Build a voice travel concierge with Amazon Bedrock AgentCore, Managed Knowledge Base and Nova Sonic
AWS shows how to build an airline voice concierge on Amazon Bedrock AgentCore.
#MCP/Tool Calling
AWS Machine Learning BlogAI Score2222
AWS Machine Learning BlogAI Score3434 Automate remediation post AWS DevOps Agent investigation
AWS shows how to automate remediation after an AWS DevOps Agent investigation using AWS Lambda Durable Functions.
AWS Machine Learning BlogAI Score2424 How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock
Cornerstone OnDemand built Orion AI, a multi-agent system on Amazon Bedrock and Strands Agents.
Hugging Face BlogFeaturedAI Score6969 Microsoft and Hugging Face release ThinkingBox, a benchmark that grades AI agents on backend state across 507 workflows
Microsoft and Hugging Face released ThinkingBox, an agent benchmark that grades terminal backend state and side effects rather than final responses or tool-call validity.
Why it matters: The paper's 20-run repeat metric and failure breakdown show why a clean tool-call trace can still leave the wrong database state.
Hugging Face BlogAI Score3434 ProvenanceGuard: Source-Aware Factuality Verification for MCP Agents
Hugging Face researchers propose ProvenanceGuard, a post-generation verification layer for black-box MCP agents that checks whether each claim is supported by the source the answer names.
Anthropic BlogAI Score3434 Agents you can coach: how Asana builds human-agent teams with Claude
Asana builds its AI agents on the Work Graph model, so agents take defined roles.
GitHub Blog · AI & MLAI Score3232 GitHub Copilot app for Beginners: How to build custom workflows with canvases
GitHub Copilot app's canvases are customizable, bidirectional interfaces you create by running the /create-canvas skill and describing the workflow in plain English. The agent builds the UI in the right-side panel, and both you and the agent can update its shared state at the same time. Canvases are saved as extensions for reuse or team sharing, and ready-made ones are available via Awesome Copilot.
Anthropic BlogFeaturedAI Score6262 Anthropic opens a directory submission portal for Claude plugins
Anthropic opened a directory submission portal for Claude plugins, which package MCP connectors.
Why it matters: Anthropic lays out the plugin packaging and submission path, so developers can see how a connector or skill becomes a listed extension.
GitHub Blog · AI & MLFeaturedAI Score6060 GitHub Security Lab ships Fuzzing Taskflow, an autonomous fuzzing pipeline for C/C++
GitHub Security Lab released the Fuzzing Taskflow, an autonomous fuzzing pipeline for C/C++ projects built on its Taskflow Agent framework. Pointed at a GitHub owner/repo slug.
Why it matters: The post details how the agent splits judgment from execution across MCP tools, useful for anyone building autonomous security pipelines.
GitHub Blog · AI & MLAI Score1212 Should you read the code, is RAG dead, and did Skills kill MCP?
A GitHub Podcast episode pushes back on five common AI hot takes: you still need to read AI-generated code.
Anthropic EngineeringFeaturedAI Score7171 Anthropic ships three advanced tool use features on the Claude Developer Platform
Anthropic released three beta features on the Claude Developer Platform: Tool Search Tool.
Why it matters: The post gives the token and accuracy numbers behind three tool-use features, so readers can judge which bottleneck in their own agent setup each one addresses.
Anthropic EngineeringFeaturedAI Score7171 Code execution with MCP: Building more efficient agents
Anthropic Engineering describes presenting MCP servers as code APIs instead of direct tool calls.
Why it matters: Anthropic's own walkthrough of turning MCP servers into code APIs, with the token math and the sandboxing tradeoff spelled out.
Anthropic EngineeringFeaturedAI Score7676 Anthropic introduces Agent Skills for Claude agents
Anthropic introduced Agent Skills, folders of instructions.
Why it matters: Anthropic's own account of how Agent Skills load context in layers, useful for anyone packaging agent expertise.