Investors often ask Carlos Almeida the same question: if your AI is built on someone else’s model, what’s your moat?For him, the answer starts with building what the model can’t: controls that keep AI aligned with a company’s goals, interfaces that let humans guide its decisions, and ways to manage and expand its usable data.In this conversation, Daniel and Carlos explore the risks of relying on a model’s default behavior, the challenge of separating fact from fabrication, and why adding trust and control might be just as valuable as improving accuracy.They dig into the less visible work required to turn a general AI into something a business can rely on.🎧 Want the bigger picture?This clip is just a glimpse of Carlos’s perspective. In the full episode, he shares how copilots can outperform chatbots, the traps companies face when building their own support AI, and why automation might expand demand for customer support instead of replacing it.Listen to the full episode: https://rss.com/podcasts/manaryhaus/2082407/🔗 Resources & Links🤝 Connect with Carlos: https://www.linkedin.com/in/carlos-alm/🤖 Learn more about Optave: https://optave.com/📩 Subscribe to the Artificial Insights newsletter for summaries and takeaways: https://manary.haus/podcast/#haus👉 Have a guest in mind? Reach out to Daniel at [email protected] 🚀 Learn something new? Leave a review and share it with someone building trust into AI systems!

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