Run: 2026-10-08-01M4DAE8GC4KTWA0FFQTVDJN9F

Run Details

Duration:
18.2s
Cost:
$0.001603
Provider:
Claude Platform on AWS

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 had been falling since Kentish Town, thin and needling, and it turned Camden High Street into a slick black mirror that threw back the neon of tattoo parlours and kebab shops. Harlow Quinn ran with her coat open and the wet soaking through her shirt. Her watch strap clung cold against the inside of her wrist. Ahead, the man in the grey parka cut between two tourists clutching carrier bags and did not look back. He didn't need to. He had known she was there since the bridge. Tomás Herrera. Twenty-nine years old, a paramedic's steady hands, a saint's medallion swinging beneath his collar. Two weeks ago she had watched those hands stitch a man on the floor of a Soho pub, blood running into the grout, the man's eyes rolling towards something that was not in that room. He swung left off the main drag onto the towpath, and the crowd fell away like a dropped coat. Canal water slapped against the lock gates. Quinn's soles skidded on the wet cobbles. She caught herself on an iron railing, rust flaking under her palm. "Herrera!" She didn't bother lowering her voice. Eighteen years of shouting over traffic and drunks had taught her that a police voice carried further than any siren. He stopped at the mouth of a brick arch beneath the railway line and turned. Rain ran off his curls and dripped from the point of his jaw. "You're going to ruin that coat, Detective." "Step away from the arch. Hands where I can see them." "My hands are fine." He held them up, palms out, then let one drop to his pocket. "Your phone won't work under here, by the way. Try it." She didn't look at the phone. She kept her eyes on him. But she heard the faint hiss of the handset searching, saw the bars flicker and die on the screen when she glanced down anyway. A reflex. Her thumb hovered over the call button and found nothing to press. "What's down there?" she said. "Something your superiors don't have a form for." He drew his hand from his pocket. Between two fingers he held a small pale token on a cord of frayed black thread, carved with a row of notches that caught the sodium light. A bone, polished smooth by use. "Ten minutes ago I was going to walk you through the front door like a guest. You didn't give me the chance to be polite." "You're under arrest for the unlawful treatment of a man who has no business being alive." Something moved behind his face. Not quite a smile. "He's very much alive, Detective. That's the trouble with him." He turned. Quinn moved forward, boots loud on the stone, and reached the arch just as he pressed the token flat against a rusted iron plate bolted to the brickwork. The plate gave a low tone, like a struck bell, and a seam appeared in the wall where there had been only mortar. Cold air breathed out of the gap. It smelled of wet earth, lamp oil, and something sweet and burnt, like sugar left too long on a hob. Behind the seam, stairs descended into a dark that seemed to have depth beyond the reach of any torch. Halfway down, she caught the glint of old Tube tiles, cream and maroon, and a faded enamel sign: CAMDEN. The lettering was wrong. The letters had been rearranged into something she could almost read. Her mind went back to the stairwell on Wardour Street three years ago, the one where Morris had gone ahead of her, the one where she had heard his voice say *Harlow, wait* and then nothing at all. Nothing except a silence she had never been able to explain in any report. Her superiors had filed it under misadventure. She had filed it under unfinished. Tomás had already reached the third step down. He didn't hurry. He simply waited, the token dangling from his fist, rain still tracking down the scar on his forearm. "You don't have to come," he said. "Nobody would blame you for going back to the street and calling it in." "Nobody would find you," she said. "Not on that side of the wall." "Maybe not." He shrugged. "Down here, though, I can't promise you'll find anyone either." Quinn looked at the dark. She looked at her wet hands, at the watch that had stopped keeping time the night Morris died, at the rain rolling off the arch above her. Her pulse slowed into the rhythm she used for interviews and standoffs. She stepped under the arch and onto the first stair. The seam shuddered and began to close behind her.
created_at"2026-10-08T08:35:23.284Z" 10/8/2026, 8:35:23 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency9897
moderation_latency(null)
generation_time18219
tokens_prompt1104
tokens_completion1091
native_tokens_prompt1576
native_tokens_completion2890
native_tokens_completion_images(null)
native_tokens_reasoning1430
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
service_tier"default"
usage0.0016026
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448523-slipRatk9uOqpDb7KCon"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448523-ruv1jJxMJIMU1uBQXoNP"
upstream_id"msg_011CfpTr3KbMM1hjag3NNaQ5"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTr3KbMM1hjag3NNaQ5"
is_byokfalse
latency749
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0016026
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.375
leniency0.75
rawRatio0
effectiveRatio0
93.65% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount788
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
74.62% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount788
totalAiIsms4
found
0
word"flicker"
count1
1
word"glint"
count1
2
word"silence"
count1
3
word"pulse"
count1
highlights
0"flicker"
1"glint"
2"silence"
3"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
narrationSentences53
matches(empty)
61.99% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences53
filterMatches
0"watch"
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences63
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords2
totalWords788
ratio0.003
matches
0"Harlow, wait"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions16
wordCount650
uniqueNames11
maxNameDensity0.62
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Kentish1
Town1
Camden1
High1
Street2
Quinn4
Herrera1
Soho1
Tube1
Wardour1
Morris2
persons
0"Quinn"
1"Herrera"
2"Morris"
places
0"Kentish"
1"Town"
2"Camden"
3"High"
4"Street"
5"Soho"
6"Wardour"
globalScore1
windowScore1
87.50% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences40
glossingSentenceCount1
matches
0"dark that seemed to have depth beyond the reach of any torch"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount788
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences63
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs23
mean34.26
std24.67
cv0.72
sampleLengths
090
151
245
31
426
528
67
711
828
950
105
1173
1216
1319
1480
1553
1665
1729
1821
1913
2014
2144
2219
98.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences53
matches
0"been rearranged"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs102
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences63
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount651
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.021505376344086023
lyAdverbCount2
lyAdverbRatio0.0030721966205837174
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences63
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences63
mean12.51
std8.5
cv0.68
sampleLengths
033
114
211
319
44
59
62
714
835
919
107
117
1212
131
146
1520
1615
1713
187
1911
2017
2111
226
236
2424
252
2612
275
2815
2927
306
3125
3216
335
344
3510
362
3728
3823
397
4020
4119
4219
434
4411
4538
4614
477
486
498
77.78% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.5238095238095238
totalSentences63
uniqueOpeners33
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences46
matches(empty)
ratio0
37.39% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences46
matches
0"Her watch strap clung cold"
1"He didn't need to."
2"He had known she was"
3"He swung left off the"
4"She caught herself on an"
5"She didn't bother lowering her"
6"He stopped at the mouth"
7"He held them up, palms"
8"She didn't look at the"
9"She kept her eyes on"
10"Her thumb hovered over the"
11"He drew his hand from"
12"It smelled of wet earth,"
13"Her mind went back to"
14"Her superiors had filed it"
15"She had filed it under"
16"He didn't hurry."
17"He simply waited, the token"
18"She looked at her wet"
19"Her pulse slowed into the"
ratio0.457
57.83% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences46
matches
0"The rain had been falling"
1"Harlow Quinn ran with her"
2"Her watch strap clung cold"
3"He didn't need to."
4"He had known she was"
5"He swung left off the"
6"Canal water slapped against the"
7"Quinn's soles skidded on the"
8"She caught herself on an"
9"She didn't bother lowering her"
10"He stopped at the mouth"
11"Rain ran off his curls"
12"He held them up, palms"
13"She didn't look at the"
14"She kept her eyes on"
15"Her thumb hovered over the"
16"He drew his hand from"
17"A bone, polished smooth by"
18"Something moved behind his face."
19"Quinn moved forward, boots loud"
ratio0.804
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences46
matches(empty)
ratio0
60.44% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount3
matches
0"Two weeks ago she had watched those hands stitch a man on the floor of a Soho pub, blood running into the grout, the man's eyes rolling towards something that w…"
1"Between two fingers he held a small pale token on a cord of frayed black thread, carved with a row of notches that caught the sodium light."
2"She looked at her wet hands, at the watch that had stopped keeping time the night Morris died, at the rain rolling off the arch above her."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences16
tagDensity0.188
leniency0.375
rawRatio0
effectiveRatio0
84.9949%