Talking about AI doesn’t have to feel like the end of the world.
Join Rich Ziade, Paul Ford, and their guests as they discuss how AI is changing software development, business strategy—and everything else. New episodes every Tuesday.
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AI videos from tools like OpenAI’s Sora and Meta’s Vibes are flooding our feeds. Is this the future? On the Aboard Podcast, Paul and Rich tackle a trio of AI topics. First: They look at a report from the Yale Budget Lab on which industries are adopting AI the fastest. (Spoiler: Only one is fully embracing it. Take a guess!) Then, they talk about spammy AI-generated bug reports submitted to the developer of cURL—and what happened when someone found real bugs with AI. And finally: Welcome to Slopw...
All over the New York City subway, ads for the AI wearable “Friend” are being defaced. It seems clear that New Yorkers don’t want what Silicon Valley is selling—but will the general consumer bite? On this week’s Aboard Podcast, Paul and Rich assess the tensions between big tech and the public, in New York and beyond. After decades of having our data be packaged and sold, will anyone want to wear a necklace that listens to them 24/7? Plus: Paul describes what his skincare routine would be like if...
The big tech CEOs are openly embracing Trump—so what do we all do now? On this week’s Aboard Podcast, Paul and Rich dig into Steven Levy’s recent cover story for WIRED ’s politics issue that breaks down the industry’s hard pivot towards Trumpism. What did these leaders think they were signing up, and what are they actually getting? Plus: By way of metaphor, Rich offers up the world’s worst bundt cake recipe (it’s full of gold!).
The Aboard Podcast is about software in the age of AI—but what non-AI things are happening in the world of software? Not much, Paul and Rich are sorry to report. In the first half of this week’s episode, they discuss how AI is sucking up all the tech oxygen in the room. Then, they pivot to talking about AI and kids: What should parents be teaching their kids about these tools? (Or should they even let them use LLMs at all?)
Will AI put an end to management consulting? Maybe hold off on writing that McKinsey obituary for now. On the podcast, Paul and Rich break down the different kinds of consulting on a practical level, and assess what AI might mean for that work going forward. Can these companies really get away with charging the same rates if AI lets them reduce headcount or dramatically speed up the work?
Millions of people are using AI tools to search—so what does that mean for search engines? On this week’s podcast, Paul and Rich dive into (the questionably named) “GEO,” or Generative Engine Optimization. After an overview of Google’s classic model, they explore the ways AI is currently upending the search world, and speculate about what might emerge in the years to come. If LLMs cannibalize all the content on the web, what will be left to search in the future?
How should the business leaders of the future think about AI? On this week’s podcast, Paul and Rich are joined by Matt Seitz, the Director of the AI Hub for Business at the University of Wisconsin’s School of Business. Matt discusses his journey from years at Google to his current role at UW, and he gives on-the-ground insight into the AI struggles of both leadership and employees in this moment of transition. Plus: They ponder whether AI can improve Wisconsin cheese. (Spoiler: No. It is perfect...
Aboard uses AI to help build software, but in just a few years, AI will gain sentience and take over our work, personal lives, and even brains—just kidding! Yes, the fourth and final installment of “AI Summer School” is about AGI, or “Artificial Generalized Intelligence.” What does it mean? Can anyone agree on a definition? And if no one can define it or agree on those definitions, what’s the likelihood that all these Silicon Valley AGI predictions will come true?
So now that you’ve set up your AI agents, what can you build with them? In the third lesson of AI Summer School, Paul and Rich are joined by CTO Adam Pash to spin up a sample app in Aboard. How do agents work together to simulate the development process—and what’s the difference between Aboard’s structured approach and a vibe-coding tool? Plus: Introducing the Adam Pash Drinking Game, where you take a shot every time you say the word “guardrails.”
“Agents” are a big marketing term for AI companies right now—but how do they actually work? In the second installment of AI Summer School, Paul and Rich are joined by Aboard Director of Engineering Kevin Barrett, who breaks down what “agent” actually means, and how they function within the platform. Plus: In the process of demoing Aboard’s agent capabilities, Paul becomes transfixed by the breeding records of a fictional alpaca farm.
Feel a little lost when it comes to AI? It’s time to go back to school—Aboard’s AI Summer School! Over the month of August, Paul, Rich, and a few special guests will break down the basics of LLMs, agents, AGI, and a host of other AI-related topics. In the first installment, they discuss how LLMs think—or rather, don’t think—and compare the major players on the AI scene right now.
This episode explores the current state of AI programming tools through Paul's "vibe coding" experiment to build a universe timeline explorer. While AI excels at initial setup, data parsing, and deployment, it struggles significantly with complex logical requirements and structural code architecture, leading to "context exhaustion." The discussion emphasizes that AI tools, despite their advancements, still lack human-like discernment and the ability to clarify requirements or think non-linearly, making human architectural skills more crucial than ever for meaningful software development.
How do you build for the future amid ongoing instability? This week, Paul and Rich turn to Lebanon—literally, since that’s where Rich, who was born in the country and still has family there, is calling in from. After they discuss some Lebanese basics (Cedars! Small plates!) they turn to the Lebanese tech scene, discussing everything from investments in the Beirut Digital District to Aboard’s partner agency in Lebanon, Speedlane.
AI is a great first step, but to really build software, you need humans to get the job done. On last week’s podcast, Paul and Rich talked about how Aboard works by focusing on those AI first steps; this week, they dig into the human work that gets Aboard projects over the line, from classic agency-style client management to the brand-new role of “Solution Engineer.”
Paul and Rich are always talking about building software with AI—but how is Aboard actually building software with AI? This week’s podcast is a peek behind the curtain, walking through how Aboard gets you from a short prompt to real, working software in minutes. From the specific (the “Harvest Manager” app Paul creates for his pumpkin patch) to the broad (what this technology means for the software agency model, and the industry at large).
Same as it ever was: On this week’s podcast, Paul and Rich take a spin through a 1980 issue of Omni magazine, comparing how computers were being discussed back then with how AI is talked about today. Featuring an essay by Frank Herbert (yes, of Dune ), IBM’s early-80s consumer pitch, and a meditation on the question: What does “new technology” even mean?
As the legacy tech giants weave AI functionality through their existing systems, is it all over for AI-first companies like OpenAI and Anthropic? In the wake of this year’s WWDC, Paul and Rich analyze Apple’s AI plans, and contextualize them within broader industry shifts. What’s Apple’s AI endgame—and where can we expect to see a player like OpenAI a few years from now?
When is something “done”—and why is it so hard to define “done” when it comes to AI? On this week’s podcast, Paul and Rich talk about the challenges of the last mile of software development, and why the industry needs a whole new set of processes to actually use AI to ship product. Plus: Paul reveals one neat trick that will make you finish writing something.
OpenAI’s $6.5 billion acquisition of Jony Ive’s startup might be grabbing the headlines, but the real shifts in AI right now are a lot less flashy—and point towards more long-term stability in the industry. On this week’s podcast, Paul walks Rich through some recent Big AI news and they pull out some key trends and takeaways, from the announcements at Google’s I/O 2025 to new capabilities at Anthropic to, in Paul’s words, “Agents, agents, agents, agents, agents.”
This episode coaches confused CEOs navigating the hype and pressure around AI. It traces the journey from hearing about competitors' investments to facing board scrutiny and internal team presentations. The discussion highlights the pitfalls of skipping strategy for execution and the role of consultants. The key advice is for leaders to focus on specific business outcomes and allow for internal tinkering rather than demanding a generic 'AI plan'.
Last year, the fintech company Klarna announced they were going AI-first—but now, they’re hiring humans again. Is this a sign that the AI pendulum is swinging back in tech? On this week’s podcast, Paul and Rich look back at Klarna CEO Sebastian Siemiatkowski’s initial pivot, why that strategy probably didn’t get the job done, and what this move signals for the industry on a whole.
Today’s young people are growing up with generative AI at their fingertips. Should we be worried? On this week’s podcast, Paul (father of 13-year-old twins) and Rich (father of a 12 year old and a 10 year old) discuss the technology world in which their children are coming of age, particularly when it comes to education. If students are bound to turn to these tools no matter the rules, how can we make sure they’re actually learning, rather than just copy/pasting?
From your inbox to the podcast studio: Paul and Rich are joined by Patrick Lucas Austin, longtime tech journalist and founding editor of IT Brew, to talk about how he views AI in his work covering the enterprise sector. While Paul and Rich consider themselves “AI centrists,” Patrick takes an arguably more critical view of these technologies, and they go back and forth on the capabilities, outputs, ethical concerns, and where they’ll leave users in the coming years.
Are product managers’ jobs safe in our new AI-development reality? Paul and Rich discuss the news that OpenAI is looking to acquire the coding assistant Windsurf, asking the question: If AI is excellent at coding, why would OpenAI need to integrate a coding assistant into its products? This leads them to the role of humans in AI-aided software development—especially the product manager, and how their skills gathering context and asking the unexpected questions would be impossible for even the mo...
Does AI have a place in religion—or in our moral decision-making more broadly? Recorded shortly after the death of Pope Francis was announced, Paul and Rich reflect on the pontiff’s legacy and then segue to theology and tech, assessing ChatGPT’s output to moral queries “from a Catholic perspective.” Could these tools ever be a substitute for the real (human) thing? Featuring what’s possibly the most upsetting sentence ever uttered on the podcast: “I wanna see Peter Thiel wash some feet.”
Shopify CEO Tobi Lütke recently told his employees that AI use is now mandatory—and on this week’s Reqless, Paul and Rich talk about why they think this is a good directive for every worker. After they discuss the substance of Lütke’s “leaked” memo and contextualize it within the broader industry trends, they count down five concrete tips for anyone who wants to incorporate AI into their work and isn’t sure where to start.
As Trump’s tariffs become reality and global markets plummet, Paul and Rich take stock of the situation and ask: How are the founders of an AI startup thinking about the months ahead, and how can AI help businesses weather the storm? Plus: As they look back at the early-2000s dot-com crash, they discuss how tech innovation can blossom in times of economic uncertainty.
Paul and Rich discuss the evolving role of AI in software development, with Paul sharing his experience working on a data migration project using AI tools. They explore the idea that AI is becoming more 'boring,' meaning it's more comprehensible and integrated into existing workflows. They also debate the future potential and limitations of AI in creating fully automated solutions, emphasizing the continued importance of human expertise and iteration.
On this week’s Reqless, Paul and Rich consider the prompt: What it represents within generative AI tools, how they think about it as users, and what it means for Aboard as a product. Is the prompt the end state of engaging with AI, or will the way we interact with these tools continue to evolve?
As AI transforms the way engineers build software, how is it changing the software that’s built for engineers? On this week’s Reqless, Paul and Rich welcome Kurt Schrader, the CEO and co-founder of the engineering-management platform Shortcut. Topics discussed include what it’s like to integrate AI into engineering-team workflows, why he thinks AI will actually force the engineering skill bar higher in the future, and building Korey, Shortcut’s forthcoming AI tool.
