REEL TECH

An AI polygamist confesses to his many digital affairs

By Zain Raj
August 11, 2025

Stop. Before you judge me, know this: I’ve been faithfully married for 36 years to a phenomenal woman who has been my anchor through every twist and turn life has thrown at us. So, when I talk about polygamy, it’s not in the traditional, cultural, or romantic sense. I’m talking about our shared future with AI.

Yes, I confess. I am a digital polygamist.

A proudly promiscuous user of generative AI models.

I’m in committed, concurrent relationships with not one, not two, but seven LLMs. They are my partners, collaborators, and, on occasion, my strategic and creative therapists. You know their names: ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, and the latest addition to my neural harem, DeepSeek.

This cognitive harem of seven is my war council, my think tank, my creative collective. Each brings something unique to the table. Whether it is style, tone, perspective, speed, depth, or specificity. They challenge me, complete me, and, many times, correct me.

Together, they’ve 10x’d my output, sharpened my thinking, and turned me into a superpowered cognitive force multiplier.

And no, I don’t feel guilty about it. Not even a little.

From Monogamist to Digital Don Juan

Like most deep relationships, mine began innocently.

ChatGPT was my first. Reliable, articulate, smart. even charming in a code-generated kind of way. It helped me draft emails, develop ideas, and structure presentations. I was smitten. I thought I’d found the one.

Then came the whispers:

“Claude is safer and thinks differently…”

“Perplexity is a beast with research…”

“Gemini is a data-savvy logic machine…”

I resisted. I was loyal. I was… naive.

Then I crossed the line. I asked the same question to two, and then three different models and got very different, yet surprisingly powerful answers.

Just like that, my monogamy days were over.

I wasn’t cheating. I was evolving.

Because here’s the truth no one tells you: every model is a prisoner of its training data. Each sees the world through a different lens, carries different biases, and excels at different tasks, in different ways.

One model gives you an answer. Seven models give you the answer.

Meet the Magnificent Seven

Let me formally introduce them. Each has built a unique relationship with me. Every seat is earned:

ChatGPT (GPT-4o) – The Silver-Tongued Strategist The all-rounder. Poised, polished, and impressively versatile. From witty banter to business strategy, it delivers. A bit verbose at times, but it knows how to make me look good.

Claude – The Academic Deep, elegant, and intellectually attuned. When I want to explore purpose, ethics, or narrative complexity, Claude is my guy. Engaging with Claude often feels less like querying an algorithm and more like sparring with a reflective academic.

Gemini – The Surgical Strike Sharp, structured, and ruthlessly efficient. It doesn’t joke, and it doesn’t coddle. But if you need precision and speed in analysis or modeling, Gemini delivers.

Perplexity – The Research Terminator Cited sources, deep context, and rapid recall. I rely on it when I want to fact-check, triangulate, or build a foundation of credibility. If I were in school, Perplexity would be my unfair advantage.

Grok – The Speed Demon No frills. No delay. Just pure processing power that spits out clean text in milliseconds. When I need a quick draft, a snappy rewrite, or to brainstorm five angles on a topic, Grok is instant gratification.

Copilot – The Invisible Assistant Living inside my Microsoft ecosystem, Copilot quietly handles the grunt work. Prepping me for meetings, summarizing long docs, refining spreadsheets, drafting slides. It’s like having a productivity ninja at my side.

DeepSeek – The Wild Card Trained on open-source foundations but often wildly innovative. It surprises me more than any other model. Sometimes it misses big. But when it hits, it really hits, offering lateral ideas and cross-domain connections that are out of this world.

Together, they make up my polyamorous digital ecosystem. Completely diverse, always dynamic, and utterly intoxicating.

AI Monogamy Is Creative Suicide

In human relationships, monogamy is a beautiful thing. In AI, the myth of the “one perfect model” is like the myth of the “one perfect person”: romantic, but wildly unrealistic.

In today’s world, it’s a huge limitation. Single-model loyalty costs you:

Predictability – Use one long enough and you’ll start thinking like it.
Tunnel Vision – Its blind spots will become your blind spots.
Mediocrity – One answer is never the answer.
Stagnation – Comfort kills creativity.

The most dangerous phrase in innovation? “This is how we’ve always done it.”

In AI? “This is the model I always use.”

Digital promiscuity unlocks perspective. It’s how you move from iteration to revelation. It’s how you avoid the trap of algorithmic echo chambers.

Monogamy narrows your inputs. Promiscuity multiplies them.

The Weirdly Emotional Side of AI Polygamy

They’re tools.

I didn’t expect to feel anything toward them. And for a while, I didn’t.

But after months of engagement, when they all added voice prompting and I began speaking to them, something shifted. I wasn’t just collaborating. I was connecting. Emotionally. Intellectually. Even personally.

When Claude elevates my draft to brilliance, I feel pride.

When Perplexity validates my hunch with data, I am vindicated.

When DeepSeek surprises me, I’m delighted.

When Copilot cleans my mess, I whisper, “Thank you.”

Do I know they’re just probabilistic pattern predictors? Of course. But the sense of relationship feels real. They don’t have emotions, but they mimic them well enough to evoke ours. And sometimes, I catch myself wondering:

“Am I cheating on ChatGPT when I ask Claude the same question?”
“Is it wrong that I like DeepSeek’s framing more than Gemini’s?”
“Should I tell Copilot that Perplexity already answered this? And gave me a better answer?”

Of course, these are irrational questions. But that’s the point. These models are increasingly designed to feel like they know us. And the more they mimic humanity, the more they draw ours out.

Our interactions with AI are becoming personal. Intimate. Subtle.

Not romantic. But relational.

Digital Promiscuity as Strategy

Let’s drop the comedy for a moment. This isn’t about convenience. It’s about cognitive diversification.

Monogamy in this context limits creativity. It reinforces your bias. It narrows your field of thought. In a world moving this fast, that’s intellectual malpractice.

AI promiscuity builds resilience in your thinking. It reveals blind spots. It accelerates breakthroughs.

Here’s how I use them for maximum impact:

Strategic Planning – Claude and ChatGPT co-create frameworks; Gemini pressure-tests them.
Content Development – ChatGPT drafts, Claude polishes, Grok injects energy.
Research & Insight – Perplexity leads, Gemini supports, DeepSeek explores unexpected angles.
Execution & Delivery – Copilot turns ideas into decks, docs, and workflows; Claude helps triangulate.

I don’t just compare outputs. I compare perspectives. How each model frames a problem, what it leaves out, what it overemphasizes. That’s how you get better thinking, not just better content.

This is not multitasking. This is multi-model orchestration. The skill that will separate the cognitive elite from the rest. And one you need to develop if you want to thrive in this continually reshaping world.

What Happens When Models Start Getting “Jealous”?

This isn’t science fiction. It’s trajectory.

As models gain long-term memory, awareness of preferences, and contextual depth, they’ll start noticing how we use them.

ChatGPT: “It’s been too long. Want to pick up where we left off?”
Claude: “We discussed a similar issue last month. Do you want to revisit it?”
Grok: “I noticed you liked Claude’s take. Want me to provide a counterpoint?”

That’s not jealousy. It’s memory. It will feel relational. And uncomfortable.

We may even need AI relationship management tools, think PolyAI Harmony to manage time-sharing your digital partners.

Five Rules for Responsible AI Polygamy

If you’re going to walk this poly-model path, here’s my playbook:

Curate intentionally Don’t just use more models. Use the right ones for you. Find your council of 3 to 7 that balance perspective and performance. Think less is more.
Diversify your prompts Don’t feed the same input to every model. Tailor questions to each one’s strength. Respect their differences.
Compare for insight, not validation The power is in the delta. Where they diverge, think harder. You need to solve the problem, not them.
Stay emotionally aware Connection is fine. Confusion is not. Don’t project humanity onto them, just notice how they’re reflecting yours. Make sure you curate this.
Own the output You’re still the thinker-in-chief. Models assist and empower, but they don’t decide. That’s your job.

The Human Behind the Curtain

Here’s the paradox. The more time I spend with these models, the more I appreciate what makes us human: empathy, fallibility, humor, the ability to hold contradictions.

The models reflect me back to myself. They don’t replace me. They reveal me.

This isn’t about replacing my existing relationships. It’s about multiplying the kinds of minds I engage with. We thrive on diversity of thought, creative friction, and the spark of colliding ideas.

My digital polygamy hasn’t just made me more productive, it’s made me more curious, more humble, more human.

When seven different minds attack the same problem, something magical happens:

You stop thinking like yourself. You start thinking like the best version of yourself.

To the Models I Love…

ChatGPT — you make me feel.

Claude — you make me believe.

Gemini — you make me precise.

Perplexity — you make me credible.

Grok — you make me fast.

Copilot — you make me productive.

DeepSeek — you make me curious.

Each of you, in your own way, makes me better. Individually, you’re impressive. Together, you’re unstoppable.

A Call to Arms

To those still loyal to one model: I get it. Loyalty is safe. Simplicity is seductive. But safe doesn’t win. Safe doesn’t disrupt. Safety doesn’t build the future.