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In this episode of Early Adopter, Jess and Kyle launch their new beginner-focused series "Where Do I Even Begin?" 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'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.
• LLMs are pattern-based text generators trained on massive amounts of internet data - they predict the next word rather than truly "knowing" answers
• Google'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
• 57% of listeners identified boring admin tasks as their biggest pain point - exactly what LLMs excel at solving
• Always implement human oversight for AI-generated content, especially anything public-facing
• Start small and build confidence - pick one tool and test it with simple admin tasks before moving to complex applications
00:00 Intros Welcome back and listener feedback from Episode 1 Shoutout to moms experimenting with ChatGPT!
03:34 Introducing...Where Do I Even Begin?
New beginner-focused series going back to the basics.
This week, we’re starting with Large Language Models (LLMs) and the primary tools.
05:01 The Rise of Generative AI and LLMs
AI vs. generative AI vs. machine learning explained.
The importance of the ChatGPT moment: November 2022.
How LLMs work: pattern recognition and word prediction
10:00 Why Do LLMs matter for your business?
Understanding the time-saving capabilities and productivity gains
14:51 Inspiration - Some Real World Use Cases
Legal document analysis ("explain it like gossip")
Email chain summarization and tone analysis
Meeting transcription and action item extraction
Investor report analysis and metric comparison
20:53 The Evolution of AI Tools
Introduction to the major LLM platforms - all are available as browser / apps (except Grok which is also available on X)
21:07 OpenAI - ChatGPT
The Swiss army knife, best for beginners
25:18 Google - Gemini
Perfect for Google Workspace users - lots of new features coming
26:22 Anthropic - Claude
Superior for writing and sensitive documents, with a privacy-focused approach
28:57 Perplexity
The fact-checker with citations and more research-focused capabilities
30:44 DeepSeek
Cost-effective coding and logic tasks, with a focus on performance vs. price considerations
31:45 Grok
Real-time social insights (with limitations), Twitter (X) integration
33:34 Deciding Which Tool Is Best for You
Decision framework based on business needs
Recommendation strategies
34:58 Poll Results: Your Most Hated Work Tasks
57% chose boring admin tasks
29% selected slides and presentations
14% picked content creation
0% said endless emails (surprising!)
37:29 AI News of the Week: Google I/O 2025
Gemini 2.5 with 1 million token context window AI mode in Google Search
Real-time translation in Google Meet
Google Flow for AI filmmaking
Virtual try-on technology for e-commerce
Agent mode for complex task delegation
45:52 AI Gone Wrong
Chicago Sun-Times incident with non-existent books
Vendor-supplied content without proper review Importance of AI policies and quality control
49:43 Homework Time
Pick one LLM and test with simple admin task
Share your AI success stories and use cases!
Email results to [email protected]
51:05 That's a Wrap!
Next week preview: Prompt Engineering 101
Testing new Google features
TakeawaysChapters
In this episode of Early Adopter, Jess and Kyle launch their new beginner-focused series "Where Do I Even Begin?" 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'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.
• LLMs are pattern-based text generators trained on massive amounts of internet data - they predict the next word rather than truly "knowing" answers
• Google'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
• 57% of listeners identified boring admin tasks as their biggest pain point - exactly what LLMs excel at solving
• Always implement human oversight for AI-generated content, especially anything public-facing
• Start small and build confidence - pick one tool and test it with simple admin tasks before moving to complex applications
00:00 Intros Welcome back and listener feedback from Episode 1 Shoutout to moms experimenting with ChatGPT!
03:34 Introducing...Where Do I Even Begin?
New beginner-focused series going back to the basics.
This week, we’re starting with Large Language Models (LLMs) and the primary tools.
05:01 The Rise of Generative AI and LLMs
AI vs. generative AI vs. machine learning explained.
The importance of the ChatGPT moment: November 2022.
How LLMs work: pattern recognition and word prediction
10:00 Why Do LLMs matter for your business?
Understanding the time-saving capabilities and productivity gains
14:51 Inspiration - Some Real World Use Cases
Legal document analysis ("explain it like gossip")
Email chain summarization and tone analysis
Meeting transcription and action item extraction
Investor report analysis and metric comparison
20:53 The Evolution of AI Tools
Introduction to the major LLM platforms - all are available as browser / apps (except Grok which is also available on X)
21:07 OpenAI - ChatGPT
The Swiss army knife, best for beginners
25:18 Google - Gemini
Perfect for Google Workspace users - lots of new features coming
26:22 Anthropic - Claude
Superior for writing and sensitive documents, with a privacy-focused approach
28:57 Perplexity
The fact-checker with citations and more research-focused capabilities
30:44 DeepSeek
Cost-effective coding and logic tasks, with a focus on performance vs. price considerations
31:45 Grok
Real-time social insights (with limitations), Twitter (X) integration
33:34 Deciding Which Tool Is Best for You
Decision framework based on business needs
Recommendation strategies
34:58 Poll Results: Your Most Hated Work Tasks
57% chose boring admin tasks
29% selected slides and presentations
14% picked content creation
0% said endless emails (surprising!)
37:29 AI News of the Week: Google I/O 2025
Gemini 2.5 with 1 million token context window AI mode in Google Search
Real-time translation in Google Meet
Google Flow for AI filmmaking
Virtual try-on technology for e-commerce
Agent mode for complex task delegation
45:52 AI Gone Wrong
Chicago Sun-Times incident with non-existent books
Vendor-supplied content without proper review Importance of AI policies and quality control
49:43 Homework Time
Pick one LLM and test with simple admin task
Share your AI success stories and use cases!
Email results to [email protected]
51:05 That's a Wrap!
Next week preview: Prompt Engineering 101
Testing new Google features
TakeawaysChapters