In distribution, logistics and retail, customer questions grow faster than the team answering them. What manual support really costs, what should change, and what we found across dozens of companies assessed in Latin America and the United States.
En distribución, logística y retail el volumen de consultas crece más rápido que el equipo que las responde. Qué cuesta atender a mano, qué debería cambiar y qué vimos en decenas de empresas evaluadas en LATAM y Estados Unidos.
On August 5, 2026, AWS made vector search generally available in Amazon DynamoDB. The headline promises single-digit millisecond searches, 99%+ recall, and a design that reaches trillions of vectors. The reaction across engineering forums split in two within hours. One group read it as the end of a product category, with variations on
DynamoDB Now Does Vector Search Read More »
The security team got paged at 2am. An IAM role in the production account had been granted S3 full access. The CloudTrail event showed when it happened and who did it. What it did not show was whether this change violated their least-privilege policy, which compliance framework required remediation within 24 hours, whether other roles
Steal These 25 Compliance and Security Agent Patterns for AWS Read More »
Originally published on Build With AWS. A logistics coordinator at a mid-size manufacturer spends every Monday morning copying order data from the ERP into a spreadsheet, cross-referencing inventory levels in a second system, emailing the warehouse team about shortages, and updating the shipping schedule in a third tool. The entire ritual takes three hours. The
25 Workflow Automation and Process Agent Patterns on AWS You Can Steal Right Now Read More »
An engineer spent 40 minutes last Thursday searching for the internal API rate-limiting policy. She checked Confluence, Notion, three Slack channels, and finally asked a colleague who pointed her to a Google Doc shared in a thread six months ago. The policy existed. Finding it was the problem. This is the second edition of a
25 Internal Knowledge and Productivity Agent Patterns on AWS You Can Steal Right Now Read More »
A customer support team deployed a Bedrock-powered chatbot last quarter. It answered questions from a knowledge base, handled basic FAQs, and saved about 15 hours per week. Solid win. Then someone asked: “Can it also check order status, issue refunds, and escalate to the right team based on sentiment?” That question marks the exact boundary
Stop Designing AI Agents From Scratch. Steal These 25 Patterns Instead. Read More »
Every time someone opens TikTok, they think they’re browsing videos. They’re not. They’re submitting data points to a ranking system that has been learning their behavior since the first swipe. The videos are the output. The interesting part is what happens before you see them. How most people picture it The mental model most people
Nobody Tells You What’s Actually Inside TikTok’s Algorithm. Here It Is on AWS. Read More »
There is a common failure pattern in enterprise AI agents that goes largely unnoticed until it causes real problems. Ask an agent about project deadlines, and it retrieves every meeting from the past six months. The response is technically accurate. The deadline is in there somewhere, buried beneath dozens of irrelevant status updates from March.
Why Your AI Agent Remembers Everything But Understands Nothing Read More »
Twenty years ago AWS launched a service so simple they named it after the premise: just put a file in and get it back out. Today that service holds 500 trillion objects. The name never changed. The service became something else entirely. Most people are still using it like it’s 2006. Today that service holds
S3 Is Not One Service Anymore. Here’s What Changed. Read More »
