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Building Agents with Claude: Tools, Reasoning, and the MCP Standard

If you are new to the AI space, the term 'agent' can sound intimidating. In reality, an AI agent is...

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Building Agents with Claude: Tools, Reasoning, and the MCP Standard

Anthropic introduces Claude agents with MCP standard for tool integration, a model-first approach versus competitors. For IT teams, MCP reduces integration debt and lock-in, enabling reusable frameworks—critical for controlling AI costs and scaling automation.

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I use Anthropic's Claude AI tools for very different jobs: How to pick between models, Code, and Cowork

Anthropic's Claude spans chatbot (Claude.ai) and two agentic tools (Code, Cowork) across five models; Fable/Mythos faced US government ban for security risks. Model selection directly affects deployment cost, performance ceiling, and compliance constraints in enterprise AI stacks.

Building Agents with Claude: Tools, Reasoning, and the MCP Standard

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Building Agents with Claude: Tools, Reasoning, and the MCP Standard

I use Anthropic's Claude AI tools for very different jobs: How to pick between models, Code, and Cowork

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AgentScaffold: Memory, Peer Review, and Continuous Improvement for AI Coding Agents

I use Anthropic's Claude AI tools for very different jobs: How to pick between models, Code, and Cowork

Beyond The Single-Agent Ceiling: Scale Out With MCP Agent Teams

Building Agents with Claude: Tools, Reasoning, and the MCP Standard