{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/68a595f43b6c865497e10d7f/68a596013b6c865497e10f16?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Where Do I Even Begin? Your First Steps with AI Tools for Business Success","description":"<p>In this episode of Early Adopter, Jess and Kyle launch their new beginner-focused series &quot;Where Do I Even Begin?&quot; They break down what Large Language Models (LLMs) are, explain the core AI tools available today, and provide a comprehensive comparison of ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Grok. The hosts also dive deep into Google&#39;s massive I/O 2025 announcements that could revolutionize small business operations, share listener poll results about most-hated work tasks, and discuss a cautionary tale about AI-generated content gone wrong at the Chicago Sun-Times.</p><p>• LLMs are pattern-based text generators trained on massive amounts of internet data - they predict the next word rather than truly &quot;knowing&quot; answers</p><p>• Google&#39;s I/O 2025 announcements democratize enterprise-level AI capabilities for small businesses through tools like Gemini 2.5, AI search mode, and Google Flow</p><p>• 57% of listeners identified boring admin tasks as their biggest pain point - exactly what LLMs excel at solving</p><p>• Always implement human oversight for AI-generated content, especially anything public-facing</p><p>• Start small and build confidence - pick one tool and test it with simple admin tasks before moving to complex applications</p><p><strong>00:00 Intros</strong> Welcome back and listener feedback from Episode 1 Shoutout to moms experimenting with ChatGPT! </p><p><strong>03:34 Introducing...Where Do I Even Begin?</strong> </p><ul><li><p>New beginner-focused series going back to the basics. </p></li><li><p>This week, we’re starting with Large Language Models (LLMs) and the primary tools.</p></li></ul><p><strong>05:01 The Rise of Generative AI and LLMs</strong> </p><ul><li><p>AI vs. generative AI vs. machine learning explained. </p></li><li><p>The importance of the ChatGPT moment: November 2022. </p></li><li><p>How LLMs work: pattern recognition and word prediction</p></li></ul><p><strong>10:00 Why Do LLMs matter for your business?</strong> </p><ul><li><p>Understanding the time-saving capabilities and productivity gains</p></li></ul><p><strong>14:51 Inspiration - Some Real World Use Cases</strong> </p><ul><li><p>Legal document analysis (&quot;explain it like gossip&quot;) </p></li><li><p>Email chain summarization and tone analysis </p></li><li><p>Meeting transcription and action item extraction </p></li><li><p>Investor report analysis and metric comparison</p></li></ul><p><strong>20:53 The Evolution of AI Tools</strong></p><p>Introduction to the major LLM platforms - all are available as browser / apps (except Grok which is also available on X) </p><p><strong>21:07 </strong><a href=\"https://chatgpt.com/\"><strong>OpenAI - ChatGPT</strong><u> </u></a></p><ul><li><p> The Swiss army knife, best for beginners </p></li></ul><p><strong>25:18 </strong><a href=\"https://gemini.google.com/\"><strong>Google - Gemini</strong><u> </u></a></p><ul><li><p>Perfect for Google Workspace users - lots of new features coming</p></li></ul><p><strong>26:22 </strong><a href=\"https://claude.ai/\"><strong>Anthropic - Claude</strong></a> </p><ul><li><p>Superior for writing and sensitive documents, with a privacy-focused approach</p></li></ul><p><strong>28:57 </strong><a href=\"https://www.perplexity.ai/\"><strong>Perplexity</strong></a> </p><ul><li><p>The fact-checker with citations and more research-focused capabilities</p></li></ul><p><strong>30:44 </strong><a href=\"https://www.deepseek.com/\"><strong>DeepSeek</strong><u> </u></a></p><ul><li><p>Cost-effective coding and logic tasks, with a focus on performance vs. price considerations</p></li></ul><p><strong>31:45 </strong><a href=\"https://grok.com/\"><strong>Grok</strong></a> </p><ul><li><p>Real-time social insights (with limitations), Twitter (X)  integration </p></li></ul><p><strong>33:34 Deciding Which Tool Is Best for You</strong> </p><ul><li><p>Decision framework based on business needs </p></li><li><p>Recommendation strategies</p></li></ul><p><strong>34:58 Poll Results: Your Most Hated Work Tasks</strong> </p><ul><li><p>57% chose boring admin tasks </p></li><li><p>29% selected slides and presentations </p></li><li><p>14% picked content creation </p></li><li><p>0% said endless emails (surprising!)</p></li></ul><p><strong>37:29 </strong><a href=\"https://blog.google/technology/ai/google-io-2025-all-our-announcements/\"><strong>AI News of the Week: Google I/O 2025</strong></a> </p><ul><li><p>Gemini 2.5 with 1 million token context window AI mode in Google Search </p></li><li><p>Real-time translation in Google Meet </p></li><li><p>Google Flow for AI filmmaking </p></li><li><p>Virtual try-on technology for e-commerce </p></li><li><p>Agent mode for complex task delegation</p></li></ul><p><strong>45:52 </strong><a href=\"https://www.404media.co/chicago-sun-times-prints-ai-generated-summer-reading-list-with-books-that-dont-exist/\"><strong>AI Gone Wrong</strong></a> </p><ul><li><p>Chicago Sun-Times incident with non-existent books </p></li></ul><ul><li><p>Vendor-supplied content without proper review Importance of AI policies and quality control</p></li></ul><p><strong>49:43 Homework Time</strong> </p><ul><li><p>Pick one LLM and test with simple admin task </p></li><li><p>Share your AI success stories and use cases! </p></li><li><p>Email results to <a href=\"mailto:hello@earlyadoptr.ai\"><u>hello@earlyadoptr.ai</u></a>  </p></li></ul><p><strong>51:05 That&#39;s a Wrap!</strong> </p><ul><li><p>Next week preview: Prompt Engineering 101 </p></li><li><p>Testing new Google features </p></li></ul><p><strong>TakeawaysChapters</strong></p>","author_name":"Early Adoptr"}