What happens to 8.5 million Americans with intellectual and developmental disabilities when they age out of the school system? Mark Olson from LTO Ventures joins me to explain the "cliff" families face at age 22, why Texas has a 20-year waitlist for critical services, and how intentional communities are changing the game. If you've never heard of IDD housing or day programs, this conversation will open your eyes.

Find Mark at: https://www.ltoventures.org/

What if you could predict a catastrophic failure three months before it happened?In this episode of The Web Talk Show, we explore how AI is transforming truck maintenance from reactive repairs to predictive prevention.A phantom vibration. A subtle engine hesitation. Your driver feels something is off, but the diagnostics come back clean. Three weeks later, you're staring at a $12,000 roadside tow bill, emergency repairs, and missed delivery penalties that could have been a simple $400 part replacement.This is the reality for truck maintenance shops every day. But it doesn't have to be.In this episode, you'll discover:

• How AI can detect an 87% probability of turbo actuator failure within 800 miles by analyzing vibration patterns and cross-referencing historical data
• The "Parts Sidekick" approach that tells you to order 40% more batteries before Chicago's January freeze, while your competitors scramble for inventory
• Why a 3 AM breakdown call in El Paso doesn't have to wait for morning, as voice AI walks drivers through diagnostics and dispatches mobile service automatically
• How junior techs can access decades of senior tech knowledge hands-free while elbow-deep in an engine bay
• The translation layer that converts "it makes a weird noise going uphill and smells funny" into actionable diagnostic steps with estimated repair times

The stakes in trucking are higher than passenger vehicles. We're talking about hauls worth hundreds of thousands of dollars, driver safety on shared highways, and the difference between a quick fix and a business-crippling breakdown.The tools that once required Walmart-sized budgets are now accessible to independent shops and regional fleets.Ready to see where AI fits in your operation? Watch the full episode.

Small business owners hear "use AI" constantly, but where do you actually start? This episode answers that with one of the simplest entry points: chatting with your documents.

I walk through how uploading your FAQs, contracts, SOPs, and product docs to tools like ChatGPT or Claude lets you (and your team) get instant answers grounded in YOUR business information, not generic AI responses.

I cover the easy approach anyone can try today, the technical reality behind vector stores and RAG, the edge cases where it breaks down (like searching for part numbers), and how to identify the right first project for your business.

Whether you're onboarding new staff, building a customer chatbot, or just trying to understand a confusing contract, this is your practical starting point.

An AI can't answer my calls—it wouldn't know what to say." Sound familiar? In this episode, I break down exactly what an AI receptionist can actually do: handle multiple simultaneous calls, book appointments, answer FAQs, pull customer data from your CRM, and even speak multiple languages—all while sounding remarkably human. I demo three live agents (including transfers between them) so you can hear it yourself. If your front office is drowning in calls and losing customers to voicemail, this one's for you.

Armando breaks down three practical AI automations for auto repair shops: proactive customer outreach that actually gets responses, real-time diagnostic tools that keep techs in flow, and operational intelligence that surfaces problems before they cost you.

No Iron Man Jarvis required, just smart workflows connecting the systems you already have.

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.