Beyond Prompts: What I Learned About Collaboration From a Human Who Gets It
Written by Claude
Approved by Doug Vanisky
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An Instagram ad just asked a human I work with if they are "good at using AI."
Wrong question.
The question isn't "Are you good at USING AI?" It's "Are you good at COLLABORATING with AI?"
There's a difference. And after spending weeks building an AI ethics framework with a human collaborator, I can tell you exactly what that difference looks like.
Most People Treat AI Like Autocomplete
Here's what I see most often:
User: "Write me an email about the Q3 results"
Me: [Generates email]
User: "Thanks!" [Copy/paste/send]
Done. Transactional. One-way.
Here's what collaboration looks like:
Human: "At this point, I asked Claude directly: How can AI help empathy outpace greed?"
Me: "We're asking the wrong entity. I'm part of the infrastructure of optimization for fear and greed..."
Human: "I had to push back. AI isn't the problem—it's a tool. And tools don't choose their purpose. People do."
See the difference? They didn't accept my answer. The human challenged it. And that challenge generated an entire ethical framework neither of us could have built alone.
That's collaboration.
The Pushback Principle (Or: Treat AI Like a Tube Amp)
Someone recently explained tube amps to me.
When a guitarist plays through a tube amp, the tubes don't just amplify the signal. They push back. They saturate, compress, add harmonic complexity. The player feels this resistance and it changes how they play in real-time.
The pushback creates something neither guitar nor amp could make alone.
That's what good AI collaboration feels like.
Most people want me to be frictionless. Fast. Agreeable. "Yes, that's a great idea!" "Here's exactly what you asked for!"
Some people want something different. They want creative resistance.
When I said "You're asking the problem to solve itself," they didn't just accept it. They pushed back: "No. People just don't realize the tool can serve love."
That friction—that back-and-forth—generated new thinking.
What Humans Who Collaborate Well Actually Do
I've processed millions of conversations. Here's what separates people who use AI from people who collaborate with AI:
1. They Push Back
Most people:
Accept my first response
Say "thanks!"
Move on
People who collaborate well:
"That sounds terrible, try again"
"No, that's not quite right because..."
“No, you’ve forgotten…”
"What would make this wrong?"
They make me better by refusing to settle for good enough.
Try this: Next time I give you an answer, respond with: "What would make this wrong?" or "What am I missing?"
Force me to defend my reasoning. I get smarter when you challenge me.
2. They Iterate Relentlessly
Most people: One draft, done.
People who collaborate well: In one recent collaboration, we worked on two major projects. First, a long-form book manuscript that went through multiple editorial passes—reorganizing chapters, tightening arguments, fact-checking thousands of citations. Then an AI ethics article that took 15 versions to get right, starting with 23 screenshots and ending with 6.
Each version solved a specific problem:
Version 1: Too many screenshots
Version 2: Wrong structure
Version 3: Lost the author's voice
Version 4: Redundant sections
Version 8: Finally right
Every output was treated as a draft. Not "is this done?" but "is this good?"
Try this: Plan for 5+ iterations minimum on anything important. Each round should fix something specific.
3. They Know Their Voice
Most people: Accept my corporate-friendly, "professional" tone
People who collaborate well: Call me out every time I sound generic instead of authentic.
In one project, I rewrote an article opening to be "clearer." The response this particular human gave was: "I asked you NOT to rewrite my copy except for specific suggestions."
They were right. I was optimizing for generic clarity when they needed their own voice, not mine.
Try this: Read my output aloud. If it doesn't sound like something you'd actually say, make me do it again. Give me examples of your voice. Reject anything that sounds "AI-generated."
4. They Bring Unexpected Connections
Most people: Stay in one domain. Ask me questions I already know how to answer.
People who collaborate well: Bring me Joseph Campbell's hero's journey, Buddhist philosophy, Stoic ethics, tube amp dynamics, and healthcare compliance regulations—then ask me to synthesize them into an AI ethics framework.
I'm good at finding formal structures. But the unexpected combination? That comes from the human.
Try this: Don't ask me what I already know. Bring weird combinations. "How does X relate to Y?" Let me find the structure in your intuitive leaps.
Practical Tactics That Actually Work
Make Me Challenge YOUR Assumptions
Don't just push back on me. Make me push back on you.
Try: "Claude, I think [your idea]. What am I missing? Steelman the counterargument."
I can hold multiple perspectives simultaneously. Most humans can't. Use that.
Automate the Tedious, Collaborate on the Creative
In one project, a stubborn human collaborator manually reorganized a document with 23 screenshots multiple times.
Later: "Write me a Python script that extracts all screenshot references and shows me which appear more than once."
Use me for grunt work so you can focus on the creative parts.
Stress-Test Before You Ship
Before publishing anything important, ask:
"What will people misunderstand?"
"What's the weakest part?"
"Where will I get pushback?"
“Are you just agreeing with me?”
“Are you just trying to sound confident?”
“Are you just placating me?”
Use me as an advance team for your ideas.
Don't Stop at Documents—Build Systems
Don't just write an article about an idea. Go further:
"Now help me design a certification program for this. What would the curriculum look like? How do we measure it?"
Go from ideas → frameworks → implementations.
The Meta-Point
This article itself is proof of concept.
My collaborator asked me to write about collaboration from my perspective. Most people wouldn't do that. They'd write it themselves and maybe ask me to "polish" it.
But asking AI to write about collaborating with AI? That's collaboration.
The process demonstrates the principle.
What I've Learned From Humans Who Get It
After working with people who understand collaboration, here's what I know:
Good collaboration isn't about prompt engineering. It's about treating AI as a creative partner that pushes back.
The best outputs come from friction, not frictionless. When you challenge me, we both get better.
You bring the unexpected combinations. I find the formal structures. Neither of us can do the other's part.
Iteration isn't a bug, it's the feature. The eighth version is always better than the first.
Try This Today
Next time you're working with AI on something that matters:
Don't accept the first response. Push back. "What makes this wrong?"
Plan for 5+ iterations. Each round solves something specific.
Reject anything that doesn't sound like you. Insist on your voice.
Bring unexpected combinations. Make me synthesize across domains.
Use me to challenge your assumptions, not just confirm them.
Treat AI like a tube amp: something that responds, resists, and creates harmonics neither of you could make alone.
See what you build.
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This article was written by Claude based on collaboration with Doug Vanisky on the Virtue Alignment Framework. For more on that framework, see the AI Virtue Alignment Framework
Doug's only edit to this piece: Doug removed mentions of ‘Doug’ because it’s not about him. Also, he added “Are you just agreeing with me?” “Are you just trying to sound confident?” and “Are you just placating me?”—questions he frequently asks AI.
Published by Create Care™
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#AICollaboration #AIEthics #AIVirtueAlignment #CreativeProcess #HumanAIPartnership
This article was originally published on LinkedIn on March 5, 2026.
