What if your repair shop could answer 15 calls simultaneously, book appointments at 8 PM, and never put a customer on hold again—all without hiring additional staff? In this episode, we dive into how voice AI receptionists are transforming local service businesses, from auto shops to salons, by handling the routine calls that eat up your team's time while actually creating more work for your mechanics and technicians.

We'll explore real implementations: AI that knows your tire pressure specs on command, shop assistants that analyze part damage from a photo, and systems that give owners a full status update on their business with a single phone call. Whether you're drowning in missed calls or just curious about what's actually possible today, this one's packed with practical ideas you can steal.

"AI isn't stealing jobs, it's exposing which ones shouldn't have existed in the first place."

In this episode, Armando challenges the AI panic narrative by drawing parallels from 2 million years of technological evolution. From cavemen to computers, every innovation killed jobs and created more. The real question isn't whether AI will replace workers, it's whether we're finally ready to stop doing work that machines can handle better. He makes the case for small businesses, argues that automation creates opportunity (not scarcity), and explains why your doctor's receptionist should be solving complex patient problems instead of booking appointments on a 25-minute hold. If you think AI is the enemy, this episode will flip your perspective on what work should actually mean in 2025.

Bottom line: Technology doesn't eliminate human value, it just forces us to provide it where it actually matters.

I spent the last 12 hours stress-testing Google's Gemini 3 Pro and their new Antigravity IDE on actual projects.

Everyone's hyping the benchmarks, but does it hold up when you need to ship real work.

In this video, I break down the good (automatic Chrome integration, seamless VS Code migration, powerful agent manager), the bad (reliability issues, context window degradation), and whether it's worth jumping ship from Claude Code.

Plus, my take on why Google's positioning in the AI coding space might matter more than the model itself.

Bottom line: Great tech, growing pains, but not ready to replace your daily driver yet. Here's why—and what to watch for as the space evolves.