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I Have Some Questions...
Most people know the headline of a leader’s story. Few know the path it took to get there. This podcast goes beyond titles, book launches and business wins, to explore the lived journey behind the thought leader.
Through deep, unhurried conversations, we uncover the moments that shaped them—the doubts, pivots, convictions, and quiet breakthroughs that built their body of work.
Each episode features authors, coaches, executives, and bold thinkers who have forged their own path. Instead of rehearsed talking points, they’re invited into a space where thoughtful questions unlock something more human. The result is a layered conversation that reveals not just what they preach, but how they became the kind of person who can teach it.
Because we believe the best stories aren’t always told—they’re revealed. And when brilliant people are given the right questions and the room to answer them fully, what emerges is insight you can feel, frameworks you can apply, and a deeper understanding of what it truly takes to lead, create, and contribute at a meaningful level.
I Have Some Questions...
177: "Is Typing Becoming Old-Fashioned in the AI Age?" ft. Justin Coats
Use Left/Right to seek, Home/End to jump to start or end. Hold shift to jump forward or backward.
Erik and Justin take a practical tour through AI “tools that actually ship.” They start with Lovable to build a real landing page fast, then move to NotebookLM for source-grounded research and repackaging, and finish with Spinach AI for meeting intelligence that turns conversations into executable next steps.
🧭 Conversation Highlights
- Erik’s Lovable experience: a subsite built in minutes by feeding a prompt and letting the tool pull branding, structure the story, and generate interactive components like email capture and a database
- Voice vs typing in AI tools: speaking helps you move at the speed of thought, surfaces gaps in what you can articulate, and makes iteration easier
- Lovable’s workflow options: Build mode for speed versus Plan mode for a more production-ready blueprint you can edit before publishing
- A “human first” approach to using tools: have the conversation with the interested person, then use AI to turn that learning into assets like websites, decks, and meeting summaries
💡 Key Takeaways
- If you want results quickly, talk to the tool (dictate) instead of trying to perfectly write your thoughts first. It reduces breaks in your chain of thought and speeds iteration.
- Use conversation as your forcing function. Real questions from a real person help you figure out what you actually need before you ask AI to build it.
- When accuracy matters, ground AI output in your sources. NotebookLM’s citation behavior helps you verify without doing a ton of manual reading.
- Meeting intelligence tools can eliminate the “regurgitate the notes” overhead. The value is turning transcripts into tasks your team can execute.
❓ Questions That Mattered
- How do you get past the awkwardness of speaking to AI so you can describe what you want faster?
- When should you choose Lovable’s Build mode versus Plan mode for production readiness?
- What kinds of research or content work should be source-grounded to avoid hallucinations?
- How can meeting transcripts be turned into actionable tasks without relying on scattered human memory?
🗣️ Notable Quotes
- “Get comfortable talking to your computer.”
- “Start with a conversation with somebody who’s interested in what you’re doing, and then go to the AI tool.”
- “Stop limiting yourself. Jump in, play around, have fun. You’re not gonna break it.”
🔗 Links & Resources