Fast Hours

The velocity of novelty makes creative work easier to forget when trends turn over before people see a distinct idea more than once.
Jack Butcher built Visualize Value one black-and-white diagram at a time. He talks with Drew Brucker and Rory Flynn about what happens when the feed asks for something different every time he posts. Rory’s example is a talking AI yeti that had about two weeks in the sun.
Jack Butcher traces Visualize Value from agency pitch decks to a daily diagram series. The conversation covers pattern interrupts, social media discovery, the Google Veo 3 talking-yeti trend, and creative judgment. Jack Butcher also describes using Claude, ChatGPT, and Codex in daily creative work.
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⏱️ Fast Hour
00:00 Meet Jack Butcher, founder of Visualize Value
04:45 Pitch decks built Jack’s visual storytelling skill
07:00 Turning one agency skill into a focused service
09:52 The Visualize Value idea that found an audience
17:15 The value in deleting most of the deck
24:03 Creative judgment means taking a risk
28:34 When spectacle gets cheap, value moves
30:35 The LEGO ad that says everything without copy
33:27 How a pattern interrupt becomes a template
38:44 The feed makes repeat exposure harder
40:05 When repetition stops paying off
42:35 The velocity of novelty and the AI yeti
44:54 Using AI beyond doing the old job faster
53:30 AI has reached every part of Jack’s process
55:06 From writing partner to generative art
57:05 A new laptop without Figma or Adobe
59:17 The illusion of working less with AI
1:03:17 Public deadlines get creative work out the door
1:05:58 AI agents clear the admin from Jack’s day
1:07:45 Bullshit Jobs and the work people still pay for
1:10:01 Making art that can be the product
1:19:04 Escaping creative autopilot
1:22:15 Creative identity meets a changing market
1:30:46 The problem with predicting exponential change
1:32:38 A shout-out to the deck makers---/ Jack Butcher /
Art: https://jack.art/
Visualize Value: https://visualizevalue.com/
X: https://x.com/jackbutcher
Instagram: https://instagram.com/jckbtchr
Writing: https://visualizevalue.substack.com/
Mentioned in the conversation
Build Once, Sell Twice: https://visualizevalue.com/learn/build-once-sell-twice-the-productization-playbook
The Almanack of Naval Ravikant: https://www.navalmanack.com/
Bullshit Jobs: https://www.simonandschuster.com/books/Bullshit-Jobs/David-Graeber/9781501143335
/ Fast Hours /
Episodes, transcripts, tools, and guests: https://fasthourspodcast.com/
YouTube: https://www.youtube.com/@FastHoursAI
Spotify: https://open.spotify.com/show/0yAw8VHGcGq1eqG1zzbS2
Apple Podcasts: https://podcasts.apple.com/us/podcast/fast-hours/id1755081772
#JackButcher #VelocityOfNovelty #VisualizeValue #FastHours

Anthony Pompliano chooses AI projects around problems he needs solved, friction worth fixing, and builds he enjoys.After investing in 300+ companies, Pomp still builds software because something in his own day annoys him. He joins Drew Brucker and Rory Flynn to explain when an AI idea earns his time, when paying for existing software makes more sense, and why a weekend experiment can be valuable just for the practice. The hosts recognize the habit of turning every free evening into another build (their podcast website gives them away).Anthony Pompliano covers AI project selection, build versus buy decisions, and rapid product iteration. Silvia, ChatGPT, Claude, custom AI models, and Slack support agents supply concrete examples. Personal AI command centers, podcast repurposing, YouTube comment filtering, and creative context connect AI development to everyday work.#AIAgents #AnthonyPompliano #FastHours---⏱️ Fast Hour00:00 Meet Anthony Pompliano02:47 The Personal Problem Behind Silvia AI04:46 The $550,000 AI Bill That Forced a Rethink06:17 Inside Silvia's Custom AI Stack09:56 10 People, Dozens of AI Agents10:48 Toby: AI Support With Human Approval13:23 Competing When Big AI Labs Copy Your Features17:12 Building AI Products People Want to Keep Using21:13 The AI Command Center Pomp Built for Himself22:11 Building With AI Through Fast Iteration23:29 Shipping Speed as an AI Investing Signal25:16 Should You Build It or Keep Paying for Software?26:38 The AI Projects Pomp Makes Time For27:06 Turning Podcast Episodes Into Articles and Clips32:24 Pomp's Late-Night AI Building Habit33:16 Using Multiple AI Agents to Find Opportunities36:28 Protecting Family Time When You Love Building40:06 Why AI Saves Time and Creates More Work40:36 Training an AI to Filter YouTube Comments41:34 How Pomp Spots an AI Idea Worth Building43:12 Spotting Real AI Adoption47:43 When Expertise Gets in the Way of New Ideas48:39 Asking AI What to Do Next50:31 Giving AI the Context to Be More Creative51:19 How AI Changed Pomp's Curiosity and Delegation53:20 The Fast Hours Sign-Off---🔗 Resources/ CONNECT WITH ANTHONY POMPLIANO / Website: https://www.anthonypompliano.com/Silvia: https://www.cfosilvia.com/X: https://x.com/APomplianoLinkedIn:   / anthonypompliano  Instagram:   / pompglobal  The Pomp Letter: https://pomp.substack.com/Anthony’s books: https://www.anthonypompliano.com/books/ THE POMP PODCAST /Website: https://www.pomppodcast.com/YouTube:    / anthonypompliano  Spotify: https://open.spotify.com/show/0bn8XQH...Apple Podcasts: https://podcasts.apple.com/us/podcast...---FOLLOW FAST HOURSWebsite: https://fasthourspodcast.com/Spotify: https://open.spotify.com/show/0yAw8VH...Apple Podcasts: https://podcasts.apple.com/us/podcast...

Creative teams get to one click by building and testing Figma Weave workflows, then packaging repeat work into shared tools.
Figma Weave Creative Workflow Advocate Ron Baranov shows how the hours behind a one-click AI workflow become a tool the whole team can run. Drew Brucker and Rory Flynn follow the builds, from looping animations to locked illustration styles, and Rory discovers version history after explaining his backup routine. (Excellent timing.)
[Discussed in this episode]
Figma Weave connects large language models (LLMs), image generation, and video generation into repeatable creative workflows. Ron Baranov covers automated prompt writing, looping animations, locked brand styles, character contact sheets, and shared team tools. Figma integration, Model Context Protocol (MCP), version history, and Gen Effect controls support production workflows and creative decisions.
#FigmaWeave #AIWorkflows #CreativeAutomation #FastHours
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⏱️ Fast Hour
00:00 Opening and Ron Baranov's Creative Background
08:07 What a Creative Workflow Advocate Does
12:39 Helping Enterprise Teams Build AI Workflows
17:11 The LLM Gap in Creative Workflows
24:35 Learn Figma Weave by Taking Workflows Apart
27:24 One Prompt, Six Image Models
32:04 LLMs Write Camera-Angle Prompts
34:44 Which AI Models Can Enterprise Teams Use?
38:30 Teaching AI Without Overwhelming a Team
43:24 Automating Loop Animations
45:35 Turning a Workflow Into a Tool the Team Can Run
47:27 A Brand Illustration Tool With One Input
49:35 Connecting Weave Assets to Figma Frames
55:17 Running Weave Tools Through Claude and MCP
57:30 What It Takes to Get to One Click
1:02:01 Using Custom Weave Tools Inside Figma
1:04:47 Building Characters From Visual Contact Sheets
1:07:28 Version History Surprises Rory
1:11:36 Keeping Creative Choices in the Workflow
1:14:18 Inside the Workflow Advocate Team
1:18:45 Creating Custom Effects With Gen Effect
1:23:17 Getting a Whole Creative Team Using AI
1:31:28 The Creative Skills Ron Would Learn Next
1:34:49 Behind the Figma Config Presentations
1:39:33 Figma Weave Office Hours and Community
1:40:13 Handlers, Fixers, and the Closing Shout-Outs
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✱ Resources from the episode
/ Workflows & Tools /
Ron's create character workflow: https://app.weavy.ai/flow/ChkZWxAE74RbiTn20eIjbc
Intro to Figma Weave workflow: https://app.weavy.ai/flow/2ACz7n2ycDm6jxbh0D0jf1
Gen Effect workflow: https://app.weavy.ai/flow/Y5IBkzwFyc0zeYioDmGB6K
Extract a product from image tool: https://app.weavy.ai/flow/YI6F6lHjCn7K6T6HZg1bjg
/ Tutorials /
Weave first steps: https://www.youtube.com/watch?v=1pwXwbtqjBQ&t=1426s
Figma Weave youtube channel: https://www.youtube.com/channel/UCWqrnJYussMFHy5_AxwK5gg
/ Ron's Social /
Linkedin: https://www.linkedin.com/in/ron-baranov-b31740100/
Instagram: https://www.instagram.com/ronbaranov/
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⚡️ Explore all episodes, transcripts, tools, and guests: https://fasthourspodcast.com/

Drew Brucker and Rory Flynn have officially reached the point where their AI agents are doing more work than they can keep track of.Six months ago, they were discussing who they'd need to hire to scale Fast Hours. Now they've built an interconnected system handling everything from podcast clips and thumbnails to website publishing, creative production, and client workflows.Naturally, that freed up enough time for Drew to spend an unreasonable number of hours building a squirrel video game with his dad, while Rory assembled an army of AI agents inspired by Lord of the Rings.Somewhere between the squirrels, the robots, and the existential questions about creative work, there's a pretty compelling picture of what happens when AI gives people the ability to execute their ideas.[Discussed in episode]Drew Brucker and Rory Flynn explain AI agents, Claude skills, Model Context Protocol integrations, and reusable creative workflows. Fast Hours production covers Riverside, Cloudflare, YouTube packaging, clip selection, and thumbnails. Creative experiments span Blender, Magnific, Runway, Higgsfield, and Figma. Examples show agent teams, model specialization, automated quality control, and context-driven production.#AIAgents #CreativeAI #AIWorkflows #ContentCreation #FastHours---⏱️ Fast Hour00:00 Fast Hours hits 100K subscribers04:21 Flying cars are getting ridiculous11:26 Cars are becoming software platforms14:40 Why AI is destroying traditional software moats16:09 AI can reverse-engineer entire software products20:32 The competitive advantages that still matter23:11 We built an entire creative team with AI agents25:33 The AI creative explosion30:26 Combining AI, Blender, Excel, and code32:25 The new formula for creating with AI34:37 Building a video game with Claude43:13 Turning curiosity into an AI learning program46:44 A new approach to creative ideation48:41 Building a team of specialized AI agents52:39 Tracking how AI crawlers interact with websites54:51 Using AI skeptics to improve creative work56:47 Our AI-powered podcast production system1:00:51 Cutting thumbnail production from 6 hours to 30 minutes1:02:37 Automating podcast publishing with AI agents1:04:45 Building reusable AI workflows for clients1:07:01 Running entire creative projects with AI agents1:09:49 Creating interactive websites with AI1:12:22 Automated creative testing and quality control1:17:10 Better AI video with virtual camera operators1:18:39 Recreating Fast & Furious scenes with AI and Blender1:21:51 The problem with unlimited creative possibilities1:23:36 Drew shares 12 free Claude skills1:26:18 Rory's Lord of the Rings AI agent army1:29:24 Should AI agents handle your personal life?1:36:03 Midjourney explores MCP integration1:36:55 Apple, Meta, and the future of local AI1:41:38 Remembering Napster, LimeWire, and early computing1:46:43 Final thoughts and shout-outs---🔗 ResourcesDrew's Claude Skills: https://github.com/dcbruck/claude-skillsDrew's Squirrel Game: https://squirrelscramble.com/Fast Hours Podcast Website: https://fasthourspodcast.com

Phil Rivers is using AI to scale his agency by automating approvals, task creation, onboarding, and shared workflows across his team.Drew and Rory spend an embarrassing amount of time obsessing over AI visuals. Phil Rivers shows up with 40 clients, 16 employees, and an entirely different obsession: automating all the boring stuff nobody wants to do.And it turns out the boring stuff might be where the biggest opportunities are hiding.Phil has rebuilt his agency around an AI-powered operating system that handles client approvals, project management, task creation, onboarding, and internal knowledge sharing.His goal? Double the number of clients his existing team can handle without hiring another employee.And he's already built much of the infrastructure to pursue it.Phil Rivers breaks down an AI-powered agency operating system built with Claude Code, Model Context Protocol (MCP), Supabase, GitHub, Slack, Asana, and Figma. Automated client approvals create campaign tasks and deadlines. A Slack agent named Tim drafts Asana tasks with dependencies. Klaviyo data, onboarding automation, permissions, and shared knowledge help teams handle more clients.#AIAutomation #ClaudeCode #AgencyOperations #FastHours
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⏱️ Fast Hour
00:00 Who is Phil Rivers?
08:16 Why rebuild an agency with AI?
11:15 How an email agency first used Midjourney
14:24 How do you adopt AI without slowing down?
24:35 How to build an agency on AI from day one
27:03 How can Asana automate campaign planning?
34:36 Why service keeps clients longer than results
37:30 How do you build client context into AI?
43:20 Who decides what the AI remembers
47:38 How AI unblocks account leads to just serve
49:52 How can teams share AI skills?
54:11 How does one MCP support an entire team?
58:17 Why one-off tasks break agency teams
1:00:13 Meet Tim, the Slack agent that writes tasks
1:05:41 How many clients can AI add with zero new hires
1:09:19 Can AI shorten employee onboarding?
1:14:27 Which AI projects aren't worth building?
1:18:20 How do you keep AI workflows current?
1:19:13 How to prove AI ROI to your boss
1:24:50 How do you secure shared AI infrastructure?
1:30:11 What can Obello automate for brands?
1:34:42 How many clients can the team handle?
1:35:42 How does AI automate client onboarding?
1:38:33 What's Phil's biggest AI operations lesson?
1:41:24 Who should viewers tell about Fast Hours?