We Live to Build

Stop Wasting Money on Big AI Models (Do This Instead)


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Are your AI inference costs starting to eat into your startup's budget? In this episode, I sit down with Rob May to discuss the impending shift in the AI industry: moving from massive, expensive frontier models to optimized, task-specific workflows. Rob explains why using a massive model for a simple task is like paying an astrophysicist to balance your checkbook, and how routing requests to smaller models can significantly cut down on your token spend. We also dive into the realities of startup hiring, including why executives must network for talent months in advance and how "experienced" corporate hires can completely derail your early-stage systems. Finally, Rob shares his ultimate advice for founders: why cozying up to massive markets is the best way to de-risk your business. Check out the company: https://neuromatic.com


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📚 NETWORK BEFORE YOU NEED IT (6 LESSONS THAT MADE SEAN $15M)

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Get my brand new eBook free - https://welivetobuild.com/network


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📈 WORK WITH ME

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â–¶ Buy 300 Lessons From 300 Founders: https://welivetobuild.com/300-lessons-ebook

â–¶ Book a Paid Advisory Session: https://welivetobuild.com/book-a-call

â–¶ Startup Fundraising: https://welivetobuild.com/fundraising

â–¶ Sponsor the Channel: https://www.welivetobuild.com/sponsorship


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👀 CONNECT WITH SEAN

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â–¶ LinkedIn: https://linkedin.com/in/seanweisbrot

â–¶ Inquiries: [email protected]


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🕒 CHAPTERS

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00:00 - Why Founders Must Network Before Hiring

03:45 - The $30,000 Corporate Hiring Mistake

06:20 - Selling to IT Professionals vs. Sales Teams

08:15 - The Alex Hormozi Free Content Strategy

10:50 - How to Reduce High AI Inference Costs

13:30 - Tasks vs. Models: The Future of AI

16:45 - Moving AI Workflows to Microservices

21:10 - The "Big Market" Secret to Entrepreneurship

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We Live to BuildBy Sean Weisbrot

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