이 팟캐스트 소개 🔗
Your go-to podcast for real conversations about using AI tools at Amazon. Amazonians across different roles share practical techniques you can try the same day. No theory, no jargon—just conversations about what works, what doesn’t, and how to get better together.
Note: Some tools, resources, and internal references discussed in this podcast may only be accessible to Amazon employees.
Disclaimer: The views, techniques, and tool preferences shared in this podcast represent the personal experiences and opinions of the host and guests. Always follow your organization’s security and compliance guidelines when implementing AI solutions
업데이트 빈도:
every 8 days
평균 오디오 길이:
14 minutes
게스트 인터뷰
영어
미국
에피소드 32 개
2026년 3월 6일부터
episodic
최신 에피소드 🔗
Alexa for Shopping combines product expertise with personal context to help customers find, compare, and buy what they need. A Senior Manager on the team explains the AI behind the experience and where it's headed next.
Guest: Brandon Knapp, Sr. Manager Product Manager Technical, Alexa for S…
이전 에피소드 🔗
What if your documents got VP-level feedback before the actual review? On this episode of strAIght talk, hear how one builder turned a decade of leadership feedback into an AI-powered review tool now used by over a thousand colleagues each week.
Guest: Isabela Huggins, Sr. Manager, Ops…
Beth Galetti, SVP of People Experience and Technology, hadn't written code in 25 years. Then she built a live website with AI on a transatlantic flight and challenged every person in her organization to build something in two hours or less. Over 1,000 did.
Guest: Beth Galetti, SVP, Peo…
The Working Backwards AI tool was built to be your toughest thinking partner for product ideation. The tool walks you through five customer questions, generates personas who react to your idea, and brings in domain experts to test your thinking. Over half of users say their final idea was different…
Telling your team to "experiment with AI" without a structure usually leads to scattered pilots that fizzle out. One leader built a model that loads both ends: a dedicated Tiger team reimagining one high-value workflow while the broader org gets protected time to skill up and share what's working. …
Reviewing a document against a standard used to mean line-by-line cross-referencing — toggling between the policy and the draft, flagging deviations manually. One team built an agent that takes the first pass, handing back an annotated Word doc with comment bubbles on anything that needs attention.…
What if the goal isn't getting through your tasks faster, but using AI to handle them more efficiently so you can focus on higher-impact work? In this episode of strAIght talk, one Amazonian shares how he rethought his daily work and freed himself to lead differently.
Guest: Dary…
In this episode of strAIght talk, the Amazon Luna team breaks down the four-part "harness" framework they used to turn a simple chatbot into Courtroom Chaos, a live AI-native game with celebrity judges. You'll walk away with a repeatable approach for building AI experiences that feel intentional, n…
"Which AI tool should I actually use?" Leo Ohannesian, a product manager on the Amazon Quick team, comes back to strAIght talk with a candid answer: pick one, go deep, and let it learn you. On this episode, he breaks down how Quick's desktop app builds a knowledge graph from your connected tools, l…
In this episode, an Amazonian shares how he got tired of watching the best offsite conversations happen by accident, so he built an Amazon Quick app that makes them happen on purpose. The MIXX takes pre-work survey responses and delivers a complete meeting prep packet: who should sit together, wher…
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