Below are our latest videos, you can find more great content on our YouTube Channel
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How to Put Amazon Q or Any Agentic Coding on Steroids with MCPs
Amazon Q is powerful out of the box, but in the terminal it becomes a superpower. In this talk, I share how I turned Amazon Q CLI into a fully-fledged, verification‑first AI platform using the Model Context Protocol (MCP) all without adding $0 extra cost.
I’ll walk through how I built 49 MCP servers to remove hallucinations, browser automation with Playwright, and live AWS verification that eliminates hallucinations in practice.
You’ll see Financial Services Institution grade guardrails (production protection, cost controls, and full audit trails) that makes Q feel native to a builder’s workflow, secure and reliable. You’ll leave with a blueprint to extend Amazon Q/ any agentic coding beyond chat into a trusted, terminal‑first, agentic platform you own and can evolve infinitely.
I’ll walk through how I built 49 MCP servers to remove hallucinations, browser automation with Playwright, and live AWS verification that eliminates hallucinations in practice.
You’ll see Financial Services Institution grade guardrails (production protection, cost controls, and full audit trails) that makes Q feel native to a builder’s workflow, secure and reliable. You’ll leave with a blueprint to extend Amazon Q/ any agentic coding beyond chat into a trusted, terminal‑first, agentic platform you own and can evolve infinitely.
Using AI to Help Process Documents in Insurance
The insurance industry has billions of historical documents; with hundreds of thousands more being generated every day. The documents, in varying formats are used both internally and with other insurers to agree terms, assess risk and create accurate quotes. Historically each document can take a few hours or even days to manually process and needs to be loaded into each company’s systems.
AI is helping several companies to reduce this processing time to minutes by automating the process using Intelligent Document Processing (IDP), saving time, increasing the accuracy, and readying the data for further analysis – giving valuable insights back to the business. IDP uses the latest AI services; Amazon’s Bedrock, Textract to extract text, Amazon Comprehend to classify and detect entries in the documents and custom models with labelled grown truth in SageMaker. This architecture will look at these services alongside the pre-processing, processing, and post processing challenges and showcase how to jointly leverage these services for the best success.
Using IDP, one customer achieved an accuracy of 90%+ and a more than 500x reduction in processing time across over £500 million worth of business
AI is helping several companies to reduce this processing time to minutes by automating the process using Intelligent Document Processing (IDP), saving time, increasing the accuracy, and readying the data for further analysis – giving valuable insights back to the business. IDP uses the latest AI services; Amazon’s Bedrock, Textract to extract text, Amazon Comprehend to classify and detect entries in the documents and custom models with labelled grown truth in SageMaker. This architecture will look at these services alongside the pre-processing, processing, and post processing challenges and showcase how to jointly leverage these services for the best success.
Using IDP, one customer achieved an accuracy of 90%+ and a more than 500x reduction in processing time across over £500 million worth of business
A Hitchhiker’s Guide to Nitro
A large range of EC2 instance families and AWS services make use of AWS’ custom-built hypervisor, AWS Nitro. Learn what it is, how we ended up there and what advantages it has for your workloads in this whistle stop tour, featuring special guests, such as dom0
Advanced Event-Driven Patterns with Amazon EventBridge
Asynchronous communication and event-driven architecture are core to building distributed applications. Amazon EventBridge, a fully-managed serverless event bus, enables coordinating distributed and loosely coupled microservices to accomplish business functionality.
In this session, understand the characteristics of EventBridge and how it plays a pivotal role in serverless architectures. Learn the primary elements of event-driven architecture and some of the best practices.
With real-world use cases, explore how the features of EventBridge support implementing advanced architectural patterns in serverless.
In this session, understand the characteristics of EventBridge and how it plays a pivotal role in serverless architectures. Learn the primary elements of event-driven architecture and some of the best practices.
With real-world use cases, explore how the features of EventBridge support implementing advanced architectural patterns in serverless.
My AI Coding Partner: Building the London Improv Calendar on AWS
What happens when you treat AI like a coding partner? In this talk, I’ll share how I used AI tools to build the London Improv Calendar – a fully serverless application on AWS (Lambda, DynamoDB, API Gateway, and more).
This isn’t theory; it’s a practical, in-the-trenches account of working with AI as a solo engineer. We’ll cover what worked well, what fell flat, and where AI truly accelerated development.
If you’re curious about pairing AI with serverless, or just want some real-world lessons you can apply to your own projects, this session is for you.
This isn’t theory; it’s a practical, in-the-trenches account of working with AI as a solo engineer. We’ll cover what worked well, what fell flat, and where AI truly accelerated development.
If you’re curious about pairing AI with serverless, or just want some real-world lessons you can apply to your own projects, this session is for you.
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