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Building AI Products That Actually Work with Josh Porter
24th August 2026 • AIBiZ • Avik Chakraborty
00:00:00 00:16:57

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There's a moment when you open an app and it just gets you, not in a creepy way, but in a way that shows someone actually thought about what you needed. That's not magic, it's thoughtful design meeting the right technology at the right moment.

Fractional CMO Josh Porter joins Swati to unpack why efficiency and effectiveness are not the same thing when it comes to AI, why augmentation beats replacement for small teams, and how to know if an AI tool is actually solving a real problem instead of just becoming another forgotten subscription.

About the Guest:

Josh Porter is a fractional CMO who helps AI scale-ups making between five and twenty million dollars in revenue turn their technology into stories that win customers. He is the author of The Last Human Marketer and runs Thunderwolf Consulting.

Key Takeaways:

  • AI is often efficient, but efficiency and effectiveness are not the same thing. The human connection to a customer is what makes a message actually land.
  • Products that use AI well are built on personalization and context, not just automation.
  • For small teams, think augmentation, not replacement. AI should speed up what you already do, not replace human judgment.
  • Start small with ubiquitous tools first, then add specialized tools only where there's an actual gap.
  • Judge an AI tool by whether it solves your specific pain point and improves real outcomes, not by adoption numbers.

Connect With Josh Porter:

Episode Chapters:

[00:00] Thoughtful Design Meets AI: what makes a product feel like it gets you

[05:00] (approx.) Efficient vs. Effective: the missing piece leaders overlook with AI

[11:30] (approx.) Personalization and Context: what the best AI products get right from the start

[18:00] (approx.) Augmentation, Not Replacement: where AI helps small teams most

[24:00] (approx.) Starting Small: how to experiment with AI without getting overwhelmed

[30:00] (approx.) Solving a Real Pain Point: how to know if an AI tool is actually working

[36:30] (approx.) Staying Flexible: adapting when a tool stops working the way it used to

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