Palantir's CEO ranted about AI pricing, a ransomware agent proved harness engineering matters more than the model, and Mem0 benchmarked the memory layer nobody is paying attention to. The real fight isn't about weights—it's about what sits underneath.

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The job description we wrote for PMs in 2019 doesn't match the work in 2026. Luis breaks down what's actually required to survive the AI era.

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Why the audit trail—not the agent's output—is what actually matters in production. Design it as a user interface, and autonomy becomes defensible.

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Luis argues that static AI strategy decks are obsolete. The future is live orchestration graphs where agents execute workflows in real time while humans design the feedback loop.

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Five product layers are crystallizing in open-source AI agent repos right now. Learn which ones matter and how to borrow the patterns before they harden into expensive platform defaults.

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Every AI agent in production hits the same wall: they start from zero every Monday with no memory of past decisions. Luis explores why memory and governance is the one unsolved layer of the agentic stack—and what governed memory actually requires.

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Prompt engineering is dead. The winning move is prompt systems—evolutionary optimization, self-refinement loops, harness engineering, and spec-driven contracts. Here's how to build them.

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When you're running multiple agents in production, you need more than a dashboard—you need a real operator console. Luis breaks down what that looks like and why it matters.

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Luis argues the comfortable narrative about PMs evolving into agent orchestrators is false. The real trend: agentic AI will automate the PM role itself, leaving only domain experts and compliance checkpoints.

This episode is in DRAFT and has not been published yet.

A new paper proves what product builders have suspected: your system prompt is the least valuable part of your AI harness. The real wins come from tool architecture, middleware, and memory structure.

This episode is in DRAFT and has not been published yet.