Podbit · The a16z Show
Physical dexterity is still irreplaceable. So for Kavak's 800 mechanics, the company built 'El Mike' — an AI sidekick inspired by Ratatouille's Remy, guiding mechanics through inspections and repairs. Result: faster inspections, higher quality cars, and a 26% drop in warranty claims.
Where this was said
At 17:20 · chapter starts 15:55
Alejandro turns to one of the most audacious experiments in the episode. The team asked a simple but alarming question: could an AI do the CEO's job? Rather than debate it theoretically, they ran the experiment. Cuernavaca — a mid-sized Mexican city — was chosen as the test site. An AI agent was given the CEO role, access to all company systems, and a mandate to double monthly profits. It fell short of that goal but still delivered 50% profit growth in its first month [1] — Alejandro Maza Ayala "AI CEO raised profits 50% in 1 month: An AI agent deployed as 'CEO' of Kavak's Cuernavaca city operation increased profits by 50% within it…" 16:24 — by making Fields Medal-level analytical moves across inventory rotation, financing penetration, and customer satisfaction simultaneously. It sent daily task plans to every physical worker via message and collected voice-note updates on progress. For roles where physical dexterity remains irreplaceable — the company's approximately 800 mechanics — Kavak took a different approach. It built 'El Mike', an AI sidekick inspired by Ratatouille's Remy that guides mechanics through inspections step by step. Since launch, inspection quality rose, repair speed increased, costs fell, and warranty claims dropped by roughly 26% [2] — Alejandro Maza Ayala "Warranties down ~26% post-AI rollout: Since deploying AI sidekick agents to Kavak's mechanics, warranty claims fell by approximately 26%, r…" 17:58 .
Kavak carved out a city in Mexico, gave an AI agent the CEO role, and watched it raise profits by 50% in its first month. The agent sent daily task plans to every physical worker, monitored KPIs in real time, and micromanaged inventory, financing, and customer satisfaction simultaneously.
An AI agent deployed as 'CEO' of Kavak's Cuernavaca city operation increased profits by 50% within its first month.
Since deploying AI sidekick agents to Kavak's mechanics, warranty claims fell by approximately 26%, reflecting higher-quality car inspections.
Kavak launched the Jedi Academy, an internal program where every employee — from CEO to mechanics — completes a 6-week training and ships a production-ready AI agent. The message to staff was blunt: train and adapt, or this may not be the right place for you.
The fastest path to Twitter growth isn't volume — it's forming sharp opinions about how the platform works and sharing them immediately. People cluster around those who understand the rules and say so out loud.
Sam had no coding knowledge, so he used ChatGPT voice mode to generate his entire codebase and copy-pasted it into Notepad. A friend later introduced him to Cursor, and he never looked back.
Copy days of Discord chat history, paste it into ChatGPT, and ask it to list recurring pain points. The ones that come up most often are your best product bets.
Sam's top advice: when prompting Cursor, tell it to architect code for 100,000 users from day one. The AI changes its approach, building scalable frameworks instead of brittle one-user code.
With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
PropGPT runs on React Native with TypeScript and Python for ML, Neon for the database, RevenueCat and Superwall for monetization. LLM costs are $20/month, data APIs $100/month, and after $10K in monthly marketing spend, margins sit at roughly 50%.
Automated food production cheaper than grocery shopping. Mining companies that own nothing but real estate. Kalanick believes these are near-certainties, not moonshots, and they dwarf anything digital AI has done to enterprise software.
Meraki couldn't beat Cisco on reputation in 2009. So they stopped trying to pitch and started shipping. Attend a webinar, get a free access point. Once mid-market IT teams experienced cloud-managed networking, no argument was needed — the product sold itself.
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