Run: 2026-10-08-01M4DA01MRR8BN5VS6WWMX3GR8

Run Details

Duration:
14.3s
Cost:
$0.001152
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 settled into the gutters of Camden High Street, and every streetlamp smeared into a sodden yellow bloom. Harlow Quinn kept her eyes on the grey coat ahead of her, forty metres off and closing on the corner where the pub's neon had died years ago. Her left wrist ached under the leather strap of her watch. Water ran off her cropped hair and into her collar, and she let it. Tomás Herrera did not look back. He never looked back. That was the first thing she'd noticed about him in the Nest's back room three weeks ago, when he'd stitched a man's hand with a sewing kit and a bottle of cheap gin while the man's friends stood around pretending not to be frightened. "Herrera!" Her voice cracked off the shopfronts. "Stop walking. Stop now and I won't put you on the pavement." He broke into a run. Quinn ran too. Her shoes slid on the wet paving stones, and she caught herself on a bollard, the cold metal biting her palm. Eighteen years of service had taught her the body kept score. Her knees filed their complaints, and she ignored every one. He cut left past the fishmonger's shutters and down a gap between two buildings she'd have sworn was a dead end. She reached the mouth of it a second later. Brick on both sides, a rusted drainpipe, and at the far end a wrought-iron gate hanging open on one hinge. Beyond it, steps led down into darkness, and cold air rose from them that smelled of wet stone, old coal, and something sweeter underneath. Like flowers left too long in a vase. "You don't want to go down there," Herrera called. He stood on the third step, one hand braced against the railing. The scar on his left forearm showed pale in the lamplight where his sleeve had ridden up. The Saint Christopher medallion swung free of his shirt and caught what light there was. "Detective, please. Go back to the street." "You don't get to tell me what I want." She drew her warrant card and held it up so he could see the crest. "Three years I've been chasing whatever took Dan Morris. Three years of dead ends and men who won't look at me. You're the first one who's stood still long enough to be useful. Come up here and talk to me." "I'm not the one you want." He glanced over his shoulder, down into the dark, then back at her. His breath clouded between them. "They'll know I brought you. They'll know by the time we reach the bottom." "Who will?" He didn't answer. Instead he reached into his coat pocket, pulled something free, and held it up between two fingers. A small, yellowed disc, pitted and carved with a spiral she couldn't quite focus on. Even from the top of the steps she could see it caught the light the wrong way, drinking it in instead of reflecting it. "Bone token," he said. "Without it, the door won't open. With it, they'll let you pass, and maybe they'll let you leave." He tucked the token back into his coat. "I have one. You don't." Quinn took two steps forward. Gravel shifted under her heel. The gate creaked on its single hinge, a thin, patient sound, like something in the dark had leaned against it to listen. "Then give me yours," she said. "No." "Tomás, you're a licensed man without a licence, you've treated patients who should have been in hospital wards with proper records, and the last man you patched up died in a flat in Kilburn with his chest open. I can put you in a cell tonight. Or you can walk me through that door, and I'll write it down as cooperation." He laughed, short and hollow. "Cooperation. Is that what you call it? Writing down the names of people who only wanted their wounds closed without a file?" He shook his head slowly. "You would have to walk down there alone. I can't hold your hand past the gate. Nobody can." The cold pressed against her face. Somewhere below, water dripped in a steady rhythm, and under that came a faint murmur of voices, bargaining, laughing, the clink of glass. The sweet smell thickened. Quinn thought of Morris, the last time she'd seen him alive, grinning through a gap in a stairwell door with his radio crackling in his hand. *Stay with me, Harlow, don't go in without backup.* She had waited for backup that night. She had counted the seconds on her watch while he didn't come out. Her thumb found the worn leather strap and turned it. Eleven minutes past nine. The rain kept falling. Herrera waited on the third step, the token hidden against his chest, eyes steady on hers, not pleading now. Just waiting, the way a man waits when he already knows which way the choice will fall. She looked at the stairs. She looked at him. "Last chance," she said. "Tell me what's down there, or I go down blind."
created_at"2026-10-08T08:27:37.522Z" 10/8/2026, 8:27:37 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2989
moderation_latency(null)
generation_time14241
tokens_prompt1104
tokens_completion1387
native_tokens_prompt1576
native_tokens_completion1988
native_tokens_completion_images(null)
native_tokens_reasoning424
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"
usage0.0011516
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448057-Va4Ee4j3Bx5074ErkVzJ"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448057-LUKLyXl7Qy9TV2N8F6nH"
upstream_id"msg_011CfpTFiK9oFMfyX3chYhtE"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTFiK9oFMfyX3chYhtE"
is_byokfalse
latency792
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0011516
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
totalTags9
adverbTagCount0
adverbTags(empty)
dialogueSentences19
tagDensity0.474
leniency0.947
rawRatio0
effectiveRatio0
94.12% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount851
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount851
totalAiIsms0
found(empty)
highlights(empty)
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
narrationSentences51
matches(empty)
86.83% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences51
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences61
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen61
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords9
totalWords851
ratio0.011
matches
0"Stay with me, Harlow, don't go in without backup."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions16
wordCount610
uniqueNames10
maxNameDensity0.66
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Quinn4
Herrera3
Nest1
Saint1
Christopher1
Morris1
Harlow2
persons
0"Quinn"
1"Herrera"
2"Saint"
3"Christopher"
4"Morris"
5"Harlow"
places
0"Camden"
1"High"
2"Street"
3"Nest"
globalScore1
windowScore1
74.24% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences33
glossingSentenceCount1
matches
0"quite focus on"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount851
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences61
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean38.68
std24.22
cv0.626
sampleLengths
073
154
219
35
445
582
660
764
838
92
1059
1135
1232
136
141
1561
1650
1733
1855
1954
209
2114
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences51
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs99
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences61
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount611
adjectiveStacks1
stackExamples
0"cold pressed against her"
adverbCount13
adverbRatio0.02127659574468085
lyAdverbCount1
lyAdverbRatio0.0016366612111292963
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences61
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences61
mean13.95
std11.03
cv0.791
sampleLengths
020
128
211
314
46
54
644
77
812
95
103
1121
1211
1310
1421
159
1620
1724
188
199
2012
2117
2215
237
2424
2540
2619
275
2814
292
303
3117
3215
3324
344
3526
365
375
385
3922
406
411
4261
435
4427
4518
466
4723
484
4926
96.72% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.6065573770491803
totalSentences61
uniqueOpeners37
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences47
matches
0"Instead he reached into his"
1"Somewhere below, water dripped in"
2"Just waiting, the way a"
ratio0.064
49.79% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences47
matches
0"Her left wrist ached under"
1"He never looked back."
2"Her voice cracked off the"
3"He broke into a run."
4"Her shoes slid on the"
5"Her knees filed their complaints,"
6"He cut left past the"
7"She reached the mouth of"
8"He stood on the third"
9"She drew her warrant card"
10"He glanced over his shoulder,"
11"His breath clouded between them."
12"He didn't answer."
13"He tucked the token back"
14"He laughed, short and hollow."
15"He shook his head slowly"
16"She had counted the seconds"
17"Her thumb found the worn"
18"She looked at the stairs."
19"She looked at him."
ratio0.426
55.74% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount38
totalSentences47
matches
0"The rain had settled into"
1"Harlow Quinn kept her eyes"
2"Her left wrist ached under"
3"Water ran off her cropped"
4"Tomás Herrera did not look"
5"He never looked back."
6"That was the first thing"
7"Her voice cracked off the"
8"He broke into a run."
9"Quinn ran too."
10"Her shoes slid on the"
11"Her knees filed their complaints,"
12"He cut left past the"
13"She reached the mouth of"
14"Brick on both sides, a"
15"He stood on the third"
16"The scar on his left"
17"The Saint Christopher medallion swung"
18"She drew her warrant card"
19"He glanced over his shoulder,"
ratio0.809
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences47
matches
0"Even from the top of"
ratio0.021
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount1
matches
0"Beyond it, steps led down into darkness, and cold air rose from them that smelled of wet stone, old coal, and something sweeter underneath."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences19
tagDensity0.211
leniency0.421
rawRatio0
effectiveRatio0
95.0485%