Stop Using AI to Make Horses Faster: Design for the Future Now | Lazy Leverage #55

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Apr 10, 2025

Discover how AI can enhance productivity instead of replacing teams! Jon and Peter stress the importance of customized solutions over outdated methods. They discuss the challenges of AI adoption and the need for centralized data in organizations. Exciting tools like Supabase and Loveable are explored for better data integration. The duo dives into innovative AI applications, including GPT-4 for marketing real estate and effective problem-solving. Join them as they navigate the future of technology in property management!

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ADVICE

Cars, Not Faster Horses

Design businesses like "cars, not faster horses," integrating AI from the start.
Build custom front-ends for each client, like personalized portals, instead of using generic solutions.

INSIGHT

AI Adoption Challenges

Teams struggle to adopt new AI tools, not due to resistance but lack of time.
Point solutions, embedded into existing workflows (e.g., Slack), encourage faster adoption than complex tools.

ADVICE

Point Solutions for AI

Create point solutions for AI usage.
Develop specific prompts, inputs, and outputs for tasks and integrate into workflows for seamless team adoption.

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AI isn’t here to replace your team—it’s here to give them time back. Join Jon and Peter as they explore how the right interfaces and integrations can supercharge productivity across your org!

Jon kicks things off by sharing his vision: every new client should get a completely customized front end tailored to their needs—think “cars, not faster horses.”

He and Peter riff on the challenge of AI adoption at the ground level—how time-starved teams struggle to learn new tools—and the importance of delivering point solutions that are simple, embedded, and immediately useful. There’s an appreciation for systems thinking here–that true leverage comes from building thoughtful infrastructure.

Peter raises a great point about the power of centralized data. He’s excited about tools like Loveable, but acknowledges their real magic happens when all business data lives in one well-organized database. They reflect on past limitations—splitting data between platforms—and how new tools like Supabase and Airtable now make consolidation more accessible, especially with AI riding shotgun.

Finally, Jon and Peter dive deep into emerging AI tools like Lindy and Perplexity, ways to integrate Notion with natural language, and even the wild potential of GPT-4’s AI-generated images for marketing real estate!

Key Topics:
(01:40) Cars, Not Just Faster Horses
(08:12) Possible Paths to AI Adoption by Teams
(12:54) AI for Enterprise-Level Databases
(20:43) Property Management Applications
(24:31) Using AI to Answer AI-Related Questions
(31:46) Finding an AI Model That Helps You Aggregate Industry-Specific News
(34:42) How Property Managers Can Take Advantage of GPT-4’s New Image Gen Capabilities
(39:20) “The Future Is Here. It’s Just Not Evenly Distributed."

Stay connected for more insights and strategies by following:

Jon: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@MatznerJon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on X and at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠lazyleverage.beehiiv.com⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Peter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pslohmann⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on X and at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠peterlohmann.com