Run: 2026-10-08-01M4DAC89T8CHSGVZ2V700D6ED

Run Details

Duration:
15.9s
Cost:
$0.001333
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 Camden Town platform smelled of wet brick and something sweeter underneath, like lilies left too long in a vase. Harlow Quinn stopped at the bottom of the escalator stairs and let her eyes adjust to the sodium glare the scene lamps threw across the tiles. Someone had strung blue tape across the ticket hall, but the tape sagged in the damp, and nobody had bothered to tie it off properly. "You're late, ma'am." DC Tom Hadley came down the last few steps two at a time, his notebook already open. He was twenty-nine and kept his collar buttoned like a man expecting an inspection. "Sorry. Officially, we're not sure this is ours. The Transport lads found him at half five." "Found him where?" "Platform two. Or what's left of it." He waved his pen down the tunnel. "Come and see. Mind the rails." Quinn followed him past the turnstiles, where the gates had been wrenched off their hinges long before anyone had a reason to care. The station had been closed since the nineteen-seventies, or so the signage claimed. Someone had kept it clean enough for the last few decades to pass unnoticed. Now the walls were bare, the advertising slots empty, and the air carried a chill that had nothing to do with the weather above. The body lay on the platform edge with its legs over the drop. A man in his fifties, grey suit, good wool overcoat soaked to the knee. His face had been turned toward the tracks, and somebody had folded his hands neatly across his stomach. "Cause?" Quinn asked. "Looks like a heart attack, which is the first thing the lads said." Hadley crouched beside the body. "But his throat's been cut. Not deep. Clean, though. Could be a blade, could be a bottle edge. Doc's on the way." Quinn did not crouch. She stood at the correct distance, hands behind her back, and studied the platform. The water pooled in dips in the concrete, a thin slick of black that had soaked into the grout. The man's shoes were dry. "Tom." "Ma'am?" "Look at his soles." Hadley leaned in, then straightened with a frown. "He's not been walking through it, then. Maybe he came down the stairs and never went near the puddles." "Maybe." Quinn moved along the platform. "Except there are no footprints on the dry edge either. And the dust on the ledge hasn't been disturbed except where he's lying." "Could've been carried." "Could have." She tilted her head toward the blackened brick of the far wall. "Then explain that." Hadley lifted his torch. A long, curved mark ran up from the tiles and branched like frost across the brickwork. It was not soot. Where the lamplight touched it, the mark looked almost greasy, as if the wall had been scorched without any flame near it. Two dark handprints sat at the base, too small for the man on the floor. "Kids," Hadley said. "Some lads with a flare or whatever." "A flare doesn't leave lines that run uphill." He opened his mouth, shut it, then tried again. "Right. Fair." Quinn crouched at last, the leather of her watch strap creaking against her wrist as she set her palm flat on the tiles beside the body. The concrete was cold enough to ache. She looked at the man's right hand, folded over the left, and saw a small brass object wedged between his fingers. She eased it free with the tip of a pen. A compass. Small enough to sit in a palm, with a casing gone green at the seams in a fine crust of verdigris. The face was etched all over with tiny symbols, spirals and angular marks that might have been letters from an alphabet she didn't know. The needle quivered in its housing, then swung hard toward the sealed arch at the end of the platform, where the old tunnel had been bricked over decades ago. "Ma'am, that's not on the evidence log." "It's on mine now." She held it flat on her palm and watched the needle settle. It did not drift back. It stayed fixed on the bricks as if something behind them were calling its name. "Who do you think he was?" "No ID on him yet. Expensive coat, wedding ring, no wallet." Hadley hesitated. "Could be a dealer. Could be somebody who bought something he shouldn't have." "Could be." Quinn stood and turned the compass over. A thin line of dried residue marked the back of the casing, pale and flaky, the same colour as the bone dust she'd seen once in a crime scene three years ago, in a flat in Hackney where Dan Morris's last notes had been written in a hand that shook more with every line. She pushed the memory aside and kept her voice level. "He didn't fall. He didn't slip. Somebody sat him here and folded his hands for us. Whoever did it wanted him found on this side of the tracks, and wanted us looking at the blade and not at that wall." "A ritual, then?" Hadley said it lightly, the way a man tests ice. "Don't say that word to the Chief Super." Quinn walked toward the sealed arch, the compass pulling in her hand like a dog straining at a lead. "Find out who else has been down here in the last twelve hours. Check the CCTV on Camden High Street, and get someone to pull the maintenance logs for this line. I want to know why a dead station has fresh water in its drains." She stopped in front of the bricks and laid her fingertips against the mortar. It was warm.
created_at"2026-10-08T08:34:17.538Z" 10/8/2026, 8:34:17 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3011
moderation_latency(null)
generation_time15863
tokens_prompt1112
tokens_completion1537
native_tokens_prompt1597
native_tokens_completion2346
native_tokens_completion_images(null)
native_tokens_reasoning552
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"
usage0.0013327
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448457-sjROFT9ougIH3UlMwHxB"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448457-BxDfYaMXsoyBjhtkfCU2"
upstream_id"msg_011CfpTmCMfrPu39y53331ru"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTmCMfrPu39y53331ru"
is_byokfalse
latency777
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0013327
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences31
tagDensity0.387
leniency0.774
rawRatio0
effectiveRatio0
94.74% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount950
totalAiIsmAdverbs1
found
0
adverb"lightly"
count1
highlights
0"lightly"
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)
78.95% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount950
totalAiIsms4
found
0
word"chill"
count1
1
word"stomach"
count1
2
word"etched"
count1
3
word"quivered"
count1
highlights
0"chill"
1"stomach"
2"etched"
3"quivered"
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
narrationSentences48
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences48
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences67
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen54
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords950
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
89.85% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount665
uniqueNames8
maxNameDensity1.2
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden1
Town1
Quinn8
Tom1
Hadley7
Hackney1
Dan1
Morris1
persons
0"Quinn"
1"Tom"
2"Hadley"
3"Dan"
4"Morris"
places
0"Camden"
1"Town"
2"Hackney"
globalScore0.898
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences36
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount950
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences67
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean32.76
std28.99
cv0.885
sampleLengths
071
150
23
320
474
545
63
740
842
91
101
114
1227
1329
143
1517
1661
1710
188
1911
2064
2176
227
2342
2426
25113
2613
2772
2817
54.09% Passive voice overuse
Target: ≤2% passive sentences
passiveCount7
totalSentences48
matches
0"been wrenched"
1"been closed"
2"been turned"
3"been scorched"
4"was etched"
5"been bricked"
6"been written"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs108
matches
0"were calling"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences67
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount667
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.03298350824587706
lyAdverbCount3
lyAdverbRatio0.004497751124437781
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences67
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences67
mean14.18
std10.37
cv0.731
sampleLengths
020
126
225
320
414
516
63
714
86
923
1013
1114
1224
1313
1414
1518
163
1718
1822
194
2014
2119
225
231
241
254
268
2719
286
2923
303
3114
323
334
3416
354
3622
3715
383
397
408
419
422
4326
447
4521
4610
472
4821
4924
79.10% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.5373134328358209
totalSentences67
uniqueOpeners36
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences44
matches(empty)
ratio0
83.64% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount15
totalSentences44
matches
0"He was twenty-nine and kept"
1"He waved his pen down"
2"His face had been turned"
3"She stood at the correct"
4"She tilted her head toward"
5"It was not soot."
6"He opened his mouth, shut"
7"She looked at the man's"
8"She eased it free with"
9"She held it flat on"
10"It did not drift back."
11"It stayed fixed on the"
12"She pushed the memory aside"
13"She stopped in front of"
14"It was warm."
ratio0.341
5.45% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences44
matches
0"The Camden Town platform smelled"
1"Harlow Quinn stopped at the"
2"Someone had strung blue tape"
3"DC Tom Hadley came down"
4"He was twenty-nine and kept"
5"He waved his pen down"
6"Quinn followed him past the"
7"The station had been closed"
8"Someone had kept it clean"
9"The body lay on the"
10"A man in his fifties,"
11"His face had been turned"
12"Hadley crouched beside the body"
13"Quinn did not crouch."
14"She stood at the correct"
15"The water pooled in dips"
16"The man's shoes were dry."
17"Hadley leaned in, then straightened"
18"Quinn moved along the platform"
19"She tilted her head toward"
ratio0.909
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences44
matches
0"Now the walls were bare,"
ratio0.023
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences26
technicalSentenceCount1
matches
0"A thin line of dried residue marked the back of the casing, pale and flaky, the same colour as the bone dust she'd seen once in a crime scene three years ago, i…"
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount2
matches
0"DC Tom Hadley came, his notebook already open"
1"Hadley said, the way a man tests ice"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences31
tagDensity0.097
leniency0.194
rawRatio0
effectiveRatio0
87.5830%