How many apps do you use daily to manage your life? If you are anything like me, you probably have one app to track your runs and gym workouts, another to keep tabs on books, a website to rate movies and TV series, and two or three more tools for pro...

You have an AI model that hallucinates with your company's data. You open a support ticket and ask the chatbot about your returns policy. The chatbot, powered by GPT-4 or Gemini 2.5, responds with a fabricated policy that sounds perfectly plausible b...

RAG is the aspirin of generative AI: everyone prescribes it, almost no one truly understands how it works, and when it fails, the patient hallucinates. If you've attended any tech conference in the past 18 months, you'll have heard the same promise r...

If you've ever tried building an AI agent system in production, you know the pain. During the construction of the agentic radar for Obsolescencehttps://datalaria.com/en/posts/obspart5radaragent/, I faced the problem of connecting Gemini 2.5 with my S...

The most highly engineered artificial intelligence backend fails to secure financial viability if upper management lacks the mechanism to visualize its direct impact on profitability. Applied Operations Engineering does not terminate inherently withi...

1. The Execution Chasm Companies invest millions in planning software and ERPs. They spend months integrating data, cleaning records, and tuning demand forecasts. Yet, at the end of the day, execution often relies on an analyst staring at a dashboa...

Your MVP works. One product, one model, one perfect plan. Congratulations: you just solved the easiest problem in Supply Chain. Now add 3 products sharing the same factory. Product A needs 14,000 units in July. Product C needs 13,000 that same month...

"We always want 4 weeks of coverage." This phrase, repeated like a mantra in every S&OP meeting on the planet, is financially toxic. Why? Because it's a fixed rule applied to a dynamic system. If your demand in January is 200 units and in July is 20...

Your Excel says "we'll sell 100 units." A round, clean, deterministic number. What if you sell 120? Stockout, unhappy customer, contractual penalty. What if you sell 50? 50 units sitting in your warehouse, immobilizing capital that could be generatin...

In S&OP Sales & Operations Planning meetings, opinions are often discussed instead of facts. "I think we'll sell more", "Last month was weird". The root problem is not the lack of business vision, it's the lack of signal integrity. Most supply cha...

Do you remember the classic Snake from the old Nokias? Now imagine it with neon lights, synthesized music, explosive particles, and most importantly: connected to the cloud. Web game development has experienced a renaissance thanks to the power of H...

What I Built Ops Engineering Copilot is an AI-powered chat widget that lives on my Hugo blog and answers visitor questions using conversational AI grounded in my actual content. Ask it "What is Datalaria?" and instead of a generic response, you ge...

What I Built autopilot-ctrl is a command-line tool that audits AI-generated social media content before publishing. Think of it as a "quality gate" for your content pipeline. The Problem My blog has an autopilot system that automatically generate...

I thought the Autopilot was complete. Twitter, LinkedIn, Dev.to... everything automated with a simple git push. But I was missing something important: a direct connection with my readers. Social media is great for reach, but algorithms decide who se...

We have come a long way. We started by designing a Brain capable of reading Post 2https://datalaria.com/en/posts/aiagentspart2/, we gave it personality with Creative Agents Post 3https://datalaria.com/en/posts/aiagentspart3/, and we fought against bu...

Until now, everything was fun. We had AI agents with cynical personalities Post 3https://datalaria.com/en/posts/aiagentspart3/ and a brain capable of analyzing text Post 2https://datalaria.com/en/posts/aiagentspart2/. But everything lived in the safe...

In Post 2: The Brainhttps://datalaria.com/en/posts/aiagentspart2/, we achieved something technically important: a Python script capable of reading my technical articles and extracting their essence into a structured JSON. But I have a problem. If I ...

In Post 1: The Strategyhttps://datalaria.com/en/posts/aiagentspart1/, I promised I wouldn't use third-party tools to manage my social media. I promised to build an "army of agents." Today, we leave PowerPoint behind and open the IDE. We are going to...

In the world of engineering and technical blogging, we often face the "Builder's Paradox." We can spend 40 hours perfecting a specific topic, defining an architecture, or debugging tiny technical details. Yet, we can't seem to find 15 minutes to effe...