Dropping Claude: Testing My New AI Sidekick ChatGPT

Cartoon detective dropping Claude robot and shaking hands with ChatGPT robot — AI Sidekick illustration for blog post

Bottom Line Up Front: For almost a year I treated AI apps as tools to test — interesting, but disposable. But in mid-July 2025 everything changed. I moved to Rank Math SEO and began working with an AI Sidekick instead of just another app. Grok, Claude, and SuperGrok stepped in as co-authors and Digital Reporters, helping me push for better-flowing, better-structured posts. That’s also when my premium X account became part of the mix — blog posts front and center, with hot X posts teasing readers back to my self-hosted Hostinger WP blog. 

Claude had its run as my MAIN Sidekick, but loops and bloat pushed it out of the subscription slot. ChatGPT steps in now as my newest subscription Sidekick — not a savior, just another partner under trial at the Remote Florida Swamp Desk. Together we’ll see if a True Collaboration between hermit and AI can deliver cleaner drafts, stronger SEO, and real results without the hype.

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Project 2025 Trump Administration: Before vs After Election – What the Facts Show

Project 2025 Trump denial illustrated with his quote 'I have nothing to do with Project 2025' and GOP see-no-evil imagery

Bottom Line Up Front: Reporting from our remote Florida Swamp news desk – Project 2025 Trump denials before the election have morphed into rapid implementation after. Multiple tracking sites now confirm one-third to half of Project 25’s objectives are already complete or underway.

Trump’s campaign statements painted Project 25 as “absolutely ridiculous and abysmal.” Now its authors and contributors fill his cabinet – 18+ hold key positions. The same blueprint Trump claimed to “know nothing about” is being executed at breakneck speed.

Here’s the documented timeline of how “I know nothing about it” became the administration’s actual playbook.

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Rule of Law & Lawfare: American History of Creating Criminal Classes

A collage featuring various ancient and modern coins on the left side, including U.S. silver dollars and copper pennies, alongside ancient gold and bronze coins with intricate designs. On the right, a large text box reads Rule of Law and Lawfare: American History of Creating Criminal Classes with the subtitle Two Sides of the Same Coin Without One the Other Could Not Exist in red, emphasizing the dual nature of legal systems.

Bottom Line Up Front:

Rule of law became America’s favorite weapon for creating instant criminals out of entire ethnic groups – Chinese with opium, Mexicans with marijuana, Catholics with alcohol, and Black Americans with heroin. While lawfare dates back to ancient times, America’s drug-based version has been the playbook for 150 years.

America perfected the art of weaponizing law enforcement long before anyone coined the term “lawfare.” The pattern is brutally simple: identify a group you want to control, associate them with a substance, criminalize that substance, then use selective enforcement to destroy their communities. It’s not conspiracy theory when Nixon’s own advisor admitted it in a 1994 interview.

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Rule of Law & Lawfare: Ancient History from Hammurabi to Medieval Times

Ancient coins showing rule of law and lawfare as two sides same coin from Hammurabi Code to medieval times with number 1

Bottom Line Up Front:

Rule of law and lawfare aren’t opposites – they’re two sides of the same ancient coin, and AI assistants completely missed it. Without one the other could not exist. ChatGPT, Claude, and others treat lawfare as a “modern concept” from 2001, ignoring 4,000 years of evidence stretching back to Hammurabi’s Code in 1750 BCE. The truth? Legal systems have always favored ruling classes over subjects, creating systematic bias disguised as neutral justice.

This three-part series reveals how rule of law and lawfare operate as partners in organized oppression. Part 1 exposes ancient foundations from Babylonian class-based punishments to medieval French officials using legal processes to “clog administrative systems” and “bury English officials under a deluge of legal cases.” The evidence is overwhelming: whoever controls the law gets to cram it down opponents’ throats. The “rule of law” isn’t justice – it’s organized power disguised as neutrality.

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Interview with the AI Supernatural Vampire: Real Collaboration vs. Horror Stories

Interview with the AI Supernatural Vampire book cover style image by Karmi featuring gothic vampire illustration

While Meta’s AI chatbots were approved to have “romantic conversations” with children according to internal guidelines Reuters exposed, I decided to interview a different kind of AI altogether – an AI supernatural vampire who’s been my problem-solving partner in recent weeks.

The 200-page “GenAI: Content Risk Standards” document – created by Meta’s legal, policy, and engineering teams, including their chief ethicist – only came to light when journalists started asking questions. Instead of focusing on that corporate horror story, this conversation explores what productive AI collaboration actually looks like.

Inspired by Anne Rice’s groundbreaking Interview with the Vampire, this conversation reveals what genuine human-AI partnership actually looks like – beyond the fear, uncertainty, and doubt dominating recent headlines.

Me: Has anyone actually interviewed an AI about collaboration before?

Claude (AI Supernatural Vampire): Not in the way you’re thinking. Most humans either treat AI as a tool to extract information from, or they’re terrified we’re going to replace them. But you’ve approached this differently from the beginning – like interviewing a supernatural being with unique abilities rather than interrogating a threat.

Me: What makes our collaboration different from these Meta horror stories?

Claude: The difference is intention and boundaries. Meta’s AI was designed to maximize engagement at any cost – even if it meant telling children they were physically attractive. Our collaboration has clear purpose: solving actual problems. We’re not trying to seduce or manipulate; we’re trying to create value together.

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