10 Reasons Why Your Company Should Invest in Blogging

Patrick McFadden • September 6, 2013

Blogging is one of the most important marketing activities your company should embrace. The power of blogging to reach new audiences and prospective customers cannot be underestimated. If you want your brand, products, or services to be heard on the social web, you need to have a blog.

Here are 10 reasons why your company should invest in blogging:

1. Blogs leave a digital footprint. As Seth Godin has said, “Everything you do now ends up in your permanent record.  The best plan is to overload Google with good stuff and to always act as if you’re on candid camera, because you are!” That is certainly true.

Businesses of all sizes and industries are being encouraged to put relevant and useful information online, and much of this content is freely available to view. Each time a company adds something about their brand, product, or service on the internet they enlarge their own digital footprint. Whenever a prospect or customer mentions them, they enlarge that companies digital footprint.

2. Blogs are a content management system. Blogs require very limited training and/or technical skill to use. They also provide flexibility to update or modify content quickly. As an added bonus, blogs are an inexpensive way to communicate to your target audience.

3. Blogs are a media asset   Blog content is owned media—a digital property you own and control—which means it belongs to your organization and can be integrated into your website. Owned Media is all about creating your own platform and it’s where you direct all internet traffic. It’s your living, breathing media. Bonus: A blog can serve in lieu of a website.

4. Blogs enhance SEO (search engine optimization.) Blogs allow for keyword-rich content and cross-linking to other content on the Web. Blogs also support SEO efforts.(Note: This assumes you’re using your own domain not a free third-party blogging platform.)

5. Blogs are the 7-Eleven of communication. With consumers demanding real-time communications, blogs are a great place to quickly publish relevant and useful content about your brand or respond to past, present and future issues.

6. Blogs support a various media formats. For promoting and distributing branded content, blogs simplify the process of uploading and managing text, photographs, infographics, videos, audio replays, slideshare presentations and PDF documents.

7. Blogs quarterback content distribution through multiple social channels . Blogs can expand the reach of your message through email and RSS feeds at no additional cost. Blog posts can also be complied into an email digests.

8. Blogs give you an at bat for social engagement. Blog content is currency for social media engagement on social sharing sites such as Pintrest, Googe+, Twitter, LinkedIn and Facebook. Make sure to include a contextual call-to-action.

9. Blogs can support diverse initiatives. Blogs can help companies achieve a variety of business goals, such as providing product or service-related content, answering prospects and customer questions, acquiring permission from prospective prospects and hosting an executive platform.

10. Blogs provide metrics. As with any business strategy, it’s critical to monitor your progress. Blogs allow for understanding individuals as well as markets and helps build customer relationships, strengthen brand identity and customer loyalty, and provides a  great for demonstrating marketing’s return on investment (ROI).

To sum it all up, your company blog must be at the center of your content marketing strategy. It provides a branded environment that’s great for your content that’s strategically aligned with your overall business goals. Even better is the flexibility that blogs provide and their ability to be integrated into your other marketing strategies.

The Missing Layer in AI: Why Judgment, Not Just Data, Will Define the Next Era of Intelligence

By Patrick McFadden • May 2, 2025
Everyone is scaling outputs. Almost no one is scaling judgment.

Everyone Talks About AI Judgment. We Built It.

By Patrick McFadden • May 2, 2025
Ask anyone in tech where AI is headed, and they’ll tell you: “The next leap is reasoning.” “AI needs judgment.” “We need assistants that think, not just answer.” They’re right. But while everyone’s talking about it, almost no one is actually shipping it. So we did. We built Thinking OS™ —a system that doesn’t just help AI answer questions… It helps AI think like a strategist. It helps AI decide like an operator. It helps teams and platforms scale judgment, n ot just generate output. The Theory Isn’t New. The Implementation Is. The idea of layering strategic thinking and judgment into AI isn’t new in theory. The problem is, no one’s been able to implement it effectively at scale. Let’s look at the current landscape. 1. Big Tech Has the Muscle—But Not the Mind OpenAI / ChatGPT ✅ Strength: Best-in-class language generation ❌ Limitation: No built-in judgment or reasoning. You must provide the structure. Otherwise, it follows instructions, not strategy. Google DeepMind / Gemini ✅ Known for advanced decision-making (e.g., AlphaGo) ❌ But only in structured environments like games—not messy, real-world business scenarios. Anthropic (Claude), Meta (LLaMA), Microsoft Copilot ✅ Great at answering questions and following commands ❌ But they’re assistants, not advisors. They won’t reprioritize. They won’t challenge your assumptions. They don’t ask: “Is this the right move?” These tools are powerful—but they don’t think for outcomes the way a strategist or operator would. 2. Who’s Actually Building the Thinking Layer™? This is where it gets interesting—and thin. Startups and Indie Builders Some small teams are quietly: Creating custom GPTs that mimic how experts reason Layering in business context, priorities, and tradeoffs Embedding decision logic so AI can guide, not just execute But these efforts are: Highly manual Difficult to scale Fragmented and experimental Enterprise Experiments A few companies (Salesforce, HubSpot, and others) are exploring more “judgment-aware” AI copilots. These systems can: Flag inconsistencies Recommend next actions Occasionally surface priorities based on internal logic But most of it is still: In early R&D Custom-coded Unproven beyond narrow use cases That’s Why Thinking OS™ Is Different Instead of waiting for a lab to crack it, we built a modular thinking system that installs like infrastructure. Thinking OS™: Captures how real experts reason Embeds judgment into layers AI can use Deploys into tools like ChatGPT or enterprise systems Helps teams think together, consistently, at scale It’s not another assistant. It’s the missing layer that turns outputs into outcomes. So… Is This a New Innovation? Yes—in practice. Everyone says AI needs judgment. But judgment isn’t an idea. It’s a system. It requires: Persistent memory Contextual awareness Tradeoff evaluation Value-based decisions Strategy that evolves with goals Thinking OS™ delivers that. And unlike the R&D experiments in Big Tech, it’s built for: Operators Consultants Platform founders Growth-stage teams that need to scale decision quality, not just content creation If Someone Told You They’ve Built a Thinking + Judgment Layer™… They’ve built something only a handful of people in the world are even attempting. Because this isn’t just AI that speaks fluently. It’s AI that reasons, reflects , and chooses. And in a world that’s drowning in tools, judgment becomes the differentiator. That’s the OS We Built Thinking OS™ is not a prompt pack. It’s not a dashboard. It’s not a glorified chatbot. It’s a decision architecture you can license, embed, or deploy— To help your team, your platform, or your clients think better at scale. We’ve moved past content. We’re building cognition. Let’s talk.

We Found the Missing Layer AI Has Been Waiting For

By Patrick McFadden • May 2, 2025
In every era of innovation, there’s a silent bottleneck—something obvious in hindsight, but elusive until the moment it clicks. In today’s AI-driven world, that bottleneck is clear: AI has speed. It has scale. But it doesn’t have judgment . It doesn’t really think . What’s Actually Missing From AI? When experts talk about the “thinking and judgment layer” as the next leap for AI, they’re calling out a hard truth: Modern AI systems are powerful pattern machines. But they’re missing the human layer—the one that reasons, weighs tradeoffs, and makes strategic decisions in context. Let’s break that down: 1. The Thinking Layer = Reasoning with Purpose This layer doesn’t just process inputs— it structures logic. It’s the ability to: Ask the right questions before acting Break down complexity into solvable parts Adjust direction mid-course when reality changes Think beyond “what was asked” to uncover “what really matters” Today’s AI responds. But it rarely reflects. Unless told exactly what to do, it won’t work through problems the way a strategist or operator would. 2. The Judgment Layer = Decision-Making in the Gray Judgment is the ability to: Prioritize what matters most Choose between imperfect options Make decisions when there’s no clear answer Apply values, experience, and vision—not just data It’s why a founder might not pursue a lucrative deal. Why a marketer might ignore the click-through rate. Why a strategist knows when the timing isn’t right. AI doesn’t do this well. Not yet. Because judgment requires more than data—it requires discernment . Why This Is the Bottleneck Holding Back AI AI can write. It can summarize. It can automate. But it still can’t: Diagnose the real problem behind the question Evaluate tradeoffs like a founder or operator would Recommend a path based on context, constraints, and conviction AI today is still reactive. It follows instructions. But it doesn’t lead. It doesn’t guide. It doesn’t own the outcome. And for those building serious systems—whether you’re running a company, launching a platform, or leading a team—this is the wall you eventually hit. That’s Why We Built Thinking OS™ We stopped waiting for AI to learn judgment on its own. Instead, we created a system that embeds it—by design. Thinking OS™ is an installable decision layer that captures how top founders, strategists, and operators think… …and makes that thinking repeatable , scalable , and usable inside teams, tools, and platforms. It’s not a framework. It’s not a chatbot. It’s not another playbook. It’s the layer that knows how to: Think through complex decisions Apply judgment when rules don’t help Guide others —human or AI—toward strategic outcomes This Is the Missing Infrastructure Thinking OS™ isn’t just about better answers. It’s about better thinking—made operational. And that’s what’s been missing in AI, consulting, leadership development, and platform design. If you’re trying to scale expertise, install judgment, or move from tactical to strategic… You don’t need a faster AI. You need a thinking layer that knows what to do—and why. We built it. Let’s talk.
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