Prepare your app for AI agents.
A masterclass to building secure, scalable infrastructure for AI agents. From agent development to MCP and beyond.
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> EPISODES
RAG workflows & agent development with Langflow
Learn the key best practices for building AI-powered agents. This session covers managing memory and tools, debugging behavior, and designing systems that are both reliable and adaptable.
Auto-generating an MCP server & client with Stainless
In the past, users were limited to what SaaS apps exposed through their dashboards - uploading CSVs, manually provisioning resources, toggling features in the UI, and so on. MCP shifts this model by letting AI agents handle tasks directly, but for it to work, APIs must be intentionally crafted to be AI-accessible.
> COMING SOON
Deploying remote MCP at the edge with Cloudflare
Learn how to deploy remote MCP servers at the edge so LLM agents can call structured, authenticated tools in real time. See a live demo of a tennis court booking agent with practical tips for designing fast and secure agent tools.
Identity, auth + consent for agents with Stytch
AI agents break the assumption that a human is always at the device to log in. This session covers trust models, OAuth delegation, consent flows, and new identity primitives to keep agent-initiated actions safe and transparent.
Tool calling, orchestration, and agent development with Arcade
LLMs need more than intelligence. They need tools to connect that intelligence to real-world systems. This session explores tool-calling, showing a live step-by-step example of evolving a basic chatbot into a powerful multi-agent system.
Observability & SLOs with AI agent workloads with Honeycomb
Observability, distributed tracing, and SLOs are essential for running AI agents in production. In this session, you’ll see the inside of an AI agent through tracing and learn techniques for improving reliability and UX through LLM evaluation and instrumentation with OpenTelemetry
AI agent fraud and threat prevention with Stytch
AI agents are reshaping the threat landscape. Watch a live demo of an emerging AI-powered attack and learn how modern detection and enforcement can block malicious agents while keeping trusted users and agents operating smoothly.
Evolving architectures for AI agents with Anthropic, Cloudflare, Stytch, and Arcade
This panel dives into how AI agents are used in practice, the evolving architectures that secure these agentic interactions, and the latest MCP developments for multi-agent coordination. Get practical examples, common pitfalls to avoid, and concrete next steps to prepare for what’s ahead.
