Founder Mode
Founder Mode

Fake AI vs Real AI

02 July 2026 29:55 Kevin Henrikson and Jason Shafton

Listen to episode

About this episode

EPISODE 63

Kevin and Jason go solo for a no-guest, no-filter breakdown of everything that happened to them in the past week. Kevin recaps the call center conference where one simple question, "What's your stack?", exposed an industry of companies bolting AI onto decades-old businesses, including one whose "AI" turned out to be an outsourced team manually shipping WAV files back and forth. From there they get to the real thesis: the money in AI isn't in building the brain (the foundation models) but in building the nervous system that wires that intelligence into unglamorous, real-world businesses. They dig into why taste and error correction are the durable moat, two practical on-ramps for any company trying to go AI-native, pointing agents directly at business KPIs, and Jason's full stack for turning client calls into interactive proposals. They close on the strange new category of "renting humans," why the marginal cost of everything is heading toward zero, and why the human premium, like live shows, real conversations, and white-glove service, only goes up from here.


CHAPTERS

00:54 – "What's your stack?" The conference that exposed fake AI

04:16 – Build the nervous system, not the brain

07:24 – Why taste and error correction are the real moat

10:08 – How to go AI-native (or credibly bolt it on)

15:38 – Pointing AI agents at your KPIs

17:03 – Jason's full AI proposal stack

21:43 – Renting humans and the new AI category

23:55 – Abundance, robots, and the rising human premium

28:39 – The Founder Mode Top Five


LINKS

Stay Connected with Founder Mode

Subscribe to our newsletter



Connect with Kevin

LinkedInX/Twitter


Connect with Jason

LinkedInX/Twitter

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Founder Mode. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.