OpenTeams

Happening today at 1 pm ET.

Proving Model Provenance: EO 14365, NIST AI RMF, and Federal Audit Readiness.

Our own Chuck McAndrew + Carahsoft. Part of our ongoing federal series. CPE eligible.

Register and join → https://na2.hubs.ly/H05NpbJ0

Chuck McAndrew has a background that's hard to match. He came up through the US Marines, spent seven years doing infrastructure engineering in the public sector, and now leads infrastructure engineering at OpenTeams

He brings that same conviction to every engagement: technology exists to serve people, not the other way around.

On May 28th, he's leading our session on model provenance and federal audit readiness with Carahsoft.

If compliance and governance are on your plate, this one's for you.

Register → https://na2.hubs.ly/H05DSMW0

Running LLM agents locally gives teams more control over cost, data, and infrastructure.

But local ex*****on does not remove the hard parts of building reliable agents.

Adam Lewis, explored this by building a Harvest time-tracking agent with Pydantic AI, then switching the agent from Claude to a local model.

The experiment exposed a familiar AI challenge: a model can understand the request but still fail on the precise details that real workflows depend on.

This article shares what Adam learned about building agents that stay useful even when the model is imperfect. ➡️ https://na2.hubs.ly/H05Cwb00