Jonathan Frankle returns three years after teaching us data mixology with a sharper electrical metaphor: large language models are fusion-grade intelligence, but most organizations still lack the grid—specification, testing discipline, composable tools, and applications that connect raw capability to human intent.
The model is astonishing, the wiring is not.
—Josh Tyson on Frankle’s fusion metaphor · Invisible Machines · S7E11Morteza Pourmohamadi on Rumelt’s strategy kernel and why most design “strategy” is ambition dressed as a plan.
Päivi Salminen on Laura Klein’s lesson that MVP teams forget the word “viable”—and why shipping imperfect work is the real agile skill.
Gamification SeriesMontgomery Singman on why kids see through badge mechanics, education contexts, and designing for genuine play.
Ethical UX SeriesTushar Deshmukh on cookie walls, decision fatigue, and reclaiming informed consent from legal-shield UX.
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.
Päivi Salminen on holistic instincts, horizontal slicing, and the smallest slice that still delivers real value.
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.