Bhaskar Sunkara: The AI Agent That Never Sleeps. How Bicycle AI Catches Revenue Leaks in Real Time

AI Is Moving at 100 MPH. Your Company Probably Isn’t. ft. Sreedhar Peddineni

Sreedhar Peddineni has built companies through the internet, SaaS, cloud, and now AI, which makes his perspective especially valuable because he is not reacting to hype — he is comparing this shift to every major technology wave he has lived through. He argues that AI is moving far faster than most leaders and companies can absorb, and that the widening gap between what is possible and what teams are actually doing is becoming a serious competitive threat. His own experience growing GTM Buddy 3x without adding headcount shows what happens when AI moves out of demos and into the daily operating system of a company. The conversation gets practical fast, with real examples of how AI is changing strategy, financial planning, presentations, sales workflows, competitive research, and founder decision-making. For anyone in revenue, sales, or go-to-market, Sridhar breaks down why traditional sales enablement is failing and how AI can deliver the right insight at the exact moment a rep needs it. The takeaway is urgent: AI fluency is becoming a career requirement, and waiting for someone else to teach you may be the fastest way to fall behind.

Cavemen With Fire: Governing the AI Agent Fleet ft. Logan Kelly

Everyone's shipping agents. Almost nobody is asking what happens when a hundred of them go off the rails at 100% utilization while a customer is on the other end. Logan Kelly — CEO of Waxell and a guy who's been punched in the face by real-world sales operations — joins us to argue that a dashboard isn't governance, it's an autopsy, and that most teams are "cavemen playing with fire, hoping there's a bucket of water somewhere." We get into why governance actually *accelerates* agent development (brakes make F1 cars faster, not slower), why the real competitive fight isn't OpenAI vs. Anthropic but governing your entire agent fleet across providers, and why vibe-coded production apps are the next wave of preventable disasters. If you're building, deploying, or betting your company on agents, this is the conversation you can't afford to skip.

Why Your AI Projects Keep Failing (It's Not the Tech) ft. Barbara Wittman

Barbara Wittman has spent 25 years cleaning up broken transformation projects, and the root cause is never the technology. In this episode, she breaks down how AI is exposing dysfunction that companies have been hiding for years: misalignment between business and IT, unchecked assumptions, and a total lack of shared understanding. She explains why boards pressure CEOs into AI adoption out of fear, why the people actually executing get sidelined, and why most “AI use cases” fall apart the moment you pick them apart. Barbara makes the case for “human infrastructure” as a real budget line item, not a buzzword, and shares frameworks so simple they fit on the back of a napkin. If you’re a founder, a transformation leader, or anyone trying to figure out why your AI investments aren’t paying off, this conversation will reframe how you think about the problem.

Bhaskar Sunkara: The AI Agent That Never Sleeps. How Bicycle AI Catches Revenue Leaks in Real Time

Bhaskar Sunkara built AppDynamics into a $3.7B company. Now he's back with Bicycle AI, an always-on agent that catches revenue leaks before your team even knows they exist. In this episode he breaks down why most AI products will never make it to production, how to actually build enterprise trust, and what "doing the boring stuff" really means. We get into real use cases across travel and payments where Bicycle is already saving companies millions. If you're building in AI or buying AI tools for your business, this one is required listening.

RAG, Agents, and the Future of AI Memory with Roie from Pinecone

Most RAG implementations are fundamentally broken; and the company that coined "vector search" just told us why. In this episode, Roie from Pinecone breaks down the "Franken answer" problem plaguing AI systems, why naive retrieval falls apart at scale, and what most teams are getting wrong about evaluation. He reveals how the AutoGPT explosion nearly took down Pinecone's infrastructure overnight — and the radical architecture shift it forced them to build. We dig into why LLMs can't be trusted without grounding, what AI memory will actually look like in the age of agents and robots, and where the line between useful hallucination and dangerous fiction really sits. If you're building anything with RAG, vectors, or agents, this conversation will change how you think about it. https://www.pinecone.io/