Run: 2026-02-19-01KHTYFTHNCDS66QWF2403Y1AQ

Run Details

Duration:
14.6s
Cost:
$0.003108

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The abandoned Tube station beneath Camden reeked of damp concrete and something else—a metallic, acrid scent that made Detective Harlow Quinn's nostrils flare. Her weathered leather boots echoed against the curved tunnel walls, each step precise and measured. The body lay crumpled near an old maintenance doorway, limbs twisted at unnatural angles. Quinn knelt, her salt-and-pepper hair catching the harsh forensic lights. Her worn leather watch caught a glint as she pulled on latex gloves. "Not a standard homicide," she muttered. Eva Kowalski stood nearby, her curly red hair escaping from a messy bun, round glasses perched nervously on her nose. She clutched her leather satchel like a shield. "The sigil markings suggest something... different," Eva said, tucking a stray hair behind her left ear. Quinn's sharp jaw clenched. The victim's skin bore intricate carved symbols—not tattoos, but fresh cuts that seemed to shimmer and shift when viewed from different angles. Blood pooled around the body, but something about its consistency seemed off. Thicker. Almost viscous. "You're thinking supernatural," Quinn stated. It wasn't a question. Eva shifted her weight. "The positioning matches ritual markings I've seen in restricted archive documents. This looks like a Shade boundary ritual." Quinn's brown eyes narrowed. She'd seen enough unexplained cases—particularly since losing her partner three years ago—to know when something defied standard investigation protocols. Her military precision training warred with the inexplicable evidence before her. The body's hands were positioned in an elaborate gesture, fingers splayed in a pattern that suggested deliberate placement. No signs of struggle. No defensive wounds. "Talk to me about these symbols," Quinn demanded. Eva pulled a small notebook from her satchel, flipping pages covered in precise academic handwriting. "They're not just decorative. Each mark represents a dimensional boundary marker. This suggests the killer—or whatever performed this—was mapping something. Creating a threshold." Quinn stood, her height commanding the cramped tunnel space. "Mapping what?" A distant sound echoed—something between a whisper and a mechanical click. Quinn's hand instinctively moved toward her holster. "We're not alone down here," she said quietly. The tunnel's shadows seemed to pulse, just for a moment. Something watched them. Something that wasn't entirely visible.
total_cost0.003108

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount1
adverbTags
0"she said quietly [quietly]"
dialogueSentences8
tagDensity0.625
leniency1
rawRatio0.2
effectiveRatio0.2
86.34% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount366
totalAiIsmAdverbs1
found
0
adverb"nervously"
count1
highlights
0"nervously"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount366
totalAiIsms12
found
0
word"echoed"
count2
1
word"measured"
count1
2
word"glint"
count1
3
word"standard"
count2
4
word"jaw clenched"
count1
5
word"intricate"
count1
6
word"weight"
count1
7
word"whisper"
count1
8
word"mechanical"
count1
9
word"pulse"
count1
highlights
0"echoed"
1"measured"
2"glint"
3"standard"
4"jaw clenched"
5"intricate"
6"weight"
7"whisper"
8"mechanical"
9"pulse"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"jaw/fists clenched"
count1
highlights
0"eyes narrowed"
1"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences32
matches(empty)
8.93% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences32
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences35
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords357
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
12.07% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount290
uniqueNames7
maxNameDensity2.76
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Tube1
Camden1
Detective1
Harlow1
Quinn8
Eva4
Kowalski1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Eva"
4"Kowalski"
places(empty)
globalScore0.121
windowScore0.667
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences18
glossingSentenceCount2
matches
0"cuts that seemed to shimmer and shift when viewed from different angles"
1"something between a whisper and a mechanical cl"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords2.801
wordCount357
matches
0"not tattoos, but fresh cuts"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences35
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs16
mean22.31
std11.97
cv0.536
sampleLengths
038
137
26
328
416
541
69
722
834
925
108
1138
1211
1318
148
1518
94.30% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences32
matches
0"were positioned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs50
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences35
ratio0.114
matches
0"The abandoned Tube station beneath Camden reeked of damp concrete and something else—a metallic, acrid scent that made Detective Harlow Quinn's nostrils flare."
1"The victim's skin bore intricate carved symbols—not tattoos, but fresh cuts that seemed to shimmer and shift when viewed from different angles."
2"She'd seen enough unexplained cases—particularly since losing her partner three years ago—to know when something defied standard investigation protocols."
3"A distant sound echoed—something between a whisper and a mechanical click."
99.83% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount297
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.026936026936026935
lyAdverbCount6
lyAdverbRatio0.020202020202020204
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences35
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences35
mean10.2
std6.51
cv0.638
sampleLengths
023
115
214
310
413
56
620
78
816
94
1022
1112
121
132
145
154
164
1718
184
1919
2011
2118
224
233
248
2515
2623
279
282
2911
307
318
3210
333
345
80.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5142857142857142
totalSentences35
uniqueOpeners18
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences27
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences27
matches
0"Her weathered leather boots echoed"
1"Her worn leather watch caught"
2"She clutched her leather satchel"
3"It wasn't a question."
4"She'd seen enough unexplained cases—particularly"
5"Her military precision training warred"
6"she said quietly"
ratio0.259
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount25
totalSentences27
matches
0"The abandoned Tube station beneath"
1"Her weathered leather boots echoed"
2"The body lay crumpled near"
3"Quinn knelt, her salt-and-pepper hair"
4"Her worn leather watch caught"
5"Eva Kowalski stood nearby, her"
6"She clutched her leather satchel"
7"Eva said, tucking a stray"
8"Quinn's sharp jaw clenched."
9"The victim's skin bore intricate"
10"Blood pooled around the body,"
11"It wasn't a question."
12"Eva shifted her weight."
13"Quinn's brown eyes narrowed."
14"She'd seen enough unexplained cases—particularly"
15"Her military precision training warred"
16"The body's hands were positioned"
17"Eva pulled a small notebook"
18"Quinn stood, her height commanding"
19"A distant sound echoed—something between"
ratio0.926
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences27
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences14
technicalSentenceCount3
matches
0"The abandoned Tube station beneath Camden reeked of damp concrete and something else—a metallic, acrid scent that made Detective Harlow Quinn's nostrils flare."
1"The victim's skin bore intricate carved symbols—not tattoos, but fresh cuts that seemed to shimmer and shift when viewed from different angles."
2"Eva pulled a small notebook from her satchel, flipping pages covered in precise academic handwriting."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount3
fancyTags
0"she muttered (mutter)"
1"Quinn stated (state)"
2"Quinn demanded (demand)"
dialogueSentences8
tagDensity0.625
leniency1
rawRatio0.6
effectiveRatio0.6
58.2711%