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Optimizing with AI: A Thought Partner, Not a Search Engine
Most people use AI like a smarter Google. Josh breaks down the mindset shift — and the 10 daily habits — that actually multiply what you can do.
Josh digs into the key principles from Geoff Woods' book AI Driven Leader and then gets personal — pulling from ChatGPT, Gemini, and Claude themselves to reveal the top 10 ways he actually uses AI every single day. From the reverse interview technique that transforms vague prompts into genuinely useful outputs, to using AI as a skeptical board member that challenges your blind spots, to leveraging it for health data analysis, travel planning, vibe coding, and high-stakes communication — this episode is a practical field guide, not a theory lecture.
The bigger takeaway is this: the people who will be hardest to replace aren't the ones avoiding AI — they're the ones who've learned to wield it as a multiplier. Josh breaks down why using AI daily, even for small things, builds the muscle faster than obsessing over the perfect prompt, and how to push through the frustrating "reality check" phase that causes most people to quit before it starts working.
Key Takeaways:
- The most powerful AI shift isn't the tool — it's the question. Moving from "how do I do this?" to "how can AI help me do this?" opens up an entirely different level of output.
- The reverse interview technique — give AI your context, then ask it to interview you one question at a time — is one of the most underused and most effective prompting strategies available.
- Use AI to challenge your blind spots, not just confirm your ideas. Prompting it to act as a skeptical board member, or even a specific thinker whose perspective you respect, surfaces assumptions you'd never catch on your own.
- Don't just use AI for tasks — ask whether each task can be systematized. The goal is turning a repeatable 5-minute job into a 30-minute setup that runs itself from then on.
- The AI adoption journey has three stages: light bulb, reality check, and building momentum. Most people quit at stage two. The only way out is through.
Resources:
- AI Driven Leader by Geoff Woods
*Note: if you purchase from a link, it may earn us a small commission at no cost to you.
View all episodes
By Josh NegronMost people use AI like a smarter Google. Josh breaks down the mindset shift — and the 10 daily habits — that actually multiply what you can do.
Josh digs into the key principles from Geoff Woods' book AI Driven Leader and then gets personal — pulling from ChatGPT, Gemini, and Claude themselves to reveal the top 10 ways he actually uses AI every single day. From the reverse interview technique that transforms vague prompts into genuinely useful outputs, to using AI as a skeptical board member that challenges your blind spots, to leveraging it for health data analysis, travel planning, vibe coding, and high-stakes communication — this episode is a practical field guide, not a theory lecture.
The bigger takeaway is this: the people who will be hardest to replace aren't the ones avoiding AI — they're the ones who've learned to wield it as a multiplier. Josh breaks down why using AI daily, even for small things, builds the muscle faster than obsessing over the perfect prompt, and how to push through the frustrating "reality check" phase that causes most people to quit before it starts working.
Key Takeaways:
- The most powerful AI shift isn't the tool — it's the question. Moving from "how do I do this?" to "how can AI help me do this?" opens up an entirely different level of output.
- The reverse interview technique — give AI your context, then ask it to interview you one question at a time — is one of the most underused and most effective prompting strategies available.
- Use AI to challenge your blind spots, not just confirm your ideas. Prompting it to act as a skeptical board member, or even a specific thinker whose perspective you respect, surfaces assumptions you'd never catch on your own.
- Don't just use AI for tasks — ask whether each task can be systematized. The goal is turning a repeatable 5-minute job into a 30-minute setup that runs itself from then on.
- The AI adoption journey has three stages: light bulb, reality check, and building momentum. Most people quit at stage two. The only way out is through.
Resources:
- AI Driven Leader by Geoff Woods
*Note: if you purchase from a link, it may earn us a small commission at no cost to you.