Run: 2026-09-01-01M1EM1VKNGD23XRNS3ZQ2DRAN

Run Details

Duration:
37.5s
Cost:
$0.004609
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 drilled into the collar of Tomás Herrera’s coat. He burst through the green neon glow of The Raven’s Nest, the letters bleeding red into the Soho puddles. Behind the bar, old maps curled like dead skin on the walls, and a bookshelf swung open, clicking shut. Detective Harlow Quinn had watched him leave that hidden back room. She had waited in the alley, her worn leather watch ticking against her left wrist, her closely cropped salt-and-pepper hair plastered flat against her skull. “You don’t belong down there,” Tomás gasped. Quinn stepped into the downpour, her sharp jaw cutting a line through her face. Militant precision carried her forward, boots splashing against the wet pavement. “Your saint doesn’t cover the clique.” Tomás glanced back. Warm brown eyes caught the neon. His short curly dark brown hair whipped against his forehead, and the scar running along his left forearm glowed pale in the streetlight. The Saint Christopher medallion banged against his olive skin. “You follow a man into the dark because of a dead partner?” Quinn did not slow. The rain slashed the narrow streets between Soho and Camden, a cold knife that turned breath to steam. “DS Morris didn’t die in a traffic accident, Herrera. You know that.” Tomás’s lips twisted. He knew about the supernatural origins that had swallowed Morris three years ago, the same origins that had cost Tomás his NHS license after he administered unauthorized treatments to patients who bled wrong. “You have no warrant.” “I have the reason.” They turned onto a street where the lights flickered. Old photographs and black-and-white images of London hung in the windows of shuttered shops, ghosts of another age. Tomás sprinted past the entrance to a derelict theatre, his breath ragged, his olive skin slick with rain. Quinn matched him step for step, her brown eyes unblinking, her military bearing holding her spine like an iron rod. Tomás cut left, then right, weaving through crowds that dissolved into the night. Rain soaked through his coat. His medallion clung to his chest. “You think I’m your perpetrator?” “You’re the medical link.” The alley narrowed. Graffiti sprawled across brick in colors that seemed to shift when glanced at sideways. Tomás reached the mouth of the tunnel that led beneath Camden, a rusted stairwell descending into the dark. Quinn followed, her boots striking stone, her watch face dim and unreadable against the gloom. Tomás pulled a bone token from his pocket, a small white fragment worn smooth by touch. He slipped it into the rusted slot beside the gate. The mechanism groaned, and the door opened with a sound like a bone cracking. “The Veil Market,” Quinn said. “You forgot that moves every full moon.” Tomás glanced over his shoulder, rain dripping from his hair. “It’s here tonight.” Quinn stepped into the stairwell. The air changed immediately, thick with the smell of ozone and copper, of alchemical substances and old money. The abandoned Tube station beneath Camden stretched before them, a cathedral of cracked tile and rusted rails. Vendors lined the platform shadow, their stalls lit by green and violet lamps that cast sickly veins across the walls. Enchanted goods sat behind glass and cloth: potions that glowed like infected wounds, talismans carved from teeth, banned alchemical substances that turned the air bitter. Tomás disappeared into the crowd, his short curly hair bobbing as he moved with the practiced ease of a man who had treated the clique’s wounds in this very place. Quinn watched him vanish between stalls that sold information as freely as they sold curse and cure. She paused at the threshold, her sharp jaw tightening. The market was unfamiliar, dangerous, a realm where Metropolitan Police badges meant nothing and supernatural rules governed survival. Her partner’s death haunted the walls here; she could feel the residue of it in the flickering light and the hush that fell over vendors when they spotted her. A vendor with eyes like broken glass called out from a stall of bone tokens. “No coppers in the dark, detective.” Quinn didn’t answer. She watched Tomás reach a hidden alcove where a man sat on the ground, his face pale, his arm bleeding from a knife wound that mirrored the scar on Tomás’s forearm. Tomás knelt beside him, pulling supplies from his coat, working with the quick precision of a former paramedic who had lost his license because he refused to let the supernatural suffer in plain sight. Tomás spoke without looking up. “Your partner came here, Quinn. Before he died. He tried to buy information on the clique.” Quinn stepped forward, boots echoing against the cracked tile. The market watched her with silent, hungry eyes. She had followed Tomás through rain-soaked streets for hours, her military bearing carrying her into territory where eighteen years of decorated service meant nothing against the dark. She had the choice to turn back, to call for backup that would never arrive, to let the suspect slip into the underground and take the mystery of Morris’s death with him. Tomás looked up, warm brown eyes meeting hers across the distance of the alcove. “You want to know what killed him? It’s not in your files. It’s in here.” Quinn’s leather watch caught the violet light. She moved into the market, not with a gun drawn, but with the certainty of a woman who had nothing left to lose but the truth. The bone token clicked in Tomás’s hand. The market moved around them, ancient and hungry, and the chase descended into the dark.
created_at"2026-09-01T13:55:31.581Z" 9/1/2026, 1:55:31 PM
model"thinkingmachines/inkling-small-20260730"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency183
moderation_latency(null)
generation_time37358
tokens_prompt1104
tokens_completion4231
native_tokens_prompt991
native_tokens_completion3544
native_tokens_completion_images(null)
native_tokens_reasoning2796
native_tokens_cached256
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)
usage0.00460915
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788270931-JOyqjVm8gs6uEMo8meZ5"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788270931-hfqfdOaW4Jy2PhPHBG4t"
upstream_id"chatcmpl-Rlq0rGeo82MsYwrLCdkzOQxi"
provider_responses
0
endpoint_id"d1d9657b-3c3a-49b5-8f81-33204e7c71c3"
id"chatcmpl-Rlq0rGeo82MsYwrLCdkzOQxi"
is_byokfalse
latency75
model_permaslug"thinkingmachines/inkling-small-20260730"
provider_name"DeepInfra"
status200
total_cost0.00460915
cache_discount0.0000896
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences14
tagDensity0.143
leniency0.286
rawRatio0
effectiveRatio0
94.58% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount923
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
67.50% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount923
totalAiIsms6
found
0
word"flickered"
count1
1
word"unreadable"
count1
2
word"gloom"
count1
3
word"practiced ease"
count1
4
word"could feel"
count1
5
word"echoing"
count1
highlights
0"flickered"
1"unreadable"
2"gloom"
3"practiced ease"
4"could feel"
5"echoing"
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
narrationSentences56
matches(empty)
40.82% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences56
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)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords923
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
40.38% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions46
wordCount821
uniqueNames15
maxNameDensity2.19
worstName"Tomás"
maxWindowNameDensity3.5
worstWindowName"Tomás"
discoveredNames
Tomás18
Herrera1
Raven1
Nest1
Soho2
Harlow1
Quinn11
Saint1
Christopher1
Camden3
Morris2
London1
Tube1
Metropolitan1
Police1
persons
0"Tomás"
1"Herrera"
2"Raven"
3"Harlow"
4"Quinn"
5"Saint"
6"Christopher"
7"Camden"
8"Morris"
places
0"Soho"
1"London"
globalScore0.404
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount0
matches(empty)
91.66% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.083
wordCount923
matches
0"not with a gun drawn, but with the certainty of a woman who had nothing left to lose b"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences68
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean40.13
std24.36
cv0.607
sampleLengths
083
17
231
353
434
540
64
765
829
94
1050
1140
1212
1313
1485
1547
1656
1721
1868
1921
2076
2129
2255
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences56
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs142
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences68
ratio0.015
matches
0"Her partner’s death haunted the walls here; she could feel the residue of it in the flickering light and the hush that fell over vendors when they spotted her."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount826
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.015738498789346248
lyAdverbCount6
lyAdverbRatio0.007263922518159807
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean13.57
std8.41
cv0.62
sampleLengths
09
119
219
311
425
57
614
711
86
93
106
1123
129
1312
144
1518
1612
173
1833
194
204
219
2218
2318
2420
2513
265
276
285
294
303
3114
3218
3315
3416
3510
3614
375
387
3910
403
415
4218
4317
4420
4525
4630
4717
489
4918
50.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.35294117647058826
totalSentences68
uniqueOpeners24
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences54
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences54
matches
0"He burst through the green"
1"She had waited in the"
2"His short curly dark brown"
3"He knew about the supernatural"
4"They turned onto a street"
5"His medallion clung to his"
6"He slipped it into the"
7"She paused at the threshold,"
8"Her partner’s death haunted the"
9"She watched Tomás reach a"
10"She had followed Tomás through"
11"She had the choice to"
12"She moved into the market,"
ratio0.241
6.30% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences54
matches
0"Rain drilled into the collar"
1"He burst through the green"
2"Detective Harlow Quinn had watched"
3"She had waited in the"
4"Quinn stepped into the downpour,"
5"Militant precision carried her forward,"
6"Tomás glanced back."
7"His short curly dark brown"
8"The Saint Christopher medallion banged"
9"Quinn did not slow."
10"The rain slashed the narrow"
11"Tomás’s lips twisted."
12"He knew about the supernatural"
13"They turned onto a street"
14"Tomás sprinted past the entrance"
15"Quinn matched him step for"
16"Tomás cut left, then right,"
17"His medallion clung to his"
18"The alley narrowed."
19"Graffiti sprawled across brick in"
ratio0.907
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences54
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount8
matches
0"He knew about the supernatural origins that had swallowed Morris three years ago, the same origins that had cost Tomás his NHS license after he administered una…"
1"Quinn matched him step for step, her brown eyes unblinking, her military bearing holding her spine like an iron rod."
2"Tomás reached the mouth of the tunnel that led beneath Camden, a rusted stairwell descending into the dark."
3"Vendors lined the platform shadow, their stalls lit by green and violet lamps that cast sickly veins across the walls."
4"Enchanted goods sat behind glass and cloth: potions that glowed like infected wounds, talismans carved from teeth, banned alchemical substances that turned the …"
5"Tomás disappeared into the crowd, his short curly hair bobbing as he moved with the practiced ease of a man who had treated the clique’s wounds in this very pla…"
6"She watched Tomás reach a hidden alcove where a man sat on the ground, his face pale, his arm bleeding from a knife wound that mirrored the scar on Tomás’s fore…"
7"Tomás knelt beside him, pulling supplies from his coat, working with the quick precision of a former paramedic who had lost his license because he refused to le…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
78.57% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"Tomás gasped (gasp)"
dialogueSentences14
tagDensity0.143
leniency0.286
rawRatio0.5
effectiveRatio0.143
78.9933%