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16 articles in Explainer · Page 1 of 1
What Good AI Delivery Evidence Looks Like in a Case Study
A credible AI case study shows the baseline, timeframe, sample, failures and client-approved outcomes—not just a compelling result or model claim.
Why Search Console Clicks and GA4 Visits Disagree
Search Console clicks and GA4 visits measure different things. Align properties, dates, filters, tags and consent before treating the gap as a tracking defect.
Who Owns an AI Agent After Launch?
An AI agent needs a named business owner and operational owners after launch. Use this practical framework to assign decisions, incidents and ongoing work.
How Many Test Cases Are Enough for an AI Model Comparison?
There is no universal test-set size. Choose cases by decision risk, task coverage and the uncertainty your comparison can tolerate.
AgentCore Browser and Code Execution: Designing Safe Boundaries
A practical AWS reference design for sandboxing agent browsers and code, limiting credentials and network access, and handling artifacts safely.
Prompt Injection in Browser Workflows: Treat Web Pages as Untrusted
Browser agents must read web pages without letting page text control their authority. Learn how to separate untrusted content from approved actions.
A Semantic Layer for Agents: Keep Business Metrics Consistent
A semantic layer makes agent answers more consistent by defining business metrics, query boundaries and access checks before a question reaches the warehouse.
Agent Memory on AWS: Retention, Retrieval and Tenant Boundaries
A practical AWS reference design for separating agent conversation history, operational state and long-term memory—with clear retention and tenant boundaries.
Pass@1 vs Best-of-N: Which AI Benchmark Matches Your Workflow?
Pass@1 vs Best-of-N: Which AI Benchmark Matches Your Workflow?. Practical examples, tradeoffs and implementation guidance for technology leaders.
Why Long-Running Agents Lose Their Place—and How to Resume Them
Long-running agents lose their place when conversation history stands in for operational state. Learn how to checkpoint, hand off and resume safely.
Private Networking for Foundry Agents: Inbound Is Only Half the Design
A private endpoint protects the path into an agent service, not the path out. Design and test both directions, tool routes, DNS, and failure behavior.
Same Model, Different Harness: Why Benchmark Results Change
A controlled protocol for separating model effects from harness effects, with a reproducible task specification, run design and decision worksheet.
What Is an Agentic Browser? From Page Reading to Business Actions
An agentic browser reads a page, chooses an action, and checks the result. Learn where this approach fits, how to bound it, and what to verify.
Amazon Bedrock AgentCore: Who Owns Each Layer of the Stack?
A practical ownership model for Amazon Bedrock AgentCore: separate runtime, identity, business authorization, integrations, state and operations.
What Does “Anthropic Partner” Actually Mean?
An Anthropic partnership claim, an individual certification and API use are different evidence. Learn what each can establish—and how to assess its relevance.
What Is an AI Harness? Examples from Codex, Claude Code and Deep Agents
Understand AI harnesses: the execution loop, tools, context, state and controls around a model, with Codex, Claude Code and Deep Agents examples.