Blog

Detecting silent agent failures with Amazon Bedrock AgentCore optimization

Detecting silent agent failures with Amazon Bedrock AgentCore optimization

If you’re operating AI agents at scale, Amazon Bedrock AgentCore surfaces a category of insights you’ve probably experienced but struggle to detect: your dashboards show green across the board. 99% completion rate, healthy latency, zero error spikes. And yet customer complaints trickle in about incorrect outcomes. An order modification that was never actually executed. A […]

Detecting silent agent failures with Amazon Bedrock AgentCore optimization Read More »

Agentic retrieval for Amazon Bedrock Managed Knowledge Base

Agentic retrieval for Amazon Bedrock Managed Knowledge Base

Your users ask multi-part, comparative, and exploratory questions that span PDFs, slides, tickets, transcripts, and web content. Classic single-shot retrieval breaks down on these questions. Answers miss context, support tickets escalate, and analysts waste hours re-running searches. Agentic retrieval for Amazon Bedrock Managed Knowledge Bases is designed for these questions. Consider two questions an analyst

Agentic retrieval for Amazon Bedrock Managed Knowledge Base Read More »

AI Teammates: how monday.com runs production AI agents on Amazon Bedrock

AI Teammates: how monday.com runs production AI agents on Amazon Bedrock

AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday.com does. Nine in ten Builders use AI coding tools every month, up from roughly half a year ago. Per-engineer PR throughput is up by more than half. Every figure in this post comes from

AI Teammates: how monday.com runs production AI agents on Amazon Bedrock Read More »

Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova

Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova

When you fine-tune a model using Supervised Fine-Tuning (SFT), creating high-quality chain-of-thought (CoT) reasoning traces for your training data is often impractical and can be prohibitively expensive. As a result, you might choose to skip reasoning during SFT and train with only inputs and outputs. However, reasoning is a key capability of the Amazon Nova

Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova Read More »

Custom OS installation now available on AWS DeepRacer devices

Custom OS installation now available on AWS DeepRacer devices

With the stock firmware and software, developers couldn’t modify their AWS DeepRacer devices to use the latest operating systems. Now, developers can upgrade or install a custom operating system (OS) by using a newly released bootloader, which extends the life of these hardware devices. AWS DeepRacer devices are fully autonomous 1/18th scale race cars driven

Custom OS installation now available on AWS DeepRacer devices Read More »

Build specialized agent workflows for your business with Amazon Quick and NVIDIA NeMo Agent Toolkit

Build specialized agent workflows for your business with Amazon Quick and NVIDIA NeMo Agent Toolkit

Fast-growing companies and enterprise supply-chain teams often have enough data to see that something is wrong, but not enough time to manually investigate every disruption. A supplier delay can require a planner to check purchase orders, inventory, customer commitments, contract rules, logistics options, and approval policies before deciding what to do next. Dashboards help teams

Build specialized agent workflows for your business with Amazon Quick and NVIDIA NeMo Agent Toolkit Read More »

How Couchbase built a multi-model AI architecture for Capella iQ with Amazon Bedrock

How Couchbase built a multi-model AI architecture for Capella iQ with Amazon Bedrock

This post is co-written with Tushar Madaan from Couchbase. Building an AI-powered developer assistant that can generate database queries, recommend indexes, and support multi-turn conversational workflows requires more than a single large language model (LLM). It demands an inference architecture that is flexible, scalable, and resilient. As enterprise adoption of Capella iQ grew, Couchbase expanded

How Couchbase built a multi-model AI architecture for Capella iQ with Amazon Bedrock Read More »

Evolving from legacy BI to agentic AI at Tradeshift with Amazon Quick

Evolving from legacy BI to agentic AI at Tradeshift with Amazon Quick

This guest post is co-written by Raphael Bres, Robert Iordache, Anca Andone, Ioana Millon (Ploesteanu) of Tradeshift and Roy Yung of AWS Tradeshift is an AI-powered accounts payable (AP) and e-Invoicing compliance platform serving buyers and sellers in more than 70 countries, with a cloud-based network that processes millions of transactions. We serve both sides

Evolving from legacy BI to agentic AI at Tradeshift with Amazon Quick Read More »

Transform your sales organization with Amazon Quick: your new agentic AI teammate

Transform your sales organization with Amazon Quick: your new agentic AI teammate

The average sales rep spends only 40% of their time actually selling. The rest is eaten up by necessary, but lower-value work: customer relationship management (CRM) updates, prospect research, email drafting, and endless context-switching between tools. Before you know it, the day has passed and you’ve spent only a small fraction of your time on

Transform your sales organization with Amazon Quick: your new agentic AI teammate Read More »

Scroll to Top