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AI is everywhere. However, value is not.
In this episode of the Rebellious Times Podcast – Austin Startup Series (ATX3), Chris Januszewski sits down with Eric Gonzalez, CEO of OptiMindAI, to unpack why so many businesses feel pressure to use AI but struggle to see real results.
Eric’s perspective is refreshingly practical. Instead of treating AI as magic, he encourages business leaders to treat it like a new employee — one that needs training, structure, and clear expectations.
Why AI adoption fails without structure
How structured prompting changes outcomes
Large language models as operational teammates
Automating back-office work without losing identity
Lessons from Eric’s time at Meta
Why Austin is a strong launchpad for practical AI startups
Perfect for:
Eric’s AI journey began inside large-scale infrastructure at Meta. There, he learned how AI systems behave in real-world environments. Later, after moving to Austin, he noticed a gap.
Most companies did not need cutting-edge research. They needed clarity.
As a result, OptiMindAI was built to help businesses use AI as an extension of how they already work — not a replacement for their identity.
One of the biggest takeaways from this episode is simple. AI is only as good as the instructions it receives.
Eric explains why structured prompting is essential. Instead of vague requests, businesses must define context, goals, and constraints. When that happens, AI becomes reliable and repeatable.
This approach allows teams to automate repetitive work while keeping human judgment where it matters most.
This conversation is not about hype. It is about making AI useful.
If you want AI to improve your day-to-day operations — not add confusion — this episode will give you a practical starting point.
OptiMindAI links:
By Chris JanuszewskiAI is everywhere. However, value is not.
In this episode of the Rebellious Times Podcast – Austin Startup Series (ATX3), Chris Januszewski sits down with Eric Gonzalez, CEO of OptiMindAI, to unpack why so many businesses feel pressure to use AI but struggle to see real results.
Eric’s perspective is refreshingly practical. Instead of treating AI as magic, he encourages business leaders to treat it like a new employee — one that needs training, structure, and clear expectations.
Why AI adoption fails without structure
How structured prompting changes outcomes
Large language models as operational teammates
Automating back-office work without losing identity
Lessons from Eric’s time at Meta
Why Austin is a strong launchpad for practical AI startups
Perfect for:
Eric’s AI journey began inside large-scale infrastructure at Meta. There, he learned how AI systems behave in real-world environments. Later, after moving to Austin, he noticed a gap.
Most companies did not need cutting-edge research. They needed clarity.
As a result, OptiMindAI was built to help businesses use AI as an extension of how they already work — not a replacement for their identity.
One of the biggest takeaways from this episode is simple. AI is only as good as the instructions it receives.
Eric explains why structured prompting is essential. Instead of vague requests, businesses must define context, goals, and constraints. When that happens, AI becomes reliable and repeatable.
This approach allows teams to automate repetitive work while keeping human judgment where it matters most.
This conversation is not about hype. It is about making AI useful.
If you want AI to improve your day-to-day operations — not add confusion — this episode will give you a practical starting point.
OptiMindAI links: