and iteration to improve AI output quality.
Upscaile Partnered with Stanford to Teach a 90-Minute AI for Creativity Masterclass From Prompting Fundamentals to Full AI Short Film ProductionIn thi...
The podcast explores the use of AI in creative fields, positioning it as a supportive tool that enhances rather than replaces human creativity. It differentiates between traditional AI and generative AI, explaining how the latter uses technologies such as deep learning and tokenization to generate new content. The episode emphasizes the importance of effective prompting strategies, including clarity, context, and specificity, to ensure accurate and meaningful AI outputs while reducing the risk of errors such as hallucination.
Various techniques for improving AI-generated results are discussed, such as utilizing hashtags, adjusting temperature settings for creativity control, and applying retrieval-augmented generation for better accuracy. The podcast also outlines practical applications of AI in creative work, like writing screenplays and producing video content using tools such as Sora. It encourages a methodical approach to working with AI, suggesting that iterative practice and a scientific mindset are essential for refining and improving the quality of AI interactions over time.
14 May 2026 Why Data (Not Code) Is Your Only Real AI Moat | Jason Li, Laurel
Data-driven workflow optimization in knowledge-intensive fields like law and accounting is highlighted through AI-powered time-tracking solutions that automate logging, enhance performance measurement with actionable insights, and address challenges like ROI demonstration, legacy system integration, and balancing automation with human-centric tasks, while emphasizing core data as a strategic competitive advantage.
Strategies for viral content include reverse-engineering successful formats, platform-specific tactics (like LinkedIn lists, Instagram B-roll), leveraging AI tools for research and automation while prioritizing human creativity, and balancing consistency, personal branding, and iterative refinement to overcome challenges like content theft and maintain authenticity.
30 Apr 2026 Monday.com Co-Founder: "We Changed the Vision of the Company Completely" | Roy Mann on the Agent Economy
Businesses, especially SAS companies, must adapt to AI-driven disruptions by reimagining platforms around AI agents through automation, task-focused collaboration, and autonomous workflows, while addressing challenges like user skepticism, job role shifts, ethical dilemmas, and the balance between human oversight and AI autonomy.
23 Apr 2026 She Lost Her Job and Built a Business from 2 LinkedIn Posts | Mischa Collins
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Challenges in productivity, AI tool limitations, newsletter monetization strategies, entrepreneurial problem-solving, automation debates, and future software trends are explored, alongside platform stickiness, subscription models, and post-business personal freedom.