Playbook Broken by Marc Sirkin
Playbook Broken serves executives navigating the moment when traditional strategy isn't just failing but becoming dangerous. Hosted by Marc Sirkin, Chief Growth Officer, Walk West and former CEO, Third Door Media.
- Indexed issues, last 90 days
- 6
- Latest publication
- Sep 3, 2026
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- Earliest in this view
- Jul 7, 2026
Latest issues
What E-Commerce Is Publishing for AI Agents (opens the original)
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I pointed two agents at what major e-commerce companies publish for machines.I was looking for an early version of what I have started calling an agent lighthouse: a public beacon that helps an AI agent find a website, understand what is there, and interact with it safely.I expected a messy answer but didn’t expect the mess itself to be the most useful finding.E-commerce companies are starting to recognize agents as a distinct audience. Their public interfaces mostly help machines read, orient t
The playbook always sucked (opens the original)
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“The playbook always sucked” is a direct quote from Nick Zeckets, Chief Firestarter at Smoke Signals AI, on Playbook Broken. His argument: the B2B go-to-market playbook was mediocre well before AI showed up, and stacking AI on top of it doesn’t fix that. It only speeds up the wreck.We get into what actually replaces it: signal most teams never think to pull, and why ABM’s real failure was the tooling underneath it, not the framework.Chapters:00:00 The Playbook Always Sucked04:00 Fra
I Gave Five LLMs a Personality Test. One Didn’t Add Up. (opens the original)
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I asked five leading AI models to give themselves a DISC personality assessment.Same prompt. Five separate conversations:“Hey [model], give yourself a DISC assessment. Answer all the questions and provide a report back to me.”I wasn’t sure they would play along. They all did.ChatGPT, Claude, Gemini, Grok, and DeepSeek each invented a questionnaire, answered it, scored the result, and explained what kind of “person” it supposedly was.The personality profiles were interesting. The way the models h
Marketing Was Never a Machine (opens the original)
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Here’s a conversation I’ve had probably thirty times in the last three years (err, 3 months?).A CEO or CMO sits down and explains their marketing problem. The campaigns are running. The team is working. Something isn’t connecting. The board wants cleaner attribution. The pipeline number keeps missing.Here’s the unanswered or unasked question: “Do you think marketing should be predictable?”Almost everyone will say yes. And then we spend the rest of the conversation working through why it isn’t.Ka
The AI Didn't Remove the Operational Tax. It Moved It. (opens the original)
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Thirty days. Four teams… this is the final installment in the Walk West AI Transformation 30 day challenge.The main thing we learned is that we have a data problem. No shocker there, and if I’m right, you probably have the same problem!Not the headline anyone wanted, but there it is. After watching teams build multiple prototypes, focusing on different problem spaces and common binding constraints, the AI moved the operational tax. And no, you cannot move to Florida to avoid paying it.Each team
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