strAIght talk: AI tips for Amazonians

Amazon Corporate Communications

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

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24 episodes
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Avg 14 min
English

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#31
September 28 · 14 min
Turn your doc feedback into an AI tool others can use
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 & Enablement, Global Logistics
#30
September 21 · 16 min
She hadn't coded in 25 years. One flight later, she had a live website and a challenge for all of PXT
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, People Experience and Technology, Amazon
#29
September 7 · 11 min
Sharpen your next big idea with Working Backwards AI
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 from what they started with. Guest: Phil Nachbar, Principal Product Manager, Working Backwards
#28
August 31 · 13 min
Try the barbell method: Your team's AI transformation in two moves
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. On this episode, our guest walks through the full framework, how the two sides feed each other, and why getting to a disappointment fast is more valuable than waiting months for a polished demo. His biggest tip: pick one workflow where the pain is obvious, give a single owner two weeks, and ship something working. Guest: Ishit Vachhrajani, Director of Tech, AI, and Executive in Residence, AWS Marketing
#27
August 24 · 10 min
Build an agent for doc reviews: your standard, reviewed automatically.
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. On this episode, the builder shares the full setup, the exact prompts, and one trick that pulls standards from any internal page without a connector. His biggest tip: start with the review task that comes up the most — volume drives the biggest savings. Guest: Sean Callahan, Sr Program Manager, Legal, AWS Infrastructure
#26
August 17 · 14 min
Scale your impact and efficiency with three AI workflows you can try today
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: Daryl Hammett, Director, Delivery & AI Platforms, AWS ProServe
#24
August 3 · 14 min
Snoop Dogg as an AI judge: The 4-part framework behind Courtroom Chaos
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, not generic. Whether you're prototyping your first AI feature or trying to make an existing one stick, start here. Guests: Pen Szeto, Head of AI and Sergey Rudenko, AI Technologist - Amazon Luna
#25
August 3 · 15 min
Understand why using one AI tool sharpens your answers
"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, learns your working style through procedural memory, and keeps your context fresh through an activity feed that reads your sources every 15 minutes. His biggest tip: open your feed, customize how it prioritizes your work, then ask Quick, "What's a repetitive behavior I've had that could just run for me?" Guest: Leo Ohannesian, Principal Product Manager, Amazon Quick
#23
July 27 · 17 min
Try The MIXX: the tool that does your meeting prep — from OP1 to offsites
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, where the group already agrees, and where to spend your limited time. Guest: Mark Boccia, Sr. Mgr, Learning Design & Delivery, Global AI Accelerator / Global Ops L&D
#22
July 20 · 12 min
strAIght talk: 4 AI techniques that work
We went back through every episode of strAIght talk and pulled together the four most essential AI techniques every Amazonian should know. Each one builds on the last, giving you a complete, repeatable approach to getting better results from AI. Whether you're brand new to AI or looking to sharpen your approach, start here.
#21
July 13 · 18 min
The one question, asked daily, changed how this VP works, eats, and leads
In this episode, a VP who leads HR for Amazon's global operations shares his personal AI journey: from basic prompts to a daily framework that changed how he runs meetings, helped him lose 20 pounds, and even helped someone in his community build a business plan. His one rule: stay the human in charge. Guest: J. Ofori Agboka, VP People Experience & Technology (PXT) - Global Operations, Amazon
#20
July 6 · 12 min
The AI debate partner technique: One team rebuilt onboarding in 6 weeks
In this episode, Morgan shares how her talent development team used AI not just to code a new product, but to fundamentally rethink what onboarding should look like. What started as a debate with AI led to a six-week rebuild that shifted the focus from task completion to customer delivery. Guest: Morgan Grimes, Sr Manager, Product Management, Amazon eXperience & Upskilling
#19
June 29 · 15 min
AI Solution Jams: 15 minutes to teach, 30 to build. Try it with your team
One team in Global Tax Data used AI to reimagine how they work together — from automating month-end data validation that used to take days, to building an agent that translates code into plain English for compliance reviews. On this episode, members from Amazon’s Global Tax Data team share how "AI Solution Jams" (teach, demo, create) helped them scale AI experimentation across six countries and land three ideas in a finance-wide hackathon. Their biggest tip: it's about the habit, not the heroics. Start with the most repetitive thing in front of you and build from there. Guests: Chris Jocson, Parmi Makh, and Raksha B from Global Tax Data team.
#18
June 22 · 12 min
AWS certifications made easy: Let AI create a custom study plan for you
Carving out hours for exam prep feels impossible when you're juggling deliverables, launches, and meetings. On this episode, Sery Cybulski shares how she used AI to pass multiple AWS certifications with just 30 minutes a day. Her approach: tell AI exactly what you don't know, let it build a tailored study plan, and when you get questions wrong, feed them back so it adapts to your gaps. No cramming required. Guest: Sery Cybulski, Senior Program Manager, AWS Support Engineering
#17
June 15 · 13 min
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
#16
June 8 · 15 min
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
#15
June 1 · 12 min
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
#14
May 26 · 12 min
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
#13
May 20 · 13 min
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
#12
May 12 · 17 min
Not a developer? You can still build real solutions — here's how
You've got the idea. A tracker, a dashboard, a tool that would save your team hours. You just can't code it. Or can you? Two Amazonians share how to go from ideas to working prototypes using agentic coding tools. The secret? You don't need to know code; you need to know how to communicate. Guests: Alex Neier, Software Builder Experience (ASBX) & Curtis Morton, AWS Training and Certification

Showing 1–20 of 24 episodes