Run: 2026-02-17-01KHMPF65RF0VRQ4JX1AZEWBBD

Run Details

Duration:
25.0s
Cost:
$0.000315

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
In the belly of London, where the stench of the Thames mingled with the earth's damp breath, Detective Harlow Quinn descended into the abandoned Tube station of Camden. Her boots echoed on the worn steps, each footfall a metronome counting off the seconds until she reached the platform's edge. The station, long forgotten by the city's pulse, now served as a stage for the macabre dance of crime and investigation. The platform was a tableau of chaos, a stark contrast to the usual order Quinn maintained. Yellow tape fluttered like a wounded bird, cordoning off the scene from the curious and the uninitiated. Uniformed officers milled about, their faces pale in the harsh glare of the portable lights. At the center stood DCI Thompson, Quinn's colleague and occasional adversary, his bulk silhouetted against the carnival of crime scene techs. Quinn approached, her salt-and-pepper hair brushing her collar, her sharp jaw set in a grim line. Her eyes, brown as London's soot, swept the scene, taking in every detail. The victim lay sprawled on the platform, a young woman with curly red hair and round glasses, her freckled complexion pale as moonlight. Beside her, a worn leather satchel spilled books like entrails. Quinn's gaze lingered on the girl's left ear, where a tuft of hair was tucked neatly behind, a nervous habit preserved in death. "Quinn," Thompson greeted, his voice a rumble like distant thunder. "Thought you'd be interested in this one. Victim's ID'd as Eva Kowalski. Works at the British Museum. Occult researcher." Quinn nodded, her eyes never leaving the body. "Cause of death?" "Strangulation," Thompson replied, pointing to the livid marks on Eva's neck. "But here's where it gets interesting." He stepped aside, revealing a symbol carved into the platform's concrete. It was a circle with three wavy lines radiating out, like a stylized sun or a triskelion. "We found this at the scene. No sign of forced entry, no struggle, no weapon. Just this... mark." Quinn crouched down, her worn leather watch catching the light. She traced the symbol with her gloved fingers, feeling the rough edges where the concrete had been scored. "What's your take, Thompson?" Thompson shrugged his massive shoulders. "Gang initiation, maybe? Some sort of cult ritual? Either way, it's out of our league. I've already called for backup from the Met's Occult Crimes Unit." Quinn stood, her military precision evident in her every movement. "And what do you think, Thompson?" she pressed, her eyes meeting his. "What's your gut telling you?" Thompson hesitated, then leaned in, lowering his voice. "I think we've got a supernatural killing on our hands, Quinn. And I think you know it too." Quinn's gaze flicked back to the body, to the symbol, then to the darkness that seemed to cling to the edges of the platform. She remembered Morris, her partner lost three years ago in a case that had twisted and turned until it led them to the supernatural's doorstep. She remembered the unexplained, the inexplicable, the things that defied logic and reason. And she remembered the fear that had gripped her then, the fear that still gripped her now. She pulled out her phone, navigating to a photo she'd taken months ago at another crime scene. Another symbol, another victim. She held it out to Thompson. "I've seen this before. Two years ago, another victim. Same MO, same symbol." Thompson took the phone, his brows furrowing as he studied the image. "Why didn't you say anything?" "I didn't have proof," Quinn replied, taking the phone back. "I still don't. But I intend to find it." Thompson looked at her, then at the body, then back at her. "You're not going to report this, are you?" Quinn met his gaze, unflinching. "Not yet. Not until I have something concrete. I need to investigate this my way, Thompson. Off the books." Thompson sighed, running a hand over his bald head. "I should report you, you know. Interfering with an investigation, withholding evidence..." "But you won't," Quinn finished for him. "Because you know something's off here, Thompson. And because you trust me." Thompson looked away, his jaw working. "Be careful, Quinn. This isn't like the old days. This is... something else." Quinn nodded, her eyes already scanning the scene again. "I know. But I've dealt with 'something else' before. And I've come out on top." She stepped away from Thompson, her boots echoing on the platform as she moved towards the edge, towards the darkness. She pulled out her Veil Compass, the small brass instrument glowing softly in her hand. The needle spun, then pointed towards the darkness, towards the unknown. Towards the truth. Quinn took a deep breath, her eyes on the needle. Then, with a determination that was almost palpable, she stepped off the platform and into the darkness, leaving Thompson and the crime scene behind. She was going to find out what had really happened to Eva Kowalski. She was going to find out who, or what, had killed her. And she was going to bring them to justice, no matter what it took. Even if it meant walking into the heart of the supernatural world. Even if it meant confronting the fears that still haunted her from Morris's death. Even if it meant risking everything she held dear. Because that was what Detective Harlow Quinn did. She sought the truth, no matter where it led her. And she never, ever gave up.
total_cost0.000315

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount1
adverbTags
0"He stepped aside [aside]"
dialogueSentences22
tagDensity0.273
leniency0.545
rawRatio0.167
effectiveRatio0.091
88.96% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount906
totalAiIsmAdverbs2
found
0
adverb"softly"
count1
1
adverb"really"
count1
highlights
0"softly"
1"really"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Thompson"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
22.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount906
totalAiIsms14
found
0
word"echoed"
count1
1
word"footfall"
count1
2
word"pulse"
count1
3
word"macabre"
count1
4
word"dance"
count1
5
word"stark"
count1
6
word"fluttered"
count1
7
word"traced"
count1
8
word"flicked"
count1
9
word"navigating"
count1
10
word"furrowing"
count1
11
word"scanning"
count1
12
word"echoing"
count1
13
word"palpable"
count1
highlights
0"echoed"
1"footfall"
2"pulse"
3"macabre"
4"dance"
5"stark"
6"fluttered"
7"traced"
8"flicked"
9"navigating"
10"furrowing"
11"scanning"
12"echoing"
13"palpable"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences53
matches(empty)
61.99% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences53
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences69
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords906
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
40.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount686
uniqueNames13
maxNameDensity2.19
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Thompson"
discoveredNames
London2
Thames1
Detective2
Harlow2
Quinn15
Tube1
Camden1
Thompson12
Eva2
Morris2
Veil1
Compass1
Kowalski1
persons
0"Harlow"
1"Quinn"
2"Thompson"
3"Eva"
4"Morris"
5"Kowalski"
places
0"London"
1"Thames"
globalScore0.407
windowScore0.5
97.92% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences48
glossingSentenceCount1
matches
0"darkness that seemed to cling to the edges of the platform"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount906
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences69
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean37.75
std22.12
cv0.586
sampleLengths
070
169
285
329
411
563
632
731
827
926
1079
1140
1217
1319
1420
1524
1621
1719
1819
1924
2049
2173
2235
2324
92.02% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences53
matches
0"was tucked"
1"been scored"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs113
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences69
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount688
adjectiveStacks0
stackExamples(empty)
adverbCount21
adverbRatio0.030523255813953487
lyAdverbCount5
lyAdverbRatio0.007267441860465116
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences69
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences69
mean13.13
std6.05
cv0.46
sampleLengths
028
121
221
316
417
515
621
716
813
923
1010
1123
1210
1319
148
153
1611
1717
1817
1918
2010
2118
224
235
2426
2510
2612
275
288
2918
3024
3125
3213
3317
3417
354
366
3713
3812
395
4010
419
4212
438
445
4519
469
4712
487
4912
58.45% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.42028985507246375
totalSentences69
uniqueOpeners29
62.89% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences53
matches
0"Then, with a determination that"
ratio0.019
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences53
matches
0"Her boots echoed on the"
1"Her eyes, brown as London's"
2"He stepped aside, revealing a"
3"It was a circle with"
4"She traced the symbol with"
5"she pressed, her eyes meeting"
6"She remembered Morris, her partner"
7"She remembered the unexplained, the"
8"She pulled out her phone,"
9"She held it out to"
10"She stepped away from Thompson,"
11"She pulled out her Veil"
12"She was going to find"
13"She was going to find"
14"She sought the truth, no"
ratio0.283
92.08% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount39
totalSentences53
matches
0"Her boots echoed on the"
1"The station, long forgotten by"
2"The platform was a tableau"
3"Quinn approached, her salt-and-pepper hair"
4"Her eyes, brown as London's"
5"The victim lay sprawled on"
6"Quinn's gaze lingered on the"
7"Thompson greeted, his voice a"
8"Quinn nodded, her eyes never"
9"Thompson replied, pointing to the"
10"He stepped aside, revealing a"
11"It was a circle with"
12"Quinn crouched down, her worn"
13"She traced the symbol with"
14"Thompson shrugged his massive shoulders."
15"Quinn stood, her military precision"
16"she pressed, her eyes meeting"
17"Thompson hesitated, then leaned in,"
18"Quinn's gaze flicked back to"
19"She remembered Morris, her partner"
ratio0.736
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount4
totalSentences53
matches
0"Even if it meant walking"
1"Even if it meant confronting"
2"Even if it meant risking"
3"Because that was what Detective"
ratio0.075
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount2
matches
0"She remembered the unexplained, the inexplicable, the things that defied logic and reason."
1"Then, with a determination that was almost palpable, she stepped off the platform and into the darkness, leaving Thompson and the crime scene behind."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount2
matches
0"Thompson greeted, his voice a rumble like distant thunder"
1"she pressed, her eyes meeting his"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"she pressed (press)"
dialogueSentences22
tagDensity0.136
leniency0.273
rawRatio0.333
effectiveRatio0.091
86.5909%