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  1. Start product recommendations with your best sellers and clear rules.

  2. Search Console exports separate queries from pages, hiding which URL Google shows for each term.

  3. A guest can start with one offer, then qualify for another when the customer context becomes known.

  4. A checkout countdown can create urgency or support a real delivery promise.

  5. I run Claude Code and Codex daily, sometimes on the same repository.

  6. Login proves who is at the screen.

  7. Using Claude Code is a loop: ask, change, check, decide.

  8. The control layer of my work system is markdown and small scripts.

  9. Most of my AI pipeline isn't AI

    By volume, most of my AI pipeline is plain Python.

  10. Microsoft Graph and IMAP were off the table, so I used Power Automate, OneDrive sync, and one 15-minute scheduled task to pull email and calendar into a local inbox.

  11. I put the Claude Code tools I reuse across projects into one public toolshed: generators, workflow commands, anti-slop checks, search visibility, rule packs, and prompts.

  12. My work context was scattered across email, meetings, documents, and notes.

  13. I expect AI-assisted teams to become smaller and organize around complete workflows.

  14. A full site redesign in four calendar days, from design system to admin stack.

  15. AI coding tools edit files.

  16. Klarna reported faster support and stable satisfaction, while its CEO later said its customer-service cost-cutting went too far.

  17. It took a month to build and three to four months to get permission.

  18. How to run a multi-market app with one shared codebase, local deployments, clear decision rights, and room for real market differences.

  19. AI can make execution cheaper, but it also exposes weak decisions faster.

  20. The app consolidation playbook

    Large app portfolios grow through local decisions, acquisitions, and separate teams.

  21. AI's immediate value is removing repetitive work from experienced people.