Run: 2026-02-19-01KHTYFB0WK7DTXCTH9KVKR3MJ

Run Details

Duration:
38.1s
Cost:
$0.001594
Provider:
Novita

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 pavement of Soho, turning the cobblestones into slick, black ribbons that reflected the city’s dying neon. Harlow Quinn spat a mouthful of street grime, the taste of copper sharp on her tongue. Her lungs burned, a harsh reminder that forty-one years of desk work and paperwork hadn't fully prepared her for a nocturnal footrace through the mud. She slowed her stride, adjusting the grip on her service weapon. The rain plastered her salt-and-pepper hair to her forehead, dripping down the sharp line of her jaw. She checked her left wrist. The worn leather strap of her watch was soaked, but the time was ticking. Morris had been gone three years. Three years since they’d found the wreckage of that unmarked car at the edge of the Severn Bore, or what was left of it. No body. No explanation. Just a trace of sulfur and rainwater. She caught sight of him ahead. Tomás Herrera moved through the crowd like he was part of the shadows themselves. His dark curls were plastered to his head, showing off the olive skin of his face, but he didn't look winded. That made her blood boil. "Tomás, keep your hands where I can see them!" He didn't stop. He slipped between two pedestrians, a broad-shouldered figure that seemed to occupy more space than the lane he was taking. Quinn broke into a sprint, her boots skidding on the wet asphalt. She vaulted a retaining barrier near a bakery, the iron edge biting into her thigh. The target was turning the corner onto Chamberlayne Road, heading toward the north side of town, away from the bustle of the city center and toward the decaying ruins of the industrial district. Herrera glanced over his shoulder, his warm brown eyes locking onto hers for a split second before he ducked under a lowered awning. He didn't run anymore. He moved with a predatory precision, sliding through the maze of warehouses and back alleys that led out of the city proper. It took Quinn twenty minutes to close the gap. The cold seeped through her uniform, settling into her bones. She skidded to a halt at the edge of a jagged drop-off overlooking an excavation site. Down below, an old Tube station vented steam, the iron framework glowing faintly red in the distance. Herrera stood at the precipice, facing the gaping maw of the station entrance. It was a gaping wound in the earth, dry and smelling of dust and ozone. "Not here," Herrera said. Quinn stepped up behind him, her weapon drawn. "I'm not leaving until you tell me why you were meeting the men from the docks." "The docks are irrelevant." He turned slowly, placing his hands out flat against the railing. "You're chasing ghosts, Quinn. You want the truth about what happened to your partner, you need to stop chasing shadows and come inside." "Inside where?" "The Veil Market." Herrera’s voice dropped, barely audible over the rising gale. "I know you’ve heard the whispers. I know you’ve seen the files they redact." "I’m a cop. I follow procedure." "Procedures don't stop things that don't play by the rules." Quinn hesitated. Her finger hovered over the trigger. Down there, beneath the city streets, where the gaslights wouldn't reach, was the territory of the unexplained. It was dangerous. It was unauthorized. It was everything she had dedicated her career to destroying. "You're leading me into a trap." "I'm leading you to a truth." Herrera unbuttoned his jacket, revealing the heavy leather cross hanging from his neck, the Saint Christopher medallion catching a stray beam of lightning. "If you walk away, you'll never know if Morris died of a bullet or a spell. You’ll go to your grave wondering." Quinn’s jaw tightened. The thought of it—the endless questions, the suicide notes, the creeping realization that everything she believed in was a lie—weighed heavier than the lead in her gun. She took a step forward. "You have a bone token?" she asked, nodding toward the dark tunnel. Herrera fished into his pocket, extracting a small, jagged shard of white bone. He held it out to her. "You need this to get in. I don't have the clearance to bypass the wards." "You shouldn't be helping me, Herrera." "Nobody's helping you. I'm just making sure the detective finds the answers before the men who hired her do." He stepped aside, sweeping his arm toward the darkness. The wind howled through the station entrance, a lonely, mournful sound. Qu Quinn stared into the abyss. The rain slashed at her face, blurring the line between the dark, damp concrete and the night sky above. If she went down there, she wasn't just risking her badge. She was risking her sanity. She looked at the bone token, then at Herrera’s steady gaze. There was no turning back now. The hunt for DS Morris had led her to the edge of the known world, and down here, in the underground, the rules of humanity didn't apply. "Make it fast," she said, extending her hand. Herrera didn't hesitate. He slipped the token into her palm. As his fingers brushed hers, he pulled the iron door forward with a groan of rusty metal. The world of Soho, the rain, and the neon lights faded as the heavy steel slab slammed shut, sealing them into the darkness below.
created_at"2026-02-19T12:37:23.107Z" 2/19/2026, 12:37:23 PM
model"z-ai/glm-4.7-flash-20260119"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency621
moderation_latency(null)
generation_time37378
tokens_prompt1140
tokens_completion4232
native_tokens_prompt990
native_tokens_completion3812
native_tokens_completion_images(null)
native_tokens_reasoning2884
native_tokens_cached2
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00159398
router(null)
provider_responses
0
endpoint_id"6999081f-9017-4517-bbdb-47df8778c940"
id"4b87efa9bc6f96ca7d2623ec57bed73f"
is_byokfalse
latency621
model_permaslug"z-ai/glm-4.7-flash-20260119"
provider_name"Novita"
status200
api_type"completions"
id"gen-1771504643-RQHau3lY5Mv9N7XHb8wC"
upstream_id"4b87efa9bc6f96ca7d2623ec57bed73f"
total_cost0.00159398
cache_discount1.2e-7
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount2
adverbTags
0"He turned slowly [slowly]"
1"Herrera’s voice dropped barely [barely]"
dialogueSentences18
tagDensity0.333
leniency0.667
rawRatio0.333
effectiveRatio0.222
94.44% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount900
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
77.78% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount900
totalAiIsms4
found
0
word"reminder"
count1
1
word"framework"
count1
2
word"maw"
count1
3
word"grave"
count1
highlights
0"reminder"
1"framework"
2"maw"
3"grave"
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
narrationSentences61
matches(empty)
96.02% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences61
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)
analyzedSentences73
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords893
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount722
uniqueNames11
maxNameDensity1.25
worstName"Herrera"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
Soho2
Quinn7
Severn1
Bore1
Herrera9
Chamberlayne1
Road1
Tube1
Saint1
Christopher1
Morris2
persons
0"Quinn"
1"Herrera"
2"Saint"
3"Christopher"
4"Morris"
places
0"Soho"
1"Chamberlayne"
2"Road"
globalScore0.877
windowScore0.833
95.65% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount1
matches
0"figure that seemed to occupy more space than the lane he was taking"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount893
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences73
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs32
mean27.91
std20.96
cv0.751
sampleLengths
060
188
26
340
49
523
660
749
852
928
104
1124
1238
132
1426
156
1610
1741
186
1951
2030
215
2212
2319
2415
256
2619
2720
2841
2944
308
3151
93.76% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences61
matches
0"been gone"
1"were plastered"
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs109
matches
0"was ticking"
1"was taking"
2"was turning"
3"was risking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences73
ratio0.014
matches
0"The thought of it—the endless questions, the suicide notes, the creeping realization that everything she believed in was a lie—weighed heavier than the lead in her gun."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount729
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.019204389574759947
lyAdverbCount6
lyAdverbRatio0.00823045267489712
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences73
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences73
mean12.23
std7.53
cv0.616
sampleLengths
019
116
225
311
417
55
614
76
824
92
102
117
126
1314
1421
155
169
173
1820
1912
2015
2133
2223
234
2422
259
2610
2716
2817
2913
3015
314
328
3316
3415
3523
362
3712
3814
396
4010
412
426
4317
443
453
4610
476
4829
4922
52.97% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.3835616438356164
totalSentences73
uniqueOpeners28
58.48% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences57
matches
0"Just a trace of sulfur"
ratio0.018
37.54% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount26
totalSentences57
matches
0"Her lungs burned, a harsh"
1"She slowed her stride, adjusting"
2"She checked her left wrist."
3"She caught sight of him"
4"His dark curls were plastered"
5"He didn't stop."
6"He slipped between two pedestrians,"
7"She vaulted a retaining barrier"
8"He didn't run anymore."
9"He moved with a predatory"
10"It took Quinn twenty minutes"
11"She skidded to a halt"
12"It was a gaping wound"
13"He turned slowly, placing his"
14"Her finger hovered over the"
15"It was dangerous."
16"It was unauthorized."
17"It was everything she had"
18"She took a step forward."
19"she asked, nodding toward the"
ratio0.456
30.18% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount49
totalSentences57
matches
0"Harlow Quinn spat a mouthful"
1"Her lungs burned, a harsh"
2"She slowed her stride, adjusting"
3"The rain plastered her salt-and-pepper"
4"She checked her left wrist."
5"The worn leather strap of"
6"Morris had been gone three"
7"She caught sight of him"
8"Tomás Herrera moved through the"
9"His dark curls were plastered"
10"That made her blood boil."
11"He didn't stop."
12"He slipped between two pedestrians,"
13"Quinn broke into a sprint,"
14"She vaulted a retaining barrier"
15"The target was turning the"
16"Herrera glanced over his shoulder,"
17"He didn't run anymore."
18"He moved with a predatory"
19"It took Quinn twenty minutes"
ratio0.86
87.72% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences57
matches
0"If she went down there,"
ratio0.018
73.73% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount3
matches
0"Rain hammered the pavement of Soho, turning the cobblestones into slick, black ribbons that reflected the city’s dying neon."
1"He slipped between two pedestrians, a broad-shouldered figure that seemed to occupy more space than the lane he was taking."
2"He moved with a predatory precision, sliding through the maze of warehouses and back alleys that led out of the city proper."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences18
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
82.7201%