Run: 2026-02-17-01KHMRCVMRX2C6C231KZXSH6V2

Run Details

Duration:
53.4s
Cost:
$0.001384
Provider:
Novita

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
Rain fell in sheets, turning the cobblestones of Soho into slick black mirrors that distorted the neon glow of the theater marquees above. Harlow Quinn’s boots found traction with surgical precision, heavy rubber gripping the wet stone as she navigated the crowded sidewalk. She didn’t watch the pedestrians; she watched the figure in the grey wool coat a dozen yards ahead. He turned sharp left into the mouth of an alley, vanishing into the gloom between a closed pub and a chain-link fence. Harlow didn’t hesitate. She vaulted the low barrier, her breath catching as she landed, rolling with the momentum to absorb the impact. The alley smelled of stale piss and dumpster refuse, a stark contrast to the cocktail of sweat and perfume drifting from the street. The movement beneath her—the flicker of a boot, the rasping of breath—ceased near a rusted fire escape. She crept forward, her weapon drawn but holstered. Her gut told her this wasn’t a routine robbery. The erratic path, the desperate speed, the way the shadows seemed to cling to the man’s jacket even when he was fully exposed. It was the kind of movement a cop learned to spot in high-stress situations, the tell-tale signs of someone with nowhere left to run. "You can't hide forever," Harlow called out. Her voice was flat, clipped, stripped of emotion by eighteen years of watching people break. A pause. Then, a rustle behind a stack of wooden pallets. She moved. The water in her hood made a heavy, rhythmic slush. She reached the corner just as the pallets were shoved aside. The alley was empty. "Shit," she muttered. She swept the area with her eyes, scanning high and low. Then she saw it—the concrete wall at the end of the alley didn't look solid. The mortar had been cracked, worn away by decades of erosion, or perhaps something far more insidious. She approached the crack and pressed her ear against the stone. The air moving through it wasn't just wind. It carried a distinct, heavy scent: ozone, dust, and something coppery, like dried blood. It was a smell that knotted the anxiety in Harlow’s stomach into a hard, hot knot. She tapped the brick with her knuckles. Solid. She shoved her fingers into the gap. It was loose. With a grunt of effort, she wrenched the stone aside. A sudden gush of stale air hit her face, smelling of the underground. She shone her tactical light into the darkness, the beam slicing through the oppressive gloom. A spiral iron staircase wound down into the blackness. She hesitated, hand hovering over her holster. Three stories down. If this was a trap, she was walking into a death sentence without backup. But the supernatural itch at the base of her spine was undeniable. DS Morris’s death three years ago still haunted her dreams, the unexplained circumstances always lurking at the edge of her memory. This was the path the man in the grey coat had taken. And if there was one thing Harlow Quinn valued more than her life, it was the truth. She descended. The stairwell gave way to a tunnel, damp and smelling of mildew. After twenty minutes of walking, the tunnel opened up into a cavernous space. She raised her light, and her breath hitched. The underground market was a hive of occult commerce. Lanterns hung from the ceiling on thick chains, casting warm, orange light over stalls that defied logic. Racks of vials containing bubbling liquids of every color lined the walls. Pedestals displayed silver daggers that seemed to hum with a low resonance. People in long coats and leather aprons moved like ghosts through the mist, haggling over items she didn’t recognize. She felt out of place, a square peg in a world of twisted nails. Her uniform and her watch, remnants of the world above, were the only solid things in this shifting landscape. Her heart hammered against her ribs. She scanned the crowd, searching for the grey coat. She didn't have to look far. A man stood near a stall selling what looked like dried herbs and bones. He had short, dark curly hair and olive skin that was glistening with sweat. A silver medallion dangled from his neck, catching the light. He was staring directly at her. Harlow froze. The crowd seemed to part around her automatically, a silent, unnerving gesture of respect or fear. The man raised a hand, beckoning her over. Harlow checked her perimeter. The crowd was thick, but she couldn't see an exit. If she rushed him, she was vulnerable to the hundreds of eyes watching her. She kept her hands visible and slow-walked toward him. "Detective Quinn," he said. His accent was thick, rolling the R’s like Spanish heavy rain. His voice was warm, calm, a stark contrast to the adrenaline singing in her veins. She stopped three feet away. "I'm looking for a man in a grey coat. He went this way." Tomás Herrera offered a sympathetic smile. He didn't look at her holster; he looked at her eyes. "You're a long way from Scotland Yard, Detective. And you haven't got the token." "Look," Harlow snapped, her patience fraying. "I don't know what this place is, or who runs it. But I know the guy I'm chasing bought something here. Maybe he owes you money." Tomás’ expression hardened. He glanced nervously over his shoulder at the crowd. "You aren't supposed to be here. The Market moves every full moon, yes, but the Veil is thin tonight. If you are seen without a token..." He didn't finish the sentence. "I'm not asking for permission," Harlow said, gripping her belt. "I'm telling you I'm coming." Tomás sighed, a defeated sound. He reached into his coat pocket and pulled out a small, twisted piece of bone. It was white, polished smooth by time. "You can't just walk through the crowds. You have to pass the checkpoint." "Where is it?" "To your left," Tomás said, gesturing to a shadowy alcove between a stall selling jars of eyeballs and a tent made of shimmering fabric. "But you have to trust me. If you go in there alone, you'll be another number on a grave stone." Harlow looked at the alcove. The air there was colder than the rest of the room. She could see shapes moving in the darkness beyond the threshold, shapes that didn't look human. She looked back at Tomás. He was sweating, his hands trembling slightly. He was just a civilian, but there was a genuine terror in his face. He was terrified of her. But he was also the only lead she had. "If I come out of there," Harlow said, her voice low and dangerous, "and I find out you played me... I will find you." Tomás bowed his head. "Proceed with caution, Detective. The Veil isn't just a door. It's a boundary." Harlow didn't wait for another word. She stepped into the alcove. Tomás pressed the bone token into her palm. It was freezing, bone-chilling. She clutched it tight as she stepped into the darkness. The air rushed out of her lungs. The neon lights and lanterns vanished, replaced by a pulsating, bioluminescent darkness. The sound of the market faded, replaced by a low, rhythmic thrumming that vibrated through the soles of her boots. She was in. The decision had been made in a split second, a leap of faith into the unknown. She drew her sidearm, thumb hovering over the release, and took the first step forward into the unknown.
created_at"2026-02-17T02:56:38.090732+00:00" 2/17/2026, 2:56:38 AM
model"z-ai/glm-4.7-flash-20260119"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency654
moderation_latency(null)
generation_time53331
tokens_prompt914
tokens_completion3669
native_tokens_prompt812
native_tokens_completion3318
native_tokens_completion_images(null)
native_tokens_reasoning1795
native_tokens_cached7
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00138362
router(null)
provider_responses
0
id"2459859335c22f9208430c53af4dbbc8"
status200
is_byokfalse
latency654
endpoint_id"6999081f-9017-4517-bbdb-47df8778c940"
provider_name"Novita"
model_permaslug"z-ai/glm-4.7-flash-20260119"
api_type"completions"
id"gen-1771296943-4s9PodTY43Fv1tvIKTlK"
upstream_id"2459859335c22f9208430c53af4dbbc8"
total_cost0.00138362
cache_discount4.2e-7
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
92.07% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1261
totalAiIsmAdverbs2
found
0
adverb"nervously"
count1
1
adverb"slightly"
count1
highlights
0"nervously"
1"slightly"
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)
32.59% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1261
totalAiIsms17
found
0
word"navigated"
count1
1
word"gloom"
count2
2
word"stark"
count2
3
word"flicker"
count1
4
word"rhythmic"
count2
5
word"scanning"
count1
6
word"stomach"
count1
7
word"oppressive"
count1
8
word"resonance"
count1
9
word"scanned"
count1
10
word"glistening"
count1
11
word"grave"
count1
12
word"chilling"
count1
13
word"vibrated"
count1
highlights
0"navigated"
1"gloom"
2"stark"
3"flicker"
4"rhythmic"
5"scanning"
6"stomach"
7"oppressive"
8"resonance"
9"scanned"
10"glistening"
11"grave"
12"chilling"
13"vibrated"
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
emotionTells1
narrationSentences103
matches
0"was terrified"
87.38% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences103
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)
analyzedSentences112
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1258
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount1089
uniqueNames7
maxNameDensity1.1
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Tomás"
discoveredNames
Soho1
Quinn2
Harlow12
Morris1
Spanish1
Herrera1
Tomás6
persons
0"Quinn"
1"Harlow"
2"Morris"
3"Herrera"
4"Tomás"
places
0"Soho"
globalScore0.949
windowScore0.667
85.90% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences78
glossingSentenceCount2
matches
0"daggers that seemed to hum with a low resonance"
1"looked like dried herbs and bones"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1258
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences112
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean32.26
std21.18
cv0.657
sampleLengths
061
184
264
322
411
527
63
754
838
918
1038
1195
122
1333
1469
1539
169
176
1844
1926
2028
219
2230
2318
2431
2532
2643
2715
2840
293
3044
3132
3231
339
3424
3517
3633
3739
3837
91.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences103
matches
0"were shoved"
1"been cracked"
2"was terrified"
3"been made"
55.86% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs185
matches
0"was walking"
1"was glistening"
2"was staring"
3"was sweating"
40.82% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount2
flaggedSentences4
totalSentences112
ratio0.036
matches
0"She didn’t watch the pedestrians; she watched the figure in the grey wool coat a dozen yards ahead."
1"The movement beneath her—the flicker of a boot, the rasping of breath—ceased near a rusted fire escape."
2"Then she saw it—the concrete wall at the end of the alley didn't look solid."
3"He didn't look at her holster; he looked at her eyes."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount922
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.027114967462039046
lyAdverbCount5
lyAdverbRatio0.005422993492407809
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences112
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences112
mean11.23
std6.3
cv0.561
sampleLengths
023
120
218
322
43
519
623
717
88
99
1023
1124
127
1315
142
159
162
1710
1811
194
203
2111
2215
2317
2411
258
2614
2716
287
291
307
313
3210
3313
3415
359
367
373
3814
3912
4021
4112
4217
432
4412
4513
468
479
4817
4912
39.29% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.2857142857142857
totalSentences112
uniqueOpeners32
69.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences96
matches
0"Then, a rustle behind a"
1"Then she saw it—the concrete"
ratio0.021
36.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount44
totalSentences96
matches
0"She didn’t watch the pedestrians;"
1"He turned sharp left into"
2"She vaulted the low barrier,"
3"She crept forward, her weapon"
4"Her gut told her this"
5"It was the kind of"
6"Her voice was flat, clipped,"
7"She reached the corner just"
8"She swept the area with"
9"She approached the crack and"
10"It carried a distinct, heavy"
11"It was a smell that"
12"She tapped the brick with"
13"She shoved her fingers into"
14"It was loose."
15"She shone her tactical light"
16"She hesitated, hand hovering over"
17"She raised her light, and"
18"She felt out of place,"
19"Her uniform and her watch,"
ratio0.458
12.08% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount86
totalSentences96
matches
0"Rain fell in sheets, turning"
1"Harlow Quinn’s boots found traction"
2"She didn’t watch the pedestrians;"
3"He turned sharp left into"
4"Harlow didn’t hesitate."
5"She vaulted the low barrier,"
6"The alley smelled of stale"
7"The movement beneath her—the flicker"
8"She crept forward, her weapon"
9"Her gut told her this"
10"The erratic path, the desperate"
11"It was the kind of"
12"Harlow called out"
13"Her voice was flat, clipped,"
14"The water in her hood"
15"She reached the corner just"
16"The alley was empty."
17"She swept the area with"
18"The mortar had been cracked,"
19"She approached the crack and"
ratio0.896
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences96
matches
0"If this was a trap,"
1"If she rushed him, she"
ratio0.021
75.47% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount5
matches
0"Rain fell in sheets, turning the cobblestones of Soho into slick black mirrors that distorted the neon glow of the theater marquees above."
1"She vaulted the low barrier, her breath catching as she landed, rolling with the momentum to absorb the impact."
2"Lanterns hung from the ceiling on thick chains, casting warm, orange light over stalls that defied logic."
3"Pedestals displayed silver daggers that seemed to hum with a low resonance."
4"He had short, dark curly hair and olive skin that was glistening with sweat."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount2
matches
0"Harlow snapped, her patience fraying"
1"Harlow said, her voice low and dangerous,"
25.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount2
fancyTags
0"she muttered (mutter)"
1"Harlow snapped (snap)"
dialogueSentences16
tagDensity0.375
leniency0.75
rawRatio0.333
effectiveRatio0.25
77.0289%