エピソード

  • #44 - Guest Episode: Gearset DevOps Diaries w/ Jon Cline
    2025/07/01
    Jack McCurdy and Jon Cline discuss solving the people puzzle in DevOps. This episode first appeared on the DevOps Diaries podcast.
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    53 分
  • #43 - AI Boom or Bubble, Poetry to Platforms, Co-op and Reflective AI, interview with Stephen Klein
    2025/06/24
    Stephen Klein, a guest on "Salesforce Trails & Trials," shares his 20+ year journey and AI insights. Klein's background includes a fine arts degree in poetry, valuing literature and art for distinguishing humans from AI. His diverse career path encompassed journalism (UMass Daily Collegian editor), early tech at Wang Laboratories, 12 years in advertising (built largest New England agency, European ops), global product/marketing at Dun & Bradstreet, and an MBA from Harvard. He now teaches AI strategy and ethics at Berkeley, his primary expertise. Klein emphasizes wisdom (hard-earned principles from challenges/study) is distinct from knowledge (easily acquired information). He believes ethics and values optimize profit, contrary to the Machiavellian focus on fast gain. Klein critiques the current AI landscape, noting incentives are misaligned as AI is sold for cost-cutting and automation, leading to layoffs. He claims ~80% of industry data is "cooked," acting as a sales funnel for private AI firms and large consulting groups. He likens the current AI craze to historical bubbles like "tulip mania" and the dot-com era, fueled by fear of being left behind. Klein draws parallels to the sugar and tobacco industries' past efforts to distort reality through marketing. Generative AI is unreliable (30-70% hallucination), making full automation unfeasible. Using Gen AI to create more data results in a "recursive" loop, degrading training data and output over time. He states there are no net US job losses from Gen AI; layoffs follow normal 10-12 year economic cycles. The consulting industry profits heavily, with 70-80% of AI pilots failing. Klein advocates for an "augmentation" model where AI "levels up" people for strategic thinking, rather than replacing them. He champions "Co-op AI" or "Reflective AI," where AI partners with individuals for better problem-solving. His company, Curiouser.ai, offers "Alice," a Reflective AI that asks questions to challenge critical thinking and foster self-understanding, combining generative AI with tailored machine learning. Effective AI adoption requires strong CEO leadership, clear vision, organizational unity, and prioritizing people. Klein deems "AI first" the "stupidest idea" as it implies "people last," alienating employees and customers and harming brand reputation. He is optimistic that "people first" companies, investing in their future and workforce, will lead a positive revolution, building businesses and creating jobs. Organizations should consider multi-LLM, open/closed-source platforms, not just IT-delegated tools. I hope this concise summary is helpful! Would you like to review specific aspects of Stephen Klein's career, or perhaps delve deeper into his concept of "Reflective AI" and "Co-op AI"? I can also quiz you on the material to test your comprehension if you'd like!
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    51 分
  • #42 - People First vs. AI First, Slack Data Changes, Co-op AI Coding w/ Cursor + Cline
    2025/06/17
    Jon and Mike catch up on trends, projects, and perspectives while Erik is on vacation.
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    27 分
  • #41 - Agentforce Testing Center, Cursor + Cline, Level-Up Your Role
    2025/06/10
    Mike Mikula joins Erik and Jon to discuss recent projects, learning, and trends.
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    57 分
  • #40 - Best Of: How to prepare for your Salesforce interview
    2025/06/03
    This was a big topic for many as Jon attended Tahoe Dreamin' and Texas Dreamin' so we are including it here as a reply. This episode of the "Sales Force Trails and Trials" podcast offers advice on acing a Salesforce job interview by leveraging soft skills. The hosts emphasize the importance of thorough preparation, including researching the company and its goals. They suggest demonstrating tenacity by showcasing problem-solving skills and a commitment to overcoming challenges. Finally, the hosts recommend highlighting emotional maturity by demonstrating an understanding of team dynamics and building relationships. By focusing on these soft skills, candidates can set themselves apart and showcase their value beyond technical expertise.
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    50 分
  • #39 - AI Snake Oil, Off-Platform Agents, a Google Gem, and harmony from Japan
    2025/05/27
    The Erik & Jon show returns with a wide ranging discussion of AI uses and a couple great books.
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    51 分
  • #38 - The Jon Cline Show: AI Hallucinations rising, risks of no playbook, People First prompt engineering.
    2025/05/20
    This episode of the Jon Cline Show focuses on the human side of technology and building stronger teams in an AI-driven world. Host Jon Cline discusses recent news in the AI world, including potential decreases in AI spending at Amazon and the increasing prevalence of AI hallucinations. As a continuation from a previous episode on why tech projects fail, the show delves into the most common risks and symptoms Jon has observed in over a thousand projects. A major theme is the lack of a common "sheet of music" or process playbook among team members ("musicians"), leading to noise, frustration, and project failure or lack of adoption. The importance of a "conductor" role to document processes and ensure consistent workflow, particularly at hand-off points, is highlighted. The learning segment introduces prompt engineering as a key skill for effective communication with AI. Jon explains how to tailor prompts with "people first dimensions" such as specifying knowledge level, requesting references, setting a desired style, and asking for balanced perspectives to enhance AI output and learning. The episode encourages listeners to be well-informed about AI and leverage their people-first power.
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    45 分
  • #37 - Construction Management to Cooperative AI: Trailblazer Stories with Akshay Panse and Omar Youssef
    2025/05/13
    This episode features the journeys of Akshay Panse and Omar Youssef, who found their way to the Salesforce ecosystem from diverse backgrounds in engineering and consulting. They discuss common bottlenecks and challenges in Salesforce implementations and the discovery process, often rooted in communication and managing varied client needs. To solve these pain points, they created Cloobot, an AI-powered tool designed to streamline implementation, accelerate discovery, and serve as an intelligent assistant for consulting teams
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    45 分