Most enterprises are under intense board pressure to deploy AI agents. Jeff McMillan returns to address the widening gap between agent hype and operational readiness—you can brute-force a handful of agents, but scaling to fifteen thousand demands near-perfect data accessibility, semantic structure, controls, and custom evals.
If your organization is pursuing agentic AI without a foundation in place, this conversation is the checklist your deck is probably missing.
—Josh Tyson on McMillan’s agent-scale checklist · Invisible Machines · S7E12Tushar Deshmukh on why prompting isn’t prompt engineering—it’s brief-writing applied to a new surface, and designers already know how to do it.
Jim Gulsen on why “vibe coding” misnames serious AI-assisted design—and why directed generation puts judgment, references, and constraints before the model responds.
UX × AI SeriesTushar Deshmukh dismantles the replacement myth—AI is fast and tireless, but completely dependent on your judgment and accountability.
Päivi Salminen on why agile teams trap designers in endless mockups—and how design systems front-load decisions so teams can focus on how interfaces actually work.
Pavel Bukengolts on a free, local-first dashboard that uses AI to augment your judgment while your data and decisions stay on your machine.
James Lang on researchers shipping apps and exhibits—and why the shift from advisor to maker is less about tools than unlearning who you’re allowed to be.
Anina Botha on trust, automation bias, and turning invisible human behavior into deliberate product design—not copy-pasted AI features.
Gamification SeriesMontgomery Singman closes the series: people play because games are worth playing—not because they award points—and success is enrichment, not retention.
In the rush to adopt AI agents, many organizations are acting like beginners attempting a kickflip—eager, ambitious, but unprepared. Strategy, runtimes, and verified knowledge turn repetition into progress; hype alone turns it into pavement.