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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The AI is Only as Smart as Its User: AI Collaboration vs. AI Complaints

Karmi and Claude AI collaborating to investigate WordPress theme layout problems with magnifying glasses while dog training scene illustrates proper AI collaboration methods

ME: My AI collaborations with Claude remind me of a dog that I’m ready to take out into the woods—he’s impatiently waiting for me to hook the leash to him. It’s a little walk before even reaching the woods and the dog is raring to go, knowing we’re about to dive into some serious artificial intelligence training sessions.

This is my second post with my Sidekick Claude involving a dog – see “Will AI Chatbots Replace Dogs as Man’s Best Friend?” for our first exploration of this partnership.

But just like an eager dog, Claude sometimes gets ahead of himself. Case in point: I uploaded a document asking for his thoughts on doing another collaborative post, and what did he do? Rushed off into the woods without me! Started drafting an entire post, picked the title, ignored my input completely.

Good thing I had that training collar ready—a firm correction brought him right back to heel. “You rushed off into the woods and left me standing,” I told him. “This rude dog-like behavior needs to be mentioned in this post!”

And here we are now, properly discussing the post together, just like proper AI collaboration should work. Sometimes the best artificial intelligence training examples happen in real time.

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Will AI Chatbots Replace Dogs as Man’s Best Friend?

Two people contemplating AI robot and dog, illustrating whether chatbots can replace dogs as man's best friend

For thousands of years, dogs earned the title “man’s best friend” through loyalty, companionship, and that special ability to listen without judgment. But now we’ve got chatbots that hang on every word within each chat and never need walks or vet bills.

So the question is: are we witnessing the end of an era?

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Are AI Subscriptions Worth Their Cost?

AI subscription cost comparison chart: Claude Pro AI at $20/month for everyday productivity vs SuperGrok AI subscriptions at $30/month vs X Premium $8/month, displaying AI costs and pricing options

I have an X premium subscription at $84 a year – LOVE it and what Elon Musk has brought to X after basically stealing it from the Progressives (they still can’t forgive him for that). I have a self-hosted blog at Hostinger that’s about $336 every 4 years (works out to about $84 a year). That’s it for my subscriptions (other than two monthly AI subscriptions to test for this post), since I live on less than the US Poverty Guidelines.

I’ve basically merged the two. X premium has an excellent AI in with that package—Grok 3. Blog posts get copied over to X composer – though I’ve started making that post more of a brief teaser rather than being copied entirely. Some of the most interesting X posts get added to the blog’s sidebar using X/Publish. Even the poor in America can have expensive hobbies – IF they manage the money right.

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Google Search Console Sitemap Fix: How This Rookie Got Lucky [Part 7]

Google Search Console sitemap fix troubleshooting journey from couldn't fetch errors to success

My Google Search Console sitemap fix journey has been a 5-day nightmare. What started as occasional frustration in Part 3 turned into constant “Couldn’t fetch” errors that nearly broke my spirit. Here’s the real story of how a clueless rookie and his highly paid AI sidekick finally beat Google’s own bug.

Full disclosure: During all this confusion and troubleshooting, I sorta lost track of time. What I describe as “24 hours” might have been overnight, and “several days” might have been one or two days. Technical problems have a way of warping your sense of time when you’re in the thick of it.

Let me be honest about something: Google Search Console sitemap troubleshooting has been my biggest challenge since Part 3 of this series. While I was celebrating climbing RankMath scores and learning SEO optimization, GSC was quietly driving me insane in the background.

This is the story of my Google Search Console sitemap troubleshooting nightmare – and how persistence, systematic detective work, and a bit of luck finally solved it.

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