Listen to our very own @swaritjoshipura describe why a production agent is DOA if it lives inside a single or limited number of tools, and why Resolve queries your stack live at runtime instead of ingesting it.
Evals. Evals. Evals. Hillclimb. Hillclimb. Hillclimb.
-Dhruv Mahajan, Chief AI Scientist at Resolve AI
Don't fall for the 80% trap. With a production agent, the hard part is the last 20%. You need a loop to keep those models improving, and that loop requires evals built against
What does it take to let an agent take action in production?
Listen as Claire articulates the significance of guardrails and governance for agents -- especially those like Resolve that are taking actions in prod.
