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Notes on making content that holds up.

Research discipline, AI writing quality, unit economics, and the occasional argument about why renting software stopped making sense.

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AI and Amazon Publishing: 6 Pros and Cons Every Author Should Weigh in 2026

Introduction According to kdpbuilder.com, over 40% of new KDP titles in Q1 2026 involved AI assistance in at least one stage of production, up from an estimated 15% in 2024. That shift has changed how books get written, priced, and found — and it’s happened fast enough that a lot of authors are making consequential […]

10 min read
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Build Your Own SERP Tracking Dashboard with Claude Code (Instead of Renting One)

You’re paying $200+ a month for a rank tracking platform. Leadership asks for a breakdown by product line, filtered by mobile rankings in three target cities. The dashboard can’t do it. You export to CSV, rebuild it in a spreadsheet, and spend your Friday afternoon doing work the tool was supposed to handle. Most SaaS […]

19 min read
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Claude Personalization Tactics Driving Email Marketing Revenue in 2026: The Ownership-First Playbook

Introduction Most marketers use Claude to draft a subject line, then close the tab. The teams seeing real revenue gains are running it across the entire email workflow — systematically, at every stage. The numbers support the approach: AI-powered email programs delivered a 41% revenue lift — benchmarked by Salesforce and reported across multiple industry […]

21 min read
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How Small Businesses Are Winning With Claude Marketing Automation: Real Case Studies

You’re Running the Whole Show. They Have a Marketing Department. Before 9am, you’ve already answered customer emails, updated inventory, chased an invoice, and reminded yourself that you really need to post something on Instagram this week. Meanwhile, your bigger competitor is running A/B tested ad campaigns, automated email sequences, and personalized retargeting — with a […]

19 min read
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Automate Technical SEO Audits with Claude Code: A Complete 2026 Playbook

Manual technical audits eat 20+ hours a month for most in-house teams, and that’s before the follow-up emails, the re-crawls, and the client deck nobody reads past page three. Meanwhile, enterprise SEO suites run $20k–$30k a year for audit capabilities you could script once and own outright. This playbook covers how to automate technical SEO […]

14 min read
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Does Your AI Writing Tool Train on Your Documents? The Honest Answer

You upload a client proposal — or your own strategy doc, the one with real pricing and positioning in it — to an AI tool to tighten it up. Somewhere between hitting "upload" and getting the polished draft back, the question hits: does this thing now learn from what I just gave it? That question […]

15 min read
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Scaled Content Abuse: Google’s Spam Policy Explained

Someone’s traffic drops, they mention they used AI to help write the post, and within a day a forum thread has decided any AI use triggers a penalty. That’s not what Google’s policy says. Worth reading the actual text before reacting to a thread title. You don’t need a legal brief here. You need a […]

11 min read
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Is AI Content Against Google’s Terms of Service? What Google Actually Says (Quoted and Dated)

You’ve drafted the content. Your finger’s hovering over publish. Then the doubt hits: is this against Google’s rules? No, it isn’t. Using AI to write content is not against Google’s Terms of Service, and there’s no blanket ban on AI-authored content in Google Search. Google judges content by its quality and intent, not by whether […]

12 min read
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E-E-A-T for AI Content: What Each Letter Really Means (Straight From Google)

If you’re using AI to help write content, the question is whether it can satisfy E-E-A-T or whether you’re quietly undermining your rankings by using it. The short answer is that it can — the longer answer requires understanding what E-E-A-T actually measures. We build a tool around these principles, so we spend a lot […]

10 min read
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