Run: 2026-02-19-01KHTRFXX2WT78Y17ANVM52WXY

Run Details

Duration:
11.9s
Cost:
$0.000630
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
The rain hammered down in relentless sheets, bouncing off puddles that reflected flickering neon signs. Detective Harlow Quinn sprinted through the slick streets of Soho, her boots pounding against cobblestones, breath echoing in her ears. She kept her eyes fixed on the figure ahead — a silhouette she’d seen too often lately, slipping between shadowed alleys with the fluid ease of someone who knew every hidden corner. Lights from a distant pub flickered, casting wavering shadows that danced around her. She clenched her jaw as her pulsing muscles dragged her closer. The suspect darted into a narrower alley, and Quinn followed without hesitation. The quiet of the backstreets swelled with the sound of rain. Each step splashed against wet stone, echoing through the silence until the suspect slipped into the mouth of an alley tucked behind an unassuming brick wall. Thoroughly soaked, Quinn pressed her back against the cold bricks, cautious. A faint glow of phosphorescent green flickered beyond the alley’s entrance. She paused, listening. No sounds — just the steady drizzle and her own ragged breathing. Then she heard it — the faint, shuffling footsteps behind her. She spun, hand on her holster, scanning the damp darkness. No one there. Just the empty alley, the rain, the distant hum of the city. A faint movement caught her eye — a shadow detaching from the wall. The suspect. The figure froze, turned, and looked over his shoulder. He held something in his hand — a small, irregular package wrapped in battered cloth. His eyes darted nervously. “Stop!” Quinn called, voice sharp, echoing off wet bricks. “You’re cornered.” He hesitated, then took a quick step back and vanished deeper into the alley. She cursed, pushing after him. The alley twisted, narrowing into a cul-de-sac, dead-ended behind a series of abandoned warehouses. No sign of him. Quinn’s boots skidded on the slick surface as she bounded to the end, then finally slowed. Above her, the flickering neon sign for The Raven’s Nest buzzed intermittently. The bar’s distinctive green glow seeped through grimy windows. Her intuition told her he might have ducked inside — that, or vanished into the night. She considered her options. Turning back seemed pointless. She was already in unfamiliar territory, and the suspect’s trail led here. Her hand hovered near her sidearm, nerves tightening. The city’s shadows seemed deeper here, darker than before. A faint clink echoed in the silence, sharp and unnatural. She froze, listening. From a side door, faint voices hummed, muffled by the rain. The bar. Probably a bad idea. She knew what kind of place it was — the kind of watering hole only locals and secrets knew. Still, nothing else made sense. Maybe he’d gone inside. Her instincts warred. Follow or wait? She tightened her grip on her weapon and stepped cautiously toward the entrance. The door swung open quietly as she approached, revealing a dimly lit interior. Ambient noise from a murmuring crowd filled the space, punctuated by clinking glasses and hushed conversations. The scent of stale beer and something sharper — maybe whiskey — clung to the air. She slipped inside, pressing against a wall near the door. The room was shadowed and sparse, with flickering bulbs casting sporadic pools of light. A few patrons sat scattered across worn booths, faces hidden behind cigarette smoke and fogged glass. Her eyes searched for the suspect, then caught movement near the bar. A tall figure, hoodie pulled low over his face, leaned in, speaking quietly to the bartender. Behind him, a door led to the back room, hidden behind a bookshelf. She stiffened, watching. The figure’s hand flashed upward briefly, clutching something small. Her heart hammered. She was in deep now. She took a step closer, only to see the figure stiffen. He turned suddenly, eyes locking with hers. Recognition flickered — a fleeting glimpse of desperation, then resolve. He reached into his pocket, fingers twitching. Quinn drew her weapon, voice low and measured. “Don’t.” The figure hesitated, then slowly raised both hands, palms open. No sudden moves. He looked like he knew he was caught, but that he also had nothing left to hide. The bar’s air thickened with silence, tense and expectant. Quinn moved forward, weapon steady. “Drop whatever you’re holding. Now.” A faint smile curled the man’s lips as he pulled out a small, faded medallion — the Saint Christopher, worn but intact. He held it out, trembling just enough to betray him. “No tricks,” she said softly. “Just tell me what’s going on.” He exhaled, eyes flickering with something like relief or resignation. “You don’t want to follow me down there,” he finally said, voice rough. “It’s a hell of a lot worse than you think.” She tightened her grip. “Start talking.” He hesitated, then slowly lowered his hands. “The market. The Veil Market. It’s not just about the stuff — that’s hard enough to grasp. They’re hiding something deeper, something they’re not supposed to sell. If you go in — you won’t come out.” The weight of his words settled over her. She glanced toward the door he’d pointed at earlier, behind the bar. The back room, hidden behind the bookshelf, loomed like a gateway to chaos. “What’s inside?” He shrugged, eyes dark. “Some things are better left unknown. The market moves every full moon, and then it’s gone again, like it was never there. But once you’re inside... it’s a rabbit hole.” She took a step closer, weapon still aimed. “I can’t ignore this. If you’ve seen it, then I have to see for myself.” His gaze dropped briefly to the floor, then nodded slowly. “Be careful. Once you step through that door, you’re in their world. It changes you.” Quinn held his gaze for a moment longer, then shifted her attention to the back room. Her fingers tightened around her weapon, resolve hardening. She had a choice: follow the suspect into the shadows of that underground market or turn back into the night, losing him forever. But the risk was already in the air, thick with rain and secrets waiting to be unmasked.
created_at"2026-02-19T10:52:50.983Z" 2/19/2026, 10:52:50 AM
model"openai/gpt-4.1-nano-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency278
moderation_latency(null)
generation_time11561
tokens_prompt1140
tokens_completion1635
native_tokens_prompt985
native_tokens_completion1330
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"
usage0.0006305
router(null)
provider_responses
0
endpoint_id"9251cee5-5503-4be9-9439-7ae21ff062a3"
id"resp_0c9ce5565af6e130016996eb830ee08195b2b4e5155dc107a5"
is_byokfalse
latency109
model_permaslug"openai/gpt-4.1-nano-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771498370-8kCKLbK2WMTtZAjzTemf"
upstream_id"resp_0c9ce5565af6e130016996eb830ee08195b2b4e5155dc107a5"
total_cost0.0006305
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount2
adverbTags
0"she said softly [softly]"
1"he finally said [finally]"
dialogueSentences14
tagDensity0.214
leniency0.429
rawRatio0.667
effectiveRatio0.286
65.21% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1006
totalAiIsmAdverbs7
found
0
adverb"nervously"
count1
1
adverb"cautiously"
count1
2
adverb"suddenly"
count1
3
adverb"slowly"
count3
4
adverb"softly"
count1
highlights
0"nervously"
1"cautiously"
2"suddenly"
3"slowly"
4"softly"
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)
0.60% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1006
totalAiIsms20
found
0
word"pounding"
count1
1
word"echoing"
count3
2
word"flickered"
count3
3
word"wavering"
count1
4
word"silence"
count3
5
word"footsteps"
count1
6
word"scanning"
count1
7
word"echoed"
count1
8
word"fleeting"
count1
9
word"resolve"
count2
10
word"measured"
count1
11
word"weight"
count1
12
word"loomed"
count1
highlights
0"pounding"
1"echoing"
2"flickered"
3"wavering"
4"silence"
5"footsteps"
6"scanning"
7"echoed"
8"fleeting"
9"resolve"
10"measured"
11"weight"
12"loomed"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"clenched jaw/fists"
count1
1
label"weight of words/silence"
count1
highlights
0"clenched her jaw"
1"The weight of his words"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences86
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences86
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences97
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1016
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
totalMentions14
wordCount881
uniqueNames7
maxNameDensity0.91
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn8
Soho1
Raven1
Nest1
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Saint"
5"Christopher"
places
0"Soho"
globalScore1
windowScore1
29.03% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount3
matches
0"seemed deeper here, darker than before"
1"looked like he knew he was caught, but th"
2"something like relief or resignation"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1016
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences97
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean26.74
std15.03
cv0.562
sampleLengths
067
124
249
337
436
543
611
714
839
937
1037
1124
1234
1319
1445
1540
1641
1720
1828
1915
201
2130
2214
235
2432
2511
2610
2723
286
2943
3033
312
3234
3323
3410
3515
3647
3717
97.10% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences86
matches
0"was shadowed"
1"was caught"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs172
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount11
semicolonCount0
flaggedSentences10
totalSentences97
ratio0.103
matches
0"She kept her eyes fixed on the figure ahead — a silhouette she’d seen too often lately, slipping between shadowed alleys with the fluid ease of someone who knew every hidden corner."
1"No sounds — just the steady drizzle and her own ragged breathing."
2"Then she heard it — the faint, shuffling footsteps behind her."
3"A faint movement caught her eye — a shadow detaching from the wall."
4"He held something in his hand — a small, irregular package wrapped in battered cloth."
5"Her intuition told her he might have ducked inside — that, or vanished into the night."
6"She knew what kind of place it was — the kind of watering hole only locals and secrets knew."
7"The scent of stale beer and something sharper — maybe whiskey — clung to the air."
8"Recognition flickered — a fleeting glimpse of desperation, then resolve."
9"A faint smile curled the man’s lips as he pulled out a small, faded medallion — the Saint Christopher, worn but intact."
86.47% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount873
adjectiveStacks0
stackExamples(empty)
adverbCount46
adverbRatio0.052691867124856816
lyAdverbCount20
lyAdverbRatio0.022909507445589918
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences97
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences97
mean10.47
std6.57
cv0.627
sampleLengths
015
120
232
313
411
512
611
726
811
911
103
1112
1211
1310
143
1512
1613
172
189
1915
204
219
222
2314
245
2514
264
2716
2812
299
3016
314
324
3312
348
359
3610
373
3811
392
404
4119
425
434
443
453
4613
4713
4816
4916
56.01% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.36082474226804123
totalSentences97
uniqueOpeners35
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences84
matches
0"Thoroughly soaked, Quinn pressed her"
1"Then she heard it —"
2"Just the empty alley, the"
3"Probably a bad idea."
4"Maybe he’d gone inside."
ratio0.06
43.81% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount37
totalSentences84
matches
0"She kept her eyes fixed"
1"She clenched her jaw as"
2"She paused, listening."
3"She spun, hand on her"
4"He held something in his"
5"His eyes darted nervously."
6"He hesitated, then took a"
7"She cursed, pushing after him."
8"Her intuition told her he"
9"She considered her options."
10"She was already in unfamiliar"
11"Her hand hovered near her"
12"She froze, listening."
13"She knew what kind of"
14"Her instincts warred."
15"She tightened her grip on"
16"She slipped inside, pressing against"
17"Her eyes searched for the"
18"She stiffened, watching."
19"Her heart hammered."
ratio0.44
73.10% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences84
matches
0"The rain hammered down in"
1"Detective Harlow Quinn sprinted through"
2"She kept her eyes fixed"
3"She clenched her jaw as"
4"The suspect darted into a"
5"The quiet of the backstreets"
6"Each step splashed against wet"
7"A faint glow of phosphorescent"
8"She paused, listening."
9"She spun, hand on her"
10"A faint movement caught her"
11"The figure froze, turned, and"
12"He held something in his"
13"His eyes darted nervously."
14"Quinn called, voice sharp, echoing"
15"He hesitated, then took a"
16"She cursed, pushing after him."
17"The alley twisted, narrowing into"
18"Quinn’s boots skidded on the"
19"The bar’s distinctive green glow"
ratio0.774
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences84
matches(empty)
ratio0
97.26% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount3
matches
0"The rain hammered down in relentless sheets, bouncing off puddles that reflected flickering neon signs."
1"Detective Harlow Quinn sprinted through the slick streets of Soho, her boots pounding against cobblestones, breath echoing in her ears."
2"She kept her eyes fixed on the figure ahead — a silhouette she’d seen too often lately, slipping between shadowed alleys with the fluid ease of someone who knew…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount2
matches
0"Quinn called, voice sharp, echoing off wet bricks"
1"he finally said, voice rough"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences14
tagDensity0.214
leniency0.429
rawRatio0
effectiveRatio0
73.8420%