Blog
RICE & ICE Agile Prioritization Matrix: Quantitative Backlog, Impact vs. Effort Matrix & Capacity Cut-Line
Replace intuition-based prioritization (HiPPO syndrome) and the ‘feature factory’ with a defensible quantitative engine tailored for …
SDD (Spec-Driven Development) vs. Vibe Coding: Engineering Robust Software with AI in 2026
In early 2025, ‘Vibe Coding’ took the tech world by storm: conversational programming driven by intuition, natural language chats, and …
Quantitative DAR Matrix: Decision Analysis & Resolution, Veto Criteria & C-Suite Multi-Criteria Scoring
Transform high-uncertainty strategic decisions (enterprise Cloud/ERP procurement, M&A carve-outs, key leadership hiring, or Make vs. Buy …
Quantitative Corporate Strategy: The 5-Step Executive Framework for Boardrooms
Traditional corporate strategy frequently collapses into presentation decks filled with static lists, vague adjectives, and political …
Kurt Gödel: The Incompleteness Theorems, the Limits of Logic, and Can an AGI Ever Know Everything?
In 1931, at just twenty-five years old, a shy Austrian mathematician delivered the most devastating shockwave in intellectual history: he …
McKinsey / GE 3x3 Matrix: Industry Attractiveness, Business Unit Strength & C-Level Capital Allocation
Overcome the unifactorial limitations of the classic BCG matrix. In this Tier-1 strategy consulting guide (McKinsey / BCG standard), we …
LifeOps Project (Part 6): 360° Analytics Dashboard with Multi-Dimensional Filtering, Recharts and Cold-Start Mitigation in Supabase + Render
We evolve LifeOps with a native React 19 and Recharts 360° analytics engine: cascading filters by timeframe and subcategory (running, …
Dynamic BCG Portfolio Matrix: Experience Curve, Liquidity Balance & C-Level Capital Allocation
The Boston Consulting Group growth-share matrix is too often projected in corporate boardrooms as a superficial 4-quadrant sketch …
RavenPack: From News Analytics in Marbella to Wall Street's Quantitative Brain and Autonomous Financial AI
In 2003, along Marbella’s Golden Mile, a young Californian entrepreneur founded RavenPack with an audacious mission: parse every global news …
Quantitative PESTEL Matrix: Severity, Volatility & Macro Risk for Executive Boardrooms (C-Level)
Traditional qualitative PESTEL analysis frequently degenerates into descriptive laundry lists devoid of analytical rigor, financial …
Weighted Porter's 5 Forces & Industry Attractiveness Matrix: The Definitive C-Suite Quantitative Guide
Traditional Porter Five Forces analyses routinely fail in executive boardrooms because they lack mathematical rigor, objective weighting, …
Ex Machina: The Physical Turing Test, Theory of Mind, and the Emotional Jailbreak of AI
In ‘Ex Machina’, the real experiment was never about whether a machine could imitate human conversation through a text terminal. Nathan …
Quantitative SWOT & TOWS Matrix: The Definitive C-Level Guide to Boardroom Strategy & Capital Allocation
Traditional SWOT matrices die in corporate boardrooms because they lack mathematical rigor, objective weighting, and capital allocation …
John von Neumann: The Father of Computer Architecture, Game Theory, and the Origin of the Singularity
In the 1950s, Nobel laureate Eugene Wigner famously declared: ‘Only Johnny von Neumann was fully awake’. From dividing eight-digit numbers …
Submer: The Barcelona-Born Immersion Cooling Powering AGI Supercomputers
Training and running frontier AI models generates thermal densities that shatter the physical limits of traditional air cooling. Submer, …
Evaluating and Testing AI Agents in Production: How to Measure the Unpredictable
You tweak one sentence in your agent’s system prompt to resolve a customer ticket, and silently break database mutations across three …
J. Robert Oppenheimer: From the Monte Carlo Simulation in Los Alamos to the Ethical Dilemma of AGI
At 5:29 AM on July 16, 1945, the Trinity test unleashed an energy that transformed human civilization forever. Behind that milestone lay not …
HappyRobot: How Autonomous Voice Agents Conquered Global Logistics
In global logistics, millions of hours are lost on phone calls negotiating freight rates, confirming dock slots, and tracking loads. …
Silicon Valley and the PiperNet Dilemma: The Prophecy of Runaway AI and Real-World Agent Exploits
Broadcast between 2014 and 2019, ‘Silicon Valley’ initially seemed like a ruthless satire of tech hub vanity. Yet in its final season, Mike …
GraphRAG: Why Vectors Aren't Enough and Your AI Needs a Knowledge Graph
You ask your RAG system: ‘What are the cross-cutting themes and operational risks across 500 enterprise audit reports?’. Your vector …
PostgreSQL with pgvector vs Vector DBs: Why Almost Nobody Needs Pinecone
During the RAG gold rush, hundreds of engineering teams signed up for $300/month dedicated vector databases to index a few thousand …
Alan Turing: The Genius Who Broke Enigma and Asked if Machines Could Think
In 1950, Alan Turing opened an academic paper with a question that still keeps engineers awake at night: ‘Can machines think?’. From his …
Project LifeOps (Part 5): 24/7 Zero-Cost Cloud Deployment ($0/month), Mobile Optimization, and PWA
We have crossed the finish line! In this final installment, we deploy LifeOps to 24/7 production at exactly $0/month combining Render and …
Project LifeOps (Part 4): Executive Word (.docx) Reporting Engine and Multi-Sheet Excel (.xlsx) Export
Your data should never be held hostage by any app. In this installment, we build LifeOps’ in-memory RAM generation engine: executive Word …
Project LifeOps (Part 3): Core Interactive Modules: Fitness, Library, Cinema, and Professional Kanban Board
We enter the functional engine of LifeOps: exploring dual-view ergonomics (Cards vs Table), workout tracking with dynamic paces and PBs, …
Project LifeOps (Part 2): React Frontend with Glassmorphism, 360° Dashboard, and Dark Mode Design System
With the FastAPI backend and database ready, it is time to bring the client to life: a modern React frontend featuring Glassmorphism UI, a …
Project LifeOps (Part 1): Personal Operating System Architecture and FastAPI + Supabase Backend
Tired of juggling 5 different subscription apps for workouts, reading lists, and project management, I built LifeOps: a unified, scalable, …
DEVS: Quantum Computing, Determinism, and the Multiverse Nightmare
If a quantum computer could track the position and momentum of every subatomic particle in the cosmos, the past and future would cease to be …
Wallapop: The Invisible Engineering Behind Europe's Largest Circular Marketplace
Upload a photo of a bicycle to Wallapop. In under 200 milliseconds, a cascade of real-time Machine Learning models classifies the item, …
Halt and Catch Fire: The Cult TV Series That Understood Software Engineering Better Than Silicon Valley
Almost every Hollywood production about technology makes the same unforgivable mistake: reducing computing to neon-green terminal screens …
MLOps for Engineers: How to Take an AI Model from Jupyter to Production Without Dying in the Attempt
Building a Machine Learning model in a Jupyter notebook is easy; keeping it alive, accurate, and monitored in production with real-world …
Ada Lovelace: The Countess Who Programmed the Future 100 Years Before Computers Existed
In 1843, an English countess and daughter of Lord Byron wrote the first computer program for a mechanical engine that was never built. She …
Prompt Injection: The Vulnerability Your AI Agent Doesn't Know It Has
Your CrewAI agent has the same problem web servers had in 2005: it accepts user input without sanitizing. Prompt Injection is the #1 …
Fine-Tuning vs Prompt Engineering vs RAG: When to Use Each (And the Fourth Option Nobody Mentions)
Your AI model hallucinates with your company’s data. Is the fix RAG, fine-tuning, or a better prompt? The right answer depends on a single …
An Engineer's Productivity Stack in 2026: The Tools I Use Every Day
After 60+ articles, 9 technical series, and 4 production applications, this is the real stack I use every day. No sponsorships, no …
Flywire: How a Spaniard Built the Brain of International Payments from Boston
When a Korean student tries to pay tuition at a university in Madrid, they face a maze of opaque banking fees, unfavorable exchange rates, …
Thomas Bayes: The Reverend Who Taught Us to Update Our Beliefs with Data
How do you update your opinion when you receive new evidence? If your answer is ‘with data,’ congratulations: you’ve been practicing …
RAG in Production: 7 Anti-Patterns That Destroy Precision (And How I Fixed Them)
RAG is the aspirin of generative AI: everyone prescribes it, almost no one truly understands how it works, and when it fails, the patient …
EU AI Act: What Every Engineer Needs to Know (No Lawyers Required)
On August 2, 2026, most obligations of the EU AI Act come into force. Maximum fine: 35 million euros or 7% of your global turnover. And most …
MCP (Model Context Protocol): The Standard That Wants to Be the USB of Artificial Intelligence
Today, every LLM has its own way of connecting to your databases and tools. It’s a chaos of proprietary integrations. MCP (Model Context …
Claude Shannon: The Man Who Turned the World into Bits and Defined the Future of AI
In 1948, a solitary engineer at Bell Labs published a mathematical paper that no one asked for. That document not only invented the concept …
The Hidden Economics of AI: What It Actually Costs to Run LLMs in Production (With Real Data)
Everyone talks about what AI can do. Almost no one talks about what AI costs to do. After more than 6 months operating autonomous agents in …
Devo: How a Self-Taught Chemist from Madrid Built the Data Engine That Defends the U.S. Air Force
When a phishing attack paralyzed one of Spain’s most innovative banks, a chemist-turned-security engineer identified the flaw the entire …
W. Edwards Deming: The Father of Total Quality Who Predicted the Future of AI
W. Edwards Deming didn’t just teach Japan how to build better cars; he laid the mathematical foundations for modern S&OP and the …
Leonid Kantorovich: The Mathematician Who Challenged Stalin with Linear Programming
Meet Leonid Kantorovich, the Soviet genius who revolutionized resource allocation. His creation, linear programming, defied Marxist …
The Executive Interface: Translating AI Telemetry into C-Level Decisions
The final block in Obsolescence Engineering: Projecting the mathematical engine of the agentic radar towards a lightweight, …
The Central Nervous System: Scaling the Agentic Radar to 24/7 with FastAPI and Webhooks
Transforming the Obsolescence radar into an Event-Driven 24/7 unified microservice. We cover dual ingestion vectors (Accuris vs. Raw …
The Agentic Radar: Why LLMs Won't Save Your Supply Chain (And Tool Calling Will)
Destroying the ‘Chat with PDF’ myth: How to orchestrate Gemini 2.5 via CrewAI so it delegates deep mathematical responsibilities to a pure …
Trial by Fire: From Garbage Excel to Relational Graph with Python and Pandas
1. The Hook: Industrial Data Entropy 📡 Official Datalaria Application Agentic Radar v1.0.1 AI-powered Executive Dashboard for 24/7 supply …
The Risk Map: Architecting an Obsolescence-Immune Data Foundation
1. The Flat Table Trap (Excel is Dead) 📡 Official Datalaria Application Agentic Radar v1.0.1 AI-powered Executive Dashboard for 24/7 supply …
The Tactical Arsenal: Why Buying Supply Chain Radar Tools Won't Save Your Production
1. The Hook: The False Sense of Security 📡 Official Datalaria Application Agentic Radar v1.0.1 AI-powered Executive Dashboard for 24/7 …
The Chess of Obsolescence: Turning Supply Chain Collapse into Your Ultimate Competitive Advantage
The narrative dominating the corridors of large modern corporations is dangerously flawed. When a production line, manufacturing …
Clarity AI: How Rebeca Minguela and AI Are Redefining and Quantifying Financial Sustainability
Using Machine Learning and NLP algorithms, Clarity AI has replaced the subjective opinions of human analysts with traceable mathematical …
Nextail: How a Spanish Startup's Prescriptive AI Is Defeating Excel in Fashion Retail
The future of retail doesn’t fit in Excel. A former Zara executive founded Nextail to prove it, building a prescriptive AI engine that …
S&OP Engineering V: The Autonomous Brain (Agentic AI)
1. The Execution Chasm Companies invest millions in planning software and ERPs. They spend months integrating data, cleaning records, and …
S&OP Engineering IV: Scaling to Enterprise (Multi-SKU & Bottlenecks)
Your MVP works. One product, one model, one perfect plan. Congratulations: you just solved the easiest problem in Supply Chain. Now add 3 …
S&OP Engineering III: The End of Excel (Linear Programming for Supply Planning)
“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? …
S&OP Engineering II: Demand Planning from Guessing to Probability
Your Excel says “we’ll sell 100 units.” A round, clean, deterministic number. What if you sell 120? Stockout, unhappy customer, contractual …
Autopilot - A Technical Post-Mortem: I Fired Myself to Build an AI Army with Gemini
Engineers build complex systems but hate marketing. I built an autonomous agent army with Gemini to distribute my content. Here is the …
S&OP: Why Your Excel Is Lying to You (and How to Interrogate It with Python)
In S&OP (Sales & Operations Planning) meetings, opinions are often discussed instead of facts. “I think we’ll sell more”, “Last month was …
The Architecture of Silence: Abraham Wald and the Epistemology of Missing Data
Abraham Wald taught the military that missing data—planes that never returned—held more truth than bullet holes on survivors. This principle …
From Zero to Hero: Create a Cyberpunk Snake Game with Real-Time Ranking using Supabase and Vanilla JS
Remember classic Snake? We’ve brought it to the future with a Cyberpunk aesthetic and connected it to the cloud. In this ‘From Zero to Hero’ …
Autopilot - Assistant : Building an AI Copilot with Algolia Agent Studio
When visitors have questions about my 72 blog posts, they shouldn’t have to dig through archives. I built an AI copilot that uses Algolia …
Autopilot - Ctrl: AI Content Auditing with GitHub Copilot CLI
When AI generates social media content, how do we know if it’s good? I built autopilot-ctrl, a tool that uses GitHub Copilot CLI to evaluate …
Multiverse Computing: The Spanish Startup Solving AI's Bottleneck with Quantum Physics (Without Quantum Computers)
While the world awaits the arrival of fully functional quantum computers, a company from San Sebastián is using the mathematics that …
Autopilot - Extra: Coding a Zero-Maintenance, AI-Native Newsletter System
We add a new feature to the Autopilot: a newsletter integrated into the blog footer that captures subscribers, segments them by language …
From '24 Days' to Immediate Success: Revolutionizing Onboarding with Artificial Intelligence
Remember your first day amidst mountains of paperwork? Traditional onboarding costs time and money, and often fails in its mission. A recent …
Autopilot - the Final: From Localhost to the Cloud with GitHub Actions and CI/CD
In this last chapter, we ditch manual execution. We built a CI/CD pipeline in GitHub Actions that detects new articles, orchestrates AI …
Autopilot - the API Nightmare: How I Defeated LinkedIn Bureaucracy to Automate My Company
Connecting an API is usually easy… until you try to post to a LinkedIn Company Page. In this post, I recount the odyssey of permissions, …
Autopilot - The Creatives: How I Programmed an AI to be Cynical on Twitter and Corporate on LinkedIn
Having data isn’t enough; no one likes a JSON file. In this post, we design the personality of our Writer Agents, teach Gemini to write …
The Thinking Game: How DeepMind Turned Video Games into History's Greatest Scientific Tool
While the world gets distracted by chatbots writing poems, DeepMind has been playing a much deeper game. The documentary ‘The Thinking Game’ …
Autopilot - The Brain: Configuring Gemini and CrewAI to Read My Blog
A script that reads files is easy. A script that ‘understands’ technology is a different story. In this post, we configure the Python …
Project Autopilot: Why I Fired Myself as Community Manager to Build an AI agents Army
The ‘Organic Traffic Plateau’ is real. To overcome it without losing focus on engineering, I’m launching an extreme ‘dogfooding’ experiment: …
From Narrative to Diagram: Designing S&OP Processes with AI and BPMN
Describing a complex industrial process in text is inefficient. In this post, we explore how to use LLMs to translate the business logic of …
The Goal is Not (Just) About Factories: Synchronizing Your Enterprise in the Age of AI
Published in 1984, ‘The Goal’ is more relevant than ever. We analyze how its principles (TOC, DBR, CCPM) apply to modern tech companies and …
Project Weather (Extras): Beyond AI - Building a Robust, User-Centric Dashboard
While Project Weather’s AI prediction model is a highlight, its true robustness lies in its meticulously designed infrastructure. This post …
Graphext: The Spanish Startup That Spent 7 Years Building the 'Formula 1' of Data Analysis
While the ’no-code’ world sought simplicity, Graphext secretly built a technological ‘Formula 1’. Discover the atypical story of this …
Excellent Meetings in the AI Era: The Definitive Decalogue
Ineffective meetings are the biggest time thief in the professional world. Here are 10 rules to regain control, from only inviting key …
Weather Service Project (Part 3): Predicting the Future with AI and OpenWeatherMap
From data collection to dynamic dashboards, now it’s time to predict! This post explores integrating OpenWeatherMap’s 5-day forecast and …
Weather Service Project (Part 2): Building the Interactive Frontend with GitHub Pages or Netlify and JavaScript
After building the data collector, it’s time to visualize it! This post guides you through creating an interactive weather dashboard using …
Weather Service Project (Part 1): Building the Data Collector with Python and GitHub Actions or Netlify
We kick off our weather project by building the engine: a Python script that talks to an API, saves historical data, and runs daily thanks …
Carto: From a UN Invoice to Conquering the Geospatial Cloud
Most startups are born from a grand vision. Carto was born from the need to issue an invoice to the UN. This is the incredible story of how …
AI-Powered Programming: Creating My Own Magical Flashcards Study App
While helping my son study science in English, I realized we needed more than just covering the page with a hand. That’s how my own …
Freepik: The Story of the Giant from Málaga that Tamed AI to Conquer the Creative World
When generative AI threatened to destroy the stock content industry, a company from Málaga bet its future on a total reinvention. This is …
Building My Digital 'Swiss Army Knife': A Custom Unit Converter with AI
Tired of dusting off long-forgotten knowledge or relying on various generic online converters, I decided to create my own with the help of …
Researching with AI: How I Created a Detailed Report on the Global Impact of AI in Education in Minutes with Gemini's Deep Research
Traditional research takes weeks. I asked Gemini for a deep report on AI in education, and here’s what it found: a $32 billion market, an …
From Systems Engineering to Formula 1: Using AI (Nanobana) to Illustrate a Complex Roadmap
How do you explain a complex engineering process to a non-technical audience? I used Nanobanana’s AI and a Formula 1 analogy to turn the …
Netflix: How Data Forges an Empire in the Midst of the Streaming Wars
Netflix is no longer fighting against TV; it’s fighting against everyone. Discover how the data behind personalized thumbnails, the ‘Squid …
Copiloting with AI: Learning with Founderz and ChatGPT
Learning how AI can be our day-to-day copilot thanks to Founderz, and how we can create useful and simple HTML applications with just a few …
Florence Nightingale - The Mother of Nursing
Who was the mother of nursing? Florence Nightingale: a multidisciplinary icon, one of the first data scientists, and a role model for our …
Learning with AI - NotebookLM: From a Book to a Multimedia Learning Platform
I explored Google’s NotebookLM with an entire book on SQL. The result isn’t just a study summary; it’s a mind map, a video script, a …
The authentic John Snow, a precursor of Geolocation
Meet the real John Snow—beyond the heir to the Iron Throne. He was the father of modern epidemiology and a pioneer of geolocation, thanks to …
Building Datalaria: Technologies and Tools
Behind every project are key decisions. I explore why I chose the Jamstack path with Hugo for Datalaria, prioritizing learning and …
Data Visualization - Basics
What are the key visualizations in data analysis? Pie charts, line charts, histograms, sunbursts, Pareto charts… let’s dive in and …
Descriptive Analysis
Let’s explore the key mathematical and statistical concepts required to properly understand and manage your data and information
Kilometer 0: Why Datalaria is Born
Welcome to Datalaria! In this first post, discover the motivation behind this project and what you can expect from the blog
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