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Agentic Systems

4 videos · Oct 2026

What this trail covers

This post contributes to the understanding of agentic systems by detailing a performance review framework for AI agents. It moves beyond simple containment metrics to a seven-pillar scorecard that assesses configuration, runtime behavior, and governance. This framework scores 26 components, weighted by business impact, to provide a more accurate measure of agent performance, addressing issues like error tolerance, risk, compliance, drift, and hallucination. The work also highlights the importance of industry-specific targets and the ROI of AI agents.

All AI Engineer trails
  1. Decoupling the Brain from the Hands: Claude Managed Agents (Part 1 of 4) — AnthropicThis post details the architectural redesign of Claude Managed Agents, moving from a monolithic container to a decoupled system. The original architecture combined session, harness, and sandbox in a single 'pet' container, leading to debugging challenges and model-specific assumptions encoded in harnesses. The new architecture separates these into an append-only session log, a 'brain' (harness + Claude), and 'hands' (sandboxes + tools). This decoupling allows for replaceable components, injects credentials at an egress proxy (keeping them out of the sandbox), and reduces time-to-first-token. The core APIs and flow for a simple joke-teller agent are introduced, highlighting the benefits of this modular approach for agent development and maintenance.
  2. Auth for Agents: Let AI Sign Up for Your Product with auth.md — Michael Grinich, WorkOSThis post introduces `auth.md`, an open specification built on OAuth standards, designed to enable AI agents to autonomously register for services. It addresses the limitations of traditional human-centric signup flows (CAPTCHAs, manual form filling) that block agents. The `auth.md` file declares how an agent can prove its identity (e.g., via ID-JAG) and obtain temporary accounts, facilitating agent-driven tool selection and usage. A demo showcases an agent using `auth.md` to register with Cloudflare and deploy an application without human intervention, advocating for payment models that follow usage rather than upfront signup.
  3. Hiring Employable Agents + Startup Battlefield Finals — Howie Liu, HyperAgentThis talk details the evolution of agent product form factors, moving from simple completions to chatbots, then to always-on agents with heartbeats, and finally to agents that orchestrate other agents. It presents a real-world example of a landscaping business managed entirely by HyperAgent, featuring triage agents, surveyor agents, human approval steps, and agents that learn from feedback. The presentation also includes live pitches from three agent-native startups (Comment IO, Built by Foundry, Kamad) for a startup competition, showcasing practical applications and the competitive landscape of agent-based businesses.
  4. Containment Is Lying to You: Measuring AI Agents Like Employees — Druid AIThis post introduces a performance review framework for AI agents that goes beyond containment rate. It proposes a seven-pillar scorecard covering configuration, runtime, and governance, with 26 components scored and weighted by business impact. This framework aims to provide a more accurate measure of agent performance by considering factors like error tolerance, risk, compliance, drift, hallucination, tone, mandate, scope, business case, budget, platform, and outcome validation. It also discusses answering ROI questions and setting industry-specific targets.