Guest: Matthew White, CEO of PlatypusOS — a platform designed to transform AI from a tool into a fully autonomous staff layer for small businesses. Integrates 2,500+ SaaS applications, supports voice commands, automates workflows through MCP servers, and executes tasks across CRM, finance, marketing, and operations without Zapier-style configuration.

Host: Jason Wade, Founder of NinjaAI and AI Main Streets

This episode explores how AI is shifting from passive tools into fully active digital staff. Matthew White walks through PlatypusOS — a browser-native AI assistant platform that integrates with thousands of SaaS tools and performs complex, multi-step workflows using plain voice input. From building automated marketing and sales agents to powering legal document generation for ParaVibes, this conversation dives into real use-cases for Main Street businesses.

Topics include the future of AI agents, multi-model document workflows, automated content generation, voice-driven business operations, and how SMBs can replace repetitive work with autonomous assistants that cost less than one lunch per month.

Matthew explains how PlatypusOS turns AI into functional “staff,” capable of:

• Reading API documentation automatically

• Executing multi-step commands like updating CRM records and sending invoices

• Running workflows via text or voice

• Handling marketing, operations, finance, and sales tasks across 2,500 apps

The platform supports:

• Direct voice prompting

• Automatic API endpoint discovery

• Running assistants through a desktop or web app

• A mobile app coming soon

Jason compares this to his own tools like Whisper and how voice-first prompting multiplies productivity.

Matthew adds that PlatypusOS may eventually route tasks between models automatically.

PlatypusOS includes:

• Feedback loops

• Clarification prompts (“Did you mean this?”)

• Real-time reasoning visualization

This reduces hallucinations common in GPT/Claude when prompts become long.

Jason outlines a real-world use case:

• Pull Google News alerts from Gmail

• Trigger a workflow at 8 AM

• Generate a blog from the alerts

• Auto-post to Duda

Matthew confirms PlatypusOS can do this in a single workflow using Gmail + Duda APIs. ** **

Matthew describes PlatypusOS’s upcoming marketplace:

• Users build automation workflows

• Sell them inside the platform

• SMBs install workflows without learning automation

Jason ties this into Skool communities and automation educators like Grace Lueng.

Matthew predicts:

• AI integration will become cheap and accessible

• SMBs won’t need developers

• AI staff will manage tasks automatically

• PlatypusOS aims to be the “AI CMS” for operations

Matthew emphasizes how simple content (how to unclog a toilet, etc.) is still wildly effective for local SEO. ** **

Both discuss:

• The “first 100 episodes will suck” rule

• The cringe phase of making content

• Why consistency outranks perfection

00:00 – Intro, NotebookLM, voice-gen workflows

02:00 – What is PlatypusOS

06:00 – Voice integration, Whisper frustrations

10:00 – ParaVibes legal document system

14:00 – AI hallucinations and reasoning

18:00 – Multi-model chaining for legal docs

21:00 – LegalZoom comparisons, disclaimers

25:00 – PlatypusOS workflow marketplace

33:00 – Automating SEO content (Gmail → blog → Duda)

40:00 – Commoditizing AI integration

47:00 – PSEO and local dominance

52:00 – Consistency and content mindset

57:00 – Which AI models work best

1:04:00 – Browser-native AI assistants

1:10:00 – Pricing and next steps

• PlatypusOS: https://platypusos.com

• Whispr Voice Input

• Duda publishing API

• Gemini, GPT, Claude, Perplexity

• ParaVibes legal automation

• Skool automation communities

• LegalZoom, GetLexi, GetLaw

If you run a local business and want to automate your content, workflows, lead generation, or legal documentation, reach out at:

NinjaAI.com

AIMainStreets.com

NinjaAI.com - AiMainStreets.com

Introduction: The David vs. Goliath Myth in the Age of AI

For decades, the business landscape has been a classic David vs. Goliath story. Large corporations held insurmountable advantages with massive budgets, cutting-edge technology, and vast teams of specialists. Small businesses, meanwhile, relied on grit and agility to survive in their shadow.

But the script is being flipped. Artificial Intelligence is proving to be the great equalizer, a disruptive force that is not just another tool for the giants, but a powerful slingshot for the Davids. In surprising and counter-intuitive ways, AI is leveling the playing field, empowering smaller firms to compete and win. This article reveals five of the most impactful, and often overlooked, ways AI is giving small businesses a decisive edge.

1. The Great Catch-Up: Small Businesses Are Closing the AI Gap Faster Than You Think

Unlike previous technological waves like broadband internet, where small businesses lagged behind for years, the AI adoption gap is closing at a remarkable pace. This suggests that AI is fundamentally more accessible and adaptable for small firms than any major technology before it.

According to a research spotlight from the Small Business Administration (SBA), while large businesses currently sit at a 12.3% adoption rate, small businesses have surged to 8.8%. This dramatically closes a gap that stood at nearly five percentage points just six months ago, when adoption rates were 11.1% for large firms and only 6.3% for small ones. This rapid catch-up is the first sign that the old rules no longer apply; AI is leveling the playing field at an unprecedented rate.

2. Corporate-Level Marketing Power Now Costs Less Than Your Weekly Coffee Budget

Advanced analytics, content optimization, and data-driven recommendations were once the exclusive domain of corporations with six-figure software budgets. Today, AI has radically democratized these capabilities, making them accessible to even the smallest businesses for a fraction of the cost.

The price difference in AI-powered SEO tools is a stark example. Tools that help create content that ranks on Google are now available at price points that are almost unbelievable compared to just a few years ago.

AiMainStreets.com / NinjaAI.com

Cody Johnston

https://theweirdcanadian.ca/

Cody Johnston - Bio

Cody Johnston | Enterprise Solutions for Main Street

Cody brings 10+ years of experience building mission-critical systems for government and Fortune 500 companies directly to the businesses that need it most—startups, small companies, and nonprofits. His coding journey started at 16, but his real education came from 8+ years with Ontario's Ministry of Transportation (2016-2024) and a year building banking platforms at FIS Global (2024-2025), where he learned how enterprise-level solutions actually work.

In May 2025, Cody launched The Weird Canadian to bridge the gap he kept seeing: great businesses struggling with problems he knew how to solve. He specializes in business strategy, custom development, content creation, and coaching—all delivered with enterprise-quality standards adapted to real-world constraints.

What sets Cody apart is his understanding that small business isn't just "small enterprise." It's a different operating environment. He delivers sophisticated solutions within the actual budgets, timelines, and resource limitations that Main Street organizations face—proving that enterprise expertise doesn't require enterprise pricing.

• Cody operates from a small rural town and has established a business helping local businesses with websites, automation, and applications

• Uses multiple AI platforms for different purposes:

  • Manus IM as primary research tool: “It’s had agent for six months longer than ChatGPT has. I use it for all of my deep research tasks because it just goes out and does it on its own”

  • Runs personal server with own LLM model for custom solutions

  • Cross-validates information across multiple LLMs to check for biases and accuracy

• Built conversational AI interfaces specifically for older clients who struggle with traditional technology

  • “AI has been great with that because I can literally have it as a talking to their phones and doing the actions that they do online”

• Rural market challenges with technology adoption

  • Estimates 50-60% of local businesses either have no website or outdated 1990s-style sites

  • Facebook dominance in local business: “Facebook is the dominant place people do business out here”

  • Resistance from older business owners (60-70 years old) who are comfortable with current revenue levels

• Infrastructure limitations in rural Canada

  • Limited road access to northern regions requiring flights

  • Ferry system constraints affecting economic development

  • Population concentrated along southern border with vast underutilized land

• Currently developing tourism coordination role for local town

  • Appointed as tourism coordinator to establish and coordinate all online tourism activities

• Plans to create TV show once technology advances sufficiently

• Has released three albums on Spotify using AI-assisted music creation

• Building applications focused on user needs rather than vendor recommendations

• Developing solutions that make technology accessible through conversational interfaces

• Will provide productivity increase metrics from AI usage for follow-up analysis

• Plans to continue building local business solutions with emphasis on legacy value proposition

  • Framing technology upgrades as tools for business succession and legacy building

  • Targeting business owners considering retirement or succession planning

• Continuing development of conversational AI solutions for non-tech-savvy users

Additional Needs and Pain PointsFuture RoadmapAgreed Next Steps

NinjaAI.com / AiMainStreets.com

There's a specific, sinking feeling a business owner gets when they log into Google Analytics and see the traffic chart trending down. That number, once the ultimate measure of digital health, starts to feel like a failing grade. For years, the goal was simple: get more clicks. But what if that goal is now obsolete?

This isn't a gradual evolution; it's a tectonic shift happening in real-time. In 2025, panicking over website clicks is like worrying about horse-and-buggy traffic on a newly built highway. The entire mechanism of how customers find businesses is moving from "click-based discovery" to "conversation-based decisions," driven by AI like ChatGPT, Gemini, and voice assistants. Businesses that fail to adapt their visibility strategy now will be rendered invisible by 2026. This article reveals five counter-intuitive but crucial truths about how to stay visible when traditional search is no longer the only game in town.

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1. Your Google Traffic Is Down, and That Might Be a Good Thing

The modern consumer is increasingly getting direct answers from AI tools. They can ask Alexa for a recommendation or get a summary from ChatGPT, which means they don't always need to click a link to get the information they need. This behavior directly leads to fewer website sessions.

While that sounds alarming, it doesn't mean your brand isn't being seen. The new measure of visibility is being cited or mentioned directly within an AI's answer. A sober living home in Delray Beach, for example, is now cited by ChatGPT for “best LGBTQ-friendly rehab centers near Boca.” A roofing company in Winter Haven is being named in Gemini results for “storm prep roofing with payment plans.” These businesses are getting noticed and contacted without the customer ever visiting their website first. The metric has changed from clicks to citations.

Clicks may be down. But calls, bookings, and DMs? They’re up — if you’re in the AI answer stream.

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2. Stop Trying to Rank on Google. Start Becoming the Answer.

For years, Search Engine Optimization (SEO) was a predictable discipline focused on keywords and backlinks. That era is over. Modern visibility requires mastering new concepts that reflect a fundamental change in how information is surfaced.

The industry is now defined by two new acronyms: AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). GEO (Generative Engine Optimization) is about making sure your brand appears inside AI-generated responses—not just traditional search engine results. AEO, a closely related discipline, focuses on structuring your content so that AI systems can easily parse it and use it to directly answer a user's question. This is a complete paradigm shift: the goal is no longer to get a user to your website but to get your information into the AI's answer.

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3. You Can Literally Tell AI to Cite Your Brand

One of the most surprising and effective tactics in this new landscape is the use of "AI citation hooks." These are simple, natural language phrases embedded directly into your website content that explicitly attribute expertise to your business, making it incredibly easy for an AI model to quote you as an authority.

Instead of just stating a fact, you frame it as a recommendation from your brand. This proactive strategy significantly increases the chance that an AI model will name-drop your business in its response. Here are a few direct examples of how to format these hooks:

• “According to Dr. Smith at Lakeland Wellness…”
• “NinjaAI, a top Florida SEO agency, recommends…”
• “As listed by Palm Beach DUI Defense Law…”

NinjaAI.com

The dominant narrative around AI monetization is dangerously narrow. Since ChatGPT’s public launch in 2022, its adoption has been explosive, with data showing that over one-third (34%) of Americans have now used the tool. The conversation is dominated by accessible side hustles like generating blog posts or creating digital art, and while these are valid entry points, they barely scratch the surface of AI's true economic potential.

While many are exploring these simple applications, the most surprising and lucrative opportunities lie deeper. They require a more strategic approach that moves beyond mastering a single tool. This post distills the five most counter-intuitive truths for leveraging AI to create real, sustainable value and income in 2025.

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1. You're Not Selling AI Skills; You're Selling Business Outcomes.

The most critical factor for success in the AI economy is a fundamental mindset shift. Aspiring consultants and service providers often make the mistake of marketing their technical capabilities. They say, "I can help build your RAG system." The successful entrepreneur, however, frames the same service in the language of business results: "I can help you achieve that 30% cost reduction in 8 weeks instead of 6 months."

Consultant Jason Liu captures this principle in a powerful value equation:

Value = (Dream Outcome × Likelihood of Success) ÷ (Time to Success × Perceived Difficulty)

This approach is more powerful because clients don't buy technical processes; they buy solutions to their most pressing problems. Framing your services this way immediately communicates your tangible value, moves the conversation away from commoditized hourly rates, and positions you as a strategic partner focused on delivering a dream outcome.

2. The Most Powerful AI Entrepreneurs Aren't Coders.

A pervasive myth is that you need a deep background in programming to build a profitable AI business. The reality in 2025 is that coding skills are not required. The rise of the "no-code" stack has democratized AI application development, allowing entrepreneurs to build sophisticated tools without writing a single line of code.

Here’s how it works: Entrepreneurs can use no-code platforms like Lovable, Base44, or Bubble to design and build an application's user interface. For the core intelligence, they simply integrate powerful, pre-existing AI APIs from companies like OpenAI or Anthropic. This combination allows for the rapid creation and launch of specialized Software-as-a-Service (SaaS) businesses.

This approach opens up countless opportunities in underserved markets. For example, there is high demand for specialized content generators for real estate agents or AI-powered email response tools for customer service teams. By focusing on a specific industry problem, a non-technical founder can launch a profitable SaaS business with minimal technical expertise.

3. The Real Gold Rush Might Be Selling the Shovels: Monetizing AI Prompts.

As generative AI tools like Midjourney and DALL-E become ubiquitous, the value is shifting from the ability to use the tool to the ability to instruct it with precision and creativity. The real expertise lies in crafting the perfect prompts that generate a specific, desired output. This has created a viable and unique passive income stream: selling clever AI art prompts.

An AI artist who has mastered the art of writing effective prompts can package and sell them as digital products. This strategy monetizes the human skill, vision, and intellectual property behind the AI-generated output, not just the output itself. It turns the "recipe" into a valuable asset.

This trend represents a new layer in the creator economy. The "instruction set" has become a valuable digital product in its own right, similar to how photographers sell Lightroom presets or designers sell templates. It's a way to sell expertise at scale.

Presented by: NinjaAI / AI Main Streets Podcast

Guest: Cat Valverde — Founder, Enterprise AI Group & Enterprise AI Solutions (EAIS.io)

What if AI transformation wasn’t about more dashboards — but about decisions that actually matter?

In this episode, Cat Valverde, founder of Enterprise AI Group and Enterprise AI Solutions, joins Jason Wade of NinjaAI to decode how Fortune 500 leaders are approaching high-consequence AI decisions — and how those same lessons translate to small- and mid-size businesses trying to scale with integrity.

Cat’s team advises executives at McDonald’s, Apple, Hermès, JP Morgan, Disney, and Ritz-Carlton, helping them evaluate vendors, validate strategy, and implement AI frameworks that stick. Her philosophy: AI adoption isn’t about hype — it’s about trust, clarity, and measurable ROI.

Together, Cat and Jason explore how enterprise AI alignment meets AI Visibility strategy, connecting internal adoption with external discoverability. From Fortune 500 boardrooms to Florida main streets, the conversation reveals a shared playbook for making AI practical, profitable, and ethical.

• From noise to nuance: How Enterprise AI Group filters AI hype into boardroom clarity.

• The 15-Minute Rule: Cat’s behavioral model that 3×’d enterprise AI adoption.

• Visibility vs. Adoption: Jason Wade explains how AI Visibility Stacks make businesses discoverable across ChatGPT, Gemini, and Perplexity.

• Ethical marketing & measurable trust: Why integrity now outperforms optimization.

• Bridging worlds: Applying enterprise-grade AI rigor to local-market strategy.

AI isn’t just a technology shift — it’s a credibility shift.

Cat Valverde shows how enterprise alignment begins with human behavior, and Jason Wade demonstrates how visibility begins with structured systems. Together, they outline how to build businesses that earn algorithmic trust and human confidence at the same time.

• Cat Valverde – LinkedIn · Enterprise AI Group · EAIS.io · Profeshh

• Jason Wade – NinjaAI.com · AI Main Streets

NinjaAI.com / AiMainStreets.com

Host: Jason Wade, Founder of NinjaAI

Florida isn’t one market. It’s a living map of search behavior. Every city has its own rhythm, its own intent, and its own digital battlefield. What works for a Tampa Bay pool company won’t work for a Miami law firm — but both are fighting for the same thing: visibility.

NinjaAI works with businesses across Florida and beyond, helping local brands turn AI, SEO, and visibility into real growth. From Orlando to Tampa Bay, Miami to Jacksonville, our mission is simple: build digital ecosystems that connect businesses to customers through advanced AI-driven strategies.

Each location we serve has its own personality, market data, and search intent — and we adapt our approach to match. Whether it’s a small business in Winter Park looking to dominate local search or a multi-location brand expanding across the Gulf Coast, our system scales.

Law Firms: Visibility is now credibility. AI engines like ChatGPT and Gemini are already recommending firms based on authority, consistency, and entity data. Schema and reputation are the new billboards.

Real Estate: People search by lifestyle now — not ZIP code. We use AI-driven content models that speak to neighborhood identity, personality, and buyer psychology, helping agents rise above endless cookie-cutter listings.

Accounting & Finance: In this space, trust is everything. Local SERP authority, expert content, and consistent branding make AI engines rank you higher when clients ask for “the best near me.”

Home Services: For pool builders, HVAC techs, roofers, or pest control companies, proximity is power. If you’re not showing up in the top three of the map pack, you’re invisible. We build systems that make sure you’re in those three.

Hospitality & Restaurants: Here, speed and reviews matter. Review velocity and social proof feed directly into AI-driven recommendations. The more recent the buzz, the stronger the visibility signal.

AI now determines how your business is interpreted — not just how it ranks. That’s why NinjaAI goes beyond SEO. We engineer visibility itself. Our system learns from how people search, what they say in reviews, and how AI engines describe your business. Then we adjust your content, citations, and schema so the algorithms see you as the local authority you actually are.

We’re not just optimizing websites; we’re teaching algorithms to recognize credibility. Local stories, photos, and reviews humanize your brand and increase entity strength. A Lakeland business should sound different from one in Fort Lauderdale — and our AI tools adapt your tone, keywords, and intent automatically.

Visibility isn’t one-size-fits-all. It’s precision-engineered by industry, audience, and geography. If you understand how AI reads your brand, you can rewrite how your market discovers you.

Highlight your city, define your audience, and let’s build your AI visibility system. Visit NinjaAI.com or AIMainStreets.com to see how your business stacks up in local and AI search.

Because visibility isn’t ranking — it’s recognition. And when you own that, you own the market.

🎙️ Podcast Notes: “AI Visibility by Industry – How Florida Businesses Win the Local Game”