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Things I actually built with agents, including the steps that did not work
Things I actually built with agents, including the steps that did not work
12 articles
On the Eve of the Final, I Had fable 5 Run Another Million Simulations: Messi Kicked More Than Half the Gap Away
All six predictions from the last article hit: Spain 2-0 France, Argentina 2-1 England, and the 41.8%-probability Spain–Argentina final came true. Before the final I fed the semifinal data back to fable 5 and re-ran a million simulations: Spain's win probability dropped from 54.1% to 51.8%, Argentina's rose from 45.9% to 48.2% — Messi, leading the tournament scoring chart, took back the points the model had docked for his age. Plus the story of a photo taken 19 years ago: Messi and baby Yamal.
I'm a Messi Fan, But I Asked the Strongest Model Ever — fable 5 — to Predict the World Cup. The Answer Hurt.
The 2026 World Cup semifinals are set, so I had Claude Fable 5 build a prediction model — Elo ratings, age-curve and tournament-experience adjustments, a dedicated penalty-shootout submodel — and run 1,000,000 Monte Carlo simulations. The result is the 'Argentina Paradox': Argentina has the highest probability of reaching the final (66.5%), yet Spain is the most likely champion (37.5%). A sensitivity analysis shows Messi's form is literally the dividing line.
Subtitle Position Detection with OpenCV and Amazon Nova
A hybrid CV + LLM pipeline for automatic subtitle detection — 6 iterations to reach 83% accuracy on multilingual video.
Building an Enterprise Agentic AI Platform with Kiro and AWS
We built a full AI agent platform in one week using Kiro IDE — zero hand-written code. Here's exactly how.
Building Real-Time AI Audio-Video with Amazon Nova
Build a low-latency multimodal AI assistant with Amazon Nova, Transcribe, Polly, and the open-source TEN framework.
Amazon QuickSuite: Natural Language Data Analysis Guide
Connect databases, build dashboards, and query data in plain English with Amazon QuickSuite — step by step.
How to Build AI Agents for Ad Creative Generation
Automate ad copywriting, image, and video production with Strands Agents and Amazon Bedrock. A practical, code-first guide.
How to Build a RAG System with LangChain and Elasticsearch
A hands-on guide to building Retrieval Augmented Generation — from vector embeddings to context-enhanced LLM answers.
How to Build an AI Video Course Generator with Python
Turn PowerPoint slides into narrated video courses using LLMs, text-to-speech, and FFmpeg — fully automated.
Building a Knowledge Base Search Engine with FSCrawler and Elasticsearch
Index PDFs, Word docs, and scanned files into Elasticsearch with FSCrawler. Covers OCR, custom mappings, and production setup.
Building a Distributed Job Scheduler in Go
Design and ship a production task scheduler with Go, Machinery, Redis, and cron. Covers distributed locking and retry strategies.
How to Build API Monitoring with Grafana and Elasticsearch
Set up production API monitoring from scratch — Elasticsearch data source, Lucene queries, Grafana panels, and alerting rules.