Contributing Writer · AWS Agents
Kelvin Yu
Contributing Writer, Explore Agentic
Kelvin writes the AWS-native side of the agentic stack: Bedrock model choice, AgentCore Runtime and Gateway, IAM-fluent observability. He covers the platform decisions that determine whether an agent program scales past the first two use cases.
AWS BedrockAgentCoreAgent observability
By this contributor
Pieces written or reviewed by Kelvin
- Glossary · Written MCP Gateway
- Glossary · Written Agent observability
- Comparison · Written Glean vs ChatGPT vs Claude on enterprise search: auditing the '1.9× preferred' eval claim
- Insight · Reviewed AWS Bedrock Pricing for Agent Builders: What Your Agents Actually Cost in 2026
- Insight · Written Amazon S3 Vectors for Enterprise RAG: When the Cheapest Vector Store Is the Right One
- Insight · Reviewed SageMaker vs Bedrock in 2026: The Decision Framework for Agentic Workloads
- Insight · Reviewed LLM Observability Isn't Optional: What Technical Leaders Need to Build It Right
- Insight · Reviewed Prompt Versioning Done Right: Treating Prompts as Deployable Artifacts
- Insight · Written Claude for Enterprise: The Three Buying Paths (Anthropic API, Amazon Bedrock, Team/Enterprise Seats) and What Each Really Costs
- Insight · Reviewed Claude on Amazon Bedrock: The Token Economics of Agentic Workloads
- Insight · Reviewed The Claude Discount Nobody Quotes: How Enterprises Actually Cut Claude Spend
- Insight · Written Glean Skills and Adaptive Reasoning: is the "enterprise AI coworker" an agent runtime, a workflow runner, or a relabel?
- Insight · Written Glean year-zero cost: what a 500-seat deployment actually burns before the first renewal
- Insight · Written AWS AgentCore vs Azure AI Foundry: Lessons from Shipping MCP Servers and Agents on Both Clouds
- Insight · Written Enterprise AI Without the Security Compromise: A Framework for Governed AI Deployment
- Insight · Written Glean renewal checklist: five signals to renegotiate or leave before signing year two
- Insight · Reviewed When MCP Gateway Auth Breaks: Practical Patterns for a Developer-Friendly Experience
- Insight · Reviewed MCP Server Security: The Threat Model and a Hardening Checklist for Tool-Calling Agents
- Insight · Written Multi-Agent Orchestration Patterns: Supervisor, Swarm, and Pipeline
- Insight · Reviewed AI Agents for Insurance Eligibility Verification: What Clinics Can Automate Today — and What Still Needs a Human
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Other contributors
- Ryo HangEditor-in-Chief
- Alexander GromanContributing Writer
- Soraya ZhengContributing Writer
- Cynthia ZhangContributing Writer
- Tommy TaoContributing Writer
- Chandler BensonContributing Writer
- Elias SaljukiContributing Editor
- Ginny CasuccioContributing Editor
- Gloria Qian ZhangContributing Editor
- Laura Bradley McCoyContributing Writer
- Merve TengizContributing Editor
- Michael CloughEditorial Advisor