Run: 2026-07-25-01KYCSEV08QD595DHHEQ8G07FS

Run Details

Duration:
5m 59s
Cost:
$0.020472
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
Rain hammered Soho’s pavement with the weight of a dropped anvil. Quinn’s boots punched through black puddles that reflected the green neon sign of The Raven’s Nest in broken shards of emerald light. She had waited three hours in the doorway across the street, watching the old maps and black-and-white photographs behind the bar’s fogged windows, until Herrera slipped out the back with the quickness of a man who knew he was hunted. He ran. Quinn gave chase without calling for backup. Her closely cropped salt-and-pepper hair had soaked flat against her skull within seconds. The worn leather watch on her left wrist ticked against her wristbone as she pumped her arms. Brown eyes locked onto his dark curls bouncing beneath the streetlamps. Her sharp jaw was carved stone, set with military precision. “Herrera!” Her voice cut through the storm. He didn’t stop. His Saint Christopher medallion bounced against his collarbone, flashing gold each time he glanced back. The scar running along his left forearm glistened white against his olive skin where rain soaked his rolled sleeve. “You lost Morris in darkness like this,” he shouted over his shoulder. His Seville accent bent the words sharp. “I’m not your ghost to chase, Quinn!” Quinn’s stride lengthened. She knew these alleys better than she knew her own flat. She knew The Raven’s Nest served more than whisky—it served the clique in its hidden back room behind the bookshelf, where clandestine meetings happened in whispers. “You administered to them,” she called. “Unlicensed treatments. Supernatural patients.” “Saved them!” Herrera reached the corner and pivoted hard, splashing toward the old Camden entrance. “You want criminals? Read your own partner’s file!” The abandoned Tube station gaped like a broken mouth beneath a dead sign. Rainwater cascaded down the cracked tiles. Herrera pulled the bone token from his pocket—pale ivory, carved with lines that made Quinn’s teeth ache just to look at it—and pressed it against the rusted gate. The metal groaned. Opened. Quinn hit the top step as the gate swung wide. Below, the air transformed. Ozone bit her nose. Old copper coated her tongue. The smell of banned alchemy crept up the stairs like a living thing. The Veil Market sprawled through the abandoned platform beneath Camden. Stalls crowded the tracks, lit by candles that burned blue and violet. Glass cases held enchanted goods that hummed softly—rings that whispered, knives that bled black smoke. Vendors traded in information, murmuring prices for secrets that could ruin lives. Banned alchemical substances glowed in locked vials, colours that had no names in daylight. Herrera descended. The bone token disappeared into his pocket. Quinn stood at the threshold. Her coat dripped onto the cracked concrete. Every instinct hammered that this was wrong—unfamiliar territory, dangerous, moving every full moon to protect its own. She had no token. No invitation. Only eighteen years of decorated service and a partner who had vanished three years ago into circumstances that had supernatural origins the force refused to name. She stepped down. The gate sealed behind her with a sound like bone snapping. The crowd swallowed them both. Herrera moved through the stalls with the ease of a regular visitor. His warm brown eyes scanned the shadows. The scar on his forearm caught the violet light as he raised a hand to greet a figure in a coat stitched with silver thread. Quinn followed, her boots silent on the damp tiles. She kept her distance close enough to see the tension in his shoulders, far enough to avoid the reach of strangers. A vendor displayed teeth carved into playing cards. Another traded powders that smelled of burning hair. Quinn’s hand stayed near her waist, not for a weapon she hadn’t drawn, but for the weight of the decision that had brought her here. She caught him beside a stall selling liquid darkness in glass bottles. Herrera turned. The Saint Christopher medallion rested against his collarbone, tarnished with age and travel. “You came down,” he said. His voice dropped to something almost gentle. “Quinn. You can’t police this.” “I can follow,” she said. “You think I run the clique? I patch their wounds. I don’t command them.” “Then why run from me?” His gaze flicked past her. A hooded figure watched from the platform edge, eyes reflecting the candlelight wrong—too bright, too sharp. “Because you’re a detective walking into a full moon market without a bone token. They smell police down here. They smell DS Morris’s absence on you.” Quinn’s breath steadied. The rain above felt like another planet. Down here, the rules were older than her badge, older than the Metropolitan Police itself. She remembered Morris in fragments—her partner’s laugh, the unexplained silence after the case that had taken her away, the supernatural origins Quinn refused to understand but could no longer deny. Her brown eyes held his. “Show me what you treat,” Quinn said. Her sharp jaw tightened. “Show me the wounds. Then we talk about guilt.” Herrera studied her for a long breath. The scar on his left forearm seemed to pulse in the violet light. He nodded once, not in agreement, but in acknowledgment. He turned. Led her deeper into the abandoned station, past stalls of forbidden alchemy and whispered information, through a crowd that parted for him and closed behind her like water. Quinn followed. The worn leather watch on her left wrist ticked against the dark. She had made her choice.
created_at"2026-07-25T14:04:25.488Z" 7/25/2026, 2:04:25 PM
model"thinkingmachines/inkling-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency346
moderation_latency(null)
generation_time359275
tokens_prompt1104
tokens_completion6064
native_tokens_prompt992
native_tokens_completion5000
native_tokens_completion_images(null)
native_tokens_reasoning4622
native_tokens_cached928
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)
usage0.02047176
router(null)
provider_responses
0
endpoint_id"d6b9d68e-115a-49d7-81cd-1ad1c6942b0e"
id"chatcmpl-R6HuktwtXQuDtCI2lnMZWIjJ"
is_byokfalse
latency52
model_permaslug"thinkingmachines/inkling-20260715"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784988265-sto0I2Z4FCxj18kRcn7x"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784988265-SqRv8gkSkAcs1M9qjWJK"
upstream_id"chatcmpl-R6HuktwtXQuDtCI2lnMZWIjJ"
total_cost0.02047176
cache_discount0.00077024
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
94.51% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount910
totalAiIsmAdverbs1
found
0
adverb"softly"
count1
highlights
0"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)
56.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount910
totalAiIsms8
found
0
word"weight"
count2
1
word"clandestine"
count1
2
word"scanned"
count1
3
word"tension"
count1
4
word"flicked"
count1
5
word"silence"
count1
6
word"pulse"
count1
highlights
0"weight"
1"clandestine"
2"scanned"
3"tension"
4"flicked"
5"silence"
6"pulse"
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
narrationSentences77
matches(empty)
87.20% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences77
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)
analyzedSentences85
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords903
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
75.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount800
uniqueNames15
maxNameDensity1.5
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Raven2
Nest2
Herrera7
Saint2
Christopher2
Seville1
Camden2
Tube1
Quinn12
Veil1
Market1
Metropolitan1
Police1
Morris1
persons
0"Raven"
1"Nest"
2"Herrera"
3"Saint"
4"Christopher"
5"Quinn"
6"Market"
7"Morris"
places
0"Soho"
1"Seville"
globalScore0.75
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount1
matches
0"felt like another planet"
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords2.215
wordCount903
matches
0"not for a weapon she hadn’t drawn, but for the weight of the decision"
1"not in agreement, but in acknowledgment"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences85
matches
0"hammered that this"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean25.08
std20.28
cv0.809
sampleLengths
073
12
258
37
437
526
640
710
823
947
104
1136
1263
139
1461
153
1611
175
1844
1930
2041
2112
2215
2317
245
2514
265
2747
2855
295
3020
3129
3230
332
3412
355
96.15% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences77
matches
0"was hunted"
1"was carved"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs145
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences85
ratio0.071
matches
0"She knew The Raven’s Nest served more than whisky—it served the clique in its hidden back room behind the bookshelf, where clandestine meetings happened in whispers."
1"Herrera pulled the bone token from his pocket—pale ivory, carved with lines that made Quinn’s teeth ache just to look at it—and pressed it against the rusted gate."
2"Glass cases held enchanted goods that hummed softly—rings that whispered, knives that bled black smoke."
3"Every instinct hammered that this was wrong—unfamiliar territory, dangerous, moving every full moon to protect its own."
4"A hooded figure watched from the platform edge, eyes reflecting the candlelight wrong—too bright, too sharp."
5"She remembered Morris in fragments—her partner’s laugh, the unexplained silence after the case that had taken her away, the supernatural origins Quinn refused to understand but could no longer deny."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount811
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.02466091245376079
lyAdverbCount3
lyAdverbRatio0.0036991368680641184
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
mean10.62
std7.75
cv0.729
sampleLengths
011
122
240
32
47
513
617
711
810
97
103
1115
1219
1312
147
157
163
1711
1826
196
204
2115
228
2313
246
2528
263
271
2810
294
304
315
3213
3310
3412
3515
3612
3714
382
397
405
417
4217
434
442
4526
463
4711
485
4912
58.04% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3764705882352941
totalSentences85
uniqueOpeners32
50.51% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences66
matches
0"Only eighteen years of decorated"
ratio0.015
80.61% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences66
matches
0"She had waited three hours"
1"Her closely cropped salt-and-pepper hair"
2"Her sharp jaw was carved"
3"Her voice cut through the"
4"He didn’t stop."
5"His Saint Christopher medallion bounced"
6"he shouted over his shoulder"
7"His Seville accent bent the"
8"She knew these alleys better"
9"She knew The Raven’s Nest"
10"Her coat dripped onto the"
11"She had no token."
12"She stepped down."
13"His warm brown eyes scanned"
14"She kept her distance close"
15"She caught him beside a"
16"His voice dropped to something"
17"His gaze flicked past her."
18"She remembered Morris in fragments—her"
19"Her brown eyes held his."
ratio0.348
13.03% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences66
matches
0"Quinn’s boots punched through black"
1"She had waited three hours"
2"Quinn gave chase without calling"
3"Her closely cropped salt-and-pepper hair"
4"The worn leather watch on"
5"Brown eyes locked onto his"
6"Her sharp jaw was carved"
7"Her voice cut through the"
8"He didn’t stop."
9"His Saint Christopher medallion bounced"
10"The scar running along his"
11"he shouted over his shoulder"
12"His Seville accent bent the"
13"Quinn’s stride lengthened."
14"She knew these alleys better"
15"She knew The Raven’s Nest"
16"Herrera reached the corner and"
17"The abandoned Tube station gaped"
18"Rainwater cascaded down the cracked"
19"Herrera pulled the bone token"
ratio0.894
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences66
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount7
matches
0"Quinn’s boots punched through black puddles that reflected the green neon sign of The Raven’s Nest in broken shards of emerald light."
1"She had waited three hours in the doorway across the street, watching the old maps and black-and-white photographs behind the bar’s fogged windows, until Herrer…"
2"Glass cases held enchanted goods that hummed softly—rings that whispered, knives that bled black smoke."
3"Banned alchemical substances glowed in locked vials, colours that had no names in daylight."
4"Only eighteen years of decorated service and a partner who had vanished three years ago into circumstances that had supernatural origins the force refused to na…"
5"She remembered Morris in fragments—her partner’s laugh, the unexplained silence after the case that had taken her away, the supernatural origins Quinn refused t…"
6"Led her deeper into the abandoned station, past stalls of forbidden alchemy and whispered information, through a crowd that parted for him and closed behind her…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
83.33% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount1
fancyTags
0"he shouted (shout)"
dialogueSentences15
tagDensity0.333
leniency0.667
rawRatio0.2
effectiveRatio0.133
76.4804%