Artificial Intellignece

Illustrated infographic titled “The Most Expensive AI Model Is the One You Didn’t Need” by J. Michael Smith, showing how an AI request is routed by intent, confidence, and policy to deterministic data retrieval, a small specialized model, or a complex reasoning model based on the intelligence required.

25/09/ 2026

The Most Expensive AI Model Is the One You Didn’t Need

There is a growing conversation about the cost of artificial intelligence. Tokens cost money. GPUs cost money. AI subscriptions cost money. Enterprise licensing costs money. As organizations put AI into more business processes, those costs scale surprisingly quickly. All of that is true, and I think most of the conversation is happening at the wrong layer. Before asking what an AI model costs, we should ask two simpler questions: Did this task need an AI model at all, and if it did, did it need that model? That…

11/09/ 2026

We Built the Grader Before We Built the Agent

Anyone can build a chat window that answers questions about invoices. Connect a language model to the data, ask, “What is our outstanding AR for this company?” and it’ll give you something. In a demonstration, it can look like magic. The problem is the word something. In accounts receivable, an answer that is close isn’t a smaller version of the right answer. It’s a wrong answer wearing a suit. If someone carries that number into a collections call, financial report, or board presentation, “approximately right” isn’t helpful. It’s…

02/09/ 2026

Article IX – Human Intelligence and texlytics Intelligence Systems

Today we’re sharing another excerpt from the developing texlytics Charter, the document that defines the enduring beliefs and principles upon which our company is being built. As artificial intelligence continues to reshape the workplace, much of the conversation has focused on which jobs or responsibilities it might replace. At texlytics, we believe there is a more useful question organizations should be asking: How can AI multiply the impact of the people already doing the work? People bring wisdom, empathy, judgment, creativity, and experience. Technology contributes speed, consistency, scale,…

21/08/ 2026

AI Is Starting to Look Like Cryptocurrency

Remember when cryptocurrency meant Bitcoin? Then Ethereum came along. Before long, there were thousands of cryptocurrencies. Some had a clear purpose. Some filled a niche. Some disappeared almost as quickly as they appeared. I think artificial intelligence is following a similar path. Not because AI is another investment craze, but because it’s no longer one thing. A few years ago, “AI” was almost a single product in most people’s minds. Today, there are dozens of major models, each with different strengths. Building a custom AI agent for a…

texlytics Build AI ad asking “Your AI knows the internet, but does it know your business?” and emphasizing AI built around your data, processes, and rules.

20/08/ 2026

Build AI That Understands Your Business

Generic AI knows the internet. texlytics builds AI around your data, processes, and rules so it understands how your business actually works.

14/08/ 2026

Why Most AI Assistants Fail on Company Data (And It Isn’t the AI)

Every AI demo starts with the model. Every successful AI deployment I’ve worked on eventually becomes a data project. That wasn’t obvious to me at first. Like a lot of people, I started by building a Microsoft Copilot Studio agent and pointing it at our business documentation. It didn’t take long before I had something that looked impressive. Ask it a question, get an answer. It felt like one of those moments where you think, “This is going to change how people work.” Then we let real users…

31/07/ 2026

Don’t Buy Technology. Solve Problems.

A recent conversation on LinkedIn with Enterprise Systems & Data Architect Iosiv Popescu inspired this article. During a discussion about data migrations, he made an observation that stayed with me long after the conversation ended: “The business meaning never changed; only the source did.” The more I thought about that statement, the more I realized it applies to far more than data architecture. It applies to the way many organizations approach technology itself. For years, I’ve watched companies begin major initiatives by talking almost exclusively about software. The…

17/07/ 2026

The 95-Minute Notebook

This article was originally published on LinkedIn and is archived here on texlytics.com. The symptom Our Bronze ingestion notebook on Microsoft Fabric had a runtime problem. The notebook pulls incremental changes from CMiC’s REST APIs into a lakehouse on a 15-minute cadence — dozens of endpoints, all driven from a single control table. The kind of thing that should finish in a few minutes. It was taking 95. Here’s what made it interesting: the Python wasn’t slow. The API calls came back quickly. The filtering and dedupe logic…

03/07/ 2026

We spent a year building a data platform. Here’s what AI can finally do with it.

This article was originally published on LinkedIn and is archived here on texlytics.com. Most construction firms that say they want “AI” don’t have data that AI can use. The accounting system doesn’t talk to the project management tool, half the operational truth lives in spreadsheets, and the same vendor is spelled three ways across three systems. Point the fanciest model on the market at that, and it will confidently produce nonsense — because it’s learning from a mess. So before any of what follows, the boring part. We…

Category Artificial Intellignece