Run: 2026-02-19-01KHTXN9N660R6DSFJ8MMJ4WG7

Run Details

Duration:
19.7s
Cost:
$0.008960
Provider:
Anthropic

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
The rain hammered against the pavement like machine gun fire, turning the Soho streets into rivers of reflected neon. Detective Harlow Quinn's trainers splashed through puddles as she rounded the corner onto Greek Street, her breath coming in controlled bursts despite the pace. Eighteen years on the force had taught her how to run without exhausting herself, how to pace a pursuit like a distance runner rather than a sprinter. The figure ahead moved with the kind of desperation only guilt produced. Male, mid-twenties, dark hoodie already soaked through. He'd bolted from the Raven's Nest three minutes ago, vaulting over tables like the furniture was nothing, sending glasses crashing to the floor. Quinn had been nursing a bitter coffee in the corner booth, waiting for someone who never showed. She'd only gone to the bar to ask questions. Instead, she'd found answers in the shape of this runner. The suspect glanced back once, saw her still coming, and his pace quickened. He knew she was police. The warrant card clipped to her belt had caught the light when she'd stood from her seat. That's when he'd moved—no hesitation, no attempt at innocent explanation. Just pure flight. Quinn's worn leather watch caught the glow of a streetlamp as she checked the time. 11:47 PM. Too late for most of Soho, too early for it to go completely dead. A few clusters of people dotted the pavement despite the downpour, and the suspect used them as obstacles, weaving between tourists huddled under shop awnings. The rain intensified. Quinn's cropped hair, salt-and-pepper at the temples, stuck to her skull. Water ran down her neck into her collar. Her sharp jaw clenched as she maintained her distance, neither closing nor losing ground. She'd learned long ago that you didn't need to catch someone immediately. You just needed them to know you weren't stopping. The suspect took a hard left down an alley she recognized. The back way toward Greek Street Station. His choice told her something—he knew the area, knew the exit points. That narrowed things down. He worked in Soho, or lived here, or spent enough time in the vicinity to map escape routes. The alley narrowed between two converted townhouses, forcing them both to single file. Rubbish bins overflowed into the passage. The smell of rotting food and stale beer hung thick despite the rain. The suspect's hood flew back from his face as he ran, revealing sharp features Quinn filed away for later. Brown eyes. Stubble. A small tattoo on his neck she couldn't quite make out in the darkness. Then he disappeared. Quinn's hands moved instinctively to her belt as she approached the section of alley where she'd last seen him. The railings of a basement stairwell descended into shadow. He'd gone down. She could hear his footsteps echoing off stone, the splash of water from a broken pipe somewhere below. She paused at the top of the stairs, letting her eyes adjust. The basement belonged to the old station—parts of it that had been sealed off decades ago, before the tube network consolidated. Everyone in the Met knew about these forgotten sections. Everyone knew not to go into them alone. The footsteps stopped. Quinn's hand wrapped around the torch on her belt. The metal felt solid, real. Down here, in the dark, that would matter. She'd lost Morris three years ago. Not to a bullet, not to a blade. Something else. Something that the department's psychiatric evaluators had diagnosed as stress-induced delusion when she'd tried to explain what she'd witnessed. The case file had been closed. Ruled as accidental. But Quinn knew the difference between what was standard police work and what was something else entirely. The footsteps resumed, moving deeper into the basement, away from the stairs. She descended, torch beam cutting through the dark. The stairs were steep, concrete worn smooth by decades of workers trudging up and down before this section had been abandoned. Water dripped from the ceiling in places, forming small pools on the platform below. The tunnel stretched in both directions, the rails still visible beneath the grime and debris. Signs advertising long-defunct products hung from the tiled walls, their paint peeling in long strips. The suspect's footsteps echoed again, somewhere to the left. Moving deeper into the tunnels. Moving away from any possible exit Quinn might recognize. She played her torch across the platform. Boot prints in the dust, fresh ones. His. And older ones. Many older ones. That didn't fit. The tunnels were sealed. Nobody came down here. The echo of footsteps changed pitch. He'd reached another platform. Another station, probably. One of the ghost stations—the ones the tube network had constructed but never opened, or had closed decades ago. The dark places nobody talked about. Quinn stood at the edge of the platform, torch raised. The tunnel ahead looked endless, the darkness absolute beyond the reach of her light. A cold smell emanated from it, something metallic and ancient. The air down here tasted like rust and forgotten things. She could call it in. Request backup, get a team down here with proper equipment. Wait for daylight when she could move through these tunnels without blind spots. The rational choice. The safe choice. But the suspect had known exactly where to run. He'd known these tunnels existed, knew them well enough to navigate them in the dark. That meant someone had brought him here before. Someone had shown him how to disappear into the old network beneath London. Quinn stepped onto the platform. The water on the ground reflected her torch beam, fragmenting it into scattered points of light. She moved forward into the tunnel, keeping the right-hand rail in her peripheral vision so she wouldn't lose her sense of direction. Her breath formed small clouds in the cold air. Every few feet, the tunnel passed through another archway, another section of what had once been the tube's beating heart. Then she saw it. A light ahead. Not electric. Something warm and amber, flickering. And beneath the light, a crowd. Shapes moving, people gathered around what looked like market stalls. Her torch beam caught the edge of it before the scene registered properly—a space that shouldn't exist, sheltered beneath the arches of the station, filled with tents and tables and figures in hooded cloaks. The Veil Market. The black market she'd been chasing for six months. The place where half the criminal underworld seemed to be buying and selling things that didn't fit into normal categories. Things that required bone tokens and moved with the lunar cycle. The suspect had led her directly into it. The figures below noticed her light. They turned as one, and Quinn felt the weight of their collective attention like a physical force. The suspect stood among them, no longer running, just waiting. Behind him, a man stepped forward from beneath one of the tent canopies. Older. Strong-featured. Scarred hands that suggested violence as a way of life. Quinn's hand went to her warrant card, then stopped. That symbol meant nothing down here.
created_at"2026-02-19T12:23:09.74Z" 2/19/2026, 12:23:09 PM
model"anthropic/claude-4.5-haiku-20251001"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency470
moderation_latency(null)
generation_time19645
tokens_prompt1140
tokens_completion1825
native_tokens_prompt1125
native_tokens_completion1567
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
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"
usage0.00896
router(null)
provider_responses
0
endpoint_id"41d2915a-92e6-4993-b537-210b4e10cba8"
id"msg_01XnvtBK52XgJR43QW7XjphT"
is_byokfalse
latency470
model_permaslug"anthropic/claude-4.5-haiku-20251001"
provider_name"Anthropic"
status200
api_type"completions"
id"gen-1771503789-04FhRgF8kmhQZ0Hcedi4"
upstream_id"msg_01XnvtBK52XgJR43QW7XjphT"
total_cost0.00896
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.80% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1190
totalAiIsmAdverbs1
found
0
adverb"completely"
count1
highlights
0"completely"
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)
32.77% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1190
totalAiIsms16
found
0
word"quickened"
count1
1
word"jaw clenched"
count1
2
word"footsteps"
count5
3
word"echoing"
count1
4
word"standard"
count1
5
word"echoed"
count1
6
word"echo"
count1
7
word"constructed"
count1
8
word"navigate"
count1
9
word"sense of"
count1
10
word"electric"
count1
11
word"weight"
count1
highlights
0"quickened"
1"jaw clenched"
2"footsteps"
3"echoing"
4"standard"
5"echoed"
6"echo"
7"constructed"
8"navigate"
9"sense of"
10"electric"
11"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences117
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences117
filterMatches
0"watch"
hedgeMatches
0"tried to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences117
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1178
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
94.82% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount1178
uniqueNames13
maxNameDensity1.1
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho3
Harlow1
Quinn13
Greek2
Street2
Raven1
Nest1
Station1
Met1
Morris1
London1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Morris"
places
0"Soho"
1"Greek"
2"Street"
3"Raven"
4"Station"
5"London"
globalScore0.948
windowScore1
60.71% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences84
glossingSentenceCount3
matches
0"quite make out in the darkness"
1"tasted like rust and forgotten things"
2"looked like market stalls"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.849
wordCount1178
matches
0"neither closing nor"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences117
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean42.07
std24.25
cv0.576
sampleLengths
070
178
248
356
457
552
668
73
849
950
103
1183
1212
1373
1423
1532
1638
1744
1834
1945
205
2167
224
2360
2443
258
2658
2715
96.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences117
matches
0"been sealed"
1"been closed"
2"been abandoned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs203
matches
0"weren't stopping"
20.76% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences5
totalSentences117
ratio0.043
matches
0"That's when he'd moved—no hesitation, no attempt at innocent explanation."
1"His choice told her something—he knew the area, knew the exit points."
2"The basement belonged to the old station—parts of it that had been sealed off decades ago, before the tube network consolidated."
3"One of the ghost stations—the ones the tube network had constructed but never opened, or had closed decades ago."
4"Her torch beam caught the edge of it before the scene registered properly—a space that shouldn't exist, sheltered beneath the arches of the station, filled with tents and tables and figures in hooded cloaks."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1190
adjectiveStacks0
stackExamples(empty)
adverbCount40
adverbRatio0.03361344537815126
lyAdverbCount11
lyAdverbRatio0.009243697478991597
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences117
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences117
mean10.07
std6.45
cv0.64
sampleLengths
019
124
227
312
47
523
617
79
810
913
105
1117
1210
133
1415
152
1614
1725
183
1911
208
2114
2212
239
2411
257
2612
274
2818
2913
306
3113
3219
332
341
3514
363
3719
389
393
4018
4112
4221
439
448
453
469
475
488
496
56.98% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.39316239316239315
totalSentences117
uniqueOpeners46
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences109
matches
0"Instead, she'd found answers in"
1"Just pure flight."
2"Too late for most of"
3"Then he disappeared."
4"Then she saw it."
ratio0.046
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences109
matches
0"He'd bolted from the Raven's"
1"She'd only gone to the"
2"He knew she was police."
3"Her sharp jaw clenched as"
4"She'd learned long ago that"
5"You just needed them to"
6"His choice told her something—he"
7"He worked in Soho, or"
8"He'd gone down."
9"She could hear his footsteps"
10"She paused at the top"
11"She'd lost Morris three years"
12"She descended, torch beam cutting"
13"She played her torch across"
14"He'd reached another platform."
15"She could call it in."
16"He'd known these tunnels existed,"
17"She moved forward into the"
18"Her breath formed small clouds"
19"Her torch beam caught the"
ratio0.193
74.68% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount84
totalSentences109
matches
0"The rain hammered against the"
1"Detective Harlow Quinn's trainers splashed"
2"The figure ahead moved with"
3"He'd bolted from the Raven's"
4"Quinn had been nursing a"
5"She'd only gone to the"
6"The suspect glanced back once,"
7"He knew she was police."
8"The warrant card clipped to"
9"That's when he'd moved—no hesitation,"
10"Quinn's worn leather watch caught"
11"The rain intensified."
12"Quinn's cropped hair, salt-and-pepper at"
13"Water ran down her neck"
14"Her sharp jaw clenched as"
15"She'd learned long ago that"
16"You just needed them to"
17"The suspect took a hard"
18"The back way toward Greek"
19"His choice told her something—he"
ratio0.771
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences109
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount2
matches
0"Her torch beam caught the edge of it before the scene registered properly—a space that shouldn't exist, sheltered beneath the arches of the station, filled with…"
1"The place where half the criminal underworld seemed to be buying and selling things that didn't fit into normal categories."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
87.7597%