4 primitives for an agent that runs on-call and improves reliability

Thu, Nov 1911:00 AM PST, 30 min

Imagine you are never on call. An agent you trust holds the critical path: it takes the page, investigates, acts in production, and fixes the root problems behind repeat alerts and incidents. Trusting it with that work comes down to four primitives: context, quality, guardrails, and economics.

Join Steven Karis, Chief Architect at ResolveAI, on how to build each primitive into agents that own on-call rotations and improve reliability autonomously.

Featuring

Steven Karis

Chief Architect at ResolveAI

In this session, you will learn how to:

Ground agents in live production
Make sure your agent knows what’s happening in the system right now
Build investigations you can rely on
Get accurate answers on every alert and measure quality with evals built from real production incidents
Decide when an agent is ready to act
Define autonomy based on the agent’s track record that lets an agent take action in production on your behalf
Keep costs in check
Manage spend as alert volume grows, and reduce repeat alerts over time

4 primitives for an agent that runs on-call and improves reliability

Featuring

In this session, you will learn how to:

Ground agents in live production

Build investigations you can rely on

Decide when an agent is ready to act

Keep costs in check

4 primitives for an agent that runs on-call and improves reliability

Featuring

In this session, you will learn how to:

Ground agents in live production

Build investigations you can rely on

Decide when an agent is ready to act

Keep costs in check