Meet Smith, Guild's meta-agent for platform setup. Describe what you want to automate, and Smith builds the agent, workspace, triggers, and integrations — all governed by the same identity model and audit trail as the rest of Guild.
Import, control, and scale adoption for all your agents in one place.
The first single view of how your AI agents consume resources, drive usage, and incur costs
The build vs buy conversation isn't new, but agent sprawl has changed the equation for agent infrastructure. Read on for a practical discussion of the AI run and control layer and when you should build or buy.
Native Teams CTO Dimitris Kountanis worked through a month of automation backlog in late evenings and ended up with roughly twenty governed agents covering most of his engineering lifecycle. Here is what changed the economics.
Teams embed WorkOS FGA, OPA, or Oso and assume agent permissions are solved. That's one layer. Who governs your agents' credentials, spend, and audit trail across systems?
When technology stops being seen as magical, it starts becoming practical. Now it's AI's turn.
Review the state of agent governance in 2026 and how current infrastructures are evolving to make agents more responsible at scale.
Find out what AI observability is and why it won't fill your AI governance gap.
The enterprise non-human-identity-to-human ratio hit 144:1 this year. RBAC was built for the 1.
Val Bays shares what inspired her about Guild and why she chose to go all in on agent control planes.
Dive deep into Guild Insights Dashboard and find out how it's being used to help teams audit, identify, and control agent spend faster.
Ben Oren shares his thoughts on the future of AI and why he thinks Guild is building the right foundation to support it.
Guild.ai as reached a stage where scaling thoughtfully requires dedicated executive leadership focused on people, culture, and talent. We believe JR is the right person to lead that work.
Visibility isn't governance. A field guide to four "AI agent governance platforms" in 2026 — and how to choose the right one for your ecosystem.
Guild CEO James Everingham on why agents need the same governance as employees — different policies for different teams, cost controls that actually work, and a control plane modeled on operating system design.
A look at how we use Guild at Guild.
Two independent research groups set out to solve the same problem — governing AI agents at runtime. Both arrived at the same architecture. Here's what they found and what it means for engineering teams.
Learn how to get the most out of Guild's agent control plane right from the source.
Production agent reliability is an AI agent infrastructure problem—and the four pillars that solve it live outside the agent itself.
Frameworks build the agent. Models power it. Neither one decides whether your agents survive contact with production.
Your agents are only as useful as the tools they can reach. Here's how Guild makes every integration — pre-built, custom, or anything in between — a first-class citizen on the control plane.
