Run: 2026-02-19-01KHTXR1Y3D1NQS7B098EMR4QF

Run Details

Duration:
31.1s
Cost:
$0.002509
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 slicked the London streets into black mirrors under the sodium glow of streetlights. Detective Harlow Quinn's lungs burned as she pushed harder, the sound of her dress shoes pounding against wet pavement matching the frantic rhythm of her heart. Three blocks ahead, the suspect—a wiry man in a dark hoodie—glanced back before darting down an alleyway between two brick buildings. Quinn cut across the road, ignoring the blare of a taxi's horn as it skidded to avoid her. Her worn leather watch strap dug into her wrist with each pump of her arms. Forty-one years old and she still chased punks through downpours like a rookie. Some habits never died. The alley reeked of bins and stagnant water. Graffiti snaked across the walls in angry colors. The suspect was halfway down, his movements becoming more desperate as he approached the dead end. "Metropolitan Police! Stop!" Quinn's voice cut through the rain. "You're only making this worse." The man didn't slow. He reached the brick wall at the alley's end and slammed his palm against a section that looked no different from the rest. A section of bricks swung inward, revealing darkness beyond. Quinn's training screamed trap. Her gut screamed something else entirely. She'd seen impossible things since Morris died—things that defied explanation, things that had cost her partner his life under circumstances the official reports still couldn't properly explain. Without breaking stride, she plunged through the opening after him. The passage descended steeply, concrete steps slick with moisture. The air changed—grew thicker, charged with something ozone-like. The sounds of the city faded behind her until only their footsteps and breathing remained. Her hand went to the grip of her pistol out of habit, though she'd already drawn it during the street chase. The stairs opened into what appeared to be an abandoned Tube station. Tiles lined the curved walls, some fallen away to expose rough brickwork beneath. Old advertisements for products that hadn't existed in decades peeled from the walls. But this wasn't abandoned. People moved through the space—dozens of them, their faces shadowed, their clothes ranging from modern streetwear to what looked like period costumes. Booths lined the platform, selling things Quinn couldn't properly identify. Vials of glowing liquid, bound books with no titles, animal parts that shouldn't exist anymore. The air smelled of incense, damp earth, and something metallic underneath it all. Her suspect was already across the platform, pushing through a crowd gathered around a stall selling what looked like antique medical equipment. Quinn started after him, but something caught her eye—two figures standing near the tunnel entrance. One was a tall man with olive skin and curly dark hair, a Saint Christopher medallion visible against his neck. He was examining a woman's arm, his movements practiced and careful. The woman's skin glowed with a faint green light where he touched it. "Another five minutes, and you'd have lost the hand," the man said, his accent Spanish but his English perfect. "I told you not to handle raw goblin blood without protection." "I didn't have a choice," the woman replied, her voice tight with pain. "The market moves tomorrow." The man—Tomás Herrera, if the file Quinn had been building was accurate—nodded. "Always a choice. Always consequences." Quinn's attention snapped back to her suspect. He was approaching what looked like a ticket barrier, but instead of a gate, there was a stone archway carved with symbols that seemed to shift when she tried to focus on them. A figure in dark robes stood beside it, hand outstretched. The suspect reached into his pocket and pulled out something small and pale. A token carved from bone. The robed figure examined it, then nodded and stepped aside. The suspect slipped through the archway and vanished. Quinn stood frozen at the edge of the platform. Her police training had prepared her for armed suspects, high-speed pursuits, hostage situations. Nothing had prepared her for underground markets that sold impossible things to people who weren't quite human. Nothing had prepared her for bone tokens and archways that led elsewhere. A woman with silver eyes and too many fingers brushed past her, pausing to stare. "Police shouldn't be here." Quinn's hand tightened on her pistol. "I'm investigating a crime." The woman laughed, a sound like stones rattling together. "Everything here is a crime somewhere. That's the point." Across the platform, Herrera looked up from his patient. Their eyes met for a fraction of a second. Recognition flickered in his expression before he deliberately turned away, focusing back on the glowing wound. The archway waited. Beyond it, her suspect was getting away. Beyond it lay answers to questions she'd been asking for three years, since Morris died in that warehouse with symbols carved into the floor and his blood spelling out words that made no sense. But she had no bone token. No invitation. Nothing but a badge and a gun that suddenly felt inadequate against the impossible things moving through the shadows of this place. The robed guardian watched her, face hidden within the depths of their hood. Waiting.
created_at"2026-02-19T12:24:40.136Z" 2/19/2026, 12:24:40 PM
model"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency393
moderation_latency(null)
generation_time31083
tokens_prompt1140
tokens_completion1760
native_tokens_prompt991
native_tokens_completion1390
native_tokens_completion_images(null)
native_tokens_reasoning398
native_tokens_cached960
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"
usage0.002508729
router(null)
provider_responses
0
endpoint_id"c8607edc-8577-4199-b03d-1213da4743dc"
id"chatcmpl-RDIaPF1zHbYxsnMnySuYumI9"
is_byokfalse
latency82
model_permaslug"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771503880-AaNbyiBWdLFfOScM3j8F"
upstream_id"chatcmpl-RDIaPF1zHbYxsnMnySuYumI9"
total_cost0.002508729
cache_discount0.000336
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences10
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
88.32% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount856
totalAiIsmAdverbs2
found
0
adverb"deliberately"
count1
1
adverb"suddenly"
count1
highlights
0"deliberately"
1"suddenly"
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)
64.95% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount856
totalAiIsms6
found
0
word"pounding"
count1
1
word"charged"
count1
2
word"footsteps"
count1
3
word"perfect"
count1
4
word"flickered"
count1
5
word"depths"
count1
highlights
0"pounding"
1"charged"
2"footsteps"
3"perfect"
4"flickered"
5"depths"
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
narrationSentences63
matches(empty)
52.15% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences63
filterMatches
0"watch"
hedgeMatches
0"appeared to"
1"seemed to"
2"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences70
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords846
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
86.47% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions22
wordCount787
uniqueNames11
maxNameDensity1.27
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
London1
Harlow1
Quinn10
Morris2
Tube1
Saint1
Christopher1
Spanish1
English1
Tomás1
Herrera2
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Saint"
4"Christopher"
5"English"
6"Tomás"
7"Herrera"
places
0"London"
globalScore0.865
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount4
matches
0"looked like period costumes"
1"looked like antique medical equipment"
2"symbols that seemed to shift when she tried to focus on them"
3"looked like a ticket barrier, but instead"
4"quite human"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount846
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences70
matches(empty)
94.44% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean32.54
std15.64
cv0.481
sampleLengths
061
150
232
314
436
537
610
753
842
960
1037
1144
1230
1317
1417
1550
1618
1718
1851
1919
2010
2118
2234
2344
2430
2514
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences63
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs139
matches
0"was examining"
1"was approaching"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences70
ratio0.086
matches
0"Three blocks ahead, the suspect—a wiry man in a dark hoodie—glanced back before darting down an alleyway between two brick buildings."
1"She'd seen impossible things since Morris died—things that defied explanation, things that had cost her partner his life under circumstances the official reports still couldn't properly explain."
2"The air changed—grew thicker, charged with something ozone-like."
3"People moved through the space—dozens of them, their faces shadowed, their clothes ranging from modern streetwear to what looked like period costumes."
4"Quinn started after him, but something caught her eye—two figures standing near the tunnel entrance."
5"The man—Tomás Herrera, if the file Quinn had been building was accurate—nodded."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount797
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.03513174404015056
lyAdverbCount8
lyAdverbRatio0.010037641154328732
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences70
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences70
mean12.09
std6.97
cv0.577
sampleLengths
014
126
221
318
415
513
64
78
88
916
109
115
124
1323
149
154
166
1727
1810
199
208
2115
2221
2312
2413
2513
264
2722
2810
2915
3013
3122
3215
3320
3411
3513
3619
3711
3813
394
4012
415
427
4333
4410
4513
465
4710
488
499
70.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4857142857142857
totalSentences70
uniqueOpeners34
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences61
matches
0"Her worn leather watch strap"
1"He reached the brick wall"
2"Her gut screamed something else"
3"She'd seen impossible things since"
4"Her hand went to the"
5"Her suspect was already across"
6"He was examining a woman's"
7"He was approaching what looked"
8"Her police training had prepared"
9"Their eyes met for a"
ratio0.164
41.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences61
matches
0"Rain slicked the London streets"
1"Detective Harlow Quinn's lungs burned"
2"Quinn cut across the road,"
3"Her worn leather watch strap"
4"Some habits never died."
5"The alley reeked of bins"
6"Graffiti snaked across the walls"
7"The suspect was halfway down,"
8"Quinn's voice cut through the"
9"The man didn't slow."
10"He reached the brick wall"
11"A section of bricks swung"
12"Quinn's training screamed trap."
13"Her gut screamed something else"
14"She'd seen impossible things since"
15"The passage descended steeply, concrete"
16"The air changed—grew thicker, charged"
17"The sounds of the city"
18"Her hand went to the"
19"The stairs opened into what"
ratio0.836
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount2
matches
0"She'd seen impossible things since Morris died—things that defied explanation, things that had cost her partner his life under circumstances the official report…"
1"Beyond it lay answers to questions she'd been asking for three years, since Morris died in that warehouse with symbols carved into the floor and his blood spell…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"the woman replied, her voice tight with pain"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences10
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
76.6417%