Is Blogging Worth the Effort?

Patrick McFadden • December 27, 2013

I do it, preach and teach on it every week.

Attract the right kind of prospects by creating and distributing the right kind of information.

Engage your audience so they come to know, like, and trust you. Let them know you’re the expert who’s going to give them the information (and eventually the products and services) that won’t let them down.

Then use indispensable marketing techniques to convert those prospects into customers.

This  is  a proven, systematic way to build your business.

But sometimes I hear people say, “Patrick, that sounds like a lot of work.”

Well, OK, I’m going to give it to you straight. You can make a living without a job, but it takes a lot of work.

So let’s break it down …

Many people are confused as to what a blog is?

It used to be (about 15 or 16 years ago) a blog was someone’s online journal. Let me start by saying that blog (back then) and the blog (of today), are not the same thing.

Today a blog should be thought of in terms of a resource center and positioned as such. 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 company’s digital footprint.

In sum, a business should only add a blog to their site in order to help customers find answers to the problems they seek.

For example, if your small or midsize business offers Technical, Plumbing, HVAC, or Electrical services you may want to offer content that tells customers how to troubleshoot before calling a service representative. Providing this information could save the customer money on a service call; and, positions you, the small or midsize business, as an expert. It also demonstrates that your small or midsize business cares about its clients, not just the money involved.

These are the components of a successful website that will drive conversions and offer prospects and current customers the information they truly want and seek out.

Note:  For today’s post I used Technical, Plumbing, HVAC, or Electrical services as an example, but the help customers find answers to the problems they seek mentality applies just as surely to a financial planner, homemaker, waitress, staffing firm, consultant or executive coach as it does to those.

Here’s the thing — work is what makes it worthwhile

I’m not saying you’re going to love all the aspects of running your business. Even my business has elements that don’t play to my strengths, or are just plain tedious to me.

But because my business Indispensable Marketing — like every great business — is about providing real value and helping people, the  real  work is like red bull—it gives me wings.

  • Giving a compelling presentation that educates and inspires people — that’s remarkable.
  • Writing an article or an email message that helps someone connect the dots and make a real change — that’s remarkable.
  • And yes, doing what works for my business, making it better, and having confidence that our profitability remains strong and healthy — that’s remarkable too.

And you don’t have to be Indispensable Marketing to do that in your business. You can do it today. You can be that authority — that expert — in your own business. You don’t have to wait for more viewers, subscribers or more Likes or some kind of gimmick system.

 

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