Run: 2026-02-24-01KJ8WSXEZY2F5DH1JKAPSWM6S

Run Details

Duration:
39.7s
Cost:
$0.026559
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 sideways off the Thames, the kind that found the gap between collar and neck no matter how you hunched. Quinn ran anyway. Herrera was forty metres ahead of her, weaving through the scattered foot traffic on Camden High Street like he'd rehearsed it. He'd bolted the moment he'd clocked her across the road outside the Raven's Nest — one look at her face through the green neon wash and he'd dropped his cigarette and gone. She'd caught the flicker of recognition in his expression, the precise calculation behind it, before his legs made the decision for him. Eighteen years on the job had taught her what guilty looked like at distance. "Stop — Metropolitan Police!" Her voice cut through the wet air, which turned exactly two heads on the pavement and did nothing to slow Herrera down. He ducked left, taking a narrow alley between a shuttered off-licence and a chicken shop still blazing fluorescent at half-eleven on a Thursday. Quinn followed, her shoes hitting the puddles hard, the water spraying cold against her shins. The alley smelled of bin bags and something fermented. A fox froze at the end of it, amber eyes catching the light, then dissolved into shadow. Herrera was already through, already on the next street, already turning again — south this time, she tracked the slap of his feet before she saw him. He was fast for a man running in a leather jacket. She gained ground on the open pavement, the worn leather watch on her wrist catching a glint of streetlight as her arms pumped. The gap closed to thirty metres, then twenty. He glanced back once, and she saw it in the angle of his jaw — the calculation running again, some different arithmetic this time. He ducked down. Not into a doorway. Not into another alley. He went down a staircase she'd have walked past a hundred times without registering — a narrow concrete descent behind a rusted railing, tucked between a shuttered newsagent and a betting shop. The kind of entrance that belonged to a basement bar or a storage unit. No signage. No light at the top of it. Quinn reached the top of the stairs and stopped. The rain drummed on the pavement around her. Below, the staircase bent out of sight after eight or nine steps, and beyond the bend there was light — not the cold white of a torch or the flicker of emergency lighting, but something warmer and stranger, amber-tinged, pulsing faintly as though it breathed. The sound that drifted up wasn't music exactly, more like voices in a large space, a low collective murmur threaded through with something she couldn't name. She put her hand on the railing. Cold iron, slick with rain. Seventeen months she'd been building the file on this group. The unlicensed treatments, the patients who didn't appear in any hospital records, the substances seized in the Brixton flat that the lab had come back on three times with three different contradictory analyses. She'd pulled Herrera's NHS file, traced the license revocation, interviewed the registrar who'd signed the paperwork with shaking hands and then refused a follow-up. Every thread she pulled unravelled into something she couldn't stitch into a coherent report. Morris had been pulling at threads like these when he died. She pushed that thought down. Flattened it. Her radio was on her hip. She could call in a location, request backup, wait at the top of these stairs for support to arrive and let Herrera disappear into whatever this was — because he would disappear, she knew that the way she knew her own heartbeat, the certainty of it sitting in her chest like a stone. Or she went down. She descended. The stairs went further than they should have. The geometry of it didn't work against the street plan she held in her head — they went down too far, turned twice, and the ceiling lowered until the cool damp air pressed close on all sides. The walls changed from concrete to something older, tiled in cracked cream ceramic with thin green borders, the kind of tile that belonged in an abandoned Tube corridor. Maintenance lighting ran in a strip along the ceiling, but half of it was overridden by hanging lanterns of greenish glass, and it was these that gave everything its underwater quality, that slow amber pulse. Then the corridor opened, and she stopped again. The space ahead of her had once been a Tube platform. The tracks were still there, sunk below, rusted over and webbed with something that caught the light between the ties. But the platform itself — wide, long, impossibly busy — had become something else entirely. Stalls ran the length of it, improvised structures of cloth and wood and metal shelving, crammed with objects she couldn't immediately categorise. Glass bottles holding liquids in colours she didn't have words for. Trays of small bones arranged in patterns. Bound books with covers that looked organic. A man in a moth-eaten suit behind a counter covered in teeth. An elderly woman who turned to look at Quinn and had no irises, only a flat pale grey from edge to edge. The noise was extraordinary up close — not loud, but layered, conversations in languages she couldn't identify, the occasional bark of laughter, somewhere the thin high note of something that wasn't quite music played on something that wasn't quite an instrument. Nobody had stopped what they were doing. Nobody had acknowledged her presence yet. Herrera was twenty feet ahead, moving between two stalls, and he wasn't running anymore. He was walking with purpose, head down, hand already reaching into his jacket for something — and Quinn saw it now, saw the calculation he'd been running since the moment he'd bolted: he hadn't been running from her. He'd been leading her here. Her hand moved to her warrant card, then stopped. She looked at the stall nearest to her. A small dish on the counter held a collection of objects about the size of a thumbnail — irregular, yellowish, worn smooth. It took her a moment to understand what she was looking at. Bone tokens. She hadn't paid to get in.
created_at"2026-02-24T22:37:34.566Z" 2/24/2026, 10:37:34 PM
model"anthropic/claude-4.6-sonnet-20260217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency906
moderation_latency(null)
generation_time39629
tokens_prompt1140
tokens_completion1745
native_tokens_prompt1143
native_tokens_completion1542
native_tokens_completion_images(null)
native_tokens_reasoning186
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"
usage0.026559
router(null)
provider_responses
0
endpoint_id"6d408764-7dd7-4626-bb87-a6cc1589bc86"
id"msg_01FSdMynAJDsHKvyk2BxoYFG"
is_byokfalse
latency899
model_permaslug"anthropic/claude-4.6-sonnet-20260217"
provider_name"Anthropic"
status200
api_type"completions"
id"gen-1771972654-56CGkE9kqrD7yL8TV3Xs"
upstream_id"msg_01FSdMynAJDsHKvyk2BxoYFG"
total_cost0.026559
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1027
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
70.79% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1027
totalAiIsms6
found
0
word"flicker"
count2
1
word"glint"
count1
2
word"tinged"
count1
3
word"traced"
count1
4
word"pulse"
count1
highlights
0"flicker"
1"glint"
2"tinged"
3"traced"
4"pulse"
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
narrationSentences66
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences66
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences66
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1040
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount1036
uniqueNames11
maxNameDensity0.58
worstName"Herrera"
maxWindowNameDensity1.5
worstWindowName"Herrera"
discoveredNames
Thames1
Camden1
High1
Street1
Raven1
Nest1
Herrera6
Thursday1
Brixton1
Tube2
Quinn5
persons
0"Herrera"
1"Quinn"
places
0"Thames"
1"Camden"
2"High"
3"Street"
4"Raven"
5"Brixton"
globalScore1
windowScore1
57.41% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences54
glossingSentenceCount2
matches
0"looked like at distance"
1"quite music played on something that wasn't quite an instrument"
2"quite an instrument"
7.69% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.923
wordCount1040
matches
0"not the cold white of a torch or the flicker of emergency lighting, but something warmer"
1"not loud, but layered, conversations in languages she couldn't identify, t"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences66
matches
0"knew that the"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean37.14
std34.59
cv0.931
sampleLengths
025
175
214
349
468
511
655
73
863
99
1079
1112
1281
1311
147
1559
164
172
18108
198
20127
2141
2213
2357
249
2542
262
276
99.95% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences66
matches
0"was overridden"
46.74% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs174
matches
0"were doing"
1"wasn't running"
2"was walking"
3"was looking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount12
semicolonCount0
flaggedSentences11
totalSentences66
ratio0.167
matches
0"He'd bolted the moment he'd clocked her across the road outside the Raven's Nest — one look at her face through the green neon wash and he'd dropped his cigarette and gone."
1"Herrera was already through, already on the next street, already turning again — south this time, she tracked the slap of his feet before she saw him."
2"He glanced back once, and she saw it in the angle of his jaw — the calculation running again, some different arithmetic this time."
3"He went down a staircase she'd have walked past a hundred times without registering — a narrow concrete descent behind a rusted railing, tucked between a shuttered newsagent and a betting shop."
4"Below, the staircase bent out of sight after eight or nine steps, and beyond the bend there was light — not the cold white of a torch or the flicker of emergency lighting, but something warmer and stranger, amber-tinged, pulsing faintly as though it breathed."
5"She could call in a location, request backup, wait at the top of these stairs for support to arrive and let Herrera disappear into whatever this was — because he would disappear, she knew that the way she knew her own heartbeat, the certainty of it sitting in her chest like a stone."
6"The geometry of it didn't work against the street plan she held in her head — they went down too far, turned twice, and the ceiling lowered until the cool damp air pressed close on all sides."
7"But the platform itself — wide, long, impossibly busy — had become something else entirely."
8"The noise was extraordinary up close — not loud, but layered, conversations in languages she couldn't identify, the occasional bark of laughter, somewhere the thin high note of something that wasn't quite music played on something that wasn't quite an instrument."
9"He was walking with purpose, head down, hand already reaching into his jacket for something — and Quinn saw it now, saw the calculation he'd been running since the moment he'd bolted: he hadn't been running from her."
10"A small dish on the counter held a collection of objects about the size of a thumbnail — irregular, yellowish, worn smooth."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1029
adjectiveStacks0
stackExamples(empty)
adverbCount35
adverbRatio0.034013605442176874
lyAdverbCount8
lyAdverbRatio0.007774538386783284
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences66
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences66
mean15.76
std11.75
cv0.745
sampleLengths
022
13
221
332
422
514
626
723
815
99
1017
1127
1211
1323
148
1524
163
174
184
1932
2014
212
227
239
248
2545
2626
277
285
2910
3033
3124
3214
3311
345
352
366
3753
384
392
408
4137
4228
4335
448
4511
4620
4715
4822
4911
61.11% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats8
diversityRatio0.4393939393939394
totalSentences66
uniqueOpeners29
53.76% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences62
matches
0"Then the corridor opened, and"
ratio0.016
90.97% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences62
matches
0"He'd bolted the moment he'd"
1"She'd caught the flicker of"
2"Her voice cut through the"
3"He ducked left, taking a"
4"He was fast for a"
5"She gained ground on the"
6"He glanced back once, and"
7"He ducked down."
8"He went down a staircase"
9"She put her hand on"
10"She'd pulled Herrera's NHS file,"
11"She pushed that thought down."
12"Her radio was on her"
13"She could call in a"
14"He was walking with purpose,"
15"He'd been leading her here."
16"Her hand moved to her"
17"She looked at the stall"
18"It took her a moment"
19"She hadn't paid to get"
ratio0.323
48.71% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences62
matches
0"The rain came sideways off"
1"Quinn ran anyway."
2"Herrera was forty metres ahead"
3"He'd bolted the moment he'd"
4"She'd caught the flicker of"
5"Her voice cut through the"
6"He ducked left, taking a"
7"Quinn followed, her shoes hitting"
8"The alley smelled of bin"
9"A fox froze at the"
10"Herrera was already through, already"
11"He was fast for a"
12"She gained ground on the"
13"The gap closed to thirty"
14"He glanced back once, and"
15"He ducked down."
16"He went down a staircase"
17"The kind of entrance that"
18"Quinn reached the top of"
19"The rain drummed on the"
ratio0.823
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences62
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount9
matches
0"Quinn followed, her shoes hitting the puddles hard, the water spraying cold against her shins."
1"The kind of entrance that belonged to a basement bar or a storage unit."
2"Below, the staircase bent out of sight after eight or nine steps, and beyond the bend there was light — not the cold white of a torch or the flicker of emergenc…"
3"The sound that drifted up wasn't music exactly, more like voices in a large space, a low collective murmur threaded through with something she couldn't name."
4"The unlicensed treatments, the patients who didn't appear in any hospital records, the substances seized in the Brixton flat that the lab had come back on three…"
5"She'd pulled Herrera's NHS file, traced the license revocation, interviewed the registrar who'd signed the paperwork with shaking hands and then refused a follo…"
6"The walls changed from concrete to something older, tiled in cracked cream ceramic with thin green borders, the kind of tile that belonged in an abandoned Tube …"
7"The tracks were still there, sunk below, rusted over and webbed with something that caught the light between the ties."
8"The noise was extraordinary up close — not loud, but layered, conversations in languages she couldn't identify, the occasional bark of laughter, somewhere the t…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
77.9044%