Run: 2026-07-25-01KYCWW84GAZCAZW0D4G5T26ZD

Run Details

Duration:
48.8s
Cost:
$0.016763
Provider:
Together

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 sheared through Soho like broken glass, slicing the dark into silver ribbons that pooled in the gutters and bled across the asphalt. Harlow Quinn kept her shoulders low, her boots slapping wet pavement in a rhythm that matched her heartbeat—steady, hard, unyielding. Her closely cropped salt-and-pepper hair clung to her scalp, darkened to gunmetal under the streetlamps. The sharp line of her jaw clenched against the cold, her brown eyes tracking every splash, every flicker of movement ahead. Eighteen years of decorated service lived in the military precision of her stride, and still, three years since DS Morris had vanished into something she still couldn't name, she chased ghosts through London. The runner wore a heavy black coat that swallowed the neon glow. He didn't look back. "Police!" The word tore from Quinn's throat, raw and sharp. The figure didn't break stride. He cut left, past the green neon sign of The Raven's Nest, that distinctive emerald glare bleeding into the puddles like spilled ink. Quinn knew the bar. She knew the clique gathered behind those walls covered with old maps and black-and-white photographs, behind the bookshelf that masked a hidden back room used for clandestine meetings she had yet to crack open. The runner didn't enter. He bolted north, toward Camden, rain plastering his hood to his skull, his boots skidding on the slick cobblestones. Quinn's worn leather watch dug into her left wrist as she pumped her arms. She didn't call out again. She saved her breath. The street narrowed. Trash cans clattered in an alley. The runner vaulted a low fence, his coat flaring like a broken wing. Quinn followed. Her lungs burned clean, her legs driving with the same discipline that had earned her the badge she now carried in her mind more than her pocket. The abandoned Tube station beneath Camden gaped like a rotten tooth in the earth. Rusted grates barred an entrance that should have been sealed for decades. The runner reached into his coat, produced something small and yellowed—bone. He pressed it against the metal with a click that echoed through the damp air. A section of brick slid open with the groan of old machinery, revealing a descent into darkness. Quinn slowed to a jog. The air rising from the gap carried iron, candle wax, and the sharp stink of banned alchemical substances. The Veil Market. She had heard whispers in interrogation rooms, fragments from suspects who spoke of a hidden supernatural black market that sold enchanted goods and moved locations every full moon. The runner disappeared inside. She stood at the threshold. Rainwater streamed from her collar, soaked through her jacket, cold against her skin. Inside, darkness fractured into lantern light. Stalls lined the tunnel like ribs, vendors hawking information in hushed tones. A woman in crimson velvet examined a jar filled with glowing liquid that pulsed like a second heart. Quinn's boots echoed against the old platform tiles. The smell of iron and incense thickened. Then she saw him. Tomás Herrera crouched beside a makeshift cot near a stall draped in black silk. His olive skin looked pale under the harsh bulbs. His short curly dark brown hair hung damp against his forehead. The Saint Christopher medallion around his neck caught the lantern glow, swinging gently. His left forearm bore the old knife scar, visible where his sleeve rolled back as he pressed stained gauze against a stranger's chest with practiced hands. He looked up. Warm brown eyes locked on hers. "You followed him into the Market," Tomás said, rising. He wiped his hands on a cloth that came away darker. Quinn stepped closer, water dripping from her chin. "I'm Metropolitan Police. That man killed two people." "He carries a bone token." Tomás moved to block the tunnel ahead, his bearing calm, his scarred arm tense. "You carry nothing." "I carry a badge." "Down here, badges burn poorly." He glanced toward the deeper corridor where the suspect's coat had vanished. "Every full moon this place shifts. You entered without invitation. Without protection." Quinn's hand hovered near her hip, empty. Her partner's absence hummed in her skull—DS Morris had walked into darkness without understanding it, and the darkness had kept him. She wouldn't repeat that ignorance blindly, but she wouldn't retreat either. "Where did he go?" Quinn asked. Tomás pointed past the stalls, into a tunnel where the light died completely. "The deeper corridor. But the Market doesn't forgive trespassers, Detective. You need a token to leave intact." Quinn looked at the black mouth of the passage. The suspect's footprints had vanished into it. Her sharp jaw hardened. She stepped past Tomás. Her voice stayed level, stripped of doubt. "I'll find my own way out." Then she walked into the dark.
created_at"2026-07-25T15:04:10.649Z" 7/25/2026, 3:04:10 PM
model"thinkingmachines/inkling-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency309
moderation_latency(null)
generation_time48563
tokens_prompt1104
tokens_completion4651
native_tokens_prompt992
native_tokens_completion3894
native_tokens_completion_images(null)
native_tokens_reasoning2890
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)
usage0.0167627
router(null)
provider_responses
0
endpoint_id"9911deb9-f44e-4e18-87fe-9d7b60acee72"
id"otYcp6A-6z2FuN-a20c0e3b1ccc6abb"
is_byokfalse
latency293
model_permaslug"thinkingmachines/inkling-20260715"
provider_name"Together"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784991850-eLQN5acprJwrjNCh8cX8"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784991850-pnlx29IPBwhCvcflOppu"
upstream_id"otYcp6A-6z2FuN-a20c0e3b1ccc6abb"
total_cost0.0167627
cache_discount(null)
upstream_inference_cost0
provider_name"Together"
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
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences11
tagDensity0.455
leniency0.909
rawRatio0
effectiveRatio0
87.42% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount795
totalAiIsmAdverbs2
found
0
adverb"gently"
count1
1
adverb"completely"
count1
highlights
0"gently"
1"completely"
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)
43.40% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount795
totalAiIsms9
found
0
word"jaw clenched"
count1
1
word"flicker"
count1
2
word"clandestine"
count1
3
word"echoed"
count2
4
word"fractured"
count1
5
word"velvet"
count1
6
word"pulsed"
count1
7
word"silk"
count1
highlights
0"jaw clenched"
1"flicker"
2"clandestine"
3"echoed"
4"fractured"
5"velvet"
6"pulsed"
7"silk"
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
narrationSentences63
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences63
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences69
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords792
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
73.72% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount721
uniqueNames14
maxNameDensity1.53
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Quinn11
Morris2
London1
Raven1
Nest1
Camden2
Tube1
Veil1
Market1
Herrera1
Saint1
Christopher1
Tomás5
persons
0"Quinn"
1"Morris"
2"Raven"
3"Camden"
4"Herrera"
5"Saint"
6"Christopher"
7"Tomás"
places
0"Soho"
1"London"
globalScore0.737
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount792
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences69
matches
0"repeat that ignorance"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean33
std30.08
cv0.911
sampleLengths
0112
116
210
389
474
569
658
718
851
94
1073
119
1220
1316
1422
154
1629
1739
186
1930
2020
214
2213
236
99.69% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences63
matches
0"been sealed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs128
matches(empty)
18.63% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences69
ratio0.043
matches
0"Harlow Quinn kept her shoulders low, her boots slapping wet pavement in a rhythm that matched her heartbeat—steady, hard, unyielding."
1"The runner reached into his coat, produced something small and yellowed—bone."
2"Her partner's absence hummed in her skull—DS Morris had walked into darkness without understanding it, and the darkness had kept him."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount728
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.020604395604395604
lyAdverbCount5
lyAdverbRatio0.006868131868131868
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences69
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences69
mean11.48
std7.54
cv0.657
sampleLengths
023
120
215
321
433
512
64
710
85
923
104
1134
124
1319
1414
155
164
173
186
1913
202
2127
2214
2312
2411
2515
2617
275
2818
293
3028
314
325
3313
346
3512
3618
378
387
394
4014
419
4211
4313
4426
453
466
479
4811
498
53.62% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.34782608695652173
totalSentences69
uniqueOpeners24
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences61
matches
0"Then she saw him."
1"Then she walked into the"
ratio0.033
75.74% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences61
matches
0"Her closely cropped salt-and-pepper hair"
1"He didn't look back."
2"He cut left, past the"
3"She knew the clique gathered"
4"He bolted north, toward Camden,"
5"She didn't call out again."
6"She saved her breath."
7"Her lungs burned clean, her"
8"He pressed it against the"
9"She had heard whispers in"
10"She stood at the threshold."
11"His olive skin looked pale"
12"His short curly dark brown"
13"His left forearm bore the"
14"He looked up."
15"He wiped his hands on"
16"He glanced toward the deeper"
17"Her partner's absence hummed in"
18"She wouldn't repeat that ignorance"
19"Her sharp jaw hardened."
ratio0.361
9.18% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences61
matches
0"Rain sheared through Soho like"
1"Harlow Quinn kept her shoulders"
2"Her closely cropped salt-and-pepper hair"
3"The sharp line of her"
4"The runner wore a heavy"
5"He didn't look back."
6"The word tore from Quinn's"
7"The figure didn't break stride."
8"He cut left, past the"
9"Quinn knew the bar."
10"She knew the clique gathered"
11"The runner didn't enter."
12"He bolted north, toward Camden,"
13"Quinn's worn leather watch dug"
14"She didn't call out again."
15"She saved her breath."
16"The street narrowed."
17"Trash cans clattered in an"
18"The runner vaulted a low"
19"Her lungs burned clean, her"
ratio0.902
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
23.81% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount5
matches
0"Harlow Quinn kept her shoulders low, her boots slapping wet pavement in a rhythm that matched her heartbeat—steady, hard, unyielding."
1"She knew the clique gathered behind those walls covered with old maps and black-and-white photographs, behind the bookshelf that masked a hidden back room used …"
2"He bolted north, toward Camden, rain plastering his hood to his skull, his boots skidding on the slick cobblestones."
3"Her lungs burned clean, her legs driving with the same discipline that had earned her the badge she now carried in her mind more than her pocket."
4"She had heard whispers in interrogation rooms, fragments from suspects who spoke of a hidden supernatural black market that sold enchanted goods and moved locat…"
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount1
matches
0"Tomás moved, his bearing calm, his scarred arm tense"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences11
tagDensity0.182
leniency0.364
rawRatio0
effectiveRatio0
80.3404%