Run: 2026-02-19-01KHTR4ABSTXQQS3Z6RYQAR0EX

Run Details

Model:
GPT-4.1
Duration:
49.9s
Cost:
$0.014138
Provider:
OpenAI

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
Rain hammered neon into puddles along Dean Street. Detective Harlow Quinn dodged a cyclist, boots splashing water up her trouser legs, haze swirling around her as she spotted the flick of a black coat off into the night. Streetlights fought a losing battle against heavy clouds. Quinn caught her breath at the curb, sharp jaw clenched, salt-and-pepper fringe slicked to her forehead. The suspect looked over his shoulder—thin, limping, eyes wide. He darted past a cab and disappeared down Greek Street. She pressed the worn leather watch tight to her wrist, the old habit a silent comfort. There wasn’t time for backup. There was the shape slipping further away, coat catching on the sharp corners of Soho, vanishing into the shadow between two shuttered shops—a sliver of alley. Quinn glanced up. No sign of anyone watching, except the CCTV glinting down, recording her, not him. So much for a fair game. A dog barked somewhere. Quinn ducked through the alley, shoulder brushing brick, hand ready on the grip of her torch. The passage narrowed, foul with bin smells. Water ran off the corrugated metal above and spattered cold onto her neck. Ahead, a metal gate rattled—her quarry forced it and vanished below the bricks. Quinn gritted her teeth. Options flickered through her mind—protocol, radios, jurisdiction. She crouched and looked down. Steps sank into darkness, slick with algae. She flicked her torch on—bare bulb of light, picked out boots scuffing down ahead, the echo of hurried breath. She followed. Cool air pressed in, clinging damp. Pipework overhead dripped. The steps wound lower, then spat her into a tiled corridor, flaking azure and cream. Her quarry’s pace echoed in the silence. A rush of adrenaline cut straight through the exhaustion. He shot a glance over his shoulder, then threw himself left through a battered metal door. Quinn followed, not slowing—a cop’s instincts and stubbornness both digging in. She stumbled out into something uncanny. The tunnel stretched wide—impossibly so. Lamplight flickered on lines of market stalls, each hung with faded fabrics, battered candelabras, jars of odd powders. Voices murmured in strange accents, some not quite human. The air buzzed, chemical-sweet and metallic. She pressed herself behind a pillar, breathing hard. The suspect glanced back, dodged a thick-set woman with a goat’s head, then vanished deeper among the stalls. Quinn’s training argued for retreat—unfamiliar territory, no backup. But adrenaline drowned the voice; the case demanded answers. She fished in her pocket, found her badge, its edge cool and grounding. Then she went forward, jaw set, eyes sharp, scanning crowd and shadows both. The Market pressed close, twitching, hungry. An old man with fox-bright eyes eyed her wrist. “Looking to sell, officer? Fine trinket for a fine price.” She ignored him, kept low, trailing her quarry. Past a stall of dried bones and pink-glowing orbs, past a troupe of street kids bartering with a woman whose hands shimmered blue. The crowd sucked at her—eyes watching, whispers curling. Footprints slicked with blood and spilled port led off to the left. She cut that way, counting heartbeats. Down a row where brass lanterns hissed moths, she caught sight of the coat—her man bartering with a tall, wiry trader, who slid something into his palm. A bone token, rough and ancient. Quinn ducked behind a half-open crate, adjusting her stance, every nerve firing. Words drifted. "I need out—now." The trader’s teeth showed, sharp, uneven. “No token, no gate.” Her quarry produced the token. The trader led him to a side passage, lined with velvet curtains. Quinn circled, keeping to shadows. Her mind skimmed casefiles: supernatural black market, whispers of the Veil, missing persons. Morris’s face flashed up—gone three years, still unburied in her bones. She set her jaw. Not tonight. As the two vanished behind a curtain, a hand shot out and caught Quinn’s sleeve. Warm brown eyes, wary. “You shouldn’t be here.” Tomás Herrera, the voice she recognised from tip lines and stitched bodies. She shook him loose. "Bastard’s mine—move." Herrera looked her up and down, voice low. “The Market eats cops, Harlow. Let this one go.” She pressed forward. Herrera blocked her again, hard, scar on his forearm catching the lamplight. “Lose him tonight, you lose him forever,” he warned. “You follow, you don’t come back clean.” Rain ran down her neck, inside her shirt. She kept her voice steady. “Won’t turn my back. He murdered two men last night—left their eyes burned out. Yours, their blood, same alley.” Tomás’ jaw tightened. "People in here play deep games. You understand?" She shot him a look, brown eyes steel. "Games end. Justice doesn't." She shouldered past. Her quarry slipped beyond the curtain. Quinn darted after, heart hissing, torch light held low. The curtain’s touch chilled her. On the other side, the passage bent, brick walls bleeding moss, lanterns casting greenish shadows. A group huddled at the far end, faces half-wolf, half-woman; behind them, an old Tube platform, tracks bleeding into black. The suspect—her suspect—headed toward an arched gate, bone-slat barrier rising magically as tokens changed hands. A hum vibrated the air, a keening pressure behind Quinn’s eyes. She went forward, blending with the crowd, shoulders squared, boots silent. A stallholder thrust a ribbon of dried flowers at her—she waved it away, kept her eyes sharp. Her quarry paused at the gate, head low. The trader regarded him, face flickering between human and something else, eyes all pupil. "My business is outside," Quinn called, voice crisp as frost. The trader’s mouth curled. The crowd shuddered away, sensing trouble. Her quarry twisted, eyes wild and desperate. “Stay back,” he spat, hand dipping into his coat. Quinn’s own hand drifted to her belt, fingers brushing cold metal. No way she’d shoot—too many civilians, too much fallout—but she squared up, stance wide. "You run again, you vanish for good," she called, keeping steady. "Or you face it here, with the law." The hum at the gate built to a shriek. Her suspect wavered, torn between worlds. The crowd swirled, a beast of whispers and judgements. Tomás pushed through behind her, voice urgent. “Step back, Harlow. This place—” She cut him off. “Tell him.” Tomás fixed the man with a stare. “You cross the Veil now, you’re not coming back. Not as you.” The suspect stared between them. Street rain glistened in his hair, jaw trembling. Quinn held his gaze—one cop, nothing left of fear, all battered resolve. The Market seemed to hang, suspended, the shriek fading, only heartbeats and rain echoing through the buried city.
created_at"2026-02-19T10:46:30.525Z" 2/19/2026, 10:46:30 AM
model"openai/gpt-4.1-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency441
moderation_latency(null)
generation_time49814
tokens_prompt1140
tokens_completion1803
native_tokens_prompt985
native_tokens_completion1521
native_tokens_completion_images0
native_tokens_reasoning0
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"completed"
usage0.014138
router(null)
provider_responses
0
endpoint_id"c235abe8-11cc-42d3-95ad-72f4d198287a"
id"resp_0cc8f35faedbbdb5016996ea069a948193ad469a6578c26401"
is_byokfalse
latency128
model_permaslug"openai/gpt-4.1-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497990-vK7tIT6nGVReMGWa94W8"
upstream_id"resp_0cc8f35faedbbdb5016996ea069a948193ad469a6578c26401"
total_cost0.014138
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences18
tagDensity0.222
leniency0.444
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1113
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)
23.63% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1113
totalAiIsms17
found
0
word"jaw clenched"
count1
1
word"glinting"
count1
2
word"flickered"
count2
3
word"flicked"
count1
4
word"echo"
count1
5
word"echoed"
count1
6
word"silence"
count1
7
word"uncanny"
count1
8
word"scanning"
count1
9
word"shimmered"
count1
10
word"velvet"
count1
11
word"chilled"
count1
12
word"vibrated"
count1
13
word"wavered"
count1
14
word"resolve"
count1
15
word"echoing"
count1
highlights
0"jaw clenched"
1"glinting"
2"flickered"
3"flicked"
4"echo"
5"echoed"
6"silence"
7"uncanny"
8"scanning"
9"shimmered"
10"velvet"
11"chilled"
12"vibrated"
13"wavered"
14"resolve"
15"echoing"
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
narrationSentences101
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences101
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)
analyzedSentences116
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1084
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
72.20% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount964
uniqueNames12
maxNameDensity1.56
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Dean1
Street3
Harlow1
Quinn15
Greek1
Soho1
Market2
Veil1
Herrera3
Rain2
Tube1
Tomás3
persons
0"Harlow"
1"Quinn"
2"Market"
3"Herrera"
4"Rain"
5"Tomás"
places
0"Dean"
1"Street"
2"Greek"
3"Soho"
globalScore0.722
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences77
glossingSentenceCount1
matches
0"not quite human"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1084
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences116
matches
0"cut that way"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean21.68
std20.13
cv0.928
sampleLengths
081
170
253
342
442
533
638
743
832
99
1010
1151
1239
1314
143
156
164
1752
1819
194
2012
214
222
238
249
2515
2616
2713
2819
293
308
318
324
333
3481
3528
3622
3710
3817
399
4025
4119
4231
435
444
452
467
4712
4825
4918
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences101
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs184
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount17
semicolonCount2
flaggedSentences17
totalSentences116
ratio0.147
matches
0"The suspect looked over his shoulder—thin, limping, eyes wide."
1"There was the shape slipping further away, coat catching on the sharp corners of Soho, vanishing into the shadow between two shuttered shops—a sliver of alley."
2"Ahead, a metal gate rattled—her quarry forced it and vanished below the bricks."
3"Options flickered through her mind—protocol, radios, jurisdiction."
4"She flicked her torch on—bare bulb of light, picked out boots scuffing down ahead, the echo of hurried breath."
5"Quinn followed, not slowing—a cop’s instincts and stubbornness both digging in."
6"The tunnel stretched wide—impossibly so."
7"Quinn’s training argued for retreat—unfamiliar territory, no backup."
8"But adrenaline drowned the voice; the case demanded answers."
9"The crowd sucked at her—eyes watching, whispers curling."
10"Down a row where brass lanterns hissed moths, she caught sight of the coat—her man bartering with a tall, wiry trader, who slid something into his palm."
11"Morris’s face flashed up—gone three years, still unburied in her bones."
12"A group huddled at the far end, faces half-wolf, half-woman; behind them, an old Tube platform, tracks bleeding into black."
13"The suspect—her suspect—headed toward an arched gate, bone-slat barrier rising magically as tokens changed hands."
14"A stallholder thrust a ribbon of dried flowers at her—she waved it away, kept her eyes sharp."
15"No way she’d shoot—too many civilians, too much fallout—but she squared up, stance wide."
16"Quinn held his gaze—one cop, nothing left of fear, all battered resolve."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount730
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.024657534246575342
lyAdverbCount1
lyAdverbRatio0.0013698630136986301
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences116
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences116
mean9.34
std5.45
cv0.583
sampleLengths
08
130
28
316
49
510
616
75
826
93
1014
116
124
1316
147
1513
1613
174
187
195
207
2119
222
236
243
2515
267
279
2816
2911
306
315
3218
339
346
358
3618
378
389
3913
4013
416
429
4310
448
4523
468
4712
486
4927
66.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.41379310344827586
totalSentences116
uniqueOpeners48
34.36% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences97
matches
0"Then she went forward, jaw"
ratio0.01
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences97
matches
0"He darted past a cab"
1"She pressed the worn leather"
2"She crouched and looked down."
3"She flicked her torch on—bare"
4"Her quarry’s pace echoed in"
5"He shot a glance over"
6"She stumbled out into something"
7"She pressed herself behind a"
8"She fished in her pocket,"
9"She ignored him, kept low,"
10"She cut that way, counting"
11"Her quarry produced the token."
12"Her mind skimmed casefiles: supernatural"
13"She set her jaw."
14"She shook him loose."
15"She pressed forward."
16"She kept her voice steady."
17"She shot him a look,"
18"She shouldered past."
19"Her quarry slipped beyond the"
ratio0.278
37.32% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount82
totalSentences97
matches
0"Detective Harlow Quinn dodged a"
1"Streetlights fought a losing battle"
2"Quinn caught her breath at"
3"The suspect looked over his"
4"He darted past a cab"
5"She pressed the worn leather"
6"Quinn glanced up."
7"A dog barked somewhere."
8"Quinn ducked through the alley,"
9"The passage narrowed, foul with"
10"Water ran off the corrugated"
11"Quinn gritted her teeth."
12"Options flickered through her mind—protocol,"
13"She crouched and looked down."
14"Steps sank into darkness, slick"
15"She flicked her torch on—bare"
16"Pipework overhead dripped."
17"The steps wound lower, then"
18"Her quarry’s pace echoed in"
19"A rush of adrenaline cut"
ratio0.845
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences97
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount1
matches
0"Down a row where brass lanterns hissed moths, she caught sight of the coat—her man bartering with a tall, wiry trader, who slid something into his palm."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount1
matches
0"Quinn called, voice crisp as frost"
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount2
fancyTags
0"he warned (warn)"
1"he spat (spit)"
dialogueSentences18
tagDensity0.222
leniency0.444
rawRatio0.5
effectiveRatio0.222
79.0927%