Fast Hours

So, what can OpenAI’s Astra and GPT Image 2.5 actually do?
Drew Brucker and Rory Flynn put OpenAI’s Astra and GPT Image 2.5 models through a golf course build, a vintage typewriter animation, and a round of image edits. Rory’s golf course experiment burns 70% of his weekly allowance. Drew spends three hours getting a typewriter to type. Their gift for turning a quick test into a side project remains undefeated.
The pro-AI half of the show. The other half: a viral AI resignation that looks planned to the minute, Anthropic's 154-page report on how people misused Claude, and GPT Image 2.5 quietly fixing the reasons everyone kept running back to Nano Banana.
This episode covers OpenAI Astra with computer use, two ChatGPT chats collaborating inside one project, Three.js and Blender renders, a fantasy football analytics hub, and Astra running Midjourney with mood boards and style references. GPT Image 2.5 multi-edit comments, sketch input, custom aspect ratios, and template creator. Anthropic's threat report, Moonshot and Kimi distillation, and the viral AI researcher resignation.
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⏱️ Fast Hour
00:00 What’s on Fast Hours this week?
06:35 Why do traumatic moments burn into memory
07:42 What was different before social media
13:48 This week: Astra, GPT Image 2.5, a viral resignation
15:04 Did an AI researcher really resign over ASI
18:40 How to tell what is true in AI news
20:42 Why quitting your AI job can't stop superintelligence
27:01 What do the cited reports allege about Kimi
28:33 What AI misuse examples do the hosts discuss?
34:07 How did Astra build a golf course prototype?
35:35 How did research improve Astra’s first attempt?
36:33 What happened when two AI chats collaborated?
39:29 Why did Rory stop the drainage research?
40:02 How did Drew approach his Blender experiment?
40:52 How did Astra recreate Drew’s typewriter?
43:49 How long does AI-assisted 3D work take?
44:43 How did Drew build a ChatGPT dashboard?
48:32 What happened when Astra explored Midjourney?
53:56 How did mood boards shape Astra’s prompts?
58:49 What improved in GPT Image 2.5?
01:00:24 How do GPT Image 2.5 edit comments work?
01:01:47 How do you request multiple image variations?
01:03:30 How well did GPT Image 2.5 resize ads?
01:07:11 How reusable templates in GPT Image 2.5 can help brands
01:08:37 What’s coming next for Fast Hours?

To run a solo business on AI, build a system of small skills and agents that handle the admin, comms, and ops so your time goes to creating.
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Two founders who swore AI would give them their time back open the hood on what they actually run.
Drew walks through 37 hand-built skills and a 21-layer system for writing in his own voice.
Rory runs his whole business out of Notion and Claude, down to finding an online fax machine for New York State. Neither of them can remember what half their own skills do.
That's kind of the point.
This episode covers building an AI operating system for a one-person business. Topics include Claude skills and agents, a voice system for writing, email and call ingestion, Notion as a CRM, red-teaming contracts and MSAs, predicting LinkedIn reach, Nano Banana prompt engineering, and handling taxes, invoices, and vendor forms. Fable and Astra model releases open the show.

An AI creative director combines design fundamentals, AI fluency, tool selection, and repeatable workflows to produce better creative work.
The boys over at Fast Hour invites a 24-year-old AI creative director to give away her playbook and somehow gets reminded that buying more AI subscriptions does not count as mastery.
Jamey Gannon explains why AI is a skill, what top operators do differently, how Midjourney mood boards become brand systems, and why sometimes the smartest AI move is opening Photoshop.
Jamey Gannon explains how self-taught design, social media, freelancing, and AI fluency shaped her work as an AI creative director. Jamey Gannon demonstrates Midjourney mood boards, SREFs, Midjourney V8.2 Edit, Krea K2, Claude, Figma, Photoshop, Flora, Nano Banana, and the CXO brand system, including when to build custom tools instead of forcing an existing workflow.
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⏱️ Fast Hour
00:00 Who is Jamey Gannon?
06:43 How Jamey taught herself design at 15
12:23 Why Gen Z chases money over job titles
15:35 What first freelance clients look like at 17
18:43 Why social media is a freelance prerequisite
22:16 Freelance math: 20 clients vs one salary
24:13 How her sister makes $5K–$10K/month with AI
27:08 What is an AI creative director?
28:58 What the AI Creative Director course teaches
33:05 Is Krea catching Midjourney?
35:53 The "easy, fast, cheap" AI lie
38:43 Three moments that hooked Jamey on AI
42:23 How to build brand mood boards
46:00 How one SREF cracked the brand style
46:27 Midjourney + Figma: the pixel shader pipeline
49:06 When you should not use AI
51:53 Two ways to use Midjourney mood boards
56:44 What top AI creatives do differently
59:44 Build the tool when the workflow doesn't exist
1:11:28 Midjourney V8.2 Edit: first live tests
1:15:00 What works and what drifts in Midjourney Edit
1:20:06 Midjourney Edit vs Nano Banana: identity lock
1:21:32 Can Midjourney edit text and fonts now?
1:25:23 Can Midjourney's edit model preserve logos and apparel graphics?
1:31:05 Is Midjourney inpainting or regenerating?
1:34:33 The verdict: using Nano Banana less
1:37:34 Where Nano Banana still fits

Brands pay five figures for AI workflows that turn repetitive creative work into reusable systems teams can run at scale.Drew Brucker and Rory Flynn speedrun their way into a useful business model while trying to explain node-based AI without melting anyone’s brain. The opportunity itself is practical. Find expensive, repetitive creative bottlenecks, turn them into reusable workflows, and make the complicated machinery simple enough that an entire team can actually use it.The boys break down Figma Weave, node-based AI workflows, system prompts, batch processing, arrays, Claude, ChatGPT, Gemini, Flux, Nano Banana, Gen Effect, and MCP. SharkNinja and BarkBox examples show how AI workflows support localization, product visualization, asset re-versioning, creative production, team handoff, and scalable content generation.The bigger idea here is that the value comes from encoding the process, creative logic, and standards into a system that can be reused across hundreds of assets without starting from zero.#AIWorkflows #CreativeAutomation #GenerativeAI #FigmaWeave #aiforbusiness ---⏱️ Fast Hour00:00 Cold opener07:22 Why a full Figma Weave episode09:53 How node workflows went mainstream in a year14:10 Why use a node-based AI tool at all?19:02 Inside the Figma Weave AI toolbox20:53 How to sell AI workflows to businesses23:24 Why brands pay five figures for AI workflows24:33 How SharkNinja localizes across 35 markets30:07 Why recurring tasks belong in workflows31:34 Live build: your first AI workflow39:09 What the Gen Effect node can do44:00 How to turn an image into a 3D asset48:46 Scale one fashion image into reusable assets55:18 How to build a batch-processing engine1:03:24 Prompt vs system prompt: what's the difference?1:05:38 Turn a node graph into a reusable tool1:12:17 Engineering an automated listicle video1:14:51 One-shot video vs modular AI production1:24:29 How BarkBox fixed one production bottleneck1:35:20 Where AI workflows create business ROI1:38:20 Why workflows survive every new AI model1:39:29 Paste your workflow into Claude to debug it1:42:57 Use AI workflows as callable functions1:44:28 Publish your workflows into Claude MCP1:46:09 Resources and wrap-up---FIGMA WEAVE 15% OFF: Use code FASTHOURS15 at checkout- 15% off the first purchase of a Figma Weave Starter, Pro, or Team subscription- One-time use per person- Applies to the first month (for monthly plans) OR first year (for annual plans)OUR FREE FIGMA WEAVE WORKFLOWS:
Drew's Apparel Photoshoot: https://app.weavy.ai/flow/JV8vBtbkOl3vNeiJjAYwxN
Drew's Product Social Images: https://app.weavy.ai/flow/la8iMD20eGX4eGF91qunVu
Rory's Listicle: https://app.weavy.ai/flow/SpLj0jsU8hThMmHWtfmT37
Rory's SD2.5 Prompting: https://app.weavy.ai/flow/MdYt6UJi6ch0MkgxTaCe6r
Rory's GenEffects Collage: https://app.weavy.ai/flow/sX4dJgsrp9DIrOz5f9ojX1
Rory's Batch Generator: https://app.weavy.ai/flow/f9OljOQLkPbJ9Q04iN8Uou
Rory's El Camino Concept: https://app.weavy.ai/flow/BPfVXywHhoymEi3CFxOO3Q

Rourke Sefton-Minns scaled his AI creator business from zero to eight figures in one year by turning audience, education, and creative AI into a business system.Drew and Rory invited Rourke Sefton-Minns on to discuss AI and somehow ended up reverse-engineering a business built on sleep streaming, 420 straight days of posting, multiple failed creator experiments, hitting zero in the bank, and an apparently unhealthy refusal to quit. Rourke breaks down how Gen HQ grew, why brand partnerships now drive hundreds of thousands in monthly revenue, why learning AI tools is often the least important part of getting paid, and why the best move for aspiring AI creatives may be finding the client before figuring out every last detail.Rourke Sefton-Minns explains Gen HQ, AI creator businesses, brand partnerships, LinkedIn client acquisition, spec work, creative partner programs, Meta advertising, Adobe Photoshop Generative Fill, CapCut, Google Gemini, node-based workflows, narrative-loop content, creator burnout, AI careers, and generative AI-powered fandom. He also shares a practical three-month playbook for landing paid AI creative work and his mission to create 100,000 jobs for creatives through AI.---⏱️ Fast Hour00:00 Rourke Sefton-Minns, Gen HQ and 100K jobs02:55 Five social pages before the one that worked05:03 The sleep-streaming business that changed everything09:03 Making $10K a month at 21, then burning out13:04 Betting everything on a six-month ski channel17:11 The persistence lesson behind hitting zero20:50 420 days of posting before the AI pivot28:40 Why Gen Z sees generative AI as the enemy33:01 Why great AI content starts with communication35:10 Inside his vibe-coded content idea system39:19 How long a viral AI video takes to make43:20 Why AI creators burn out46:14 Outsourcing creativity made burnout worse47:27 Why changing formats brought the fun back50:25 How narrative-loop videos create retention52:44 How his 8-figure AI business makes money56:10 Why $40K a month in Meta ads is not enough57:12 The business skills AI creatives overlook01:00:51 The 100,000-jobs North Star01:03:29 How to land your first paying AI client01:07:51 What major AI brands actually want01:12:30 Why boring products can win spec-work clients01:14:09 The four-post strategy for winning brands01:17:47 AI fan content as a new growth engine