Resources
Handpicked content from voices we trust in the enterprise AI space.
API Experience Podcast
Hosts Matt McLarty and Mike Amundsen take a look across the digital landscape and identify key focus areas that are currently impacting the world of APIs, Integration, and Business.
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Building Effective Agents
Anthropic's practical guide to building LLM agents. Explores composable patterns from simple workflows to autonomous agents — emphasizing that the most successful implementations avoid complex frameworks in favor of simple, well-understood building blocks.
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Writing Effective Tools for Agents
A practical guide to designing high-quality tools for AI agents. Covers how to build prototypes, run evaluations, and iteratively improve tools through agent collaboration — with key principles on token efficiency, tool selection, and effective descriptions.
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OAuth Delegation and 'On Behalf Of' for AI Agents
Unpacks where traditional OAuth fits and where it breaks down when AI agents enter the picture. Covers authorization, impersonation, delegation, and accountability in agentic systems.
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MCP Servers in Enterprise Should Be Remote
Makes the case against stdio-based MCP servers in enterprise environments. Explains why remote MCP servers are essential for security, governance, and scaling AI connectivity.
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API Keys Are a Bad Idea for Enterprise Agent Access
Explains why API keys fall short for securing enterprise LLM, agent, and MCP access — and what identity-aware alternatives enterprises should adopt instead.
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Understanding Sessions in Agent-to-Agent Communication
Digs into how sessions work in A2A and MCP scenarios — covering stateful interactions, session chaining, and the open questions enterprises face when agents talk to agents.
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Enterprise Challenges With MCP Adoption
Surveys the key challenges enterprises face adopting MCP — from governance and security to figuring out whether to build MCP servers alongside or instead of traditional APIs.
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Agent Discovery, Naming, and Resolution with A2A
Explores the missing infrastructure pieces for dynamic agent ecosystems — discovery, naming, and resolution — that the A2A specification intentionally leaves up to implementors.
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