
The New Martech Stack: Keep the Hub, Build the Spokes
Marketing technology is moving from crowded SaaS stacks to a simpler hub-and-spoke model: keep a few durable platforms, then build the custom tools your business actually needs.
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Marketing technology is moving from crowded SaaS stacks to a simpler hub-and-spoke model: keep a few durable platforms, then build the custom tools your business actually needs.
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AI automation doesn’t begin with better prompts or shinier tools. It begins with five habits that sharpen communication, judgment, process thinking, and your ability to define good work.
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AI automation doesn’t begin with an agent or a shiny tool. It begins with process development: analyze what happens, improve it, standardize it, and only then mechanize it.
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My conversation with Michael Stelzner on AI Explored.
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The next advantage in marketing may not come from another SaaS subscription. It may come from building smaller, smarter tools that fit your exact process—and owning the system behind them.
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AI can produce an entire campaign in minutes, but human review can still take hours. Here’s the simple web-based workflow I’m using to make review faster and clearer.
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Codex can do far more than trim footage. Here’s the five-step process I use to turn raw video into polished, distributed content—and make each edit smarter than the last.
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I use ChatGPT differently on my phone, in the browser, and on my Mac. Here’s the workflow I’ve settled on for voice, research, projects, files, and serious work.
Read article →Use AI to examine assumptions, ask better questions, and brief research—while keeping responsibility for the final decision.
Read article →Help employees develop useful public voices with focused practice, editorial support, and a program that invests in their own growth.
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ChatGPT 6 Astra’s computer-use abilities point to a major shift in marketing: entry-level work won’t disappear overnight, but the skills required to begin—and advance—are changing fast.
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AI is already part of daily marketing work. The next advantage won’t come from using more tools—it’ll come from finding bottlenecks, questioning assumptions, and automating only what works.
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