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  • AgentForce Decoded: Inside Salesforce's $80B AI Revolution
    2025/07/07

    Your competitors are already using AI. Don't get left behind.

    Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S

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    In this conversation, Ryan Staley interviews Ajay Kumar, the head of AI product growth at Salesforce, discussing the deployment and innovative use cases of Agent Force. Ajay shares surprising applications of AI in various industries, particularly in customer service and marketing, and highlights the integration with OpenAI. The discussion also covers the future of AI, including predictions about AGI and the potential for background agents to revolutionize workflows.


    Chapters


    00:00 Introduction to AI and Agent Force at Salesforce
    02:33 Surprising Use Cases of Agent Force
    06:49 Impactful Use Cases in Sales and Marketing
    10:36 Integration with OpenAI and Future Roadmap
    14:53 Demonstration of Agent Force Features
    26:14 Top Use Cases and Agent Types
    29:00 Acquisition Insights and Technology Integration
    33:17 The Future of AI Agents
    38:55 Personal AGI Experiences and Innovations
    44:31 Predictions for AI's Future and Accessibility

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    49 分
  • Why 90% of Startup Ideas Fail Before Week 2 (And How I Validate Mine in 7 Days)
    2025/06/30

    Your competitors are already using AI. Don't get left behind.

    Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S

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    Ryan Staley discusses the high failure rate of startup ideas and shares his personal journey of validating his own startup concept. He emphasizes the importance of building in public, leveraging AI tools for market research, and the psychological resilience needed for entrepreneurship. Staley also shares insights from industry experts on creating a minimum viable product (MVP) and understanding founder market fit, while encouraging a long-term vision for success.


    Chapters

    00:00 Introduction to Startup Challenges and Personal Journey

    01:40 Validating Startup Ideas: Week One Insights

    05:29 Key Takeaways from Industry Experts

    08:52 Psychological Resilience in Entrepreneurship

    10:30 Looking Ahead: Next Steps in the Journey

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    12 分
  • Make Agents vs. Classic Automation: The Truth About AI Workflows
    2025/06/25

    Your competitors are already using AI. Don't get left behind.

    Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S

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    In this conversation, Ryan Staley and Tom Andrews discuss the capabilities and challenges of Make.com and its new agent features. Tom shares insights on how Make.com integrates various systems for automation, the importance of automation skills over AI agents, and the learning resources available for those interested in mastering the platform. They also explore the limitations of current AI agents and speculate on the future of automation technology.


    Chapters


    00:00 Introduction to Make.com and AI Agents
    02:36 Exploring Make.com Agents and Automations
    05:15 The Value of Automation vs. Agents
    08:19 Learning Paths and Resources for Make.com
    11:12 Challenges and Limitations of Current Agent Technology
    13:35 Future of Automation and AI Integration

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    18 分
  • My Sales Team Just Became 100x Smarter by connecting my CRM to ChatGPT
    2025/06/22

    Your competitors are already using AI. Don't get left behind.

    Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S

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    In this video, I reveal how to enhance CRM systems using the deep research capabilities embedded in AI models like OpenAI. I share a step-by-step guide on creating effective prompts, connecting CRM systems such as HubSpot, and transforming insights into actionable strategies for revenue growth. I emphasize the importance of leveraging AI for data analysis and highlight the potential it holds to significantly improve business outcomes.


    Chapters

    00:00 Unlocking CRM Potential with Deep Research

    02:50 Step-by-Step Guide to Implementing Deep Research

    06:12 Transforming Insights into Actionable Strategies

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    7 分
  • Automation vs. Agents: What Really Happens When AI Breaks Down
    2025/06/18

    Your competitors are already using AI. Don't get left behind.

    Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S

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    In this conversation, Ryan Staley and Tom Andrews discuss the integration of AI and automation within Pavilion, focusing on the development of a mentoring program. Tom shares insights into the challenges faced while building an AI-driven matchmaking system for mentors and mentees, the iterative process of refining prompts for better results, and the eventual success achieved with the Manus platform. The discussion highlights the importance of clear communication in AI prompting and the potential for transferring these techniques across different applications.


    Chapters


    00:00 Introduction to Pavilion and AI Integration
    02:51 Building a Mentoring Program with AI
    05:49 Challenges with AI Matchmaking
    08:43 Iterating on AI Prompts for Better Results
    11:39 Finalizing the Mentoring Match Process
    14:54 Transferring AI Prompting Skills
    16:37 Conclusion and Future Insights

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    17 分
  • The $30M Zero-Employee Challenge: Building with AI Agents, Not Humans
    2025/06/16

    Your competitors are already using AI. Don't get left behind.

    Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S

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    In this conversation, Ryan Staley interviews Amos Bar-Joseph, the founder and CEO of Swan AI, about the innovative approach to building an autonomous business using AI agents. They discuss the shift from traditional growth strategies to a model that leverages AI for operational efficiency, the creation of self-learning systems, and the integration of AI into go-to-market strategies. Amos shares insights on how to build a business that scales without increasing headcount, emphasizing the importance of human-AI collaboration and the iterative process of developing AI capabilities.


    Chapters


    00:00 Introduction to Autonomous Business Models
    02:48 Reimagining Growth Strategies with AI
    05:50 Building an Autonomous Business Framework
    08:54 Leveraging AI Agents for Operational Efficiency
    12:03 Creating a Self-Learning Support System
    15:08 The Role of AI in Go-To-Market Strategies
    17:58 Integrating AI Agents into Business Processes
    21:01 Future of Autonomous Business and Closing Thoughts

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    22 分
  • The $3 Trillion Labor Question: Will AI Really Replace Us?
    2025/06/11

    Your competitors are already using AI. Don't get left behind.

    Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S

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    Summary
    In this conversation, Ryan Staley and Mike Palmer discuss the future of AI and data, drawing parallels to past technological transformations. They explore the importance of understanding customer needs, the potential for AI to enhance productivity, and the evolving landscape of data applications. Palmer emphasizes the need for companies to adapt and innovate in order to thrive in the changing environment, while also highlighting the creative potential of humans in leveraging new technologies.



    Chapters


    00:00 The Evolution of AI and Data
    10:09 Future of Data and AI Applications

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    14 分
  • How To Access Autonomous Agents in Copilot
    2025/06/08

    Your competitors are already using AI. Don't get left behind.

    Weekly strategies used by PE Backed and Publicly Traded Companies →https://hi.switchy.io/U6H7S

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    This is my 500th episode!


    In this episode, Ryan Staley discusses the challenges many organizations face with Microsoft Copilot and how to unlock its full potential. He shares insights from his experiences at a recent Gartner event and provides a step-by-step guide on how to leverage Copilot effectively. Staley emphasizes the importance of using advanced features and prompts to gain valuable insights and improve productivity. He also explores various use cases for Copilot, including developing business strategies and analyzing data, ultimately encouraging users to explore the tool's capabilities further.


    Strategic Implication: This is a step in the right direction to level the AI playing field for enterprise teams previously limited by tool restrictions.


    The Question Authority: If your organization restricts AI tool usage, have you audited what capabilities already exist within approved platforms?


    Share your experience—what AI capabilities do you see Copilot missing that still need to be unlocked?


    Chapters

    00:00 Unlocking Microsoft Copilot's Potential

    08:38 Advanced Use Cases for Copilot

    09:04 Conclusion and Future Insights

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    9 分