Massive Studios
500 episodes listed below
Clear thinking for production AI.
The Reasoning Show treats AI as an operational discipline, not a spectacle. Brian Grace Lee talks through RAG systems, AI-assisted development, customer service automation, and tool-centered workflows with builders and operators close to the work.
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The Reasoning Show is built for the moment when AI leaves the demo and enters the backlog. Brian Grace Lee opens episodes with a clear premise, then follows it into the practical details that decide whether a system is useful. RAG receives repeated attention, especially the idea that the language model should not be treated as the source of truth. The show talks about pipelines, retrieval, warranty-style failure cases, sensitive data, fine-tuning, and the gap between an answer that sounds right and one that actually is right. AI-assisted software development is another recurring thread. Episodes consider how coding agents, AI assistants, and fast prototypes change planning, requirements, testing, validation, deployment, and monitoring. The show is comfortable with the upside of speed. It is also alert to the risk of building into a corner before the architecture has caught up. Customer service AI appears as a major use case, with attention to self-improving systems and product engineering at scale. The conversations often feature company operators and founders close to implementation, including people connected to Pinecone, Allstacks, Zendesk, Tonic AI, and Percona. Monthly AI news episodes add a looser roundtable feel, where industry trends sit next to sports banter and running jokes. The register is informed but not formal. It can move from vector-search concepts to March Madness in the same stretch. That mix gives the show a useful texture: serious about enterprise AI, relaxed about the human context around it. The strongest episodes are not trying to predict everything. They test whether current tools can survive contact with real data, real users, and real organizations.
Made for: The show suits software leaders, product teams, platform engineers, AI builders, and technical operators evaluating how AI changes real systems. It is especially useful for listeners who care about RAG, AI coding workflows, customer support automation, and production tradeoffs.
What sets it apart: The show keeps its focus on implementation pressure: architecture, data, testing, and what happens after a prototype works. Its casual pacing makes dense enterprise AI topics feel like working conversations rather than conference talks.
The Reasoning Show AI moves fast. Thinking clearly matters more.The Reasoning Show cuts through the hype to explore how the smartest people in enterprise AI actually make decisions — the strategy, the tradeoffs, and the hard lessons no press release mentions.Every week, hosts Aaron Delp and Brian Gracely sit down with the founders building the tools, investors funding the shift, and operators running AI in the real world. Not hype. Not panic. Just clear-headed conversations with people who have to make actual decisions.Because the AI revolution isn't just happening. It's being reasoned through. New shows every Wednesday and Sun...
AI makes software cheaper; Brian Grace Lee helps you ask what gets expensive next.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A practical RAG discussion about company data as the source of truth for AI systems.
This conversation keeps RAG tied to the practical work of building AI systems around company data. It makes the central point plainly: the LLM is not the source of truth, and the real knowledge authority lives elsewhere.
A clear look at how AI is changing software work from planning through monitoring.
The episode tracks how AI agents and coding assistants are reshaping software work, from planning and testing to validation, deployments, and monitoring. Brian Grace Lee hosts Jeff from Allstacks, and the discussion stays on operating choices rather than broad AI hype.
A practical case for making Claude central to work life.
Brian Grace Lee and Brandon Wichert make a steady, usable case for making Claude central to work life. The strongest part is the shift they describe: not waiting for the perfect prompt, but beginning with rough thoughts, messy drafts, and half-formed questions, then letting the…
Power Platform news with practical static.
Brian Grace Lee and Aaron Delp frame June 2026 as a month when AI’s enterprise reality replaced token-maximizing enthusiasm with governance and cost concerns.
Jordan Kav describes forward-deployed engineering at Mozilla as full-stack customer work spanning UI, databases, deployment, security, and education after the sale.
The host explores whether coding is becoming obsolete in the AI era and discusses the implications for software development and business investment.
Brian Grace Lee interviews Roey Schwarber-Cohen, head of developer relations at Pinecone, about building effective RAG (Retrieval Augmented Generation) systems at enterprise scale.
Jeff Kyes, field CTO at Allstacks, says AI is changing software delivery faster than teams can adapt, from planning and testing to deployment and monitoring.
The episode explores how generative AI is transforming customer service, featuring an interview with Zendesk's president of product engineering and AI.
Hosts Brian Gracely and Brandon Wichard discuss the latest AI news and trends of the month, with a focus on enterprise applications.
"Claude is like you can use it for literally everything," Brandon Wichert says after writing emails, proposals, and daily reports.
Hosts discuss RAG in production with Adam K.
Hosts interview Peter Zaitsev, founder of Percona, about his journey in open source databases and enterprise infrastructure.
Hosts discuss holiday experiences and transition into a conversation about enterprise AI strategy and decision-making.
The Cloudcast’s Aaron Delp and Brian Grace Lee record from Raleigh, North Carolina on December 14th and frame the episode as a 2025 state-of-cloud recap, alongside planned year-end shows on AI and predictions.
The episode discusses how companies should rethink infrastructure and architecture for AI in private data centers and sovereign environments.
A podcast exploring how enterprise AI leaders make strategic decisions, featuring interviews with founders, investors, and operators.
A podcast exploring enterprise AI strategy, cloud computing trends, and the infrastructure behind autonomous systems.
The episode discusses enterprise AI strategy and decision-making, featuring an interview with a founder or operator in the field.