Run: 2026-10-08-01M4DAGDZ9G1693EP5RPPB2AME

Run Details

Duration:
18.7s
Cost:
$0.001553
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 hoarding at the top of the stairs had been peeled back just far enough for a body to slip through, and someone had already done it twice. Harlow Quinn ducked under the tape and let the cold reach her face. Below, the air smelled of wet brick, old iron and something sweeter underneath, like fruit left too long in a bowl. "Mind the third step," said Constable Ruiz from the landing. "It's gone soft." "Everything down here has gone soft." Quinn tested the step with her heel before trusting her full weight to it. "Who found him?" "Engineers from the council. They were surveying for the flood works. Came down to check the shaft and found him sitting on the platform bench, facing the tracks, like he was waiting for a train." "No train has run through here since 1959." "That's what the engineer said, ma'am. Word for word." The platform opened out under a vaulted ceiling. Tiles the colour of weak tea ran along the walls, and somebody had painted a station name over them decades ago, now flaking to nothing. Work lamps had been rigged on tripods, and their white glare threw every shadow hard and black. Quinn counted three uniforms, a photographer crouched by the tracks, and a man in a grey suit standing with his hands in his pockets as though the place belonged to him. Detective Inspector Owen Price turned at the sound of her heels. He looked as though he had been awake since the previous week. "Harlow. Thought they'd send you. You're the only one who likes basements." "Tube stations aren't basements, Owen." "Tell that to the damp." He lifted a hand toward the bench. "Our man. Name's Declan Hale, forty-four, wallet says he's an architect from Hampstead. No obvious wounds. No signs of a struggle. I'd say heart, or he took something he shouldn't have and got lost on the way home. People come down here to do things they wouldn't do in daylight." Quinn did not answer him. She walked the length of the platform with her hands clasped behind her back, the way she had walked the length of a hundred crime scenes, and let her eyes travel the floor before they landed on the body. The dust on the platform lay thick, grey and even, the kind of layer that held a footprint like wet clay. Her own boots had left marks behind her. Ruiz's had too. But the only prints running from the stairs were those of the engineers, two sets, both made by heavy work boots, and they stopped a full six feet short of the bench. "Did anyone walk up to him?" she asked. "Engineers went to him once they saw he was dead," Price said. "Couple of steps, then they backed off." "Then who sat him down?" Price opened his mouth and closed it again. Quinn crouched beside the bench. Hale's shoes were polished black oxfords, and the leather was dry. Not damp. Not even faintly grey at the toes. The floor beneath the bench had a dark ring where water had pooled, and the water was still seeping from a crack in the tiles, but nothing had touched the soles of his feet. "He didn't walk down here," she said. "Someone carried him, or he arrived somewhere he hadn't been before." "Or he came down the stairs at some point," Price said, "and the dust has been disturbed by something we can't see. Harlow, I've got a dead man and a lot of paperwork. Don't give me ghosts." "I'm not giving you anything. I'm telling you what the floor says." Quinn studied Hale's hands. They rested palm up in his lap, fingers loosely curled, as if he had been holding something small and had let it go. In the right palm sat a pale green stain, a crust of verdigris along the edge of something round and flat. She tilted her head, angled her torch, and saw the brass. "Don't touch it yet," she said. Ruiz had his gloves on before she finished the sentence. He eased the object from the dead man's fingers and held it up to the light. A small brass compass, no bigger than a pocket watch, its lid engraved with a ring of marks that were not quite letters and not quite symbols. The glass was cracked across one corner. "Tourist trinket," Price said. "Those stalls on Camden High Street sell them by the bucket. Nobody needs a compass in the Tube." "Open it," Quinn said. Ruiz thumbed the catch. The needle inside was not swinging toward north. It lay quivering, pointing straight down the black mouth of the eastern tunnel, and every time the constable shifted his weight, it turned a little to follow him, as if the thing had been listening. Nobody spoke for a moment. A drip fell somewhere in the dark and hit the rail with a flat tick. "Battery," said Price. "There's no battery in it, Owen." "Magnet, then. There's a Tube line under us. Sounds like a magnet." Quinn ignored him and looked at the dead man's face. The eyes were open, the pupils wide and unfocused, and a faint silver line ran along the rim of each lid, as if something had dried there. His left wrist was bare. Beside it, on the bench, lay a pale band of skin where a watch had been for years, and a sliver of brown leather caught in the seam of the wood. She stood and looked down the eastern tunnel. The darkness there was not quite the same as the darkness elsewhere. It seemed to have depth, and a faint draught moved from it across her face, carrying the sweet, rotten smell again. "Price," she said. "Who's been down this tunnel since the engineers?" "Nobody. The gate's chained." "Then tell me why the chain is hanging open." The inspector turned. The padlock dangled from its hasp, its shackle sprung. Quinn looked at it, then at the compass needle still pointing at the tunnel, then at the bare patch of skin on the dead man's wrist, and she felt the old, familiar cold settle in her chest, the feeling that came before a case began to turn over and show its underside.
created_at"2026-10-08T08:36:34.417Z" 10/8/2026, 8:36:34 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5728
moderation_latency(null)
generation_time18621
tokens_prompt1112
tokens_completion1457
native_tokens_prompt1597
native_tokens_completion2787
native_tokens_completion_images(null)
native_tokens_reasoning821
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"
usage0.0015532
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791448594-yU9WdrEL1lf0hE5O2843"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791448594-OQy7xLh0XdIGFMS7zGKY"
upstream_id"msg_011CfpTwHbimK5MKDT8hAWej"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfpTwHbimK5MKDT8hAWej"
is_byokfalse
latency772
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0015532
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)
dialogueSentences30
tagDensity0.3
leniency0.6
rawRatio0
effectiveRatio0
95.23% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1048
totalAiIsmAdverbs1
found
0
adverb"loosely"
count1
highlights
0"loosely"
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)
85.69% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1048
totalAiIsms3
found
0
word"weight"
count2
1
word"familiar"
count1
highlights
0"weight"
1"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
narrationSentences56
matches(empty)
66.33% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences56
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)
analyzedSentences74
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen52
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1048
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
90.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount750
uniqueNames7
maxNameDensity1.2
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Quinn9
Constable1
Ruiz4
Inspector1
Owen1
Price6
Hale2
persons
0"Quinn"
1"Constable"
2"Ruiz"
3"Inspector"
4"Owen"
5"Price"
6"Hale"
places(empty)
globalScore0.9
windowScore1
18.42% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount2
matches
0"not quite letters and not quite symbols"
1"not quite symbols"
2"not quite the same as the darkness elsewhere"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1048
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences74
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs37
mean28.32
std23.79
cv0.84
sampleLengths
062
113
223
335
48
59
681
723
812
95
1062
1144
1264
138
1419
155
168
1759
1818
1937
2012
2159
226
2360
2422
254
2647
2720
283
296
3012
3173
3241
3311
344
359
3664
92.73% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences56
matches
0"been peeled"
1"been rigged"
87.96% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs119
matches
0"was still seeping"
1"was not swinging"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences74
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount750
adjectiveStacks1
stackExamples
0"old, familiar cold settle"
adverbCount24
adverbRatio0.032
lyAdverbCount3
lyAdverbRatio0.004
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences74
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences74
mean14.16
std11.47
cv0.81
sampleLengths
028
113
221
310
43
520
63
735
88
99
108
1125
1217
1331
1411
1512
1612
175
1812
1950
205
2139
2221
238
243
2532
268
2712
287
295
308
315
3211
332
347
3534
367
3711
3837
3912
404
4123
4221
4311
446
4510
4616
4727
487
494
96.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5945945945945946
totalSentences74
uniqueOpeners44
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences46
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences46
matches
0"He looked as though he"
1"He lifted a hand toward"
2"She walked the length of"
3"Her own boots had left"
4"They rested palm up in"
5"She tilted her head, angled"
6"He eased the object from"
7"It lay quivering, pointing straight"
8"His left wrist was bare."
9"She stood and looked down"
10"It seemed to have depth,"
ratio0.239
25.22% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences46
matches
0"The hoarding at the top"
1"Harlow Quinn ducked under the"
2"Quinn tested the step with"
3"The platform opened out under"
4"Tiles the colour of weak"
5"Work lamps had been rigged"
6"Quinn counted three uniforms, a"
7"Detective Inspector Owen Price turned"
8"He looked as though he"
9"He lifted a hand toward"
10"Quinn did not answer him."
11"She walked the length of"
12"The dust on the platform"
13"Her own boots had left"
14"Ruiz's had too."
15"Price opened his mouth and"
16"Quinn crouched beside the bench."
17"Hale's shoes were polished black"
18"The floor beneath the bench"
19"Quinn studied Hale's hands."
ratio0.87
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences46
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount3
matches
0"The dust on the platform lay thick, grey and even, the kind of layer that held a footprint like wet clay."
1"It lay quivering, pointing straight down the black mouth of the eastern tunnel, and every time the constable shifted his weight, it turned a little to follow hi…"
2"The eyes were open, the pupils wide and unfocused, and a faint silver line ran along the rim of each lid, as if something had dried there."
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
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences30
tagDensity0.233
leniency0.467
rawRatio0
effectiveRatio0
83.8485%