Evaluating Claude Agents Without Trusting the Demo
A finance team pilots a Claude agent that categorizes employee expenses and recommends which claims deserve a closer look. In the demonstration,…
Read articleCLOUD & ARTIFICIAL INTELLIGENCE
Cloud & AI
Understand cloud architecture, Amazon AWS, Microsoft Azure, Google Cloud and emerging AI applications.
Cloud computing is a set of engineering decisions, not just a list of products to memorize. Choosing an architecture means understanding resilience, identity, networks, costs and the operational trade-offs behind managed services. Artificial intelligence makes those decisions more consequential: evaluation, context, reliability and security matter at least as much as model choice.
For candidates, Amazon AWS provides a broad set of certification tracks, including AWS Solutions Architect – Associate (SAA-C03). Microsoft Azure Administrator (AZ-104) emphasizes operational responsibilities, while Azure AI Fundamentals (AI-901) focuses on implementing AI solutions with Microsoft Foundry. Explore the concepts first, then examine the qualification that actually matches the work you intend to do.
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Choosing the Right Claude Architecture
A team wants Claude to help investigate enterprise access requests. At first, the assistant only summarizes a completed request. Soon the team…
Read articleContext Engineering for Reliable Claude Systems
A support agent investigates a recurring shipment problem over several days. On Monday it learns that a warehouse transfer caused a delay.…
Read articleStructured Outputs That Hold Up in Claude Applications
An operations team wants to extract payment terms from thousands of supplier contracts. A prototype returns plausible summaries, but the production system…
Read articleClaude Code Workflows That Survive Review
Give Claude Code a usable repository map, scoped rules, appropriate permissions and a verification trail before trusting it with consequential code changes.…
Read articleWhen Claude Tools Fail: Recovery Without Repeated Actions
Timeouts, invalid inputs and denied actions require different responses. The architecture must distinguish recoverable failures from unknown side effects and preserve evidence…
Read articleMCP Tool Design for Dependable Claude Agents
A good MCP interface reduces guessing: discoverable capabilities, constrained schemas, meaningful result types and permissions enforced beyond the prompt. On this page…
Read articleOrchestrating Claude Subagents Without Losing Control
Independent workers can isolate evidence and speed up research, but only a coordinator with explicit handoffs, dependency rules and review gates can…
Read articleDesigning Reliable Claude Agents for CCAR-F
An agent should be able to act, inspect evidence and adapt—but those abilities need enforceable limits. This is how to choose the…
Read articleAzure Resource Graph for Governance
Azure governance becomes difficult when the question changes from “What is in this subscription?” to “What exists across hundreds of subscriptions, who…
Read articleAzure Policy Inheritance Explained
Azure Policy becomes much easier to reason about when you start with scope. A policy or initiative assignment applies at a scope…
Read articleAzure Management Groups at Scale
Azure management groups are the governance layer above subscriptions. They let an organization apply Azure Policy and Azure RBAC to multiple subscriptions…
Read articleFURTHER EXPLORATION
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