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

This episode was so good, we’re bringing it back!

3 AI agents that do the work of an $84B industry... and 99% of leaders don't even know they exist. The AI Agents require ZERO coding required (and they just went public)These new no-code AI agents eliminated 10 hours of weekly work- and I'm showing you the exact setup that took me 10 minutes to deploy. → The new agent tools from OpenAI, Google & Perplexity that change everything→ My 'Instant Deploy' system that takes 7 minutes to set up→ The automation sequence that runs your business while you sleepChapters00:00 Introduction to No-Code AI Agents02:53 Exploring OpenAI's New Capabilities06:12 Deep Research with Google Gemini09:05 Market Analysis with Perplexity.ai#Throwback

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

In this conversation, Ryan Staley delves into his experiences with Manus, an AI agent, exploring its capabilities and limitations. He shares insights on how to effectively prompt AI for better results, analyzes the quality of the outputs generated, and discusses the importance of clear instructions when interacting with AI tools. The conversation highlights both the potential and challenges of using AI in content creation, particularly on platforms like LinkedIn.

Chapters

00:00 Exploring AI Agents: The Quest for Functionality

02:48 Prompting Techniques for AI Agents

06:01 Analyzing Output: Quality and Engagement

08:56 Improving AI Interactions: Lessons Learned

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/U6H7

In this Ryan’s guest episode on The AI Agents Podcast. He discusses the implementation of AI in business, sharing his extensive experience in the go-to-market space. He emphasizes the importance of aligning AI use cases with business KPIs and addresses the challenges of gaining buy-in from executives. Staley provides insights into successful case studies and offers practical first steps for companies looking to adopt AI. He also introduces the AI model metrics, explaining how different models can be utilized for various business needs. In this conversation, the speakers delve into the evolving landscape of AI tools, particularly focusing on deep research capabilities, the necessity of using multiple AI models for different tasks, and the transition from basic chat interactions to more complex automation workflows. They discuss the implications of AI on the future workplace, including the potential for generational shifts in skill levels and the impact of AI on job roles. The conversation also touches on the innovations in AI operator tools and their future potential.

Chapters

00:00 Introduction to AI Implementation in Business
02:48 Ryan Staley's Background and Experience
05:56 Framework for Scaling Teams with AI
09:12 Case Studies and Success Stories in AI
11:54 Challenges in AI Implementation and Buy-In
15:00 First Steps for Companies to Adopt AI
18:13 AI Model Metrics and Use Cases
25:59 Exploring Deep Research Tools
31:00 The Value of Multiple AI Tools
32:48 From Chat to Automation: Evolving AI Use
37:10 The Future of AI and Workplace Dynamics
48:22 Innovations in AI Operator Tools