Evaluating AI Agents: A production blueprint with Strands and AgentCore

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Motorway worked with AWS Prototyping and AI Customer Engineering (PACE) to build an AI-powered dealer stock search agent that transforms how dealers find vehicles, replacing hours of manual filtering with natural language queries... The challenge The agent gives a confident-sounding response, but how do you prove it works reliably with real money on the line? Tool selection errors cause wro...

Building trade assistant: How Jefferies optimized front office trading operations with AI

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If you manage a front office trading desk at investment banks, you know the challenge: traders need real-time insights into client behavior, trade patterns, and market trends from vast amounts of data to make split-second decisions... Traditional approaches force traders to rely on subject matter experts for analysis and collaborate with IT teams to build custom dashboards... By building an agenti...

Building multi-Region visualizations with Highcharts in Amazon Quick

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When your carrier performance data spans multiple regions, your dashboard must reconcile fundamentally different competitive structures within a single view... For example, in the US, you rank three carriers (Carrier 1–3) across 49 states and hundreds of metro markets... In the UK, you’re comparing four carriers (Carrier 4–7) across a separate set of national regions... The differences in c...

Enterprise security at machine speed: AWS Black Hat 2026 preview

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Black Hat 2026 (Aug 1-6, 2026) brings together over 22,000 security practitioners, researchers, and CISOs who build, break, and defend enterprise infrastructure... They’re security professionals who push the limits of offensive and defensive security and demand proof over promises... As frontier security models like Mythos reshape the enterprise landscape, they need security that operates at t...

Game integrity and cheat detection using AWS Game Analytics Pipeline, Amazon Quick, and Kiro agentic IDE

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Walkthrough overview This guide extends the Game Analytics Pipeline with cheat detection capabilities across four phases: Data collection – Enrich game events with integrity metrics using a modified handler... The following diagram shows the four-phase flow from event generation through analysis... Game events flow from handler...py script (available in the GitHub repository) that genera...

Oil Refiners Catch Fire as Iran Conflict Drags Nuclear Sector Lower

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The war with Iran is bad news for the global economy, but it’s lifting the fortunes of most energy stocks, led by oil refiners, according to a set of ETFs... At the same time, some corners of energy have taken a hit — the nuclear power industry is the major downside outlier since the conflict began on Feb...The benchmark for energy stocks is the Big Oil sector, proxied by the State Street En...

Building a serverless AI assistant at Pelago: concept to care in two weeks

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Each message a coach sends needs to reflect weeks of prior context and drafting that response manually from scratch takes time the care team doesn’t always have... An AI assistant that only understands the most recent messages isn’t useful here – it must grasp the full long-term conversation history... Care team members need information the moment they open a conversation but generating rel...