AI agents at work

– 10 min read

Take the stress out of tracking swag deliveries

Ben Popper

Ben Popper   |  February 5, 2026

At WRITER we’ve been codifying best practices that make the difference between pilot projects and production-ready AI — the jump from impressive productivity gains for a few users and solutions that scale across the organization to deliver measurable business impact.

Ryan Schwary, a field marketer here at WRITER, built a great example of the latter. Before major events like AWS re:Invent, our field team needs to order mountains of materials: branded swag like stickers and t-shirts, booth essentials, demo equipment, and presentation materials. What started as a personal agent to help Ryan move faster quickly scaled into something that can transform a workflow for field marketing teams around the globe.

The problem: At a major convention, Ryan wasn’t the only one expecting deliveries. Hundreds of vendors and attendees are waiting on day-of packages.  In the past, she’d spent hours toggling between tracking apps and carrier websites, manually checking dozens of shipment statuses—often to find nothing had changed. This constant vigilance pulled her attention away from the live event and created unnecessary stress.

The pilot: Ryan built a WRITER Agent Playbook that  monitored all her shipment tracking numbers and automatically checked for updates every hour. When something meaningful changed, it sent details to a dedicated Slack channel. No more manual checking. No more guesswork.

The impact for Ryan: Instead of spending hours hunting for status updates, she got alerts only when they mattered. Measurable time savings. Tangible peace of mind.

The scale: This is where pilot becomes production. Ryan’s Playbook didn’t stay personal‌ — ‌it transferred seamlessly to her colleagues across field marketing globally. Using variables, anyone can customize it for their own packages, carriers, and events without touching a line of code. What started as one person’s productivity hack became an operational standard for an entire distributed team.

This is the difference between an impressive demo and a scalable solution: measurable hours saved, replicable across teams, and delivering compounding business impact.

Want to see exactly how Ryan built it without writing any code? Check out the video below.

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