In This Issue
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New Video: I Built 500 AI Workflows, These 5 Actually Sell in 2026
After 500 AI workflows across dozens of industries, the same five automations keep getting purchased: speed to lead, document processing, follow-up sequences, database reactivation, and internal reporting. This video breaks down why each one sells and how to frame the pitch as an ROI conversation instead of a tech demo. The mistake most people make: It's tempting to build the flashiest AI demos you can find (agents, voice bots, computer use). But businesses don't pay for impressive. They pay for time saved and revenue recovered, and the boring workflows almost always deliver that better. How this helps you: You'll know exactly which automation to pitch for any type of business and how to walk through the ROI math so the decision to hire you becomes obvious. That means shorter sales conversations and fewer "sounds cool, I'll think about it" responses.
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Winning Is All We Do A sleek, modern website in a few hours (using Claude the right way)
What happened: John Freund had been tinkering with his site for weeks using NanoBanana and Kling and couldn't get it where he wanted. On a call with Nate, he learned one trick: copy code from sites you actually like directly into Claude as a reference. A few hours later, he had a sleek, minimal, modern site live at coldstartb2b.com. The opportunity for you: Most people prompt AI from nothing and wonder why the output feels generic. John brought Claude a real example and got dramatically better results. That principle applies to everything you build for clients. Give the AI something to work from, not just a blank brief. This is one of many success stories from AI Automation Society Plus. If you're not a member, you're missing out.
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In the News Anthropic's most powerful AI yet just leaked — and it's a step changeThe news: A data misconfiguration exposed nearly 3,000 unpublished Anthropic assets, revealing the existence of a new model codenamed "Mythos." Anthropic confirmed it's real and describes it as "the most capable we've built to date," with major leaps in coding, academic reasoning, and cybersecurity. They also flagged it as posing "unprecedented cybersecurity risks" and plan a cautious rollout starting with cybersecurity defenders. How it affects automation: If Mythos delivers on what the leak suggests, the ceiling for what AI agents can do is about to move significantly. More capable models mean more complex workflows become viable, but it also means the bar for what clients expect will keep rising. Now is the time to build the fundamentals so you're ready when these models ship. |
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