Quentin Packard VP Americas Sales Cockroach Labs
Author

Quentin Packard

Quentin Packard is VP of Americas Sales at Cockroach Labs.

Read more articles from this author
Engineer facing a digital AI agent in a data center with an oversized shadow behind it, representing the security risks of unmanaged AI agent identities and the need for governed, auditable access.

ai

Security

Why Your AI Agent Has an Identity Problem

The agent your team just shipped to external users has the ability to read customer records, execute transactions, and call external APIs.

Profile image of Quentin Packard, VP Americas Sales, Cockroach Labs

Quentin Packard

July 17, 2026

Data streams flowing from a centralized source into parallel pathways, representing horizontally scalable PostgreSQL-compatible database architecture for AI workloads.

ai

Why Agent Loops Fail in Production (and the Database Patterns That Fix Them)

Agent loops fail in production for reasons that have little to do with the model, and everything to do with what happens to their state between iterations.

Profile image of Quentin Packard, VP Americas Sales, Cockroach Labs

Quentin Packard

July 1, 2026

Data streams converging between a distributed SQL layer and a system of record, representing synchronized agent activity and high-concurrency database workloads.

The Thundering Herd Problem in Agentic AI: Why Traditional Fixes Fall Short

The thundering herd of the past was externally triggered.

Profile image of Quentin Packard, VP Americas Sales, Cockroach Labs

Quentin Packard

June 19, 2026

Rows of data center servers surrounding a glowing dollar symbol, representing the infrastructure and operational costs of running AI agents at scale.

ai

Business

The Bill Arrives: How to Manage Agentic AI Costs at Scale

What do the Uber budget blowout, a 24x token multiplier, and context teach us about building a real business case for AI Agents in production?

Profile image of Quentin Packard, VP Americas Sales, Cockroach Labs

Quentin Packard

June 10, 2026

Split-screen visualization of an AI agent operating successfully versus failing under production conditions, representing the infrastructure challenges of scaling agentic AI from proof of concept to production.

ai

What Breaks When Agentic AI Reaches Production?

Most enterprise AI teams have built an agent that was impressive; far fewer have shipped one without a production incident that made someone question the whole program.

Profile image of Quentin Packard, VP Americas Sales, Cockroach Labs

Quentin Packard

June 4, 2026

Digital neural network over application code, representing AI agents reasoning with context, memory, and operational awareness

ai

AI Agents Need Context to Reason, Not Just Data

When your AI agent makes a bad decision in production, what do you blame?

Profile image of Quentin Packard, VP Americas Sales, Cockroach Labs

Quentin Packard

May 28, 2026

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