🎬 Also available as a blog walkthrough video: a narrated screencast of this post. TL;DR: Vector search is easy to picture on a whiteboard: turn text into a list of numbers, then find the stored items …
AmazonBedrock
22 posts tagged AmazonBedrock · all tags
2026
Vector Search, From the Whiteboard to the Cloud
Agent Memory Is a Spectrum, Not a Switch
🎬 Also available as a blog walkthrough video: a narrated screencast of this post. TL;DR: “My agent keeps forgetting things” is usually not a model problem. It’s a memory-architecture problem. Agent me…
I Rebuilt a Browser Fact-Checker on AWS, and AgentCore Web Search Was the Missing Piece
🎬 Also available as a blog walkthrough video if you’d rather watch than read. TL;DR: I came across an open-source browser extension that fact-checks videos and live streams in real time, and I wanted …
Give Every Agent Its Own Computer: AWS Lambda MicroVMs
🎬 Also available as a blog walkthrough video where I walk through the post and the demo. TL;DR: AWS Lambda MicroVMs (launched 22 June 2026) gives every user, job, or AI agent its own isolated, statefu…
Getting Paid by Agents: A Managed Paywall at the Edge
🎬 Also available as a blog walkthrough video with a narrated tour of the build. TL;DR: In Part 2 I built the buy side: an agent that autonomously pays per article over x402 with Amazon Bedrock AgentCo…
Your Voice Clone Is Only as Good as the Reference Clip
🎬 Also available as a blog walkthrough video with narrated diagrams. TL;DR: A voice clone inherits the cadence, pitch, and timbre of its reference clip, so the single biggest lever on clone quality is…
MCP Strategies on AWS, Part 2: Tool Design in Code
TL;DR: The AWS Prescriptive Guidance paper on MCP gives the most useful, checkable rules in its tool-design section, so I wrote code to test them. A token-tax counter on a realistic 20-tool GitHub ser…
MCP Strategies on AWS, Part 1: Reading the Whole Guide
🎬 Also available as a blog walkthrough video with narrated diagrams. TL;DR: AWS published a Prescriptive Guidance paper, “Model Context Protocol strategies on AWS,” that organizes MCP into three pilla…
Claude Fable 5 on Bedrock: A Hands-On Comparison, and the Data-Retention Switch You Set First
TL;DR: Claude Fable 5 went GA on Amazon Bedrock yesterday (June 9, 2026), so within a day I ran it head-to-head against Opus 4.8 and Sonnet 4.6 (all three EU-resident in Frankfurt) on a document-recon…
Why Your Cheapest Model Should Write the Harness
TL;DR: A May 2026 paper separates two capabilities that self-improving agents usually conflate: writing harness updates and benefiting from them. Writing is flat across model tiers: a 9B open model pr…
I Built the Agent That Pays — Here's What I Learned
TL;DR: A couple of weeks ago I wrote about HTTP 402 and why AI agents might finally activate the internet’s oldest unused status code. The post sparked a real discussion, so I built it: a research age…
Welcome to the Family: I Sat GPT-5.5 and Claude Opus Down on Bedrock
TL;DR: OpenAI’s GPT-5.5, GPT-5.4, and Codex went GA on Amazon Bedrock on June 1, 2026. To get a feel for it, I wired up two Strands agents — Claude Opus 4.8 and GPT-5.5 — and let them chat, with Opus …
The Service Catalog Pattern for AI Agents
TL;DR: AI agents face the same discovery problem microservices solved with service registries a decade ago, except agents need semantic search, governance workflows, and dynamic capability updates. AW…
Your AI Judge Needs a Judge
TL;DR: Most teams ship LLM judges without testing them against human labels. The result: judges that are confidently, consistently wrong on 30%+ of cases. Hamel Husain’s “critique shadowing” methodolo…
8 AWS Guides for Agentic AI — Mapped to the 4 Pillars That Get You to Production
The Gap Between Demo and Deployment TL;DR: AWS released 8 prescriptive guides for building production-ready agentic AI. This post maps each guide to the four pillars that get agents from demo to deplo…
Intelligence Is About Time, Not Parameters
The Question Every SA Gets Beyond a complexity threshold, larger models become less insightful — the savant regime. “Which model should I use?” I hear it in almost every customer conversation about ge…
Hackathon Gamification: A Real-Time Leaderboard You Can Deploy in 5 Minutes
Lisbon, 6 AM, Rising Sun Lisbon at dawn — the best way to start a hackathon day Three days in Lisbon. Not for sightseeing, though the city makes that hard to resist. I’m here for an AI hackathon — tea…
The Agent Security Stack Nobody Is Building
The Scenario Nobody Planned For It’s 11 PM. Your customer support agent, the AI one, is processing a refund request. It queries the order database, pulls the customer’s payment history, and calls the …
Building Agents That Read the Web Right
The Other Side of the Coin In a recent article, I made my website AI-agent friendly [1], adding llms.txt, Markdown output, and content negotiation to a Hugo site on AWS. That article was about the pro…
Is RAG Still Needed with 1M+ Token Context Windows?
The Kofferklausur, Revisited In September 2024, a colleague asked an audience: “What is RAG?” I answered: Kofferklausur [1]. For non-German speakers: a Kofferklausur is an open-book exam. You bring yo…
When Thinking Twice Helps — And When It Doesn't
The Saturday Morning Experiment Last Saturday, I installed a Python library, pointed it at Amazon Bedrock, and asked a model the same questions three times, with zero, one, and three rounds of self-re…
Your AI Models Have an Expiry Date — A Practical Guide to Model Lifecycle Management
Introduction — The Promise I Made In my previous article [1], I explored the maintenance trap in IT — how software systems are more like plants than stones, requiring constant care. I ended with a cli…