Run: 2026-02-19-01KHTZ2Q1FF5CMT3YMP9D7WKWE

Run Details

Duration:
19.5s
Cost:
$0.009060
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 the pavement like machine-gun fire, turning the Soho streets into rivers of black glass that reflected the amber streetlights in fractured shards. Detective Harlow Quinn moved through it without breaking stride, her jaw set hard as she tracked the figure weaving through the late-night crowd two blocks ahead. Rain plastered her salt-and-pepper hair to her scalp, but she didn't slow. Eighteen years on the force had taught her that suspects made mistakes in weather like this. They rushed. They got sloppy. The figure ducked left into an alley between a shuttered restaurant and a sex shop, its neon sign casting everything in sickly pink light. Quinn picked up her pace, her worn leather watch catching the glow as she checked the time. 11:47 PM. Too late for civilians, which meant anyone out here had reason to be. She rounded the corner into the alley and nearly collided with a drunk sprawled across the wet concrete. Quinn vaulted over him without looking back, her breath coming hard and even. The alley opened onto Charing Cross Road, and there—fifty metres ahead—her suspect cut across traffic toward Leicester Square. A taxi blared its horn. The figure didn't stop. Quinn burst from the alley and threw herself after them, her shoes slapping against the sodden pavement. The suspect was fast, athletic, moving with the desperation of someone who knew exactly what they'd done. She'd run the face through the system three hours ago. No criminal record. No reason to bolt like a ghost fleeing daylight. That alone made her suspicious. Innocent people didn't run from police in the rain. Guilty ones did. And people connected to things that shouldn't exist? They ran harder. The figure veered south, abandoning the main streets for the twisted lanes of Chinatown. The buildings here crowded close, their red lanterns swaying in the wind. Puddles the size of small ponds collected between the worn cobblestones. Quinn's coat was soaked through now, heavy and cold against her ribs, but she barely registered it. The hunt had her full attention. She was gaining. Thirty metres now. She could see the shape of their shoulders, the rain streaming off their dark jacket. Quinn's lungs burned with the kind of sharp fire that came from pushing past her limit, but she pushed anyway. The suspect darted left again, and Quinn's instincts flared. They were heading toward Charing Cross station. Except no. Wrong direction. They were heading toward— The suspect dropped down a flight of grimy stone steps leading to a service entrance. Quinn saw the faded Metropolitan Railway sign bolted to the wall, half-obscured by decades of grime and peeling paint. The Tube. Of course. Underground meant fewer cameras, fewer witnesses, more places to disappear. Quinn descended after them, her footsteps echoing in the darkness. The air changed immediately—became cooler, damper, carrying the metallic taste of old iron and something else she couldn't place. The service entrance was sealed with a gate of rusted chain-link, but it hung loose, displaced. Fresh gouges marked the metal where someone had forced it recently. She slipped through and stopped, letting her eyes adjust. The tunnel stretched before her, abandoned and black except for the weak glow of her torch cutting through the darkness. Water dripped from the curved brick ceiling, each drop echoing like a countdown. Her suspect was in there somewhere, in that underground maze that hadn't seen a passenger train in probably fifty years. Quinn's hand moved to her hip, fingers brushing the grip of her service weapon. She'd been here once before, three years ago. The night Morris died. The night she'd watched her partner descend into something wrong and never come back up. The official report said gas leak, carbon monoxide, tragic accident. But Quinn had seen his face before he went down. She'd seen the terror there. And she'd heard things in that darkness that her brain still refused to categorize. She stood at the mouth of the tunnel, rain dripping from her coat onto the black water pooling at her feet. The beam of her torch wavered slightly. Just slightly. Not from the wind. From something in her hands deciding whether to obey her orders. A sound echoed from the depths—a footfall, or something like it. The suspect was down there. Running through the darkness like they knew the way. Like they'd done it before. Which meant they were connected to this place. Which meant Quinn had been right to chase them. She took a breath. The air smelled like rust and decay and something sweet underneath. Something organic. Corrupt. She'd smelled it the night Morris died. Quinn stepped forward into the tunnel, her torch beam cutting through the absolute black. The water around her feet was deeper than it should be, pooled in the dip of the platform where passengers had once stood waiting for trains. Now it was just a grave filled with rainwater and secrets. The tunnel curved away to her right, and she followed it, her breath coming shallow and controlled. Military precision. That's what they said about her. As if precision could protect her from what lived in places like this. The tunnel opened into a larger space—a platform. Her torch found tiles on the walls, once white, now the colour of old teeth. Posters from the 1940s still clung to the brick, advertising Ovaltine and war bonds. A bench sat at the platform's edge, overturned. Recent. Her suspect had come through here fast. Beyond the platform, the tunnel continued, and Quinn caught a flicker of movement—a shadow passing through her torch beam. She moved forward, her footsteps careful now. The water here was moving, she realized. Not just standing. Flowing. Deeper into the tunnel, the current pulled steadily toward something below. The air changed again. Became warmer. She could hear something now beneath the sound of dripping water. Voices. Dozens of them. Layered and distant, like they came through multiple walls. Music too. Strange, discordant music that made her teeth ache. Her suspect had rounded a corner fifty metres ahead. Quinn could see the glow of light from that direction now—not electric light, something warmer and greener. The kind of light that made her skin crawl because she knew what it meant. Knew what it signalled. She stopped. Let the water lap at her ankles while she stood motionless in the dark. Her hand was on her weapon now, weapon drawn, torch held steady in her other fist. Three years ago she'd made a choice to stop chasing what she didn't understand. She'd filed her report. She'd accepted the official narrative. She'd tried to move on. But she'd also spent three years waiting for another case to lead her here. Waiting for the universe to give her a second chance. Waiting to understand what had taken Morris and why it had let her walk away. Quinn moved forward, her jaw tight, her eyes fixed on that strange green glow spilling across the tunnel walls. She descended into the light, toward the sound of those voices, toward whatever existed in the spaces between the official world and the truth.
created_at"2026-02-19T12:47:58.005Z" 2/19/2026, 12:47:58 PM
model"anthropic/claude-4.5-haiku-20251001"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency351
moderation_latency(null)
generation_time19424
tokens_prompt1140
tokens_completion1815
native_tokens_prompt1125
native_tokens_completion1587
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"
usage0.00906
router(null)
provider_responses
0
endpoint_id"41d2915a-92e6-4993-b537-210b4e10cba8"
id"msg_0164oDKHsSoTcuPxd5qsUxBd"
is_byokfalse
latency351
model_permaslug"anthropic/claude-4.5-haiku-20251001"
provider_name"Anthropic"
status200
api_type"completions"
id"gen-1771505278-rGmvSsSpra6TDnkqCXC5"
upstream_id"msg_0164oDKHsSoTcuPxd5qsUxBd"
total_cost0.00906
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
91.67% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1200
totalAiIsmAdverbs2
found
0
adverb"slightly"
count2
highlights
0"slightly"
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)
45.83% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1200
totalAiIsms13
found
0
word"fractured"
count1
1
word"streaming"
count1
2
word"footsteps"
count2
3
word"echoing"
count2
4
word"wavered"
count1
5
word"echoed"
count1
6
word"depths"
count1
7
word"footfall"
count1
8
word"grave"
count1
9
word"flicker"
count1
10
word"electric"
count1
highlights
0"fractured"
1"streaming"
2"footsteps"
3"echoing"
4"wavered"
5"echoed"
6"depths"
7"footfall"
8"grave"
9"flicker"
10"electric"
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
narrationSentences119
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences119
filterMatches
0"watch"
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences119
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1187
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
82.60% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions33
wordCount1187
uniqueNames14
maxNameDensity1.35
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn16
Charing2
Cross2
Road1
Leicester1
Square1
Chinatown1
Metropolitan1
Railway1
Tube1
Morris3
Ovaltine1
persons
0"Harlow"
1"Quinn"
2"Morris"
places
0"Soho"
1"Charing"
2"Cross"
3"Road"
4"Leicester"
5"Chinatown"
globalScore0.826
windowScore0.833
87.50% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences80
glossingSentenceCount2
matches
0"something like it"
1"smelled like rust and decay and something"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1187
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences119
matches(empty)
39.06% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean56.52
std16.21
cv0.287
sampleLengths
084
156
258
384
460
565
648
756
862
980
1045
1147
1225
1389
1453
1548
1640
1745
1860
1939
2043
99.37% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences119
matches
0"was sealed"
1"were connected"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs207
matches
0"was gaining"
1"were heading"
2"were heading"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences7
totalSentences119
ratio0.059
matches
0"The alley opened onto Charing Cross Road, and there—fifty metres ahead—her suspect cut across traffic toward Leicester Square."
1"They were heading toward—"
2"The air changed immediately—became cooler, damper, carrying the metallic taste of old iron and something else she couldn't place."
3"A sound echoed from the depths—a footfall, or something like it."
4"The tunnel opened into a larger space—a platform."
5"Beyond the platform, the tunnel continued, and Quinn caught a flicker of movement—a shadow passing through her torch beam."
6"Quinn could see the glow of light from that direction now—not electric light, something warmer and greener."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1200
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.02666666666666667
lyAdverbCount10
lyAdverbRatio0.008333333333333333
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences119
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences119
mean9.97
std6.35
cv0.637
sampleLengths
025
126
212
316
42
53
624
717
82
913
1018
1113
1218
135
144
1517
1617
1710
183
199
205
219
223
238
243
2514
2612
2711
2817
296
303
313
3215
3320
349
357
362
372
384
3915
4019
412
422
4310
4410
4519
4616
4711
489
4920
63.03% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.42857142857142855
totalSentences119
uniqueOpeners51
32.36% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences103
matches
0"Too late for civilians, which"
ratio0.01
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences103
matches
0"They got sloppy."
1"She rounded the corner into"
2"She'd run the face through"
3"They ran harder."
4"She was gaining."
5"She could see the shape"
6"They were heading toward Charing"
7"They were heading toward—"
8"She slipped through and stopped,"
9"Her suspect was in there"
10"She'd been here once before,"
11"She'd seen the terror there."
12"She stood at the mouth"
13"She took a breath."
14"She'd smelled it the night"
15"Her torch found tiles on"
16"Her suspect had come through"
17"She moved forward, her footsteps"
18"She could hear something now"
19"Her suspect had rounded a"
ratio0.243
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount74
totalSentences103
matches
0"The rain hammered the pavement"
1"Detective Harlow Quinn moved through"
2"Rain plastered her salt-and-pepper hair"
3"They got sloppy."
4"The figure ducked left into"
5"Quinn picked up her pace,"
6"She rounded the corner into"
7"Quinn vaulted over him without"
8"The alley opened onto Charing"
9"A taxi blared its horn."
10"The figure didn't stop."
11"Quinn burst from the alley"
12"The suspect was fast, athletic,"
13"She'd run the face through"
14"That alone made her suspicious."
15"Innocent people didn't run from"
16"They ran harder."
17"The figure veered south, abandoning"
18"The buildings here crowded close,"
19"Puddles the size of small"
ratio0.718
97.09% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences103
matches
0"Now it was just a"
1"As if precision could protect"
ratio0.019
93.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount4
matches
0"The rain hammered the pavement like machine-gun fire, turning the Soho streets into rivers of black glass that reflected the amber streetlights in fractured sha…"
1"Quinn vaulted over him without looking back, her breath coming hard and even."
2"The suspect was fast, athletic, moving with the desperation of someone who knew exactly what they'd done."
3"Her suspect was in there somewhere, in that underground maze that hadn't seen a passenger train in probably fifty years."
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
87.7367%