Run: 2026-09-03-01M1KRX209WPKS7Z7X35QJDGSQ

Run Details

Duration:
22.3s
Cost:
$0.003562
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 the neon above The Raven's Nest until the green bled into the puddles on Wardour Street. Detective Harlow Quinn stood under the awning with water running off her coat collar onto the leather watch on her left wrist. The watch had stopped at 02:17 three years ago when DS Morris went down, and she still wore it. A door banged inside the bar. She moved. The interior smelled of stale beer and old paper. Maps covered the walls in layers of grime, black-and-white photographs curling at the edges. Behind the bar, the bartender kept his eyes on a glass. "You're not supposed to be in here." Quinn kept her hand near the grip at her hip. "He was." The bartender shrugged. "Tomás left five minutes ago." She had a name, a face, a medallion glinting under streetlight when he ran. Short curly dark brown hair plastered to his forehead, olive skin shining with rain, scar visible along his left forearm as he tucked his sleeve. He had not run like a man who stole. He ran like a man who knew the city. Quinn pushed through the front door into the night. Sirens wailed three streets over. Tomás Herrera cut left toward Greek Street, shoulders hunched against the rain, Saint Christopher medallion catching light each time he turned his head. He moved with paramedic efficiency, knowing which alleys flooded and which stayed dry. She stayed three bodies back. Her boots found the slick edge of a pothole and she corrected without breaking stride. Military precision held her breath even, timed to the thud of his feet. He slipped through a service entrance behind a shuttered curry house. Quinn ducked under the shutter, into a narrow passage reeking of bin rot and damp brick. A phone buzzed once against the wall and went dark. "Stop." No answer. Footsteps climbed metal. She emerged onto a fire escape above Old Compton Street. Rain turned the street into a black river. Tomás was already two floors down, dropping to a landing where a maintenance door hung ajar. He wrenched it open and vanished into Camden. Quinn took the stairs two at a time. The metal rang under her weight. At the bottom she found a stairwell that smelled of iron and earth, a service tunnel that should have been sealed since the sixties. Graffiti covered the walls in chalk and blood. He was ahead, breathing hard now. The medallion swung against his chest. "Tomás." He didn't turn. "Detective Quinn. You lost your partner down here." The words struck. She kept walking. "I lost him because people like you hide things." "People like me patch things up when your lot can't." He reached a concrete wall where a rusted iron door had been set into the brick. The door stood open a crack. Cold air breathed out of it, carrying a smell she didn't recognize, metallic and sweet, like copper and incense. Beyond the door, stairs descended into darkness. Faint light pulsed from below, amber and blue, reflecting off wet stone. Voices rose and fell, indistinct, in languages she didn't know. The sound of a market. The Veil Market. She knew the name from a file that never made it past the desk sergeant. Abandoned Tube station beneath Camden. Moves every full moon. Entry required a bone token. She had never seen one. Tomás stopped at the top step. He turned finally, warm brown eyes fixed on her. Rain ran down his face. "You shouldn't go down there." "Why did you bring me here?" "I didn't." He lifted his left hand. The scar along his forearm caught the light. In his palm rested a small white object, irregular, the size of a thumbnail. A bone token. He pressed it into the wall beside the doorway. A seam of light traced along the concrete as if the stone remembered being cut. The door sighed wider. "They trade in things that don't have names on the forms," he said. "Information, alchemicals, repairs. Off-the-books medical care for people who can't go to hospitals." "For the clique." "For people who need help." Quinn stared at the token in his palm, then at the stairs. Her radio crackled with static, no signal down here. The rain above sounded distant, muffled by earth. "You've been supplying them." "I've been keeping them alive." "That's criminal activity." "That's survival." He stepped back from the threshold as if giving her room to choose. The market breathed below, vendors calling, the shuffle of feet on stone. A bell chimed somewhere deep. Quinn's sharp jaw set. The watch on her left wrist was cold against her skin. Eighteen years of decorated service taught her to follow the evidence, not the fear. Three years of not understanding how Morris died taught her something else. She could radio for backup, seal the tunnel, come back with a warrant and a team. She could leave Tomás to disappear into the dark with whatever the clique had built under Camden. Or she could step down those stairs with a man who had lost his license for treating supernatural patients, into a black market that sold enchanted goods and banned substances, with no legal cover and no way out if it went wrong. The bone token glowed faintly in Tomás's hand, warm against his skin. He didn't offer it again. The stairs waited.
created_at"2026-09-03T13:56:29.328Z" 9/3/2026, 1:56:29 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency153
moderation_latency(null)
generation_time22253
tokens_prompt1104
tokens_completion2816
native_tokens_prompt1005
native_tokens_completion2345
native_tokens_completion_images(null)
native_tokens_reasoning1505
native_tokens_cached992
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)
usage0.00356173
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443789-vvGQukxjOBj6SYI784Ta"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443789-yBMHvAOdkK09SH0rRAKM"
upstream_id"oyoeu9X-7ArivV-a35542137a42c6bb"
provider_responses
0
endpoint_id"e6c588fa-aef0-4e1b-bb7f-78185dd5b6da"
id"oyoeu9X-7ArivV-a35542137a42c6bb"
is_byokfalse
latency130
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Together"
status200
total_cost0.00356173
cache_discount0.00030752
upstream_inference_cost0
provider_name"Together"
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences19
tagDensity0.053
leniency0.105
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount894
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)
72.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount894
totalAiIsms5
found
0
word"glinting"
count1
1
word"footsteps"
count1
2
word"weight"
count1
3
word"pulsed"
count1
4
word"traced"
count1
highlights
0"glinting"
1"footsteps"
2"weight"
3"pulsed"
4"traced"
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
narrationSentences79
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences79
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences97
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
totalWords894
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount792
uniqueNames19
maxNameDensity0.88
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Wardour1
Street3
Harlow1
Quinn7
Morris2
Herrera1
Greek1
Saint1
Christopher1
Old1
Compton1
Camden3
Veil1
Market1
Tube1
Tomás5
Rain3
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Morris"
4"Herrera"
5"Saint"
6"Christopher"
7"Market"
8"Tomás"
9"Rain"
places
0"Wardour"
1"Street"
2"Greek"
3"Old"
4"Compton"
5"Camden"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount1
matches
0"as if giving her room to choose"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount894
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences97
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean20.32
std16.6
cv0.817
sampleLengths
059
18
234
37
412
58
648
79
850
933
1037
111
125
1342
1446
1512
161
1711
1815
1910
2041
2134
223
2334
2420
255
266
272
2830
2928
3026
313
325
3329
344
355
363
372
3830
3941
4033
4142
4217
433
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences79
matches
0"been sealed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs132
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences97
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount794
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.015113350125944584
lyAdverbCount3
lyAdverbRatio0.003778337531486146
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences97
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences97
mean9.22
std6.39
cv0.693
sampleLengths
018
122
219
36
42
59
614
711
87
910
102
113
125
1314
1425
159
169
179
185
1923
2013
215
2215
2313
2411
2516
2610
271
282
293
3010
318
3216
338
348
356
3624
378
386
396
401
413
428
433
443
459
4610
4716
486
4919
60.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.3917525773195876
totalSentences97
uniqueOpeners38
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences76
matches(empty)
ratio0
98.95% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences76
matches
0"She had a name, a"
1"He had not run like"
2"He ran like a man"
3"He moved with paramedic efficiency,"
4"She stayed three bodies back."
5"Her boots found the slick"
6"He slipped through a service"
7"She emerged onto a fire"
8"He wrenched it open and"
9"He was ahead, breathing hard"
10"He didn't turn."
11"She kept walking."
12"He reached a concrete wall"
13"She knew the name from"
14"She had never seen one."
15"He turned finally, warm brown"
16"He lifted his left hand."
17"He pressed it into the"
18"Her radio crackled with static,"
19"He stepped back from the"
ratio0.303
52.11% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences76
matches
0"Detective Harlow Quinn stood under"
1"The watch had stopped at"
2"A door banged inside the"
3"The interior smelled of stale"
4"Maps covered the walls in"
5"Quinn kept her hand near"
6"The bartender shrugged."
7"She had a name, a"
8"He had not run like"
9"He ran like a man"
10"Quinn pushed through the front"
11"Tomás Herrera cut left toward"
12"He moved with paramedic efficiency,"
13"She stayed three bodies back."
14"Her boots found the slick"
15"Military precision held her breath"
16"He slipped through a service"
17"Quinn ducked under the shutter,"
18"A phone buzzed once against"
19"Footsteps climbed metal."
ratio0.816
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences76
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount1
matches
0"Or she could step down those stairs with a man who had lost his license for treating supernatural patients, into a black market that sold enchanted goods and ba…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences19
tagDensity0.053
leniency0.105
rawRatio0
effectiveRatio0
89.4409%