Ship Quality AI Agents with Agent Bricks — Practical Guidance from Databricks and OpenAI

What this post covers:

This is a short briefing on an upcoming virtual event about building production-ready AI agents.

The event focuses on ensuring *agent quality* from development to continuous improvement.

Why this matters to you:

• You want agents that respect your enterprise data and business goals.
• You need pragmatic steps to move from prototype to production faster.
• You care about maintaining and improving agent performance over time.

Start with a practical scenario

Imagine a support agent that answers regulatory questions using your internal policies and recent case histories.

The agent improves continuously as new tickets arrive.

You can measure improvements in accuracy and compliance month over month.

Core concepts and why quality matters

Agent quality begins with clear objectives.

That means aligning reward signals to business KPIs and data governance requirements.

Agent Bricks is designed to optimize agents on enterprise data and goals.

Databricks and OpenAI present practical methods to elevate quality and operationalize agents.

Brief background and expert voices

The virtual event features Ali Ghodsi from Databricks and Sam Altman from OpenAI in a prerecorded session.

You also hear from CTOs and researchers who work with agents in production.

Those voices provide operational lessons, not just theory.

What to expect and practical examples

You will learn how to build agents optimized on enterprise data.

You will see approaches for continuous evaluation and improvement.

Think of it like deploying a software service with monitoring, retraining, and safety gates.

One practical case: a health-tech CTO describing how agents kept clinical responses within compliance while reducing response time.

Where to learn more

Attend the virtual event to hear the step-by-step guidance from Databricks and OpenAI.

Register or view details here: https://www.databricks.com/resources/webinar/build-ai-agents-that-work

Forward-looking perspective

Quality will determine which agents scale in enterprise settings.

We should treat agents as long-lived systems that require measurement and governance.

Events like this help bridge research and production practice.

If you manage AI strategy, this is a useful, time-efficient way to get actionable techniques and expert judgment.

Speaker highlights and schedule:

• Ali Ghodsi, Co-founder and CEO, Databricks.
• Sam Altman, Co-founder and CEO, OpenAI.
• Additional speakers from Databricks and industry practitioners.
• AMER: Nov 11, 9:00 AM PST.
• APJ: Nov 12, 12:00 PM SGT.
• EMEA: Nov 12, 9:00 AM GMT.

I recently reviewed similar production rollouts as part of client engagements.

The recurring pattern is simple.

Good models help, but quality processes win.

Will you treat agent quality as a product requirement or an afterthought?

That question makes the difference between pilots and production deployments.