Agentic Commerce is empowering consumers through seamless product discovery, selection, and purchasing. At our recent Tech Talk with Mike Storiale and Michael Lewandowski, we discussed the profound impact of agent-driven systems on consumer experiences, traditional business models, and front-end interfaces.
Watch it for free via the link in our bio.
"MLOps is no longer optional" - Miguel Ribeiro
So, how can you build MLOps pipelines with best practices built within them? On this technical episode of Build What's Next, Theo Munoz, Miguel Ribeiro, and Natan Szczepaniak discuss how standardization, shared ownership between business and engineering, and robust model governance can ensure you're scaling AI safely and successfully.
Give it a listen via the link in our bio, or wherever you get your podcasts.
As AI transitions from experimentation to core operations, the focus for leadership has shifted toward demonstrating ROI.
Last week, in collaboration with our friends at Allstacks and @MiroHQ , we guided product leaders from major companies in Atlanta on effectively articulating ROI throughout the product development lifecycle.
Thank you to everyone who joined us!
Did you know that an estimated 80% of ML models built in notebooks never make it to production? While many blame the technology, the real causes have more to do with a lack of clear ownership, insufficient investment in data engineering, and poor data foundations. In this episode of Build What's Next, Theo Munoz, Miguel Ribeiro, and Natan Szczepaniak discuss what is needed to scale AI safely as more industries embrace the technology in their workflows.
Give it a listen via the link in our bio, or wherever you get your podcasts.
One of the biggest uses of AI tools is to ensure a smoother design-to-development handoff. This process ensures that the resulting UI code adheres to design systems, style, and brand guidelines, making the initial architecture faster and more accurate. However, success truly hinges on human engineering. David Shackleford and Paul Rowe discuss how to incorporate this into your planning in this episode of Build What's Next.
Give it a listen via the link in our bio, or wherever you get your podcasts.
Our AI Field Guide goes beyond the hype to provide a practical framework for integrating artificial intelligence into the product lifecycle. The resources cover everything from identifying high-value use cases to managing the various complexities of information.
Check it out for free via the link in our bio!
Join us to explore how AI agents are transforming digital transactions in our next TechTalk! From seamless product discovery to automated purchasing. We'll unpack the underlying tech, its impact on traditional business models, and critical strategies for risk and fraud prevention.
Save your spot with Michael Lewandowski and Mike Storiale via the link in our bio.
AI tools like Claude, GitHub Copilot, and Anti-gravity, can take a Figma file and generate the UI using the correct components, style guides, and brand guidelines, making the process faster and more accurate. However, without human logic, critical components like button functions and form validations can be easily missed. David Shackleford and Paul Rowe discuss how to incorporate this into your planning in this episode of Build What's Next.
Give it a listen via the link in our bio, or wherever you get your podcasts.
The team that solves together, stays together. A few Methodites recently took a break from our typical workflow to solve a different kind of problem: an escape room. It was a new setting, but we had to rely on familiar elements like clear communication, leaning into each other's strengths, and maintaining focus under a ticking clock.
Huge thanks to the crew for bringing such great energy!
AI has been very effective when you're starting with a clean slate, and you don't have anything in your way, so you can make decisions on the fly. But the technology tends to struggle in scenarios where you have existing software, and you try to integrate AI into your code base.
David Shackleford and Paul Rowe share how you can mitigate this and ensure AI is doing tasks the way you want it to.
Give it a listen via the link in our bio, or wherever you get your podcasts.
AI can generate code or mockups in seconds, but as we all know, fast doesn't always mean functional and good. With AI being a powerful efficiency tool, strategic roadmapping and expert-level QA are more critical than ever. In this episode of Build What's Next, David Shackleford and Paul Rowe dive into how the roles of design and engineering are being redefined in this automation age.
Give it a listen via the link in our bio, or wherever you get your podcasts.
We're thrilled to announce the launch of the Method AI Field Guide for Digital Product! The AI Field Guide is a three-chapter collection of frameworks and insights from our experts in design, engineering, and strategy. We share learnings, frameworks, and tactics you can take your team to help you strategize, build, and scale your next AI adventure.
Start your journey via the link in our bio.
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