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 · S7E12Päivi 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.
Gamification SeriesMontgomery Singman closes the series: people play because games are worth playing—not because they award points—and success is enrichment, not retention.
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.
Gamification SeriesMontgomery Singman on choosing a genre instead of copying mechanics—and building core loops that stay engaging even without badges.
Anina Botha on trust, automation bias, and turning invisible human behavior into deliberate product design—not copy-pasted AI features.
Pavel Bukengolts on connected stacks, the 48-hour operating loop, and why patterns got cheap while judgment did not.
Kwansah Madani on why AI degrades while dashboards stay green—and what continuous behavioral feedback actually requires.
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.