Upskilling

In Case You Missed It in August 2026 (Ep. 1024 with Jon Krohn)

In Case You Missed It in August 2026 (Ep. 1024 with Jon Krohn)

This episode explores the critical gap between AI investment and return, featuring insights from industry leaders. It covers why most organizations fail to see ROI from AI, the crucial role of mathematical optimization in agentic AI to ensure constraint adherence, practical strategies for structuring AI skills in tools like Claude for quality output, and a 10-20-70 budget framework emphasizing upskilling. Additionally, it delves into the growing importance of the semantic layer for analytics agents to ensure consistent data interpretation and efficiency in large enterprises.

The Reason Your Claude Output Still Looks Like Slop (with Priyanka Vergadia)

The Reason Your Claude Output Still Looks Like Slop (with Priyanka Vergadia)

Priyanka Vergadia, The Cloud Girl, discusses why most companies see no ROI from AI tools, proposing a 7:1 budget split for training over tools. She explains how AI has made "taste" the new ceiling, detailing how to build effective Claude skills by breaking tasks into explicit subtasks with human-in-the-loop oversight. She introduces her 10-20-70 framework for AI budgets, emphasizing the long-term investment needed for employee skilling and community building. Priyanka also shares her transition to full-time entrepreneurship, focusing on product and career storytelling, and reveals her upcoming book on tech storytelling.

6 Ways to Enhance Developer Productivity with AI

6 Ways to Enhance Developer Productivity with AI

Discover how top-performing teams achieve 100-150% productivity gains with AI by strategically restructuring workflows, automating wisely, prioritizing design, fostering deep work, reducing cognitive load, investing in growth, and optimizing tools. This goes beyond mere AI adoption, focusing on human-centric practices and intelligent measurement to drive real impact and retention.

AI Gave You A Promotion: Why AI Isn’t Replacing Jobs

AI Gave You A Promotion: Why AI Isn’t Replacing Jobs

AI isn't replacing jobs, but profoundly changing them. Jeff Crume introduces a 'diamond' model to explain how AI shifts job roles to higher-value work, leading to a 'promotion' for employees. This transformation, driven by Jevons Paradox, demands new skills like flexibility, curiosity, and critical thinking, ultimately fostering overall growth and innovation in the workforce.