Run: 2026-03-11-01KKFBXWS5GRGA2VYY1Z2CNBBQ

Run Details

Duration:
27.0s
Cost:
$0.000000
Provider:
Stealth

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="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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
The rain fell in sheets, turning the Soho street into a river of fractured neon. Harlow Quinn’s worn leather watch strap was slick against her wrist as she vaulted over a toppled recycling bin, her shoulder screaming in protest. Twenty feet ahead, the suspect—a wiry silhouette in a grey hoodie—slipped and skidded on the gleaming wet asphalt. “Stop! Police!” Her voice was a ragged tear in the percussive drumming of the downpour. He didn’t look back. He’d darted out of the alley beside the Raven’s Nest, the bar’s green neon sign bleeding into the puddles at her feet. She’d been on a quiet surveillance detail, sipping a lukewarm coffee in her unmarked car, when the face from the photo matches—a low-level fence she’d been tracking for weeks—had walked right past her window. The chase was instinct, brutal and fast. Now the city blurred around her: the shuttered storefronts, the hiss of tires on wet roads, the distant wail of a siren she hadn’t called. He was younger, faster. But she had endurance. She paced her breathing, her military-trained mind calculating angles and exits. He was heading north, towards Camden. A stupid move. More people, more cameras, more ways to box him in. He cut left, diving down a narrow service alley choked with dumpsters. Quinn followed, her footfalls slapping through standing water. The alley spat them out onto a wider, pedestrianized lane. The market stalls were skeletal frames in the rain, their tarps flapping like wounded birds. Her suspect sprinted past a closed falafel stand, then towards the dark mouth of an alley marked with a faded Transport for London logo. A maintenance access point for the old Tube lines. “No,” she hissed under her breath. He yanked a rusted grate aside and disappeared down a steep flight of concrete steps, swallowed by a blackness that seemed to eat the weak light from the street. Quinn reached the opening, her hand going to the torch on her belt. She didn’t draw it yet. She listened. The sound of his flight—scraping boots, a dislodged stone—faded downward. Her breath fogged in the cool, damp air rising from the tunnel. Protocol was clear. Request backup. Secure the perimeter. Do not engage alone in an unsecured subterranean environment. But the case files were thin, the connections murky. Her partner, DS Morris, had died in a basement just like this one three years ago. A case marked “closed” that her gut, and the recurring nightmare of his final, choked radio transmission, told her was anything but. This suspect, this chase, felt connected to that same shadowed web. She drew her sidearm, the metal cold and familiar in her hand, and descended. The air changed. The smell of rain-washed asphalt gave way to something older—damp concrete, mineral dust, and a faint, cloying sweetness like rotting flowers mixed with ozone. The steps ended in a narrow, brick-lined service corridor. It stretched into the gloom, lit at erratic intervals by failing utility bulbs that cast more shadow than light. A distant, metallic clatter echoed from ahead. He was still running. She moved forward, her back brushing the weeping wall. The tunnel branched. Left or right. She strained for sound. A faint vibration through the soles of her shoes. Left. She followed it into a larger, vaulted space. An old station platform. The curved ceiling was lost in darkness. On the opposite wall, faded advertisements for long-defunct brands stared back from behind a scrim of grime. And in the center of the platform, where the tracks should have been, a bustling, impossible market thrived in the half-light. It wasn’t a market of fruits and wares. Stalls crafted from old railway sleepers and draped in velvet held glowing vials, jars of what looked like suspended insects that moved with their own inner light, and polished bones etched with intricate silver runes. Figures in heavy cloaks and hoodies moved between them, their faces often obscured. The air hummed with a low murmur of conversation and a sound like static electricity. This was the Veil Market. She’d only read the whispers about it in classified reports dismissed as urban myth. The suspect vaulted over a chain blocking the defunct platform edge and dropped onto the tracks, landing with a splash in the shallow, stagnant water that collected there. He scrambled up the far side and headed for a section of the tunnel wall that was covered in a thick, black tarp. “Freeze!” Quinn’s command was lost in the market’s din. He was going to get away. She made the choice in a heartbeat, holstering her weapon to use both hands. She swung down onto the tracks, her boots sinking into the foul muck. The stench was immediate and overwhelming. She pushed through it, climbing the far side. The market crowd had noticed her. The humming murmur stilled. Dozens of eyes, some human, some reflecting the strange light in ways that weren’t human, fixed on her. A large woman with a face covered in swirling tattoos moved to block her path. “You’re not welcome here, copper,” the woman said, her voice a gravelly rumble. Quinn flashed her warrant card, holding it up in the gloom. “Metropolitan Police. Just passing through. That’s all.” The woman’s eyes, pale as milk, flicked from the ID to Quinn’s face and back. She didn’t move. “The Veil has its own laws. Your badge holds no weight here. Turn back.” “I saw a suspect in a violent crime flee in here. My duty is to apprehend him. Now step aside.” The standoff held. Quinn’s muscles coiled. She could feel the tension from the other market-goers, a collective breath held. Then a new voice cut through the air, calm and accented. “Elena. Let her pass.” A man detached himself from the shadows near one of the larger stalls, which sold what appeared to be anatomical diagrams that moved. He was in his late twenties, with short curly dark hair and warm brown eyes that assessed her with an unnerving stillness. He wore a simple dark jumper and jeans, a silver Saint Christopher medallion glinting at his neck. The woman, Elena, grunted but stepped aside with a reluctance that was a physical force. The man approached Quinn. “You are chasing trouble down a rabbit hole, Detective.” “You know who I am.” It wasn’t a question. “The man who runs this market knows everyone who enters with a badge,” he said, his gaze dropping to where her sidearm was holstered. “Tomás Herrera. I… facilitate things here. Sometimes for people like you.” He had a scar running along his left forearm, pale against his olive skin. It looked like a clean, deep knife cut. “Where did he go?” Quinn nodded towards the black tarp where her quarry had vanished. Herrera’s eyes followed her gesture, then returned to her face. “That way leads to the deeper channels. To places where your authority is just a whisper, and things hunt in the dark. It’s not a place for a lone officer.” “I’m not asking for a tour guide. I’m asking for an intercept.” He studied her, his expression unreadable. The scar on his arm stood out starkly. He’d been in a knife fight. Had he administered his own first aid? The thought was a bizarre detour in her racing mind. “You want him?” Herrera said, his voice low enough that only she could hear over the renewed, cautious hum of the market. “I can get him. For a price. Not money. Information. Your partner. DS Morris. His file on the ‘Rookery’ case. You have it. I know you do.” The air in Quinn’s lungs turned to ice. The world narrowed to Herrera’s calm, waiting face. The rain, the chase, the impossible market—it all receded to the edges of a cold, sharp point: the name. The Rookery. The case that had killed Morris. The case she was never supposed to talk about. “How,” she began, her voice barely a whisper. “That’s the second part of the price,” Herrera said, a ghost of a smile touching his lips. “You tell me how you know about this place. And you let me take a sample. From your suspect. A drop of blood, a strand of hair. Nothing you’d notice.” Behind her, the market watched. The air was thick with secrets and old power. Ahead, the black tarp hung like a curtain over a deeper, darker unknown. The sound of the city above, of the rain and her life, was a memory. Down here, the rules were rewritten in a language she didn’t speak. Her hand hovered near the butt of her gun. The smart move was retreat. Call in the tactical units. Seal the tunnels. But the face of DS Morris, ashen in the morgue, flashed in her mind. The questions she’d buried for three years were screaming now. She looked from Herrera’s medallion to his steady, knowing eyes. Then she gave a single, sharp nod. Herrera’s smile widened. He turned and walked back towards his stall, his footsteps silent on the grimy platform. “Then follow me, Detective Quinn. The hunt is just beginning.”
created_at"2026-03-11T21:13:02.001Z" 3/11/2026, 9:13:02 PM
model"openrouter/healer-alpha"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1086
moderation_latency(null)
generation_time26888
tokens_prompt1140
tokens_completion2752
native_tokens_prompt1005
native_tokens_completion2304
native_tokens_completion_images(null)
native_tokens_reasoning430
native_tokens_cached4
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
router(null)
provider_responses(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773263582-RM9MaEfbW3McxDP2MhmQ"
upstream_id"gen-1773263582-RM9MaEfbW3McxDP2MhmQ"
total_cost0
cache_discount(null)
upstream_inference_cost0
provider_name"Stealth"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences22
tagDensity0.409
leniency0.818
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1524
totalAiIsmAdverbs0
found(empty)
highlights(empty)
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Elena"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
34.38% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1524
totalAiIsms20
found
0
word"fractured"
count1
1
word"gleaming"
count1
2
word"calculating"
count1
3
word"familiar"
count1
4
word"gloom"
count2
5
word"echoed"
count1
6
word"velvet"
count1
7
word"etched"
count1
8
word"intricate"
count1
9
word"flicked"
count1
10
word"weight"
count1
11
word"could feel"
count1
12
word"tension"
count1
13
word"glinting"
count1
14
word"whisper"
count2
15
word"unreadable"
count1
16
word"racing"
count1
17
word"footsteps"
count1
highlights
0"fractured"
1"gleaming"
2"calculating"
3"familiar"
4"gloom"
5"echoed"
6"velvet"
7"etched"
8"intricate"
9"flicked"
10"weight"
11"could feel"
12"tension"
13"glinting"
14"whisper"
15"unreadable"
16"racing"
17"footsteps"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"air was thick with"
count1
highlights
0"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences120
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences120
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"appeared to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences130
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1516
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount1299
uniqueNames16
maxNameDensity0.77
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Quinn10
Raven1
Nest1
Camden1
Transport1
London1
Tube1
Morris3
Veil1
Market1
Saint1
Christopher1
Elena1
Herrera6
Rookery1
persons
0"Quinn"
1"Morris"
2"Market"
3"Saint"
4"Christopher"
5"Elena"
6"Herrera"
places
0"Soho"
1"Raven"
2"Camden"
3"London"
globalScore1
windowScore0.833
66.67% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences90
glossingSentenceCount3
matches
0"blackness that seemed to eat the weak light from the street"
1"looked like suspended insects that moved"
2"looked like a clean, deep knife cut"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1516
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences130
matches
0"marked that her"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean39.89
std24.24
cv0.608
sampleLengths
057
119
288
338
478
56
659
787
814
955
1040
1157
1290
1351
1456
1543
1613
1718
1832
1920
2030
214
2277
2313
249
2557
2615
2740
2812
2937
3049
3152
328
3347
3454
3546
3617
3728
90.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences120
matches
0"was lost"
1"was covered"
2"was lost"
3"was holstered"
4"were rewritten"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs205
matches
0"was heading"
1"was still running"
2"were screaming"
32.97% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences5
totalSentences130
ratio0.038
matches
0"Twenty feet ahead, the suspect—a wiry silhouette in a grey hoodie—slipped and skidded on the gleaming wet asphalt."
1"She’d been on a quiet surveillance detail, sipping a lukewarm coffee in her unmarked car, when the face from the photo matches—a low-level fence she’d been tracking for weeks—had walked right past her window."
2"The sound of his flight—scraping boots, a dislodged stone—faded downward."
3"The smell of rain-washed asphalt gave way to something older—damp concrete, mineral dust, and a faint, cloying sweetness like rotting flowers mixed with ozone."
4"The rain, the chase, the impossible market—it all receded to the edges of a cold, sharp point: the name."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1314
adjectiveStacks2
stackExamples
0"narrow, brick-lined service"
1"short curly dark hair"
adverbCount27
adverbRatio0.02054794520547945
lyAdverbCount6
lyAdverbRatio0.0045662100456621
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences130
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences130
mean11.66
std7.52
cv0.645
sampleLengths
015
124
218
315
44
522
634
77
825
94
104
1111
126
133
1410
1512
168
1710
1815
1924
209
216
2229
2313
245
252
2610
2712
283
292
303
319
329
3316
3422
3511
3614
373
3824
399
4019
417
424
439
443
453
464
479
481
498
43.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.33076923076923076
totalSentences130
uniqueOpeners43
57.47% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences116
matches
0"Then a new voice cut"
1"Then she gave a single,"
ratio0.017
78.62% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount41
totalSentences116
matches
0"Her voice was a ragged"
1"He didn’t look back."
2"He’d darted out of the"
3"She’d been on a quiet"
4"He was younger, faster."
5"She paced her breathing, her"
6"He was heading north, towards"
7"He cut left, diving down"
8"Her suspect sprinted past a"
9"she hissed under her breath"
10"He yanked a rusted grate"
11"She didn’t draw it yet."
12"Her breath fogged in the"
13"Her partner, DS Morris, had"
14"She drew her sidearm, the"
15"It stretched into the gloom,"
16"He was still running."
17"She moved forward, her back"
18"She strained for sound."
19"She followed it into a"
ratio0.353
41.90% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount97
totalSentences116
matches
0"The rain fell in sheets,"
1"Harlow Quinn’s worn leather watch"
2"Her voice was a ragged"
3"He didn’t look back."
4"He’d darted out of the"
5"She’d been on a quiet"
6"The chase was instinct, brutal"
7"He was younger, faster."
8"She paced her breathing, her"
9"He was heading north, towards"
10"A stupid move."
11"He cut left, diving down"
12"Quinn followed, her footfalls slapping"
13"The alley spat them out"
14"The market stalls were skeletal"
15"Her suspect sprinted past a"
16"A maintenance access point for"
17"she hissed under her breath"
18"He yanked a rusted grate"
19"Quinn reached the opening, her"
ratio0.836
43.10% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences116
matches
0"Now the city blurred around"
ratio0.009
46.70% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences52
technicalSentenceCount7
matches
0"He yanked a rusted grate aside and disappeared down a steep flight of concrete steps, swallowed by a blackness that seemed to eat the weak light from the street…"
1"It stretched into the gloom, lit at erratic intervals by failing utility bulbs that cast more shadow than light."
2"Stalls crafted from old railway sleepers and draped in velvet held glowing vials, jars of what looked like suspended insects that moved with their own inner lig…"
3"The suspect vaulted over a chain blocking the defunct platform edge and dropped onto the tracks, landing with a splash in the shallow, stagnant water that colle…"
4"He scrambled up the far side and headed for a section of the tunnel wall that was covered in a thick, black tarp."
5"A man detached himself from the shadows near one of the larger stalls, which sold what appeared to be anatomical diagrams that moved."
6"He was in his late twenties, with short curly dark hair and warm brown eyes that assessed her with an unnerving stillness."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount3
matches
0"the woman said, her voice a gravelly rumble"
1"she began, her voice barely a whisper"
2"Herrera said, a ghost of a smile touching his lips"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"she hissed (hiss)"
dialogueSentences22
tagDensity0.227
leniency0.455
rawRatio0.2
effectiveRatio0.091
79.5793%