A rough idea + AI became Kate Spade's concierge — here's how

A rough idea + AI became Kate Spade's concierge — here's how

One team at AWS used AI at every step to build Kate Spade’s AI "gift concierge" — a shopping assistant that asks customers what they need and narrows options through conversation. On this episode, David Dorf shares how they went from concept to live product in 12 weeks. His biggest tip: you don't need a perfect idea. Keep a backlog, present a rough one to AI, and let it research and refine until you pick up momentum.    Guest: David Dorf, Global Head of Retail Industry Solutions, AWS

Don't scrap it, ask it why: How one marketer made five AI agents reliable.

"I built an agent... now what?" Orlando O'Neill built five custom AI agents for his marketing work. On this episode, he shares how he makes them reliable: asking agents to diagnose their own mistakes, fixing issues permanently with steering files, and running weekly reviews to improve them over time. His biggest tip: when your agent gets something wrong, don't scrap it. Ask it why, and fix it together.   Guest: Orlando O'Neill, Senior Product Marketing Manager, Alexa Marketing

Cortex Kickstart asked her one question, then built four AI agents

Jackie Pizaña wanted AI to do more than summarize documents. Using an internal guided workflow called Cortex Kickstart, she built four AI agents that track commitments, flag escalations, prep coaching materials, and orient her week. Her biggest tip: lean into one tool, learn it well, and let your confidence build from there. Guest: Jackie Pizana, Senior Manager, Operations Field Talent Acquisition

8 weeks, no roadmap, and a 50% chance of success. Here's how Kiro helped this PM deliver.

Eight weeks, no roadmap, and a 50/50 shot. Vedran Brozovic shares how he used AI to find the right data, generate technical requirements, and build an hourly forecasting system in weeks—not months. His biggest tip: ask AI questions like you'd ask a colleague, not a search engine.    Guest: Vedran Brozovic, Product Manager, Automated Profitability Management

Describe your problem, Amazon Quick builds the fix—try these skills today

Spending your mornings triaging emails and rewriting the same docs? Eric Johnson shares how he uses Quick to turn everyday pain points into automated workflows. Just describe your problem, and Quick’s desktop app builds the solution for you. Guest: Eric Johnson, Principal Developer Advocate, AWS