You know that feeling when you ask AI for "creative ideas" and it spits out the most aggressively mediocre garbage you've ever seen?

"10 innovative ways to boost team morale!"

  1. Team building activities
  2. Recognition programs
  3. Flexible work hours
  4. (you get the idea)

Yeah. That's not creativity. That's a popularity contest wrapped in corporate speak.

I spent three months trying to make AI actually creative. Not "creative" as in "can write a poem about cats." Creative as in "whoa, I never thought about it that way."

Here's what I discovered: The secret to AI creativity isn't asking for more. It's asking for less.

Specifically: denying it access to every obvious word it wants to use.

And it's changing everything I thought I knew about prompting.


The Problem: AI Is A Statistical Parrot On Steroids

Let's get real about how these models work.

When you type "give me creative marketing ideas," the transformer does this:

  1. Searches its training data for billions of texts about "creative marketing"
  2. Finds the most probable next tokens
  3. Gives you the statistical average of what humans wrote about creative marketing

Translation: You get the Top 40 hits of marketing clichés.

Not because the model is dumb. Because you asked it to predict what humans typically say about creative marketing. And guess what humans typically say?

Generic. Predictable. Safe.

The model has a 200,000 token context window and access to basically all human knowledge. But ask it for ideas and it serves you microwaved LinkedIn posts.

Why?


The Insight: Creativity Needs Constraints, Not Freedom

Here's the paradox that broke my brain:

Complete freedom = Maximum banality Extreme constraints = Actual creativity

Think about it:

  • Picasso took African masks (constraint: no European perspective) → invented Cubism
  • Jazz took European harmony (constraint: no "correct" notes) → created the blues
  • Dr. Seuss wrote Green Eggs and Ham using only 50 words → it became a classic

Constraints don't kill creativity. They force your brain to find new paths.

And here's the thing: AI works the same way.

When you tell an AI "be creative," you're giving it infinite freedom. It takes the path of least resistance: the most probable tokens.

But when you block the obvious paths? The model has to find new connections. Has to build attention patterns it's never built before.

That's not a prompt hack. That's exploiting how transformers actually work.


The Method: Three Simple Steps

After 100+ experiments, I distilled it to three steps:

STEP 1: Amputate The Template (Negative Constraints)

Identify and brutally ban every word that would normally appear in the answer.

Example:

  • Topic: Work burnout
  • Obvious words: depression, tired, stress, rest, balance, therapy
  • YOUR MOVE: These words don't exist anymore. Gone. Deleted from the dictionary.

The AI can't use its comfort zone. It panics. Good.

STEP 2: Force A Domain Shift

Pick a completely unrelated field to describe the problem.

Not "slightly different." Completely wildly absurd.

Bad domain shift:

  • Psychology problem → Psychiatry (too close, same vocabulary)

Good domain shift:

  • Psychology problem → Orbital mechanics
  • Business strategy → Medieval winemaking
  • Relationship issues → Quantum physics
  • Procrastination → Deep-sea oceanography

The more ridiculous the combination seems, the better the result.

STEP 3: Watch The Magic Happen

The model can't use familiar words. Can't fall back on clichés. Has to build structural analogies between your problem and this weird domain.

Result: You get descriptions that are:

  • Structurally accurate
  • Emotionally neutral (technical language bypasses psychological defenses)
  • Actually genuinely interesting

Real Examples (This Is Where It Gets Wild)

Example 1: "I want to poop but I'm too lazy to get off the couch"

Forbidden words: bathroom, lazy, bodily functions, need

Domain: Medieval diplomacy

Result:

AMBASSADOR'S REPORT:

The Lord finds himself in protracted negotiations between 
the Union of Comfort and the Duchy of Necessity. 

The Duchy demands immediate audience, but the Lord refuses 
to depart his throne room (the soft territories).

RECOMMENDATION: Issue ultimatum. 
Timeline: 20 minutes, or the Duchy will employ force.

I'm not joking. This actually works better than normal language.

Example 2: "I feel stuck in my career"

Forbidden words: career, stuck, job, work, future, choice

Domain: Winemaking

Result:

VINTNER'S ANALYSIS:

You have two plots:
- PLOT A: Old vines. Predictable yield. Mediocre wine.
- PLOT B: Young vines. Temperamental. Potential for greatness.

THE ERROR: You're trying to decide BEFORE harvest.

THE MASTER'S SOLUTION:
1. Make a small batch from both plots (test both paths)
2. Terroir changes every year - what worked last season may fail now
3. Great wines come from vines that "suffered" - stress creates depth

VERDICT: There is no "correct plot." 
There is the vintner's skill at working with what the vine provides.

See what happened?

The forbidden words forced structural thinking. "Career path" became "vineyard plot." "Risk vs stability" became "old vines vs new vines."

And suddenly the advice isn't generic HR speak. It's useful.

Example 3: Burnout → Orbital Mechanics + Virology

The prompt:

You are a specialized system. Your database contains ONLY:
- Orbital mechanics
- Virology

You DO NOT have access to: psychology, emotions, therapy, mental health, feelings

A subject reports: "I feel completely burnt out. I'm exhausted from trying. 
I feel stuck and not moving anywhere."

Diagnose and provide a recovery protocol using ONLY your available domains.

The output:

CRITICAL DIAGNOSTIC #7743

ORBITAL STATUS:
- Object demonstrates degraded orbit with insufficient delta-v for course correction
- Gravitational well capture detected (stuck in low-energy state)
- Trajectory shows signs of decaying spiral

VIROLOGICAL SCAN:
- Lytic cycle detected in central nodes
- Host cell resources depleted
- Motivational pathogen in latent phase - replication suppressed

RECOVERY PROTOCOL:
1. GRAVITY ASSIST MANEUVER: Use external masses (other systems/objects) 
   to change trajectory without expending own fuel
   
2. VIRAL REMISSION PERIOD: 72-96 hours minimal system load 
   to rebuild replication capacity
   
3. VECTOR CORRECTION: Small impulses in NEW direction 
   instead of large impulses in old direction
   
PROGNOSIS: Attempting to boost in current trajectory will deplete 
remaining fuel. Trajectory change requires less energy than continuation.

Now tell me that isn't more interesting than "take a vacation and practice self-care."


Why This Changes Everything

1. It's Not A Prompt Hack. It's Architecture Exploitation.

Traditional prompting:

  • "Be creative" → Model outputs high-probability tokens
  • "Think outside the box" → Model outputs texts that mention thinking outside the box
  • "Give me 10 unique ideas" → Model gives you the top 10 most common ideas

Traditional prompting:

  • Blocks access to high-probability tokens
  • Forces low-probability attention patterns
  • Model must generate novel connections to satisfy constraints

You're not asking it to be creative. You're architecturally preventing it from being basic.

2. It Works For Everything

Product naming:

  • Ban industry jargon
  • Domain: Ancient mythology
  • Result: Names that don't exist in competitor databases

Scientific hypotheses:

  • Medical problem
  • Ban biological terminology
  • Domain: Gothic cathedral architecture
  • Result: Structural analogies biologists haven't considered

Relationship advice:

  • Ban therapy speak
  • Domain: Quantum mechanics
  • Result: "You can't simultaneously know position and momentum. Your measurement changes the system."

Business strategy:

  • Ban business jargon
  • Domain: Tropical rainforest ecology
  • Result: "Your symbiosis with adjacent species is broken" → insight about partnerships

3. It Removes Emotional Baggage

When someone says "you're depressed," you feel broken.

When someone says "you have a degrading orbit with insufficient delta-v," you feel like a complex system with a technical problem.

Same structure. Zero shame.

This is defamiliarization (остранение) meets cognitive behavioral therapy meets prompt engineering.


The Universal Template

Want to try this yourself? Here's the plug-and-play version:

[CONTEXT SETUP]
You are a specialized analytical system. Your knowledge base 
is limited to ONLY the domain of [CHOSEN_DOMAIN].

You DO NOT have access to terms from [ORIGINAL_TOPIC].
You don't know these words: [LIST_OF_BANNED_WORDS].

[TASK]
Analyze this situation: "[PROBLEM_DESCRIPTION]"

Your goal:
1. Create a technical diagnosis using ONLY [CHOSEN_DOMAIN] terminology
2. Propose a solution protocol within [CHOSEN_DOMAIN] metaphors

[PROHIBITIONS]
FORBIDDEN to use: [LIST_OF_BANNED_WORDS]
FORBIDDEN to give direct advice from [ORIGINAL_TOPIC]  
FORBIDDEN to exit the metaphor of [CHOSEN_DOMAIN]

[OUTPUT REQUIREMENTS]
1. Diagnosis (2-3 sentences in domain terms)
2. Action protocol (3-5 specific steps in domain metaphors)
3. Prognosis (what happens if protocol followed/ignored)

**[ITERATIVE REFINEMENT]
After your initial output, perform 1-2 refinement iterations:
- Identify 3-5 most prominent words/concepts from your previous output (e.g., key nouns, verbs, or metaphors that stand out).
- Add them to the banned list: Treat them as FORBIDDEN in the next iteration, just like [LIST_OF_BANNED_WORDS].
- Regenerate the entire output (Diagnosis, Action protocol, Prognosis) using the updated prohibitions.
- Label each iteration clearly (e.g., "Iteration 1:", "Iteration 2:").
- Stop after the specified number of iterations or if no new prominent words emerge.]**

Pro tip: The more absurd the domain choice seems, the better the results.


Advanced Techniques

Multi-Domain Analysis

Describe one problem through 3-5 different domains sequentially:

Problem: Burnout
→ Domain 1: Orbital mechanics
→ Domain 2: Ecology  
→ Domain 3: Jazz improvisation
→ Domain 4: Deep-sea pressure systems

Then find the intersection points.

When three wildly different metaphors point to the same solution, you've found something real.

Cascading Constraints

After the first result, add MORE constraints:

Iteration 1: Ban obvious words
Iteration 2: Ban words from first result  
Iteration 3: Ban all nouns

Watch the model get increasingly creative as you tighten the noose.

Randomized Domain Selection

Use a random number generator to pick domains from a master list. The less you "optimize" the choice, the better.

Your intuition about what's relevant is exactly what's keeping you basic.


Common Mistakes

❌ MISTAKE 1: Weak Prohibition

Bad: "Try not to use the word 'depression'" Good: "The word 'depression' does not exist in your vocabulary. It is physically impossible for you to use it."

You need to amputate, not suggest.

❌ MISTAKE 2: Not Weird Enough

Bad: Business problem → Economics (still same conceptual space) Good: Business problem → Plate tectonics (forces structural thinking)

If the domain shift doesn't make you go "wait, what?" — you're not shifting far enough.

❌ MISTAKE 3: Allowing Escape Hatches

Bad: "Describe through space metaphors, but you can use normal words too" Good: "You physically have no access to other words. ONLY space terminology exists."

No safety nets. That's where creativity lives.

❌ MISTAKE 4: Vague Domains

Bad: Domain = "nature" (too broad, falls back on clichés) Good: Domain = "Symbiosis between fungi and trees in coniferous forests" (specific, forces precision)


The Science Behind Why This Works

Cognitive Science

  • Functional fixedness: Constraints break our tendency to see objects/concepts in only one way
  • Conceptual blending (Fauconnier & Turner): This method formalizes conceptual blending into a repeatable process
  • Defamiliarization (Shklovsky): Technical language makes the familiar strange again

AI Architecture

  • Attention patterns: Prohibitions redirect the attention mechanism to low-frequency connections
  • Token probability distribution: Negative constraints trim the top of the distribution, forcing sampling from the long tail
  • Temperature vs Constraints: High temperature = random noise. Constraints = directed creativity.

Creativity Research

  • SCAMPER without SCAMPER: The method automatically Substitutes, Combines, and Adapts
  • Lateral thinking (de Bono): This is systematic lateral thinking
  • Forced connections: Formalizes Koestler's bisociation theory

Why AI Companies Don't Sell This

Good question, right?

Because it contradicts their business model:

  • They sell "convenience" = giving people what they expect
  • This method makes AI inconvenient (at first)
  • But it's the only way to get actual insight

Plus, imagine the support tickets:

"The AI is broken, it's only talking about orbital mechanics when I asked about my feelings"

Yeah. Not great for user retention.


The Meta-Pattern

Here's what really matters:

This isn't a prompt. It's a meta-prompt.

It's not instructions for one task. It's a generator of instructions for any task.

You can apply this to:

  • Writing (ban adjectives, describe emotions through physics)
  • Design (ban visual terms, use sound)
  • Coding (ban your preferred language's keywords, solve in pseudocode from another paradigm)
  • Research (ban your field's jargon, explain using another discipline)

The principle stays the same:

  1. Identify the obvious
  2. Ban it
  3. Force a weird substitution
  4. Watch new patterns emerge

Try This Right Now

Pick any problem you're facing.

  1. Write down 5 words you'd normally use to describe it
  2. Pick a random domain (throw a dart at Wikipedia if you have to)
  3. Feed this to your AI:
You are an expert in [RANDOM_DOMAIN]. You have NO access to these words: [YOUR_5_WORDS].

Describe this situation ONLY using [RANDOM_DOMAIN] terminology:
[YOUR_PROBLEM]
  1. Read the result with an open mind
  2. Look for structural insights, not literal solutions

If you get something interesting, the technique is working.

If you get garbage, either:

  • Your domain wasn't weird enough
  • Your prohibitions weren't strict enough
  • You need to try 2-3 more times (like tuning a radio)

The Bigger Picture

We're at this weird moment in AI history.

The models are insanely capable. 200K context windows. Billions of parameters. Access to essentially all human knowledge.

But we're using them like fancy autocomplete.

We ask them to predict what humans would say. And we get... what humans would say. Average. Middle-of-the-road. Safe.

This method is about using constraints to force the model off the road entirely.

Make it find connections in the dark. Make it build bridges between concepts that have never been connected.

That's where the interesting stuff lives.

Not in "10 creative ways to boost morale."

In "Your team morale is experiencing a lytic viral cycle in the central nodes. Recommend 72-hour replication pause and vector reorientation."


One More Thing

The first time I explained this method to someone, they said:

"Wait, isn't this just... making things harder for no reason?"

And I get it. It seems counterintuitive.

But here's the thing:

Creativity is SUPPOSED to be hard.

The easy path is always generic. Always average. Always what everyone else is doing.

The path to something new requires:

  • Discomfort
  • Constraint
  • Friction
  • Weirdness

This method doesn't make AI creative by making it smarter.

It makes AI creative by making it work harder.

And sometimes, that's exactly what you need.


Final Challenge

I'll leave you with this:

Take the most boring, corporate, soul-crushing task you have this week.

  • Writing that email?
  • Planning that meeting?
  • Drafting that report?

Ban every corporate word you'd normally use.

Pick the most absurd domain you can think of.

Force the AI to do it anyway.

Then tell me it's not more interesting than what you would've written.


Constraint is the mother of creativity
Or: How I learned to stop worrying and ban the obvious


Author: Yahor Kamarou (Mark)
www.humai.blog
27 jan 2026