Run: 2026-09-01-01M1EMYRM52B0ZRA9ZWFDX69YF

Run Details

Duration:
59.8s
Cost:
$0.008407
Provider:
DeepInfra

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 did not fall; it struck. Detective Harlow Quinn pressed herself against the damp brick of The Raven’s Nest and let the green neon sign burn a sick emerald into her retinas. Old maps and black-and-white photographs covered every inch of the bar’s interior, but she was outside now, watching the doorway that led to the hidden back room. She had spent three hours wedged behind a bookshelf gap, counting figures, memorizing hands, noting which of them carried bone tokens that unlocked the forbidden. Now the room had emptied, and she watched the exit. A man stepped through. He wore a trench coat that clung to him like a second skin, rain slicking his dark hair to a skull that moved with nervous, precise jerks. Quinn’s brown eyes tracked him. She adjusted her worn leather watch on her left wrist, the tick of the hand a metronome for her patience. Eighteen years of decorated service, and she was still one shadow chasing another. “You follow anyone into the dark, you don’t come back with the same eyes.” Quinn turned. Tomás Herrera leaned against the wall beside her, olive skin dark under the neon, short curly dark brown hair flattened by the downpour. A Saint Christopher medallion hung at his throat, catching the green light like a warning. The scar running along his left forearm showed where a knife had carved its name into him years ago. He held a cigarette between fingers that had once held needles for the NHS, and now held them for patients who did not belong in any hospital. Quinn did not turn her head. “You shouldn’t be here, Herrera.” “I was inside,” he said, smoke curling between them. “Treating a foot wound from a customer of your clique. You think they are just criminals with ledgers. Down in the market, they are a different species.” The suspect turned north, away from the Soho lights, toward Camden. Quinn moved. She followed at a distance that kept her invisible, weaving through umbrellas that failed against the deluge. The streets became rivers. She passed the sharp memories of The Raven’s Nest walls—old maps of cities that no longer existed—and tried to match the geometry of the chase to those paper ghosts. The suspect’s boots struck the pavement with a drummer’s urgency. She lost him under an awning near a shuttered music shop, then found him again, his silhouette cutting through the steam rising from a subway grate. “Run faster,” Tomás shouted from somewhere behind her, his voice strained by rain. Quinn did not answer. Her sharp jaw tightened. She pushed into the next block, her salt-and-pepper hair plastered to her skull, military precision turning into something more animal. Her 5’9” frame cut through the crowd with the determination of a woman who had already lost her partner, DS Morris, to supernatural origins that official reports still could not explain. The suspect reached the edge of Camden without looking back. No neon guided this part of the city—only rust, the smell of abandoned copper, and the hollow breath of a station that had stopped breathing decades ago. Quinn caught the scene before the suspect disappeared. A staircase descended into black, old tiles cracked like teeth. At the top, the air smelled of ozone and iron. The entrance to The Veil Market lay hidden beneath Camden, a supernatural black market that moved every full moon and sold enchanted goods, banned alchemical substances, and the kind of information that made police files look like children’s homework. The suspect turned. He pulled a bone token from his pocket. The white sliver glinted in the dark. Quinn stepped into the doorway. The suspect did not hesitate. He placed the token on the ledge, and the darkness swallowed him. A door groaned open, old and heavy, and he vanished. Quinn stood at the top of the stairs. Her brown eyes adjusted to the black, finding only the glint of moisture on stone. She thought of DS Morris. She thought of three years of unexplained disappearances that had taught her that some cases do not end at the edge of the street. Tomás appeared at her shoulder, silent, holding a blood-stained cloth and a bag of supplies. His scarred forearm trembled slightly in the cold. “You need a token,” Tomás said. “The market moves. You follow without it, you don’t find your way out.” Quinn looked at the stairs. They spiraled down into an abandoned Tube station. “I lost my partner to what lives in places like this,” she said. Tomás nodded. “I was born in Seville. I moved to London for the NHS. They asked me to treat things that don’t bleed like men, and the board stripped my license. I still do it, because someone has to hold the needle when the supernatural gets hurt.” Quinn’s hand found her watch. She checked the time, though time felt useless now. “Is he inside?” she asked. Tomás shrugged. “The market sells everything—information, curses, cures. You think he is a suspect. Down there, he might be a customer, a vendor, or a meal. You don’t know the rules.” Quinn looked down. The stairs descended like a throat. She took a breath that tasted of iron and rain. Quinn descended. The first step echoed. Then the second. The darkness thickened, but she did not stop. The rain above faded, replaced by the drip of water in old tunnels and the distant, impossible hum of transactions conducted in a language older than London. Tomás followed ten paces back, his Saint Christopher medallion swinging like a pendulum against the black, his scar a map of every risk he had already taken. Quinn did not look back. She kept her eyes forward, into the market, into the unfamiliar territory where the clique had built its true home. The market breathed. The decision was made. She walked into it.
created_at"2026-09-01T14:11:18.796Z" 9/1/2026, 2:11:18 PM
model"thinkingmachines/inkling-small-20260730"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency212
moderation_latency(null)
generation_time59735
tokens_prompt1104
tokens_completion7785
native_tokens_prompt991
native_tokens_completion6634
native_tokens_completion_images(null)
native_tokens_reasoning6308
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00840675
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788271878-OaOhSdrxre3Qy1UU8K6e"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788271878-5e6DCJvBfbAeKOF5U0Bp"
upstream_id"chatcmpl-RvyEZswF1kdbdg38KDZcUvKH"
provider_responses
0
endpoint_id"d1d9657b-3c3a-49b5-8f81-33204e7c71c3"
id"chatcmpl-RvyEZswF1kdbdg38KDZcUvKH"
is_byokfalse
latency79
model_permaslug"thinkingmachines/inkling-small-20260730"
provider_name"DeepInfra"
status200
total_cost0.00840675
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.714
leniency1
rawRatio0
effectiveRatio0
94.91% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount983
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"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)
84.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount983
totalAiIsms3
found
0
word"glint"
count1
1
word"trembled"
count1
2
word"echoed"
count1
highlights
0"glint"
1"trembled"
2"echoed"
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
emotionTells0
narrationSentences57
matches(empty)
17.54% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount4
hedgeCount1
narrationSentences57
filterMatches
0"watch"
1"look"
2"think"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences60
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen59
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords979
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
68.89% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount863
uniqueNames16
maxNameDensity1.62
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn14
Raven2
Nest2
Herrera1
Saint2
Christopher2
Soho1
Camden3
Veil1
Market1
Morris1
You3
Tube1
Tomás7
London2
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Herrera"
4"Saint"
5"Christopher"
6"Morris"
7"You"
8"Tomás"
places
0"Soho"
1"Camden"
2"Veil"
3"London"
globalScore0.689
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount979
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences60
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean28.79
std24.39
cv0.847
sampleLengths
095
14
265
314
486
511
636
711
82
960
1026
1113
1259
1337
148
1559
1618
175
1827
1952
2023
2119
2213
2313
2447
2514
265
2731
289
2910
302
3142
3252
3311
99.11% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences57
matches
0"was made"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs144
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount1
flaggedSentences3
totalSentences60
ratio0.05
matches
0"The rain did not fall; it struck."
1"She passed the sharp memories of The Raven’s Nest walls—old maps of cities that no longer existed—and tried to match the geometry of the chase to those paper ghosts."
2"The suspect reached the edge of Camden without looking back. No neon guided this part of the city—only rust, the smell of abandoned copper, and the hollow breath of a station that had stopped breathing decades ago."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount501
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.02594810379241517
lyAdverbCount1
lyAdverbRatio0.001996007984031936
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences60
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences60
mean16.32
std12.73
cv0.78
sampleLengths
07
126
227
325
410
54
627
75
820
913
1014
112
1223
1315
1419
1527
166
175
189
1927
2011
212
2217
234
2429
2510
2626
2713
284
294
3020
3131
3237
338
3459
3518
365
3727
3852
3923
409
4110
4213
4313
447
457
4617
4716
4814
495
48.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.3
totalSentences60
uniqueOpeners18
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences48
matches(empty)
ratio0
78.33% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences48
matches
0"She had spent three hours"
1"He wore a trench coat"
2"She adjusted her worn leather"
3"He held a cigarette between"
4"he said, smoke curling between"
5"She followed at a distance"
6"She passed the sharp memories"
7"She lost him under an"
8"Her sharp jaw tightened."
9"She pushed into the next"
10"You follow without it, you"
11"I moved to London for"
12"They asked me to treat"
13"I still do it, because"
14"You think he is a"
15"You don’t know the"
16"She took a breath that"
ratio0.354
1.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences48
matches
0"The rain did not fall;"
1"Detective Harlow Quinn pressed herself"
2"She had spent three hours"
3"A man stepped through."
4"He wore a trench coat"
5"Quinn’s brown eyes tracked him."
6"She adjusted her worn leather"
7"Tomás Herrera leaned against the"
8"A Saint Christopher medallion hung"
9"The scar running along his"
10"He held a cigarette between"
11"Quinn did not turn her"
12"he said, smoke curling between"
13"The suspect turned north, away"
14"She followed at a distance"
15"The streets became rivers."
16"She passed the sharp memories"
17"The suspect’s boots struck the"
18"She lost him under an"
19"Tomás shouted from somewhere behind"
ratio0.917
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences48
matches
0"Now the room had emptied,"
ratio0.021
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount7
matches
0"Old maps and black-and-white photographs covered every inch of the bar’s interior, but she was outside now, watching the doorway that led to the hidden back roo…"
1"She had spent three hours wedged behind a bookshelf gap, counting figures, memorizing hands, noting which of them carried bone tokens that unlocked the forbidde…"
2"She followed at a distance that kept her invisible, weaving through umbrellas that failed against the deluge."
3"She lost him under an awning near a shuttered music shop, then found him again, his silhouette cutting through the steam rising from a subway grate."
4"The suspect reached the edge of Camden without looking back. No neon guided this part of the city—only rust, the smell of abandoned copper, and the hollow breat…"
5"A staircase descended into black, old tiles cracked like teeth. At the top, the air smelled of ozone and iron. The entrance to The Veil Market lay hidden beneat…"
6"Quinn stood at the top of the stairs. Her brown eyes adjusted to the black, finding only the glint of moisture on stone. She thought of DS Morris. She thought o…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
78.57% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"Tomás shouted (shout)"
dialogueSentences14
tagDensity0.357
leniency0.714
rawRatio0.2
effectiveRatio0.143
79.0699%