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Building the future of agentic infrastructure

Agents are moving from tools you prompt to infrastructure that runs your business. But what does it take to run them in production? Jess Yann (Product Manager, Claude Managed Agents), Katelyn Lesse (Head of Engineering, Claude Platform), and Angela Jiang (Head of Product, Claude Platform) discuss how teams are building agentic infrastructure, including identity, permissions, memory, and agent-to-agent communication. They also share how organizations should think about agentic ROI and designing human-agent teams that adapt to evolving model intelligence. Learn more about the Claude Platform: https://claude.com/platform/api 0:00 Intro 1:00 - Building Claude Managed Agents in production 2:15 - How agents talk to each other 3:00 - The future of agentic infrastructure: thinner harnesses and adversarial agent pairs 8:20 - Barriers to agentic adoption: security, compliance, and evals 9:15 - How to measure agent ROI 12:45 - Failure modes: hyper independence and sprawl 13:30 - The future: agents as an invisible substrate 15:15 - What's next for the Claude Platform

Jess YannhostKatelyn LessehostAngela Jianghost
Jul 10, 202616mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Claude team on managed agents, harness evolution, and adoption barriers

  1. Claude Platform has rapidly expanded from basic inference APIs to richer features that offload infrastructure and “harness engineering,” enabling production-grade Managed Agents.
  2. Agent identity and permissions are framed as an evolving layer where agents request scoped access, create service-account-like identities, and become auditable participants in workflows.
  3. Agents increasingly communicate via APIs (e.g., thin MCP servers) so that one agent can call another predictably, enabling composable multi-agent systems.
  4. Harnesses are trending thinner as models become more capable, shifting innovation toward composite strategies like best-of-N, advisor agents, and adversarial agent pairs.
  5. Enterprise adoption is constrained by security/compliance and evaluation practices, while ROI is best measured by staged productivity gains from individuals to teams to end-to-end processes.

IDEAS WORTH REMEMBERING

5 ideas

Managed Agents aim to remove infrastructure and harness complexity from teams.

The platform is positioned as moving beyond “tokens in/out” toward abstractions (memory, outcomes, iteration loops) that let teams ship agents without building fragile scaffolding themselves.

Agent identity will likely become a first-class security primitive.

Instead of implicit permissions, agents may request explicit access scopes (A/B/C not D), create their own service-account-like identities, and support auditing to build trust and governance.

Composable agents work best when they interact like services: through APIs.

Exposing an agent via an API (e.g., through a thin MCP server) lets other agents call it reliably, encouraging modular “agent microservices” rather than monolith workflows.

Better models shift control from rigid workflows to thinner harnesses.

As tool use and reasoning improve, teams can delete many step-by-step constraints and rely more on guardrails plus higher-level objectives, reducing brittleness and maintenance burden.

Next-gen harness innovation is about meta-strategies, not more rules.

They highlight patterns like best-of-N exploration, adversarial critique pairs, and “advisor/call-a-friend” escalation—architectures that improve quality without over-prescribing each step.

WORDS WORTH SAVING

5 quotes

I see harnesses actually getting thinner and thinner over time.

Angela Jiang

I think agent identity will actually probably need to be almost somewhat separate, like almost the agent needs to have its own identity.

Angela Jiang

I do think it does create a sense of like hyper independence in a way that is maybe slightly false.

Angela Jiang

I think in the future it'll be closer to like maybe there's some common substrate where we all kind of engage... and it just does a lot of like work by itself invisibly.

Angela Jiang

I think as we evolve that concept, we'll probably get closer and closer to a world where you're talking to Claude and you're saying, "I want this outcome and here's a budget. Go."

Katelyn Lesse

Claude Managed Agents (memory, outcomes, “dreaming”)Agent identity, permissions, and auditabilityAgent-to-agent communication via APIs and MCP serversThinner harnesses and composite multi-agent strategiesInfrastructure enabling long-running/ambient agentsAdoption barriers: security, compliance, evalsMeasuring ROI: individual → team → cross-company workflows; speed as leading metric

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