In this episode, Jess and Kyle deep dive into deep research - the game-changing tools that can turn you into an expert on any topic before your morning coffee. We'll help you discover how to get PhD-level insights without the PhD-level time investment. Plus, we share our first user user case, break down this week's biggest AI news including OpenAI's data retention drama, Meta's big AI investment, and Disney's copyright battle with Midjourney, and why it all matters for your business.

Chapters:

00:00 Did Jenson Really Say That?

03:55What Does Cold Brew Have to Do with AI?

07:29Where Do I Even Begin: Deep Research

13:15 Where Do I Even Begin: Deep Research Behind the Scenes

17:39 Where Do I Even Begin: Deep Research Tools

23:19 Where Do I Even Begin: Deep Research Use Cases

34:47 Using AI to Help With a Difficult Supplier

39:09 AI News of the Week: OpenAI vs NYT, Midjourney Sued and Scale.ai + Meta

47:10 AI Gone Wrong: Claude Blackmails Engineers

50:54 AI Safety and Oversight

52:19 Wrap Up

Connect:

• LinkedIn: ⁠https://www.linkedin.com/company/early-adoptr⁠
• TikTok: @early_adoptr
• Instagram: @early_adoptr

Get in touch with Early Adoptr: [email protected]

Follow Us on Socials & Resources:

IG: https://instagram.com/early_adoptr

TikTok: https://tiktok.com/@early_adoptr

YouTube: https://www.youtube.com/@early_adoptr

Substack: https://substack.com/@earlyadoptrpod

Resources: https://linktr.ee/early_adoptr

Hosted on Acast. See acast.com/privacy for more information.

In this episode, Jess and Kyle talk AI at SXSW London, and we do a deep dive in Custom GPTs, aka specialized AI assistants that can revolutionize how small businesses operate. We talk about how Mary Meeker’s AI report and Meta’s AI ad creation will affect small businesses and entrepreneurs, as well as the cautionary tale of Builder.ai. 

• [00:00] Intro

• [00:50] Welcome to Episode 4: What we've been up to this week

• [07:16] Where Do I Even Begin: GPTs

• [10:03] Custom GPTs: Revolutionizing AI Applications

• [22:56] Custom GPTs - Real World Examples

• [28:36] Poll of the Week

• [29:54] AI News of the Week: Mary Meeker's Report & Meta Goes Full AI Ads

• [40:48] AI Gone Wrong: Builder.ai

• [47:18] Quick Wins!

  
  

  RESOURCES:

  
  

• Mary Meeker AI Report 2025 - https://www.bondcap.com/report/tai/ 

• Meta AI Ad Creation - https://www.theguardian.com/technology/2025/jun/02/facebook-instagram-meta-ai-ad-media-advertising 

• Builder.ai goes bust - https://www.bloomberg.com/news/articles/2025-05-30/builder-ai-faked-business-with-indian-firm-verse-to-inflate-sales-sources-say 

  
  

  CONNECT:

  
  

• LinkedIn: https://www.linkedin.com/company/early-adoptr 

• TikTok: @early_adoptr

• Instagram: @early_adoptr

Get in touch with Early Adoptr: [email protected]

Follow Us on Socials & Resources:

IG: https://instagram.com/early_adoptr

TikTok: https://tiktok.com/@early_adoptr

YouTube: https://www.youtube.com/@early_adoptr

Substack: https://substack.com/@earlyadoptrpod

Resources: https://linktr.ee/early_adoptr

Hosted on Acast. See acast.com/privacy for more information.

In this episode of Early Adopter, hosts Jess and Kyle dive deep into the game-changing world of AI prompt engineering - and trust us, this isn't just another tech tutorial! They share their hard-won insights on how to actually talk to AI tools in ways that get you amazing results (spoiler: most people are doing it completely wrong). From the universal truths of prompting to avoiding the pitfalls, the duo walks you through practical frameworks like RACE and CARE that you can use immediately. Plus, they dish on the latest Anthropic announcements, talk hardware, and their favorite AI fails of the week. Whether you're an AI skeptic or already obsessed, this episode will change how you work with these powerful tools.

Chapters

00:00 Welcome to Early Adoptr & Intros

04:08 Where Do I Even Begin? Prompt Engineering 101

12:48 Prompt Engineering 101: The Universal Truths of Prompt Engineering

15:07 Prompt Engineering 101: Always Be Iterating

20:32 Prompt Engineering 101: RACE framework

25:03 Prompt Engineering 101: CARE framework

26:32 Prompt Engineering 101: Real World Examples

33:22 Prompt Engineering 101: Avoid the Pitfalls

38:25 Poll of the Week...or not?

39:00 AI News That Matters

46:30 AI Gone Wrong - ChatGPT Update

49:13 Wrap-Up and Key Takeaways

50:46 Keeping Up

Takeaways:

• Stop blaming AI for bad results - it's probably your prompts that need work
• The secret sauce: giving AI context is like giving directions to a really smart friend
• Specific, detailed instructions aren't being picky - they're being effective
• Don't get it right the first time? Good! Iteration is where the magic happens
• Understanding how AI actually thinks will make you a prompting wizard
• Frameworks aren't just corporate buzzwords - RACE and CARE actually work
• The AI world is moving fast, and businesses that adapt will crush the competition
• Always fact-check AI - it's brilliant but not infallible
• Your AI outputs will only be as good as your inputs (garbage in, garbage out)
• Think of AI as your incredibly capable but literal-minded assistant
• Building a collection of proven prompts is like having a superpower

Get in touch with Early Adoptr: [email protected]

Follow Us on Socials & Resources:

IG: https://instagram.com/early_adoptr

TikTok: https://tiktok.com/@early_adoptr

YouTube: https://www.youtube.com/@early_adoptr

Substack: https://substack.com/@earlyadoptrpod

Resources: https://linktr.ee/early_adoptr

Hosted on Acast. See acast.com/privacy for more information.

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

Get in touch with Early Adoptr: [email protected]

Follow Us on Socials & Resources:

IG: https://instagram.com/early_adoptr

TikTok: https://tiktok.com/@early_adoptr

YouTube: https://www.youtube.com/@early_adoptr

Substack: https://substack.com/@earlyadoptrpod

Resources: https://linktr.ee/early_adoptr

Hosted on Acast. See acast.com/privacy for more information.

In the inaugural episode of Early Adoptr, hosts Jess and Kyle introduce their mission to make AI practical and accessible for small business owners and entrepreneurs. They share their backgrounds, discuss the rapid evolution of AI technology, and emphasize the importance of community engagement.

The episode covers various topics, including the role of AI in small businesses, listener feedback on desired content, real-world use cases, and the implications of recent AI news.

The hosts also explore image generation tools and best practices for using AI effectively, while cautioning against potential pitfalls. The episode concludes with a call to action for listeners to share their experiences and challenges with AI.

Takeaways

• The mission of Early Adoptr is to make AI practical and accessible for anyone.
• AI technology is evolving rapidly, and staying updated is crucial.
• Real-world use cases of AI can inspire small business owners.
• AI can help small businesses optimize productivity and save time.
• The hosts encourage listeners to share their stories and challenges with AI.

News Stories:

• OpenAI Adds Shopping to ChatGPT in a Challenge to Google
• Perplexity partners with PayPal for in-chat shopping as AI race heats up

Links to Tools:

• https://www.midjourney.com
• https://openai.com/index/dall-e-3/
• https://stability.ai/

Chapters

00:00 Introduction to Early Adopter Podcast

02:53 The Mission of Making AI Accessible

03:55 Meet the Team

08:00 The Importance of AI for Small Businesses

12:24 We Want You aka Community Engagement 

18:33 AI News of the Week

26:21 Tool of the Week: Image Generation

40:28 AI Gone Wrong: Lessons from Coca-Cola

42:46 That's a Wrap

Get in touch with Early Adoptr: [email protected]

Follow Us on Socials & Resources:

IG: https://instagram.com/early_adoptr

TikTok: https://tiktok.com/@early_adoptr

YouTube: https://www.youtube.com/@early_adoptr

Substack: https://substack.com/@earlyadoptrpod

Resources: https://linktr.ee/early_adoptr

Hosted on Acast. See acast.com/privacy for more information.