GPT-6 Astra: How I’d Make Money With It
I talk with Ras Mic about GPT-6 Astra. We skip the game demos and the 3D toys, and we focus on use cases to earn money or improve products. I share 9 Astra prompts that I posted publicly, and Greg Brockman reposted. Ras then shows his hardware project: he moved from a speaker idea to a parts list, a Blender layout, and merged code in about 30 minutes. The takeaway is simple: use this model for the ideas that felt too large for you last year. Timestamps 00:00 – Intro 01:53 – Astra Overview 04:14 – 9 Astra Prompts 11:48 – Jarvis Speaker Idea 16:21 – Think Bigger with Astra 18:29 – Vibe Coding to Vibe Manufacturing 21:16 – Closing Thoughts Key Points • Astra costs more per task, and it uses fewer steps, so the value per dollar stays high. • A performance audit moved one of Ras’s apps from 800 ms to 20–30 ms. • A security audit on his live payments app found real risks in production. • Ras went from a speaker idea to a $561 parts order and a merged pull request in about 30 minutes. • Ras’s point: intelligence keeps climbing, and bravery stays flat. Ask for bigger things. • The shift that vibe coding brought to software now reaches physical products. Numbered Section Summaries 1. Why This Review Skips the Demos Ras opens with the reason for this format. The viral Astra clips show games and 3D scenes, and those stay fun to watch. We spend the episode on work that pays: better code, better products, and new businesses. 2. Price, Speed, and Two Audits Astra sits at OpenAI's top price and matches Fable. A Codex subscription covers most of that cost today, and the model finishes tasks in fewer steps. Ras recommends two prompts for any live app: a full performance review, and a security audit. 3. Reference Images and Computer Use Ras gets his best UI results when he gives Astra a reference image, and he used the old Microsoft XP network icon for one design. He also rates the computer-use ability highly. He pointed Codex at the Canada Revenue Agency site, and it found pages that Google search missed. 4. Nine Prompts I Posted I share the prompt list from my post that Greg Brockman reposted. The first three serve solo operators: a bill renegotiator that talks to provider chat support, a service-business teardown that turns an agency workflow into a $500–$5,000 per month software product, and a marketplace watcher that texts me every underpriced listing in my city. 5. Agents for Operations and Growth The next six prompts run a company. A weekly operator dashboard reads my docs, Stripe exports, and calls, then names the three highest-leverage actions. An agent-opportunity audit ranks tasks by human hours saved within 30 days. A browser operator returns an SOP, a nightly QA agent opens my app on a real phone, a competitor agent reports monthly, and a browser game captures leads for the core product. 6. Ras’s AI Speaker Project Was likes the HomePod hardware and wants his own agent inside it. Jailbreaking stayed closed to him, so he asked Astra to design a build. Astra connected to Blender, modeled the speaker, specified a Raspberry Pi build, and set a $350–$450 budget before tax. 7. From Blender Layout to a Merged PR Astra returned Amazon.ca links totaling $561 before tax, and Ras bought the parts. It then rendered the wiring layout in Blender, named Chinese suppliers for the shell, wrote the loader code for his agent repo, and opened a pull request. Ras merged it, and the whole path took about half an hour. 8. Vibe Manufacturing and Subsidized Intelligence I compare this moment to 2024, when Lovable, Bolt, Replit, and v0 turned everyone into a vibe coder. I expect thousands of one-million-dollar-per-year businesses from the physical version of that shift. Ras closes with the economics: his agent counted more than $24,000 of model use in one week against a pair of $200 subscriptions. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND MIC ON SOCIAL X/Twitter: https://x.com/Rasmic Youtube: https://www.youtube.com/@rasmic
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節目時間軸
Introduction to GPT-6 Astra and the episode's focus on practical money-making and productivity use cases rather than flashy demos.
- Greg Isenberg frames the episode around concrete startup ideas, productivity gains, and money-making applications of GPT-6 Astra, explicitly avoiding 3D demo gimmicks.
- Ross Mike is introduced as a guest who excels at clearly explaining how to build businesses and better products with the model.
- The hosts promise listeners will leave with actionable ideas they can build today, not just entertainment.
Key facts about the Astra model: pricing, efficiency, and two high-value prompts for existing apps.
- Astra is OpenAI's most expensive model, priced on par with Fable, but is heavily subsidized for Codex subscribers and requires fewer steps to complete tasks.
- Ross recommends running a performance update prompt on existing apps, citing his own app speeding up from 800 milliseconds to 20-30 milliseconds.
- A security audit is a capability unavailable with Fable; Astra caught serious vulnerabilities in Ross's payments startup that would have left him 'cooked' otherwise.
- Astra excels at UI design when given a reference image, such as the old Microsoft XP network icon, and is 'insane' at computer use for background tasks on a local machine.
Greg's nine Astra prompts, starting with the bill renegotiator and turning agencies into software.
- The 'bill renegotiator' prompt has Astra enter each provider's chat support to negotiate down or cancel internet, phone, and software bills.
- The 'agencies into software' prompt asks Astra to reverse engineer a service business's workflow and design an AI product that could replace it for $500 to $5,000 a month.
- Ross adds that he prototypes everything for 15 minutes before committing, because intelligence has risen but people's bravery to try new things has not.
- Both hosts agree the saddest use of a model like Astra is generating landing pages, which GPT-4 could already do.
關鍵概念
- GPT-6 Astra— The central AI model discussed throughout the episode as a transformative tool for building businesses and hardware.
- hardware startup— The main business opportunity highlighted, where AI enables non-engineers to prototype physical products.
- vibe manufacturing— The emerging shift where AI lowers barriers to creating physical products, analogous to vibe coding.
精選金句
I did that for one of my apps and speeds went from 800 milliseconds to literally 20 to 30 milliseconds, right? that's an insane increase in speed
🤯— A concrete, surprising performance improvement that shows Astra's ability to drastically optimize code, far beyond typical expectations.
I ran the security audit and astra was basically like my boy you would have been cooked if I didn't read all this
🎯— Reveals that Astra can catch critical security flaws that could have doomed a startup, highlighting its practical value beyond code generation.
可執行的洞察
💼Business Opportunities
AI enables the creation of niche hardware products and software replacements for agencies, opening new revenue streams.
This week, pick one service business you know and outline how to replace its first workflow with an AI product, then prototype it using Astra.
Vibe manufacturing allows individuals to build physical products without traditional engineering skills.
Identify a simple hardware idea you've had, ask Astra to generate a bill of materials and a Blender model, and order the parts if under $500.
⚡Productivity & Development
Astra can perform performance and security audits that dramatically improve app speed and safety.
Run a performance audit on your main app this week using Astra, and implement the top three suggestions.
Computer use allows Astra to automate repetitive browser tasks and QA testing.
Create a nightly QA routine where Astra tests your app's signup and checkout flows, then reports bugs and confusing UX.
轉錄文字與 AI 洞察均由模型自動生成,可能存在少量誤差。辨識效果與音訊品質、語速及發音清晰度相關——若有內容看起來有誤,以原始音訊為準。
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