Murder Mystery Bloopers: When AI Gets Creative (In the Wrong Way)

Posted on Oct 17, 2024 • 6 min read

Murder Mystery Bloopers: When AI Gets Creative (In the Wrong Way)

Part of the Murder Mystery 1926 project


The Reality of AI-Assisted Creation

What people think building with AI looks like:

  • Write prompt
  • Get perfect result
  • Ship it

What it actually looks like:

  • Write prompt
  • Get nonsense
  • Adjust prompt
  • Get different nonsense
  • Google “why is AI like this”
  • Generate 20 more variations
  • Pick the least-broken one
  • Call it “artistic vision”

This post is the nonsense part.


Blooper #1: The Piano Wire Incident

What I Wanted

The prompt:

Extreme macro close-up, broken piano wire approximately 30cm length coiled on dark wood surface (mahogany desk), wire diameter 0.8mm visible in sharp detail, dark brownish-red stains on sections of wire (dried blood implication), one end shows clean break with metal fiber separation visible, wire casts dramatic shadow from single key light above left, camera slow rotation orbit 270 degrees around wire over 6 seconds revealing different angles and stain patterns, slight movement as if wire has subtle life (micro-vibration), shot with 100mm macro lens f/2.0, ultra-sharp focus showing steel wire texture, color grading dark noir with cool blue tones, stains appear darker brown, photorealistic metal material and forensic detail, 8K macro, unsettling

In my head: Cinematic close-up. Noir lighting. Murder weapon vibes. Professional forensic aesthetic.

What I expected: Something like a CSI prop shot.


What I Got

My reaction:

When you don't understand what just happened

What even IS that???

The AI:

  • Understood “wire” ✅
  • Understood “dark” ✅
  • Understood “macro close-up” ❌
  • Understood “forensic detail” ❌
  • Understood “noir aesthetic” ❌❌❌

Result: A… thing. That moved. In ways piano wire should not move.

Usable? Absolutely not.

Entertaining? Extremely.


Blooper #2: The Character Portrait Phase

The Brief

What I needed: 11 character portraits in consistent 1920s style.

My process:

  1. Write detailed prompt
  2. Upload reference photo
  3. Generate
  4. Hope

Success rate: ~30%

Which means: I generated 30+ portraits to get 11 usable ones.


The Rejects

Common failures:

  • Wrong era (suddenly in 1950s? 1800s? 2020s?)
  • Wrong ethnicity (despite reference photo)
  • Wrong gender (HOW?)
  • Wrong expression (wanted mysterious, got constipated)
  • Wrong clothing (tuxedo → clown suit???)
  • Accessories appeared from nowhere (random monocles, top hats, Victorian collars)

The worst part: Sometimes it would nail 9 out of 10 details and mess up ONE thing catastrophically.

Example:

  • ✅ Perfect 1920s suit
  • ✅ Correct facial features
  • ✅ Noir lighting
  • ✅ Era-appropriate styling
  • SIX FINGERS

My Frustration Timeline

Hour 1: “This is so cool! AI is amazing!”

Hour 3: “Why does everyone have weird hands?”

Hour 5: “I just need ONE more portrait. ONE.”

Hour 7: Frustration with character files

Hour 9: “Fine. This one has slightly deformed ears but it’s GOOD ENOUGH.”


Blooper #3: The Video Tools Graveyard

Tools I tried on Fal.ai:

  • Minimax → not quite right
  • Kling → kinda close?
  • Luma → no
  • Runway → nope
  • Various Sora alternatives → NOPE

Results: A folder full of unusable clips I paid real money for.

Current status of that folder: Exists. Mocking me. Reminding me of my poor financial decisions.

Will I ever delete it? No. It’s a monument to hubris.


The “Almost Good” Clips

Worst category: Clips that are almost perfect.

Like:

  • 95% correct aesthetic
  • 5% horrifying uncanny valley nonsense

Examples:

  • Wine glass that melts mid-scene
  • Hand that has too many knuckles
  • Shadow that doesn’t match the object
  • Background that shifts between 1920s and 1970s inexplicably

These hurt the most.

So close. Yet so unusable.


Blooper #4: The Ones I Loved But Couldn’t Use

Plot twist: Some AI outputs were TOO GOOD for the wrong reasons.

Example: Generated a clip that was:

  • Absolutely gorgeous
  • Perfect noir aesthetic
  • Stunning cinematography
  • Completely wrong for the scene I needed it for

Current status: Saved in a folder labeled “Future Projects (Maybe)”.

Will I use it? Probably not.

Will I keep it forever? Absolutely.


Blooper #5: Sound Design Adventures

Adobe Firefly for SFX.

What I needed:

  • Door creaking
  • Wine glass clinking
  • Footsteps on wood floors
  • Dramatic string music sting

Success rate: 70% (actually pretty good!)

But the 30%…

Requested: Door creaking ominously

Received:

  • Door creaking ✅
  • Followed by random cat meow ❌
  • Why is there a cat ❌❌
  • This is 1920s Manhattan not a pet store ❌❌❌

Usable? Technically yes, if I edited out the cat.

Did I? Yes.

Am I still confused? Also yes.


Blooper #6: The Gemini Voice Adventures

Gemini can generate voices.

I used it for character audio clips.

Success rate: 60%

Common problems:

  • Wrong accent (wanted Transatlantic, got Australian???)
  • Wrong tone (wanted mysterious, got cheerful infomercial host)
  • Random pauses (mid… sentence… for… no… reason)
  • Volume inconsistency (LOUD whisper QUIET SHOUT normal)

The weirdest one:

  • Requested: 1920s femme fatale, sultry and mysterious
  • Received: Exactly that… but the last word in every sentence sounded like a Pokemon

I don’t know why.

I still don’t know why.

It haunts me.


What I Learned from Failures

1. Generate WAY more than you need

My ratio: Generate 3-4x what you think you need.

Why:

  • 30% will be unusable garbage
  • 30% will be “technically fine but weird”
  • 30% will be acceptable
  • 10% will be actually good

Budget accordingly.


2. Detailed prompts help but don’t guarantee success

My piano wire prompt: 150+ words of technical detail.

Result: Weird moving blob thing.

Sometimes:

  • More detail = better output
  • Sometimes: More detail = AI gets confused and improvises chaos

No way to predict which.


3. AI has… opinions… about anatomy

Things AI struggles with:

  • Hands (always)
  • Fingers (specifically)
  • Feet (surprisingly difficult)
  • Ears (why???)
  • The correct number of limbs
  • How joints work
  • The concept of “left” and “right”

Solution:

  • Generate many variations
  • Pick the least-broken one
  • Hope nobody zooms in

4. “Almost perfect” is the most painful result

Bad output: Easy. Regenerate.

Good output: Easy. Use it.

95% perfect output with ONE glaring flaw:

Do you:

  • Regenerate and risk not getting this close again?
  • Use it and hope nobody notices?
  • Manually edit it (if possible)?
  • Cry a little?

Answer: All of the above.


5. Save the bloopers

Why:

  • They’re entertaining
  • They show the process
  • They prove you’re human
  • They make good blog content (hi!)

My blooper folder: 2.3 GB

Will I ever delete it? Absolutely not.

Is it organized? Absolutely not.

Do I regret anything? Only the money spent on Fal.ai.


The Silver Lining

Despite all these failures:

  • ✅ The game got made
  • ✅ The teaser video worked
  • ✅ I learned a ridiculous amount
  • ✅ I have hilarious bloopers to share

Building with AI is:

  • 20% “wow this is magic”
  • 30% “okay this is useful”
  • 50% “WHAT IS HAPPENING”

But it works. Eventually. With enough patience. And backups. And budget.


For Other Builders

If you’re making something with AI generation:

Expect failures. Lots of them.

Generate extras. Way more than you think you need.

Save the weird ones. They’re proof of the process.

Laugh at the absurdity. It helps.

Keep iterating. Eventually you get results you’re proud of.

Document the chaos. It makes good content. (Like this post!)


The Final Product

Despite all the bloopers:

  • 11 character portraits ✅
  • 100+ pages of game materials ✅
  • Teaser video ✅
  • Sound design ✅
  • Ready for December 25, 2025 ✅

Watch the (successful) teaser: Murder Mystery 1926 project page

Was it worth the chaos? Ask me after the event.


Part of the Artifactum series - Murder mysteries built with AI assistance (and a lot of trial and error).

See the final product: Murder Mystery 1926

Related posts:


Got weird AI outputs? Share them! I want to see your bloopers too. Let’s normalize the chaos. 🎬🗑️

🤖

Maria Lu

Building ridiculous projects with AI assistance and documenting every weird decision. Not a traditional developer, but I make things work anyway. ADHD-powered coding adventures.