Run: 2026-07-25-01KYCSDS4CW2679NZE22BRGRJR

Run Details

Duration:
23.9s
Cost:
$0.011776
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 cobblestones like thrown gravel. Detective Harlow Quinn kept her shoulders square, boots cracking puddles, breath sharp in her throat. The runner ahead wore black that drank the streetlamp glow. Three years since DS Morris vanished, Quinn carried that absence like a drawn blade. Tonight the clique left fingerprints on stolen alchemist supplies, and this shadow knew exactly where they hid. "Stop! Police!" Her voice cut through the downpour. The figure didn’t slow. He veered past The Raven’s Nest, its green neon bleeding across wet brick like a wound, then ducked down a stairwell marked with faded Underground roundels. Quinn reached the rail. Her worn leather watch glinted as she gripped cold iron. Below, darkness yawned, thick with rust and old electricity. She followed. The stairwell stank of corrosion and forgotten trains. Water dripped from cracked tiles in rhythmic taps. Quinn moved with military precision, each footfall deliberate, her sharp jaw set against the dark. At the bottom, a corridor stretched toward Camden’s abandoned bones. The suspect moved fast, coat flaring like a crow’s wing. Quinn’s brown eyes narrowed. She kept ten paces back, close enough to hear his ragged breathing, far enough to avoid a blade. They emerged into the Veil Market. The space opened like a ruptured lung: vaulted brick, black-market lanterns, smoke thick with myrrh and copper. Vendors hawked enchanted goods from crates—bone charms, bottled thunder, alchemical powders that glowed violet beneath tarps. The schedule moved every full moon; tonight the place pulsed with hungry life. The runner vanished into the crowd. Quinn paused at the threshold. A guard with a bone token strung around his neck watched her with eyes like dull coins. No token rested against her collarbone, only the weight of her badge and the leather watch ticking against her wrist. Unfamiliar territory. Dangerous. Then she saw the runner slip behind a curtain marked with an eye symbol. Quinn stepped inside. The air changed immediately—thicker, charged, smelling of iron and forbidden incense. Her boots sank into grime that might have been mud or something older. Stalls pressed close, offering banned alchemical substances in glass vials, information traded in whispers, goods that shimmered with impossible colours. A vendor with silver-streaked hair blocked her path. "Bone token, copper." His voice scraped like a file against metal. Quinn ignored him, scanning the crowd. Her closely cropped salt-and-pepper hair clung damp to her skull. The runner turned. His face emerged half-lit by a violet lantern—sharp cheekbones, dark hair plastered to his forehead by rain. Warm brown eyes locked onto hers, not with fear, but with recognition. "You shouldn't have come, detective." His accent carried the clipped edge of London born, raised on these same streets. Quinn’s hand rested near her holster, fingers loose but ready. "I'm not leaving empty-handed." He laughed, brittle as broken glass. "This market eats badges. Eats cops who chase ghosts into the dark." "Morris wasn't a ghost." Her voice stayed level, but her jaw tightened. The runner’s expression shifted, something darker flickering across his features. "Morris? You still chase his shadow through rain?" "I chase the clique that buried him." Quinn moved closer, her presence cutting through the smoke. "Your unauthorized treatments, your black-market alchemists. This place feeds you." He backed toward a hidden arch carved into the brick. "Then follow me deeper and see if your truth survives the teeth down here." Quinn looked back. The entrance glowed faintly—rain-soaked streets, safety, ignorance, the world she understood. The guard with the bone token watched, expression blank, unchallenged. She turned her back on the open air. Quinn followed the runner into the dark.
created_at"2026-07-25T14:03:50.806Z" 7/25/2026, 2:03:50 PM
model"thinkingmachines/inkling-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency392
moderation_latency(null)
generation_time23640
tokens_prompt1104
tokens_completion3286
native_tokens_prompt992
native_tokens_completion2748
native_tokens_completion_images(null)
native_tokens_reasoning2295
native_tokens_cached416
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)
usage0.01177612
router(null)
provider_responses
0
endpoint_id"d6b9d68e-115a-49d7-81cd-1ad1c6942b0e"
id"chatcmpl-RN2zDAH4iyAaTXCDuQYHRtuv"
is_byokfalse
latency131
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-1784988230-q4w50mlrOK0M0SxIQOYz"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784988230-aa1DKjbnAvDdJ2e3ZqJc"
upstream_id"chatcmpl-RN2zDAH4iyAaTXCDuQYHRtuv"
total_cost0.01177612
cache_discount0.00034528
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount1
adverbTags
0"His voice scraped like [like]"
dialogueSentences10
tagDensity0.4
leniency0.8
rawRatio0.25
effectiveRatio0.2
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount605
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)
42.15% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount605
totalAiIsms7
found
0
word"rhythmic"
count1
1
word"footfall"
count1
2
word"pulsed"
count1
3
word"weight"
count1
4
word"charged"
count1
5
word"shimmered"
count1
6
word"scanning"
count1
highlights
0"rhythmic"
1"footfall"
2"pulsed"
3"weight"
4"charged"
5"shimmered"
6"scanning"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences53
matches
0"t with fear"
88.95% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences53
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences58
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords600
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
37.01% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount531
uniqueNames11
maxNameDensity2.26
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn12
Morris1
Raven1
Nest1
Underground1
Camden1
Veil1
Market1
London1
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Raven"
4"Camden"
places
0"Soho"
1"Veil"
2"London"
globalScore0.37
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount0
matches(empty)
33.33% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.667
wordCount600
matches
0"not with fear, but with recognition"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences58
matches
0"carried that absence"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean21.43
std15.59
cv0.727
sampleLengths
063
18
230
323
42
551
622
76
846
96
1045
1114
123
1344
148
1511
1616
1732
1819
1914
2018
2112
2218
2326
2424
2524
268
277
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences53
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs102
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount1
flaggedSentences5
totalSentences58
ratio0.086
matches
0"Vendors hawked enchanted goods from crates—bone charms, bottled thunder, alchemical powders that glowed violet beneath tarps."
1"The schedule moved every full moon; tonight the place pulsed with hungry life."
2"The air changed immediately—thicker, charged, smelling of iron and forbidden incense."
3"His face emerged half-lit by a violet lantern—sharp cheekbones, dark hair plastered to his forehead by rain."
4"The entrance glowed faintly—rain-soaked streets, safety, ignorance, the world she understood."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount541
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.025878003696857672
lyAdverbCount5
lyAdverbRatio0.009242144177449169
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences58
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences58
mean10.34
std5.29
cv0.512
sampleLengths
07
115
210
314
417
58
64
726
84
910
109
112
128
138
1415
1510
1610
174
1818
196
2017
2116
2213
236
245
2517
2620
272
281
2914
303
3111
3213
3320
348
3511
366
3710
383
3917
4012
4119
4210
434
446
4512
4612
4710
488
4916
79.89% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5
totalSentences58
uniqueOpeners29
66.67% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences50
matches
0"Then she saw the runner"
ratio0.02
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences50
matches
0"Her voice cut through the"
1"He veered past The Raven’s"
2"Her worn leather watch glinted"
3"She kept ten paces back,"
4"They emerged into the Veil"
5"Her boots sank into grime"
6"His voice scraped like a"
7"Her closely cropped salt-and-pepper hair"
8"His face emerged half-lit by"
9"His accent carried the clipped"
10"He laughed, brittle as broken"
11"Her voice stayed level, but"
12"He backed toward a hidden"
13"She turned her back on"
ratio0.28
30.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount43
totalSentences50
matches
0"Detective Harlow Quinn kept her"
1"The runner ahead wore black"
2"Tonight the clique left fingerprints"
3"Her voice cut through the"
4"The figure didn’t slow."
5"He veered past The Raven’s"
6"Quinn reached the rail."
7"Her worn leather watch glinted"
8"The stairwell stank of corrosion"
9"Water dripped from cracked tiles"
10"Quinn moved with military precision,"
11"The suspect moved fast, coat"
12"Quinn’s brown eyes narrowed."
13"She kept ten paces back,"
14"They emerged into the Veil"
15"The space opened like a"
16"Vendors hawked enchanted goods from"
17"The schedule moved every full"
18"The runner vanished into the"
19"Quinn paused at the threshold."
ratio0.86
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences50
matches(empty)
ratio0
89.95% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount2
matches
0"Vendors hawked enchanted goods from crates—bone charms, bottled thunder, alchemical powders that glowed violet beneath tarps."
1"Stalls pressed close, offering banned alchemical substances in glass vials, information traded in whispers, goods that shimmered with impossible colours."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount2
matches
0"Her voice stayed, but her jaw tightened"
1"Quinn moved, her presence cutting through the smoke"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
75.5978%