Run: 2026-05-10-01KR916D5575EE0DEAF4KW1DVV

Run Details

Model:
Grok 4.3
Duration:
19.8s
Cost:
$0.003729
Provider:
xAI

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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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
Detective Harlow Quinn pressed her wrist against the car door, the worn leather of her watch slick with rain as the unmarked vehicle fishtailed to a stop behind the suspect’s fleeing shadow. The man had bolted the moment she showed her badge outside the boarded-up warehouse in Soho, and now he ran like someone who knew exactly what he was protecting. Neon letters from the Raven’s Nest flickered green through the downpour, but the suspect cut left instead, crashing through an alley lined with overflowing bins and fire escapes that wept rust. Quinn’s boots slapped the wet concrete. Her sharp jaw clenched as she counted the distance, coat flapping, breath steady despite the burn in her lungs. Eighteen years on the force had taught her that hesitation cost more than sweat. The suspect vaulted a low wall onto a delivery ramp behind a closed café. Quinn followed, the salt-and-pepper crop of her hair plastered to her scalp. She tasted iron in the rain and the faint chemical bite of the city. The man glanced back once, eyes wide under a hood, before he dropped through a service grate that should have been padlocked. Quinn didn’t pause at the lip. She lowered herself into the narrow shaft, fingers scraping moss-slick brick, and landed in ankle-deep water that smelled of old piss and diesel. The grate above clanged shut behind her. Fluorescent panels buzzed overhead, half dead, turning the concrete corridor into a flickering tunnel of shadow and glare. She heard his footsteps ahead—wet slaps that echoed—and she moved, gun drawn low, left hand steady on the wall for balance. The air thickened with damp and something sweet-sour, like rotting fruit wrapped in incense. Quinn’s watch face gleamed each time lightning flashed through a storm drain overhead. She counted seconds between steps, measuring the suspect’s lead. Three years ago she’d lost Morris the same way, chasing a whisper through another forgotten underpass; she still carried the weight of his unexplained absence like a second heartbeat. The tunnel bent left, then opened into a wider gallery where the water ran in shallow streams toward a rusting turnstile. The suspect vaulted it. Quinn holstered the Glock long enough to climb, metal cold and gritty under her palms, then dropped into the abandoned platform beyond. Tile walls once advertised long-defunct products; now they bore tags in languages she didn’t recognize and chalk symbols that looked half-burnt. A bone token, rib-white and etched with spirals, lay discarded near the tracks. She stepped over it without slowing, though the decision to keep moving lodged in her throat like swallowed glass. Stairs descended into deeper darkness. The suspect’s progress echoed: a scrape, a muttered curse, then silence. Quinn descended step by careful step, senses sharp. Her military bearing kept her upright despite the ache in her knees and the chill that had crept from leather watchband to bone. The air pressure changed; voices rose in a low murmur laced with languages and the clink of coin. Lanterns swayed from makeshift hooks—antique train signals repurposed into orbs of blue flame. She reached the final landing and peered around a shattered arch. The Veil Market filled the old station concourse like a living wound. Stalls carved from shipping crates and subway benches displayed jars of viscous liquid, bundles of dried herbs that twitched, blades etched with runes that caught the lantern light. Vendors in long coats negotiated with customers who wore masks of bone and wire. A woman with copper scales at her temples weighed something that pulsed inside a lead box. Quinn’s breath caught once, then steadied. The suspect had already melted into the crowd, his dark slicker vanishing behind a display of bottled lightning and bone charms. She could still pick out the route: straight through the central aisle toward the far escalators that no longer moved. Her mind raced with protocol. Backup was three minutes out if she called, but the market looked like it could vanish or swallow her before then. She’d heard rumors—underground markets that sold off books of power, that traded in favors rather than cash—but evidence had been thin until tonight. The supernatural origins of Morris’s death tugged at her now, an invisible thread she refused to name. She could turn back, radio in the location, and return with a tactical unit. Or she could follow the only lead that had surfaced in months. The suspect reappeared briefly, tossing a coin to a vendor who handed him a small leather pouch. Their eyes met across thirty feet of lanterns and smoke. Recognition flashed in the man’s face, followed by fear that sharpened into resolve. He sprinted toward the downward escalator. Quinn’s decision locked into place with the same precision that had carried her through eighteen years: she moved. She crossed the concourse at a measured run, coat shedding rain, past a stall of teeth arranged in velvet trays and another selling maps that whispered routes. A vendor hissed at her, but no one tried to bar the way. She caught the suspect’s trail by the broken escalator handrail, where wet footprints still glistened. One step, two, then the darkness below swallowed both of them again. Quinn descended without looking back, Glock steady, the leather watch ticking against her pulse like another heartbeat she already knew might not be enough.
created_at"2026-05-10T13:28:29.102Z" 5/10/2026, 1:28:29 PM
model"x-ai/grok-4.3-20260430"
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generation_time19690
tokens_prompt914
tokens_completion1377
native_tokens_prompt905
native_tokens_completion1066
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native_tokens_reasoning0
native_tokens_cached64
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount891
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
wordCount891
totalAiIsms18
found
0
word"flickered"
count1
1
word"jaw clenched"
count1
2
word"footsteps"
count1
3
word"echoed"
count2
4
word"whisper"
count1
5
word"carried the weight"
count1
6
word"etched"
count2
7
word"silence"
count1
8
word"chill"
count1
9
word"shattered"
count1
10
word"pulsed"
count1
11
word"raced"
count1
12
word"resolve"
count1
13
word"measured"
count1
14
word"velvet"
count1
15
word"pulse"
count1
highlights
0"flickered"
1"jaw clenched"
2"footsteps"
3"echoed"
4"whisper"
5"carried the weight"
6"etched"
7"silence"
8"chill"
9"shattered"
10"pulsed"
11"raced"
12"resolve"
13"measured"
14"velvet"
15"pulse"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences55
matches(empty)
38.96% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences55
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences55
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords886
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
93.57% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions20
wordCount886
uniqueNames9
maxNameDensity1.13
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn10
Soho1
Raven1
Nest1
Morris2
Glock2
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Nest"
3"Morris"
4"Market"
places
0"Soho"
1"Raven"
globalScore0.936
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences52
glossingSentenceCount1
matches
0"looked like it could vanish or swallow he"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount886
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences55
matches
0"markets that sold"
8.43% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs9
mean98.44
std17.67
cv0.179
sampleLengths
0131
198
2104
3100
489
5117
692
764
891
98.88% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences55
matches
0"been padlocked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs151
matches
0"was protecting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount3
flaggedSentences6
totalSentences55
ratio0.109
matches
0"She heard his footsteps ahead—wet slaps that echoed—and she moved, gun drawn low, left hand steady on the wall for balance."
1"Three years ago she’d lost Morris the same way, chasing a whisper through another forgotten underpass; she still carried the weight of his unexplained absence like a second heartbeat."
2"Tile walls once advertised long-defunct products; now they bore tags in languages she didn’t recognize and chalk symbols that looked half-burnt."
3"The air pressure changed; voices rose in a low murmur laced with languages and the clink of coin."
4"Lanterns swayed from makeshift hooks—antique train signals repurposed into orbs of blue flame."
5"She’d heard rumors—underground markets that sold off books of power, that traded in favors rather than cash—but evidence had been thin until tonight."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount900
adjectiveStacks0
stackExamples(empty)
adverbCount30
adverbRatio0.03333333333333333
lyAdverbCount3
lyAdverbRatio0.0033333333333333335
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences55
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences55
mean16.11
std7.06
cv0.438
sampleLengths
032
129
231
36
419
514
614
712
814
922
106
1123
127
1318
1421
1514
1613
179
1829
1921
204
2122
2221
2313
2419
255
2611
278
2823
2918
3013
3111
3212
3328
3414
3516
366
3721
3820
395
4021
4123
4217
4314
4412
4517
4610
4713
486
4918
61.82% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.38181818181818183
totalSentences55
uniqueOpeners21
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences55
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences55
matches
0"Her sharp jaw clenched as"
1"She tasted iron in the"
2"She lowered herself into the"
3"She heard his footsteps ahead—wet"
4"She counted seconds between steps,"
5"She stepped over it without"
6"Her military bearing kept her"
7"She reached the final landing"
8"She could still pick out"
9"Her mind raced with protocol."
10"She’d heard rumors—underground markets that"
11"She could turn back, radio"
12"Their eyes met across thirty"
13"He sprinted toward the downward"
14"She crossed the concourse at"
15"She caught the suspect’s trail"
ratio0.291
14.55% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences55
matches
0"Detective Harlow Quinn pressed her"
1"The man had bolted the"
2"Neon letters from the Raven’s"
3"Quinn’s boots slapped the wet"
4"Her sharp jaw clenched as"
5"The suspect vaulted a low"
6"Quinn followed, the salt-and-pepper crop"
7"She tasted iron in the"
8"The man glanced back once,"
9"Quinn didn’t pause at the"
10"She lowered herself into the"
11"The grate above clanged shut"
12"She heard his footsteps ahead—wet"
13"The air thickened with damp"
14"Quinn’s watch face gleamed each"
15"She counted seconds between steps,"
16"The tunnel bent left, then"
17"The suspect vaulted it."
18"Quinn holstered the Glock long"
19"A bone token, rib-white and"
ratio0.891
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences55
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences45
technicalSentenceCount9
matches
0"The man had bolted the moment she showed her badge outside the boarded-up warehouse in Soho, and now he ran like someone who knew exactly what he was protecting…"
1"She lowered herself into the narrow shaft, fingers scraping moss-slick brick, and landed in ankle-deep water that smelled of old piss and diesel."
2"She heard his footsteps ahead—wet slaps that echoed—and she moved, gun drawn low, left hand steady on the wall for balance."
3"Tile walls once advertised long-defunct products; now they bore tags in languages she didn’t recognize and chalk symbols that looked half-burnt."
4"Her military bearing kept her upright despite the ache in her knees and the chill that had crept from leather watchband to bone."
5"Stalls carved from shipping crates and subway benches displayed jars of viscous liquid, bundles of dried herbs that twitched, blades etched with runes that caug…"
6"Vendors in long coats negotiated with customers who wore masks of bone and wire."
7"The suspect reappeared briefly, tossing a coin to a vendor who handed him a small leather pouch."
8"She crossed the concourse at a measured run, coat shedding rain, past a stall of teeth arranged in velvet trays and another selling maps that whispered routes."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
73.8734%