Run: 2026-02-17-01KHMRBS45RZXCG1PV7K721F45

Run Details

Duration:
1m 6s
Cost:
$0.011360
Provider:
Moonshot AI

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 was coming down in ropes, turning Soho’s pavement into a black mirror that reflected the city’s neon guts in smeared streaks of red and green. Detective Harlow Quinn stood in the mouth of an alley opposite The Raven’s Nest, her shoulders pressed against wet brick, watching the green neon sign above the bar flicker like a failing heartbeat. She’d been there three hours, ignoring the ache in her knees and the steady seep of cold through her coat, waiting for one of the clique to surface. When Tomás Herrera emerged, she almost missed him. He moved differently than he had in the surveillance photos—lower center of gravity, head tucked, the short curly dark brown hair plastered flat by the downpour. But the olive skin was unmistakable, and when he turned to check the street, the streetlamp caught the silver glint of the Saint Christopher medallion against his chest. The scar running along his left forearm peeked from beneath his rolled sleeve, pale and jagged. Quinn pushed off the wall. She didn’t shout. Eighteen years of decorated service had taught her that announcing yourself only gave them a head start, and Herrera had already proven skittish. She closed the distance with the efficient stride that had earned her a reputation for military precision, her boots striking the pavement in a rhythm that matched the slap of the worn leather watch against her left wrist. He saw her at fifteen yards. Those warm brown eyes widened, recognizing the bearing if not the face. Then he ran. Quinn gave chase. The rain lashed sideways as they hit Wardour Street. Herrera was fast for a former paramedic—faster than his file suggested, certainly faster than a man with a knife scar should be. He cut west, dodging between midnight revelers huddled under awnings, splashing through gutters that ran like rivers. Quinn kept pace, her salt-and-pepper hair slicked to her sharp jaw, her breath coming hard and steady through her nose. She was forty-one, fit, but she could feel the years in her hips as she pivoted around a stumbling tourist, her hand hovering near the holster at her ribs. He wasn’t just fleeing. He was navigating. They left Soho behind, the green neon bleeding away into the rearview of the chase. Herrera led her north toward Camden, past the silent lock of Regent’s Canal, where the water lay black and undisturbed except for the machine-gun patter of rain. He ducked beneath railway arches where the darkness pooled thick enough to drink, his silhouette dissolving into the industrial shadow. Quinn followed, her fingers brushing the damp brick to guide her. The air here tasted of iron and old soot. When she emerged, he was climbing the fence surrounding an abandoned construction site. She caught the flash of his medallion as he hauled himself over, the saint’s face turned toward the storm as if offering protection. Quinn scaled after him, her boots finding purchase on wet stone, the leather watch band cutting into her wrist. On the other side, she dropped into a crouch, her hand finally closing around the grip of her sidearm. Not drawn, but ready. “Herrera!” Her voice cut through the rain. “Metropolitan Police. Stop.” He paused at the mouth of what looked like a ventilation shaft set into the embankment. For a moment, the tableau held: the pursued and the pursuer, separated by twenty feet of mud and rain. Then he reached into his pocket and withdrew something that gleamed dully in the darkness—not metal, but organic, curved like a crescent moon. A bone. He pressed it against the rusted iron grate sealing the shaft. The lock, which should have been frozen with decades of disuse, clicked open with a wet sound, like a joint popping. The grate swung inward on silent hinges. “Don’t,” Quinn called, but he was already vanishing into the earth. She reached the entrance as the grate began to swing shut. Through the gap, she saw stone steps descending into a breath of air that carried the scent of copper and myrrh, of ozone and vegetation growing without light. Somewhere below, voices murmured in commerce—a market, but one that whispered in registers that made her teeth ache. The grate clanged closed. Quinn stood alone in the rain. Her chest heaved, her uniform soaked through to the skin. She checked her watch—Morris’s watch, though she never let herself think of it that way. The face was cracked, the hands stopped at 3:17, the time her partner had died three years ago in a warehouse south of the river. They’d found him without a mark, his eyes open, his mouth shaped around a word he’d never finished. Supernatural origins, the coroner had suggested, then recanted, then retired. She’d kept the watch. She kept it wound, though it never ran. The iron grate trembled. Not locked, then. Waiting. She looked back at the city above—the familiar topography of streetlamps and surveillance cameras, of protocols and backup calls and the eighteen years of procedure that had defined her existence. Then she looked down, into the dark where Herrera had fled, where the bone token had granted passage to something that moved with the full moon and traded in goods that didn’t exist in any catalog she knew. Her fingers found the evidence bag in her inner pocket. Inside, wrapped in plastic, lay a fragment she’d found clutched in Morris’s hand three years ago—a small, curved piece of ivory that the lab couldn’t identify. It had always felt warm against her palm, even in the cold case locker. Even now. Quinn drew her weapon. The weight was familiar, but the darkness below was not. She thought of Morris’s eyes, wide and sightless. She thought of the clique she’d been hunting, the unexplained circumstances, the way the world seemed to fold in on itself whenever she got close to the truth. She pushed the grate open. It offered no resistance, as if it had been expecting her all along. The stairs descended into a Victorian Tube station abandoned since the Blitz, its platform supposedly flooded and forgotten. But as Quinn’s eyes adjusted, she saw light flickering from farther down—bioluminescent or chemical, she couldn’t tell—and smelled the distinct scent of alchemical smoke, sweet and acrid. The Veil Market. The bone token in her pocket grew warmer with each step she took into the earth. At the bottom of the stairs, she paused. The platform opened into a cavernous space where stalls huddled beneath the curve of tiled walls, vendors hooded in shadows exchanging currency that glowed and whispered. And there, at the edge of the crowd, stood Herrera, watching her with those warm brown eyes, neither surprised nor afraid, as if he’d known she would follow. Quinn descended the final step, her boots ringing against the tile. The grate above swung shut with a final, irrevocable click. She was underground now, in unfamiliar territory, with no backup and no warrant and no understanding of the laws that governed this place. She raised her weapon, not aimed at Herrera, but ready. “Stay where you are,” she said. Her voice echoed against the tiles, small but steady. Herrera raised his hands, the scar on his forearm visible, the medallion catching the strange light. Around them, the market continued its business, unhurried, ancient, and indifferent to the Metropolitan Police. Quinn stepped forward, into the dark.
created_at"2026-02-17T02:56:14.515002+00:00" 2/17/2026, 2:56:14 AM
model"moonshotai/kimi-k2.5-0127"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1001
moderation_latency(null)
generation_time65658
tokens_prompt914
tokens_completion4372
native_tokens_prompt824
native_tokens_completion3622
native_tokens_completion_images(null)
native_tokens_reasoning2476
native_tokens_cached0
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"
usage0.0113604
router(null)
provider_responses
0
id"chatcmpl-6993d88cb2d083c95e5dc21a"
status200
is_byokfalse
latency1001
endpoint_id"49762299-66fd-4514-b0ee-c9e11e231e3b"
provider_name"Moonshot AI"
model_permaslug"moonshotai/kimi-k2.5-0127"
api_type"completions"
id"gen-1771296908-HreBRn8fs4JbAGOnYxcl"
upstream_id"chatcmpl-6993d88cb2d083c95e5dc21a"
total_cost0.0113604
cache_discount(null)
upstream_inference_cost0
provider_name"Moonshot AI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1236
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)
59.55% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1236
totalAiIsms10
found
0
word"flicker"
count1
1
word"glint"
count1
2
word"efficient"
count1
3
word"could feel"
count1
4
word"navigating"
count1
5
word"trembled"
count1
6
word"familiar"
count2
7
word"weight"
count1
8
word"echoed"
count1
highlights
0"flicker"
1"glint"
2"efficient"
3"could feel"
4"navigating"
5"trembled"
6"familiar"
7"weight"
8"echoed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences84
matches(empty)
23.81% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount5
hedgeCount2
narrationSentences84
filterMatches
0"watch"
1"watch—watch, think"
hedgeMatches
0"began to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences85
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1227
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount1218
uniqueNames22
maxNameDensity0.99
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho2
Harlow1
Quinn12
Raven1
Nest1
Tomás1
Herrera8
Saint1
Christopher1
Wardour1
Street1
Camden1
Regent1
Canal1
Morris3
Victorian1
Tube1
Blitz1
Veil1
Market1
Metropolitan1
Police1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Tomás"
4"Herrera"
5"Saint"
6"Christopher"
7"Regent"
8"Morris"
9"Market"
places
0"Soho"
1"Wardour"
2"Street"
3"Victorian"
4"Metropolitan"
globalScore1
windowScore1
74.24% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount2
matches
0"as if offering protection"
1"looked like a ventilation shaft set into"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches4
per1kWords3.26
wordCount1227
matches
0"Not drawn, but ready"
1"not metal, but organic, curved like a crescent moon"
2"neither surprised nor"
3"not aimed at Herrera, but ready"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences85
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean45.44
std30.99
cv0.682
sampleLengths
087
178
269
321
43
597
67
782
878
910
1060
1139
1211
1357
144
1596
168
1768
1852
1950
2018
2164
2262
2354
246
2540
266
96.91% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences84
matches
0"been frozen"
1"was cracked"
34.98% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs202
matches
0"was coming"
1"wasn’t just fleeing"
2"was navigating"
3"was climbing"
4"was already vanishing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount9
semicolonCount0
flaggedSentences8
totalSentences85
ratio0.094
matches
0"He moved differently than he had in the surveillance photos—lower center of gravity, head tucked, the short curly dark brown hair plastered flat by the downpour."
1"Herrera was fast for a former paramedic—faster than his file suggested, certainly faster than a man with a knife scar should be."
2"Then he reached into his pocket and withdrew something that gleamed dully in the darkness—not metal, but organic, curved like a crescent moon."
3"Somewhere below, voices murmured in commerce—a market, but one that whispered in registers that made her teeth ache."
4"She checked her watch—Morris’s watch, though she never let herself think of it that way."
5"She looked back at the city above—the familiar topography of streetlamps and surveillance cameras, of protocols and backup calls and the eighteen years of procedure that had defined her existence."
6"Inside, wrapped in plastic, lay a fragment she’d found clutched in Morris’s hand three years ago—a small, curved piece of ivory that the lab couldn’t identify."
7"But as Quinn’s eyes adjusted, she saw light flickering from farther down—bioluminescent or chemical, she couldn’t tell—and smelled the distinct scent of alchemical smoke, sweet and acrid."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1231
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.022745735174654752
lyAdverbCount7
lyAdverbRatio0.005686433793663688
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences85
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences85
mean14.44
std9.36
cv0.648
sampleLengths
026
133
228
38
426
528
616
75
83
923
1038
116
1212
133
143
159
1622
1717
1820
1929
204
213
2215
2327
2420
2511
269
2713
2823
2919
3019
314
327
333
3416
3519
3623
372
3811
3921
407
4111
4211
4328
4418
454
466
4710
4815
4925
52.55% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.36470588235294116
totalSentences85
uniqueOpeners31
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences80
matches
0"Then he ran."
1"Then he reached into his"
2"Somewhere below, voices murmured in"
3"Then she looked down, into"
ratio0.05
65.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences80
matches
0"She’d been there three hours,"
1"He moved differently than he"
2"She didn’t shout."
3"She closed the distance with"
4"He saw her at fifteen"
5"He cut west, dodging between"
6"She was forty-one, fit, but"
7"He wasn’t just fleeing."
8"He was navigating."
9"They left Soho behind, the"
10"He ducked beneath railway arches"
11"She caught the flash of"
12"Her voice cut through the"
13"He paused at the mouth"
14"He pressed it against the"
15"She reached the entrance as"
16"Her chest heaved, her uniform"
17"She checked her watch—Morris’s watch,"
18"They’d found him without a"
19"She’d kept the watch."
ratio0.388
78.75% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences80
matches
0"Rain was coming down in"
1"Detective Harlow Quinn stood in"
2"She’d been there three hours,"
3"He moved differently than he"
4"The scar running along his"
5"Quinn pushed off the wall."
6"She didn’t shout."
7"She closed the distance with"
8"He saw her at fifteen"
9"Those warm brown eyes widened,"
10"Quinn gave chase."
11"The rain lashed sideways as"
12"Herrera was fast for a"
13"He cut west, dodging between"
14"Quinn kept pace, her salt-and-pepper"
15"She was forty-one, fit, but"
16"He wasn’t just fleeing."
17"He was navigating."
18"They left Soho behind, the"
19"Herrera led her north toward"
ratio0.763
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences80
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences53
technicalSentenceCount12
matches
0"Rain was coming down in ropes, turning Soho’s pavement into a black mirror that reflected the city’s neon guts in smeared streaks of red and green."
1"She’d been there three hours, ignoring the ache in her knees and the steady seep of cold through her coat, waiting for one of the clique to surface."
2"She closed the distance with the efficient stride that had earned her a reputation for military precision, her boots striking the pavement in a rhythm that matc…"
3"He cut west, dodging between midnight revelers huddled under awnings, splashing through gutters that ran like rivers."
4"She caught the flash of his medallion as he hauled himself over, the saint’s face turned toward the storm as if offering protection."
5"Through the gap, she saw stone steps descending into a breath of air that carried the scent of copper and myrrh, of ozone and vegetation growing without light."
6"Somewhere below, voices murmured in commerce—a market, but one that whispered in registers that made her teeth ache."
7"She looked back at the city above—the familiar topography of streetlamps and surveillance cameras, of protocols and backup calls and the eighteen years of proce…"
8"It offered no resistance, as if it had been expecting her all along."
9"The platform opened into a cavernous space where stalls huddled beneath the curve of tiled walls, vendors hooded in shadows exchanging currency that glowed and …"
10"And there, at the edge of the crowd, stood Herrera, watching her with those warm brown eyes, neither surprised nor afraid, as if he’d known she would follow."
11"She was underground now, in unfamiliar territory, with no backup and no warrant and no understanding of the laws that governed this place."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
76.1930%