⚠️ AUDIO LISTENER WARNING: This episode involves extensive screen sharing, video breakdowns, and visual comparisons. While you can listen along, this episode is best experienced as a video on Spotify or YouTube.

In this episode of It's Not the End of the World: Everyday Usecases for AI, Bobby (Creative Director) and Luke (Senior Motion Graphics Artist) look at the rapid advancements in AI filmmaking over the past year. They also explore vibe-coding and the various apps Bobby has built with limited coding experience.

A Note on the Format: This was originally intended to be one episode but Bobby and Luke really got granular, so we decided to split it into two parts to give each topic (AI video and vibe-coding) the time it deserves.

In this part 1 they break down the exact workflow used to create a Pixar-style short film using the latest generative tools. We move beyond simple prompting and get into the nitty-gritty of "Acting" for AI, using Adobe Firefly for sound design, and the editing hacks in Premiere Pro that make AI video look seamless.

They cover:

• The Workflow: How to use Nano Banana Pro and Adobe Firefly Boards to keep characters consistent.
• The Animation: Using Kling AI and Google Veo for complex camera moves.
• The Audio: Creating custom sound FX with your voice and Adobe Firefly.
• The Hacks: How to use the "Morph Cut" tool in Premiere to hide AI glitches.
• The Assist: Using Gemini and ChatGPT to write After Effects expressions and guide you through complex tools.
  

Featured Tools:

• Nano Banana Pro
• Google Veo
• Kling AI
• Adobe Firefly (Image & Sound)
• Runway
• ElevenLabs (Voice Synthesis)
  

In Part 2 Bobby discussed building 3 apps in 2 weeks using Gemini.

• 00:00 - Coming Up: The AI Film Revolution
• 00:36 - Intro: Bobby & Luke on the State of AI
• 01:55 - The "Year 1" Test: Watching the 2024 Film (Runway Gen-1)
• 03:23 - The Struggle: Why Early AI Video Was So Hard
• 05:40 - The "Year 2" Reveal: Watching the New AI Film
• 07:07 - AI Acting: How to Direct Performance (Veo + 11Labs)
• 10:50 - The "Matt Berry" Santa Voice Workflow
• 12:39 - Sound Design: Using Adobe Firefly to Generate FX
• 17:44 - Image Gen: Nano Banana Pro & Adobe Firefly Boards
• 21:54 - Traditional Storyboarding vs. AI Generation
• 25:13 - Animation: Mastering Camera Moves with Kling AI
• 27:51 - Pro Tip: The "Morph Cut" Hack in Premiere Pro
• 30:16 - Physics in AI: The "Hammer" Scene
• 35:32 - Prompting for Emotion (The "Santa Grimace")
• 37:58 - Using Gemini to Write After Effects Code
• 48:10 - Outro: Why We Split the Episode (Tease for Part 2)
  

• AI Disclosure: This episode description and the episode title were written with the assistance of Google Gemini.
  

#AIFilmmaking #NanoBananaPro #KlingAI #AdobeFirefly #GenerativeVideo #RunwayML #VideoProduction #AIWorkflow #PremierePro #AfterEffects

Is being "too perfect" actually a disadvantage in the age of AI?

In this episode, Bobby sits down with Luke Crowe, the Vice President of Backstage.com. Backstage is a legendary institution in the entertainment world—formerly a print magazine found on every NYC newsstand, now a global SaaS platform facilitating thousands of casting calls.

We discuss how AI is quietly reshaping the economics of the film industry, not by creating robot movie stars, but by changing who gets cast in commercials and background roles. Luke shares a fascinating insight into the "Authenticity Backlash"—why advertisers are suddenly looking for actors with unique, quirky features to prove they aren't AI-generated. We also dig into the "DSLR moment" for indie filmmakers and how to use different LLMs to fact-check each other.

In this episode, we cover:

The "Authenticity" Shift: Why looking "too good" might cost you the job.

The "DSLR Moment": How AI is lowering the barrier to entry for indie sci-fi and special effects.

Content Saturation: The downside of democratization and the difficulty of breaking through the "slop."

Practical Use Case: Luke's method for "AI Arbitration"—playing ChatGPT, Gemini, and Grok against one another to catch hallucinations.

Tools Mentioned:

Backstage.com

ChatGPT

Gemini

Perplexity

Grok

Nano Banana (for graphics)

Runway (mentioned in context)

Chapters: (00:00) Intro (00:34) From Magazine to SaaS: The History of Backstage (05:39) Is AI Taking Actors' Jobs? (The Tilly Norwood Myth) (09:16) The "Too Perfect" Problem: The Pivot to Authenticity (14:44) Small Business Hacks vs. Taking Jobs (16:50) The "DSLR Moment" for Indie Filmmakers (24:33) The Downside: Navigating a Sea of Content (29:57) Practical Tip: Playing Models Against Each Other (32:18) Kids vs. AI

Production Credits: Host: Bobby | Guest: Luke Crowe | Copy & Show Notes: Gemini

Is ChatGPT a better doctor than your doctor? Or is it the only thing that can save the human connection in healthcare?

In this episode, Bobby sits down with Dr. Jeffrey Holzberg, a community pediatrician working on the US/Mexico border. Jeffrey shares his perspective on why the current healthcare system—with its 15-minute slots and endless paperwork—is leading to burnout, and how he is using AI to reclaim his time with patients.

They discuss the perspective-shifting study where AI outperformed doctors in diagnosing complex cases, why "AI Scribes" are the future of clinical notes, and how non-medical professionals can use detailed prompts to audit their own health habits.

In this episode, we cover:

The "Firehose" Problem: How medical knowledge is doubling every 73 days and why no human doctor can keep up alone.

The "AI Scribe": How Jeffrey uses tools to listen to appointments and write notes so he can spend more time focused on the patient's needs.

The JAMA Study: The study where ChatGPT scored 90% on diagnostic reasoning vs. 76% for physicians.

The "Placebo Effect" of Trust: Why human connection is still medically necessary, even if AI is smarter.

The "Board of Directors" Prompt: A creative way to turn ChatGPT into a simulated team of health experts to review your lifestyle.

Quote of the episode: "If this role continues to be adversarial, doctors are going to lose... but if we partner with AI, we can support families in a way we've never been able to before." — Dr. Jeffrey Holzberg

Tools & Studies & Further Links:

More on Dr. Jeffrey Holzberg:

www.aleli.com

@drjeff.aleli

Study: Large Language Model Influence on Diagnostic Reasoning (JAMA Network Open, 2024)

Tools: ChatGPT (Voice Mode), OpenEvidence, Freed/Scribe AI.

Check our social media channels (Instagram and TikTok) where we are sharing Dr Holzberg's prompts from the end of the episdoe.

Timecoded Chapters:

00:00 - Intro: The 15-minute appointment problem

03:38 - The "Firehose": Why medical knowledge doubles every 73 days

09:48 - The AI Scribe: How AI is letting doctors make eye contact again

18:37 - The JAMA Study: ChatGPT (90%) vs. Doctors (76%)

23:16 - From "Cheating" to Essential Partner: Jeff's watershed moment

27:54 - Why we still need humans (The Placebo Effect & Trust)

43:41 - Quick Tip 1: Creating a "Personal Health Board of Directors"

50:21 - Quick Tip 2: The "Blind Spot" Prompt for finding behavioral patterns

52:32 - Outro

Disclaimer: Although Dr. Jeffrey Holzberg is a medical professional, the content in this episode is for informational and entertainment purposes only and does not constitute medical advice. Never disregard professional medical advice or delay in seeking it because of something you have heard on this podcast or read in these notes. AI tools can hallucinate and make errors; they should never replace the judgment of a qualified healthcare provider.

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Production Credits: Host: Bobby | Guest: Dr. Jeffrey Holzberg | Copy & Show Notes: Gemini

Can you build an app in an afternoon with zero coding experience? Or use ChatGPT to demand justice after a life-threatening accident?

In this episode, Bobby sits down with Catherine Crowe, Managing Partner at Quite Frankly Productions. Catherine shares her perspective as a "non-techie" business leader who uses AI not just to manage a production company, but to navigate parenting, shopping, and life in general.

They discuss the practical side of AI—from deciphering foreign labels at the supermarket to drafting high-stakes legal emails after a stray golf ball struck her daughter. Plus, in a special addendum recorded weeks later, Bobby and Catherine reveal how they both used the new "Vibe Coding" trend to build fully functional software tools for their business and family life in a single afternoon.

In this episode, we cover:

Vibe Coding: How the era of "writing code" is ending and how non-techies are using tools like Google AI Studio to build custom apps (like a family budget tracker) just by talking to an AI.

The "AI Attorney": How Catherine used ChatGPT to fight a negligence claim and demand safety measures after a dangerous incident involving a local golf course.

Everyday Visual Hacks: Using AI vision to generate recipes from photos of ingredients, compare products at Target, and translate hair dye instructions.

Corporate Productivity: Using LLMs to get over the "ick" factor of writing LinkedIn posts and speeding up tedious procurement bids.

Parenting & Education: The potential for AI to explain "new math" to parents and the debate around kids using AI.

Quote of the episode: "You could even sort of draft a lawyer letter or say, 'My attorney advises me X,' and my attorney is ChatGPT." — Catherine Crowe

Tools mentioned: ChatGPT (Vision & Memory), Google Gemini 3, Google AI Studio, Firebase.

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Timecoded Chapters
00:00 - Intro: The Vibe Coding Revolution
01:55 - Meet Catherine Crowe, Managing Partner at Quite Frankly
03:27 - Bridging the gap between "Techies" and "Production"
05:38 - The Memory Feature: When ChatGPT knows you too well
08:42 - Using AI to cure writer's block for LinkedIn and Procurement
13:31 - Rapid Fire Tips: Flight hacking, Name generation, and Comparisons
15:47 - Visual AI: Translating instructions and "Reverse Engineering" recipes
19:42 - When NOT to use AI: The Spreadsheet Hallucination
25:31 - Parenting: Is AI safe for kids and helping with homework?
34:13 - The "AI Attorney": Fighting a golf course negligence claim
37:45 - ADDENDUM: What is "Vibe Coding"?
41:43 - Building a business budgeting tool in an afternoon
43:10 - Catherine builds a Family Expense Tracker (No Code)
45:51 - Practical Tips: How to start Vibe Coding with Google AI Studio

Is AI the beginning of the end, or just a really efficient way to fix a leaking toilet?

In this episode, Bobby sits down with Andrew Turner, Employee Engagement Director at Diageo North America (the company behind Guinness, Smirnoff, and Captain Morgan). Andrew shares how he went from a "Terminator 2" skeptic—fearing the rise of Cyberdyne Systems—to an AI power user in the corporate world.

They discuss the balance between human authenticity and AI efficiency in corporate communications, and why "Artificial General Intelligence" might not be the scary monster we think it is. Plus, Andrew shares how he uses ChatGPT Vision to handle home repairs and plan complex group trips.

In this episode, we cover:

• The "Aha" Moment: How a flight to Kentucky and a brewery opening prompt changed Andrew's mind on AI.
• Corporate Comms: Using LLMs to cure "blank page syndrome" for executive messaging without losing the human touch.
• Deep Research: How Diageo uses AI agents to spot trends (like Gen Z drinking habits) alongside traditional agency reports.
• Everyday Use Cases: Using ChatGPT to identify broken toilet parts and visualize kitchen renovations.
• The "Gary Cabbage" Incident: Bobby’s struggle with ChatGPT’s long-term memory.
• Travel Hacking: Planning a 60th birthday trip for 12 people with conflicting tastes.

Quote of the episode:

"I have no interest in letting AI do my work for me. But it appeals to me that it gets me started... It’s not a shortcut, it greases the wheels." — Andrew Turner

• Tools mentioned: ChatGPT (Vision & Memory), Google Gemini, Deep Research.

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• 00:00 - Intro & AGI Teaser
• 00:29 - Meet Andrew Turner, Employee Engagement Director at Diageo
• 01:01 - What is "Employee Engagement" in a 30,000-person company?
• 05:29 - Andrew’s "Aha Moment" with AI on a flight to Kentucky
• 08:47 - From "Terminator 2" fears to embracing the tool
• 10:05 - AGI vs. ASI: Is it the end of the world?
• 15:16 - Using AI to cure "blank page syndrome" in corporate writing
• 18:14 - Can AI replace coders? Bobby's failed attempt to build an app
• 23:32 - How big corporations vs. small businesses use AI developers
• 24:22 - AI at Diageo: "Deep Research" and spotting Gen Z trends
• 31:10 - Quick Tip 1: General Use. Be Curious (Fixing a toilet with ChatGPT Vision)
• 33:48 - The "Gary Cabbage" Incident: When ChatGPT’s memory goes wrong
• 35:22 - Quick Tip 2: Specific Use Case. Interior design and visualizing home renovations
• 39:57 - The trust issue: When is it okay to use AI-generated content?
• 43:51 - Quick Tip 3: Unexpected Use Case. Planning a complex group trip for 12 people
• 46:38 - Outro

“It’s adapt or die… and the billable hour won’t survive.” Freshfields partner Jerome Ranawake joins me to talk about how AI is reshaping big-law from the inside: proprietary Gemini tools, NotebookLM for class actions and due diligence, and why clients are now demanding to know how their firms use AI. We dig into what this means for trainees, why rote document review is disappearing, and why Jerome thinks the future looks more like apprenticeships and value-based fees than armies of juniors billing by the hour. Along the way we get practical: how he actually uses Perplexity / Claude / ChatGPT, a simple GCSE prompting framework, AI-planned hiking trips, and a clear warning on hallucinations—“AI is a drug… don’t let early success kill your skepticism.” ⸻ Highlights • Inside a 200-year-old “tomorrow-focused” law firm and its Google Gemini collaboration • How Jerome uses Perplexity, Claude, ChatGPT & NotebookLM for research and case prep • Turning weeks of legal digging into seconds of AI-assisted lookup • Class actions & due diligence: thousands of pages → red-flag summaries • Why clients now ask, “How are you using AI—and how does it save me money?” • The training crunch: fewer grunt hours, more exposure and apprenticeships • Why AI pressures could mean the end of the billable hour • GCSE prompting: Goal, Context, Source, Expectation • Personal use cases: multi-day hiking itineraries and redesigning classic cars • Watch-outs: hallucinations, over-trusting outputs, and keeping your guard up ⸻ Chapters 00:00 Intro – Jerome, Freshfields & a 200-year-old firm looking at tomorrow 01:11 “Adapt or die” – why AI is now a strategic imperative 06:15 Using Perplexity / Claude / ChatGPT for pure legal research 07:20 One week of research vs 10 seconds with Perplexity 08:35 Comparing tools & why links and sources matter 09:38 Freshfields’ Gemini + NotebookLM stack & data protection 11:10 Using AI to expand thinking, not just “give the answer” 13:12 Class actions: summarising thousands of claims at speed 14:58 Data rooms, due diligence & standardized AI prompting 16:26 What happens to junior lawyers & grunt work? 18:06 Apprenticeships, judgment, and experience in an AI world 21:23 Exponential change & trying to reason about the curve 24:30 Tip: GCSE prompting framework 26:58 Tip: Using AI for complex hiking itineraries 29:32 Tip: Fun design use cases (classic cars in 2025) 31:39 Watch-out: “AI is a drug” – stay skeptical ⸻ Guest Jerome Ranawake — Partner at Freshfields Bruckhaus Deringer, New York. CTA Subscribe to It’s Not the End of the World: Everyday Use Cases for AI for more real-world conversations on how people are actually using these tools. If you enjoyed this episode, a rating or review really helps. SEO Tags AI in law, generative AI legal, Freshfields, Gemini NotebookLM, Perplexity AI, Claude, ChatGPT for lawyers, billable hour, legal apprenticeships, due diligence automation, class action AI, GCSE prompting, practical AI tips

High School Teacher and Head of Science Dipesh Patel (London; ex-engineer) joins us to unpack how AI is transforming classroom practice—differentiation at scale, scaffolded literacy, and auto-generated problem sets—turning prep hours into bespoke learning. We get practical too: prompt recipes for physics, starters that calm a class, and how to stay accurate without losing the human touch.

• Differentiation beyond “low/mid/high”: truly bespoke tasks for 30 students
• Prompting AI to generate graded physics sets (with workings, hints, and misconceptions)
• Literacy scaffolds at multiple reading ages (incl. EAL support)
• AFL at speed: MCQs → Google Forms → instant feedback
• Starters that settle behavior (word-search + 5 Q’s) and stretch for early finishers
• Saving & sharing prompts so whole departments level up

00:00 Game-level “just hard enough” engagement analogy

00:36 Intro & Dipesh’s path (engineer → physics teacher → Head of Science)

02:56 First contact with LLMs; when it clicked for teaching

03:38 Physics workflow: 10 graded questions with workings, hints, and links

05:13 Better resources, less time; mixed-ability wins

06:36 Literacy scaffolds and EAL-friendly reading tiers

07:54 Stretch tasks & reports for high-attainers

09:17 Reading-age differentiation (same concept, multiple levels)

14:13 Teacher workload + recruitment crisis; where AI fits

16:46 Non-specialists teaching with AI support; communicating clearly

18:32 Translation and clarity for EAL classrooms

19:51 Accuracy & hallucinations—using AI as a support tool

21:20 Meta-move: ask the model to write the reusable prompt

24:13 Tip 1: Start with admin-heavy tasks you don’t need to “author”

24:59 Tip 2: AFL quizzes (MCQ banks → Forms → instant check)

26:47 Behavior management via engaging starters

28:05 Auto-generating visuals (word searches, simple explainer assets)

31:10 Surprising use: writing comms/marketing for the department

33:08 The teacher’s evolving role; more projects and human skills

AI in education, differentiated learning, assessment for learning, teacher workload, classroom AI, ChatGPT for teachers, Google Gemini in schools, physics worksheets, literacy scaffolding, EAL support, prompt engineering for teachers, auto-marked quizzes, IB Physics, behaviour management starters, practical AI tips

Front End Lead Ben Kemp (CyberOwl; ex-Citi & Shell) joins us to unpack how AI is reshaping software work—10× code output, QA as the new choke point, and why “prompting” is fast becoming everyone’s core skill. We get practical too: fridge-photo recipe hacks, durable prompt habits, and where to draw the line on using AI for emotional support. It’s not the end of the world—it’s a recalibration.

Highlights

• What a front-end dev actually does vs UX design
• How ChatGPT/Claude & GitHub Copilot changed day-to-day coding
• Hiring tests in the LLM era & the “who wrote this?” problem
• QA as the bottleneck and why it’s more valuable than ever
• Three quick tips: fridge-to-recipe, prompt stacks, and using AI for reassurance (with caveats)

Chapters

00:00 AI code flood & the QA choke point

01:05 What front-end dev means (vs UX)

03:14 Sprint workflow, tickets, story points

06:36 Tools: ChatGPT/Claude; privacy modes

07:47 GitHub & Copilot explained

10:49 Hiring/tests post-LLMs

12:38 Output vs review; ushering AI-made code

15:14 Role shifts; QA demand

18:24 Skills obsolescence & human-in-loop

32:40 Tip 1: Fridge photo → recipe

35:24 Tip 2: Prompt engineering as a superpower

37:54 Tip 3: AI for reassurance—limits

41:20 LLMs vs social media; back to real life

SEO Tags

AI in software, front-end vs UX, GitHub Copilot, ChatGPT for coding, Claude, QA engineering, software hiring, prompt engineering, practical AI tips

It’s Not the End of the World: Everyday Use Cases for AI is a podcast featuring down-to-earth conversations with real people about how they’re using AI in their daily work, creative projects, and life.

In this episode, Jez Frankel — CEO of Quite Frankly Productions — talks about adopting AI as a practical, everyday tool. Jez uses ChatGPT as a “smarter search engine,” leans on it to translate legalese and sanity-check contracts, and has raised the bar on client decks with AI-generated visuals.

He shares a striking shift at work: for the first time, employees are quoting clauses from their own contracts back to him—likely after uploading them to an LLM—an empowerment trend he welcomes (even if it keeps him on his toes).

Jez and Bobby dig into prompt iteration (why the follow-up question matters), the pace of AI’s evolution, and what faster workflows mean for creative businesses.

Hosted by Bobby Miklausic. Produced by Quite Frankly Productions | www.quitefranklyproductions.com For feedback or to be on the show, please email [email protected]

It’s Not the End of the World: Everyday Use Cases for AI is a podcast featuring down-to-earth conversations with real people about how they’re using AI in their daily work, creative projects, and life.

In this episode, Luna Kaltenborn — an editor and camera operator at Quite Frankly Productions in New York — shares how AI tools like ChatGPT have become an everyday companion in her multilingual life and creative workflow. She explains how she uses AI to communicate confidently in English, translate messages between Mandarin and English, and even learn Japanese for travel.

Luna and Bobby also discuss the role of AI in problem-solving and automation — from debugging editing software to programming a Raspberry Pi to keep her cat cool while she’s away. The conversation explores how non-native speakers, creatives, and even pet owners can integrate AI naturally into daily routines.

Hosted by Bobby Miklausic.

Produced by Quite Frankly Productions | www.quitefranklyproductions.com

For feedback or to be on the show, please email [email protected]