Run: 2026-07-25-01KYCXKBRM9JX49S9Y7PWEES90

Run Details

Duration:
1m 18s
Cost:
$0.025090
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 hammered Camden like a punishment. Harlow Quinn sprinted through the deluge, her closely cropped salt-and-pepper hair plastered flat against her skull, her sharp jaw locked against the dark. The worn leather watch on her left wrist ticked beneath her soaked sleeve, a stubborn heartbeat against the chaos. She moved with military precision, boots slicing through black puddles that swallowed the streetlights whole. The suspect ran ten yards ahead. Black coat. Hood up. No face. "Police!" Harlow's voice cut the storm. "Stop now!" He never turned. He never slowed. She chased him past the green neon of The Raven's Nest, the sign bleeding emerald across the wet pavement. Old maps and black-and-white photographs watched from behind glass—frozen sailors, lost streets, dead cartographers. Harlow knew the bar's secret room hid behind a bookshelf in the back; she had traced that door three months ago, found nothing but smoke and lies and the smell of cheap gin. Tonight, the lies ran faster than she did. Her breath came in sharp pulls. Her brown eyes tracked every splash of the runner's boots against the slick stones. Three years since DS Morris died in an alley like this. Unexplained. Supernatural. The word sat in her chest like a stone she refused to name aloud. She had promised that death meant something. She pursued it now with every soaked step, every burning muscle. The runner veered left, into an alley that smelled of rust, fried onions, and old blood. Harlow followed. Her legs burned. Her heart hammered—fresh and wild, a machine rebuilt for this exact hunt. The alley narrowed. Brick walls pressed close, damp with moss. Then the runner reached the abandoned Tube station beneath Camden. Stairs descended into absolute black. Harlow slowed at the top rail. Rain dripped from her chin onto her collar. She tasted iron. The suspect pulled something from his coat. A bone token—pale, carved, wrong. He pressed it to the brick. The wall groaned. A hidden entrance yawned open, breathing myrrh and ozone. The Veil Market. She knew the name from whispers, from files that disappeared before she could copy them. A hidden black market beneath the city. Enchanted goods. Banned alchemical substances. Information sold in hushed voices. It moved every full moon; tonight the moon hid behind the rain, but the market remained, anchored in darkness. The runner slipped inside. The entrance sealed behind him with a sound like teeth clicking. Harlow stood alone at the threshold of unfamiliar territory. Dangerous. Unmapped. She stepped down. The abandoned station breathed in lantern light. Figures in cloaks moved between stalls piled with glowing jars, black powders, and objects that hummed at frequencies that made her molars ache. The air tasted of copper and incense and something sweet that burned the back of her throat. This was not her jurisdiction. This was not the world she had sworn to protect. Then she saw Tomás Herrera. He leaned against a cracked pillar, olive skin drawn tight in the unnatural glow. The scar running along his left forearm looked white against his dark sleeve. His Saint Christopher medallion caught the lantern light, swinging as he pushed off the stone. His short curly dark brown hair clung damp to his forehead. "Quinn." His warm brown eyes held no surprise, only gravity. "You followed him straight into the dark." "I followed a criminal." Harlow kept her voice low, sharp, carrying over the murmur of the crowd. "You followed something you don't understand." Tomás stepped closer. His height—five foot ten—matched her nearly eye to eye. "This market moves with the moon. Tonight it's here. Tomorrow, buried under new dirt. You don't carry a bone token. You don't have protection. Your badge—" he gestured to her soaked coat— "means nothing here. I lost my license treating things like you chase. I know the cost of walking in blind." "I have evidence." "You have suspicion." "You have a death wish." Tomás glanced past her. The suspect—her suspect—had vanished into a crowd of buyers trading banned alchemy in silk pouches. "Turn back, Detective. Go up to the rain. Go back to your maps and your photographs." Harlow looked past him. The market stretched into tunnels she could not name, filled with dangers she had not trained for. Her leather watch ticked loud in the silence. The smell of forbidden substances stung her nose. Her sharp jaw tightened. She stepped past Tomás. Her boots echoed on the tile. "I'll find him," she said. She moved into the dark.
created_at"2026-07-25T15:16:48.118Z" 7/25/2026, 3:16:48 PM
model"thinkingmachines/inkling-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency162
moderation_latency(null)
generation_time78014
tokens_prompt1104
tokens_completion6926
native_tokens_prompt992
native_tokens_completion5950
native_tokens_completion_images(null)
native_tokens_reasoning4981
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)
usage0.0250895
router(null)
provider_responses
0
endpoint_id"9911deb9-f44e-4e18-87fe-9d7b60acee72"
id"otYghHN-6z2FuN-a20c20b8fe3b83b0"
is_byokfalse
latency154
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-1784992608-AFznta61OmepRHpHMI0z"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784992608-K4yKlAyWyYNx4LCrxnQV"
upstream_id"otYghHN-6z2FuN-a20c20b8fe3b83b0"
total_cost0.0250895
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences12
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount754
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)
73.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount754
totalAiIsms4
found
0
word"traced"
count1
1
word"silk"
count1
2
word"silence"
count1
3
word"echoed"
count1
highlights
0"traced"
1"silk"
2"silence"
3"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
narrationSentences78
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences78
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences88
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords747
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
88.46% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount650
uniqueNames13
maxNameDensity1.23
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Tomás"
discoveredNames
Camden2
Quinn1
Raven1
Nest1
Morris1
Tube1
Veil1
Market1
Tomás4
Herrera1
Saint1
Christopher1
Harlow8
persons
0"Camden"
1"Quinn"
2"Raven"
3"Morris"
4"Market"
5"Tomás"
6"Herrera"
7"Saint"
8"Christopher"
9"Harlow"
places(empty)
globalScore0.885
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount747
matches(empty)
90.91% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences88
matches
0"traced that door"
1"promised that death"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs39
mean19.15
std20.32
cv1.061
sampleLengths
063
16
26
31
47
56
674
720
845
916
102
1140
1217
1330
143
1551
1615
1711
183
1962
205
2153
221
239
247
254
2613
276
2812
2952
303
313
325
3319
3416
3541
3610
375
385
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences78
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs122
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount2
flaggedSentences7
totalSentences88
ratio0.08
matches
0"Old maps and black-and-white photographs watched from behind glass—frozen sailors, lost streets, dead cartographers."
1"Harlow knew the bar's secret room hid behind a bookshelf in the back; she had traced that door three months ago, found nothing but smoke and lies and the smell of cheap gin."
2"Her heart hammered—fresh and wild, a machine rebuilt for this exact hunt."
3"A bone token—pale, carved, wrong."
4"It moved every full moon; tonight the moon hid behind the rain, but the market remained, anchored in darkness."
5"His height—five foot ten—matched her nearly eye to eye."
6"The suspect—her suspect—had vanished into a crowd of buyers trading banned alchemy in silk pouches."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount661
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.01361573373676248
lyAdverbCount4
lyAdverbRatio0.006051437216338881
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences88
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences88
mean8.49
std7.63
cv0.898
sampleLengths
06
123
219
315
46
52
62
72
81
95
102
113
123
1319
1414
1533
168
176
1814
1911
201
211
2214
237
2411
2516
262
273
2812
293
307
3110
325
336
348
353
367
375
386
393
409
413
4215
437
442
453
465
4719
484
4911
55.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.38636363636363635
totalSentences88
uniqueOpeners34
98.04% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences68
matches
0"Then the runner reached the"
1"Then she saw Tomás Herrera."
ratio0.029
67.06% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences68
matches
0"She moved with military precision,"
1"He never turned."
2"He never slowed."
3"She chased him past the"
4"Her breath came in sharp"
5"Her brown eyes tracked every"
6"She had promised that death"
7"She pursued it now with"
8"Her legs burned."
9"Her heart hammered—fresh and wild,"
10"She tasted iron."
11"He pressed it to the"
12"She knew the name from"
13"It moved every full moon;"
14"She stepped down."
15"He leaned against a cracked"
16"His Saint Christopher medallion caught"
17"His short curly dark brown"
18"His warm brown eyes held"
19"His height—five foot ten—matched her"
ratio0.382
4.12% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences68
matches
0"Harlow Quinn sprinted through the"
1"The worn leather watch on"
2"She moved with military precision,"
3"The suspect ran ten yards"
4"Harlow's voice cut the storm."
5"He never turned."
6"He never slowed."
7"She chased him past the"
8"Harlow knew the bar's secret"
9"Tonight, the lies ran faster"
10"Her breath came in sharp"
11"Her brown eyes tracked every"
12"The word sat in her"
13"She had promised that death"
14"She pursued it now with"
15"The runner veered left, into"
16"Her legs burned."
17"Her heart hammered—fresh and wild,"
18"The alley narrowed."
19"Brick walls pressed close, damp"
ratio0.912
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences68
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount1
matches
0"She moved with military precision, boots slicing through black puddles that swallowed the streetlights whole."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences12
tagDensity0.083
leniency0.167
rawRatio0
effectiveRatio0
85.9121%