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.

In this episode, Armando sits down with automation expert Stephen Pope to cut through the hype and get to what actually matters in the AI automation space.

Stephen shares hard-earned lessons from 17+ years in technology, including building and selling a multi-million dollar agency. The conversation covers the real economics of automation work—how to identify problems worth solving, why the simplest solutions often deliver the most value, and how to avoid building complex systems that clients never use.

Key topics include:

• Finding your first automation clients without the typical sales grind
• Why edge cases reveal whether your automation is actually well-designed
• The relationship between content creation and inbound leads (and why it's harder than it looks)
• How to use analytics without getting lost in spreadsheets
• The importance of momentum and knowing which battles to fight as you grow

Stephen gets refreshingly honest about common pitfalls—from clients who want to use you as a puppet to build their ideas, to the trap of perfectionism when your automation already works. He also shares thoughts on how LLMs are changing the content game and why your story matters more than ever.

This isn't about flashy 100-node workflows. It's about building things that actually solve problems and generate returns—the boring, profitable work that keeps businesses running.

In this technical deep-dive, Armando breaks down Retrieval Augmented Generation (RAG) and why businesses can't rely on basic LLM implementations alone. The episode moves from fundamental concepts to advanced optimization strategies, covering everything from context windows to sophisticated reranking techniques.