Run: 2026-02-24-01KJ8WVRQ47JY4V1Y08P6AE78G

Run Details

Duration:
40.8s
Cost:
$0.027129
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 came down in sheets, the kind that soaked through leather in thirty seconds and turned every gutter into a river. Quinn ran anyway. She'd been watching the Raven's Nest for the better part of a week – nursing bad coffee in a hire car parked opposite the green neon sign, cataloguing faces, making notes that her superintendent would have called circumstantial and her gut called something else entirely. Three years since Morris died in circumstances that still didn't sit right in any file she'd ever read, and the trail had eventually, impossibly, led to a dim bar in Soho. She hadn't expected her quarry to bolt. The man was fast. Mid-thirties, olive-skinned, wearing a grey jacket that was now plastered to his back in the downpour, weaving between the late-night pedestrians on Oxford Street with the kind of practised ease that told her he'd run before. She'd clocked him coming out of the Raven's twenty minutes ago, slipping through the side entrance rather than the front – the kind of detail civilians didn't notice. Quinn noticed everything. "Stop! Police!" Half the street flinched. He didn't. He cut left down a narrow alley between a closed kebab shop and a betting office, nearly wrenching his shoulder on the wall as he turned, and Quinn followed three seconds behind, her boots splashing through a puddle that swallowed her ankle. She grabbed the corner brickwork to keep her momentum, felt the rough surface drag against her palm. The alley spat them out onto a side street and he was already pulling ahead, longer stride, younger legs. Quinn pushed harder, her lungs beginning to burn, the worn leather watch on her wrist catching the amber glow of a streetlamp as she pumped her arms. She kept her eyes on the grey jacket. He knew where he was going. That was the thing – not the blind panic of someone trying to lose a tail, but the deliberate routing of someone with a destination in mind. He wasn't running away from her. He was running towards something. Camden. She realised it when they crossed the canal bridge and the lock materialised out of the rain on her left. He'd taken her north in a route so circuitous she'd barely tracked the direction. The market stalls were long shuttered, tarpaulins straining in the wind, and the high street was thinner of people now, a handful of damp figures outside a chip shop being the only witnesses to the chase. He ducked beneath the railway arches. Quinn slowed, just slightly, because the arches swallowed the streetlight and she had no idea what was on the other side of them. She pressed herself to the brick, drew her torch from her coat. Clicked it on. The beam caught water dripping from the vaulted ceiling, a scattering of crushed cans, and a padlocked service gate at the far end that stood open. She went through. The steps on the other side descended sharply, worn Victorian tile underfoot, and the smell hit her immediately – damp stone, something chemical and sweet, and beneath it all something older she had no name for. She kept the torch up, weight forward on her toes, one hand trailing the wall. The rain faded above her. Her own breathing was too loud. The steps levelled out into a tunnel and she stopped. Light bled from somewhere ahead. Warm, amber, nothing like fluorescence. And sound – voices, dozens of them layered into a low, continuous murmur that had no right to exist this far underground in a disused station she'd walked past above ground a hundred times without ever thinking anything of. She checked her phone. No signal. She hadn't expected any. The grey jacket stood at the mouth of the tunnel, caught between light and shadow, and the man wearing it had stopped. He turned to look at her. Not panicked. Calculating. "Detective." His accent was Spanish, the word unhurried. "You need to go back up." He had a Saint Christopher medallion at his throat, catching the amber light from below, and a scar along his left forearm that the rolled sleeve of the jacket exposed – jagged, the kind left by something deliberate and close. She fixed that detail in her memory alongside everything else. "Tomás Herrera." She kept the torch level, kept her voice level. "You've been providing medical care to individuals in and around the Soho area, off the books. At least three of those individuals are persons of interest in an ongoing investigation." She stepped forward. "So you're going to come with me now, and we're going to have a conversation somewhere that isn't the bottom of an abandoned tube station." He didn't move. He looked at her the way people looked at someone standing too close to an open window, that particular calculation of risk and warning. "You've never been down here before." "And yet here I am." "You don't have a token." He glanced pointedly at the far end of the tunnel where the amber glow was thickest, where the voices drew together into something that no longer quite sounded like ordinary conversation. "They'll know that within thirty seconds of you crossing." Quinn's jaw tightened. Thirty seconds from crossing what, she didn't ask, because she wasn't ready to hear the answer with nothing between her and it but a torch and a warrant card. Her hand moved inside her coat to rest against her sidearm instead, the grip cold and solid and completely familiar, a piece of the world she understood. "Then you come out first and nobody needs to cross anything." Herrera looked at her for a long moment. He was reading her the same way she was reading him, working out which of them had more to lose by the next move. He reached up and closed his fingers around the medallion briefly, a reflex rather than a gesture, and then he began to walk slowly back towards her. Behind him, something in the amber dark shifted its weight. Quinn held her ground.
created_at"2026-02-24T22:38:35.245Z" 2/24/2026, 10:38:35 PM
model"anthropic/claude-4.6-sonnet-20260217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency789
moderation_latency(null)
generation_time40739
tokens_prompt1140
tokens_completion1769
native_tokens_prompt1143
native_tokens_completion1580
native_tokens_completion_images(null)
native_tokens_reasoning264
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"
usage0.027129
router(null)
provider_responses
0
endpoint_id"6d408764-7dd7-4626-bb87-a6cc1589bc86"
id"msg_01KHEMbPtX62cWXfzmYrAmsN"
is_byokfalse
latency778
model_permaslug"anthropic/claude-4.6-sonnet-20260217"
provider_name"Anthropic"
status200
api_type"completions"
id"gen-1771972715-VRB21M23205HVjUnwlns"
upstream_id"msg_01KHEMbPtX62cWXfzmYrAmsN"
total_cost0.027129
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"

Evaluation details

Result Evaluator Details Meta Data
18.18% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount1
adverbTags
0"He glanced pointedly [pointedly]"
dialogueSentences11
tagDensity0.364
leniency0.727
rawRatio0.25
effectiveRatio0.182
80.06% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1003
totalAiIsmAdverbs4
found
0
adverb"slightly"
count1
1
adverb"sharply"
count1
2
adverb"completely"
count1
3
adverb"slowly"
count1
highlights
0"slightly"
1"sharply"
2"completely"
3"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)
80.06% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1003
totalAiIsms4
found
0
word"weight"
count2
1
word"calculating"
count1
2
word"familiar"
count1
highlights
0"weight"
1"calculating"
2"familiar"
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"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences68
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1009
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount907
uniqueNames11
maxNameDensity0.77
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Raven2
Nest1
Morris1
Soho1
Oxford1
Street1
Quinn7
Victorian1
Spanish1
Saint1
Christopher1
persons
0"Raven"
1"Morris"
2"Quinn"
3"Saint"
4"Christopher"
places
0"Soho"
1"Oxford"
2"Street"
globalScore1
windowScore1
87.50% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount1
matches
0"sounded like ordinary conversation"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.991
wordCount1009
matches
0"not the blind panic of someone trying to lose a tail, but the deliberate routing of someone with a destination in mind"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences68
matches
0"fixed that detail"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean32.55
std25.35
cv0.779
sampleLengths
025
176
27
371
42
56
659
754
844
971
106
1138
1226
133
1462
1510
1659
1728
183
1914
2050
2169
2227
236
245
2545
2659
2711
2859
2910
304
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences61
matches(empty)
0.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount5
totalVerbs148
matches
0"was already pulling"
1"was going"
2"wasn't running"
3"was running"
4"was reading"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences6
totalSentences68
ratio0.088
matches
0"She'd been watching the Raven's Nest for the better part of a week – nursing bad coffee in a hire car parked opposite the green neon sign, cataloguing faces, making notes that her superintendent would have called circumstantial and her gut called something else entirely."
1"She'd clocked him coming out of the Raven's twenty minutes ago, slipping through the side entrance rather than the front – the kind of detail civilians didn't notice."
2"That was the thing – not the blind panic of someone trying to lose a tail, but the deliberate routing of someone with a destination in mind."
3"The steps on the other side descended sharply, worn Victorian tile underfoot, and the smell hit her immediately – damp stone, something chemical and sweet, and beneath it all something older she had no name for."
4"And sound – voices, dozens of them layered into a low, continuous murmur that had no right to exist this far underground in a disused station she'd walked past above ground a hundred times without ever thinking anything of."
5"He had a Saint Christopher medallion at his throat, catching the amber light from below, and a scar along his left forearm that the rolled sleeve of the jacket exposed – jagged, the kind left by something deliberate and close."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount904
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.03871681415929203
lyAdverbCount13
lyAdverbRatio0.014380530973451327
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences68
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences68
mean14.84
std12.53
cv0.844
sampleLengths
022
13
245
331
47
54
636
728
83
92
104
112
1242
1317
1419
1527
168
176
1827
196
205
211
2220
2314
2436
256
2623
2712
283
2926
303
3136
3215
335
346
3510
365
375
3839
394
402
414
4222
436
442
451
468
476
4840
4910
60.29% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.39705882352941174
totalSentences68
uniqueOpeners27
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences56
matches(empty)
ratio0
5.71% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences56
matches
0"She'd been watching the Raven's"
1"She hadn't expected her quarry"
2"She'd clocked him coming out"
3"He cut left down a"
4"She grabbed the corner brickwork"
5"She kept her eyes on"
6"He knew where he was"
7"He wasn't running away from"
8"He was running towards something."
9"She realised it when they"
10"He'd taken her north in"
11"He ducked beneath the railway"
12"She pressed herself to the"
13"She went through."
14"She kept the torch up,"
15"Her own breathing was too"
16"She checked her phone."
17"She hadn't expected any."
18"He turned to look at"
19"His accent was Spanish, the"
ratio0.536
31.43% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences56
matches
0"The rain came down in"
1"Quinn ran anyway."
2"She'd been watching the Raven's"
3"She hadn't expected her quarry"
4"The man was fast."
5"She'd clocked him coming out"
6"Quinn noticed everything."
7"He cut left down a"
8"She grabbed the corner brickwork"
9"The alley spat them out"
10"Quinn pushed harder, her lungs"
11"She kept her eyes on"
12"He knew where he was"
13"That was the thing –"
14"He wasn't running away from"
15"He was running towards something."
16"She realised it when they"
17"He'd taken her north in"
18"The market stalls were long"
19"He ducked beneath the railway"
ratio0.857
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences56
matches(empty)
ratio0
44.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences29
technicalSentenceCount4
matches
0"Mid-thirties, olive-skinned, wearing a grey jacket that was now plastered to his back in the downpour, weaving between the late-night pedestrians on Oxford Stre…"
1"He cut left down a narrow alley between a closed kebab shop and a betting office, nearly wrenching his shoulder on the wall as he turned, and Quinn followed thr…"
2"The beam caught water dripping from the vaulted ceiling, a scattering of crushed cans, and a padlocked service gate at the far end that stood open."
3"And sound – voices, dozens of them layered into a low, continuous murmur that had no right to exist this far underground in a disused station she'd walked past …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
73.4531%