Run: 2026-10-09-01M4FZWN0VK7EK4PGN0TVHXZJR

Run Details

Duration:
19.2s
Cost:
$0.001546
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 Tube station had been dead since 1984, or so the plaque on the fence claimed, but someone had kept the lights burning down the escalator shaft. Harlow Quinn counted six of them before the stairwell bent out of sight, each one flickering a different shade of sickly yellow. Water ran down the tiled walls in thin, patient sheets. The air tasted of wet pennies and old diesel. Constable Ray Pollard waited at the bottom of the stairs with his torch angled at the floor. He had the grey, overcautious face of a man who had already been sick once and was deciding whether to go again. "Ma'am." "Where is he?" "Platform two. Or what's left of it." Pollard swung the torch toward a gap in the hoardings. "Nobody's touched him since we arrived. Sergeant Dunne wanted to wait for you." Quinn pulled a pair of nitrile gloves from her coat pocket and worked them on, one finger at a time. Her watch, the old leather strap gone soft and dark with eighteen years of wear, slid down toward her knuckle. She pushed it back up. "Did Dunne say why he's down here instead of in a flat in Kentish Town?" "He said it's the cleanest scene he's ever seen, ma'am." "Cleanest." "Yes, ma'am." She stepped through the gap. The platform stretched in both directions, its advertising panels peeled to strips and the ceiling ribs sweating. Someone had laid out a line of white chalk along the edge of the tracks, neat as a surveyor's string, and inside it stood a row of small iron dishes. Each held a dull, grey powder. Beyond them, against the far wall, a man sat with his back to the tiles and his legs folded under him like a child at story time. His eyes were open. His mouth was open too, as though he'd been about to tell someone something he thought was obvious. Detective Sergeant Gareth Dunne stood beside the body with his hands in his pockets. He was a broad man, thick through the neck, and he had the look of someone who had been waiting for a sensible explanation to arrive so he could stop thinking about this one. "Quinn. Took your time." "Traffic on Chalk Farm Road. What have we got?" "Mid-forties, male, no ID. Hasn't been robbed, the wallet's in his jacket with three hundred quid still in it." Dunne nodded at the dishes. "Those were set out after he died, we reckon. Arranged. Nobody's walking through chalk to lay out a tidy row of bowls and then walk out again." "And the water?" "Rain's been coming through the roof all evening. Platform's flooded at the far end. Should have soaked everything." Quinn crouched at the edge of the chalk line without crossing it. The tiles around her were slick and dark, pooled in the grout. The man's shoes were dry. Not damp, not spattered. Dry as a church Bible. His trousers had a faint dusting of the grey powder across the knees, and his palms, when she tilted her head to look, were clean of everything except a thin white crescent under each fingernail. "Who found him?" "Night security from the council. Paid to walk the perimeter. Says the gate was locked when he came on and the lock's still locked now." "And the way in?" "There's a stairwell past the ticket hall. Crumbled half away. Only one set of footprints on the stairs." Dunne sighed. "Ours, mostly. Mud on the bottom steps. Nothing in the tunnel itself." Quinn leaned closer to the body. "Look at his collar." Dunne frowned. "What about it?" "Stitching's coming loose on the left side. Somebody's pulled something off that button hole. Maybe a pin. Maybe a token on a cord." "Could be anything." "It could." She let her gaze travel slowly along the wall above the body, following the grime lines that marked where water had run for years. Then she stopped. A rectangle on the tiles, a shade cleaner than the surrounding grime, roughly the size of a playing card. Something had hung there. Something had hung there long enough to keep the damp off, and then been taken away. "Dunne, has anybody checked for a missing item near the body?" "We've photographed everything." "Photographed what's here. Not what isn't." Her colleague sighed through his nose. "All right, Quinn. Go on, then. Enlighten me." She stood and brushed the knees of her trousers, which made no difference at all. "Your man was sitting here when he died. He wasn't dragged. Heels are clean, and there are no scuffs on the floor behind him. He was alone. Someone else built this circle, and they built it with care. Nobody sets up dishes like that in a hurry." "Or he set them up himself. High on something. Plenty of nutters around Camden with a taste for mushrooms and candles." "Then where's the residue?" Quinn pointed at the nearest dish. "Mushroom, herbs, anything at all would have gone brown or gummy in the damp. That powder hasn't even clumped, and it's been sat in a leaking tunnel for hours. Somebody made sure it stayed dry." Dunne opened his mouth, closed it, and then shrugged in a way that suggested he'd been about to agree and resented it. "Doesn't mean it isn't drugs." "No. It doesn't." She turned slowly, studying the platform's far end, where the water lay black and flat between the rails. "But I'm looking at the footprints, and I'm not seeing his. He walked in dry. Somebody carried him in, or he came in through a door we haven't found yet. The security guard says the gate was locked, and the stairs only go one way." "So the guard's lying, or we've got a bloody ghost." "Or the guard's telling the truth, and the way in is somewhere else." She stepped carefully along the chalk line, keeping her eyes on the floor. Near the third dish, a small scratch in the tile caught the light. It wasn't a stain or a crack. It looked like a shallow groove, perfectly circular, the kind of mark a compass point or a bone token might leave if it were set down and dragged a few inches before being lifted away. Nearby, pressed into the grout, lay a single fibre of thread, dark blue, catching the yellow light like a tiny wire. Quinn stooped and pinched it between two gloved fingers. She held it up to the nearest bulb and watched it shimmer. "Dunne." "What now?" "Get me the security log for this gate. Every swipe, every visitor, the lot. And find out who runs the place before the council started paying a man to sit in a booth at the top of the stairs." Dunne looked at the thread, then at her. "You've got something." "I've got a question." She let the fibre drop into an evidence bag Pollard held open without being asked. "Why would anyone come down here dressed to leave no trace, and then leave one anyway?"
created_at"2026-10-09T09:28:43.81Z" 10/9/2026, 9:28:43 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2334
moderation_latency(null)
generation_time19186
tokens_prompt1112
tokens_completion1930
native_tokens_prompt1597
native_tokens_completion2772
native_tokens_completion_images(null)
native_tokens_reasoning467
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"
usage0.0015457
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791538123-wf4IrluInxwk1Asg97sA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791538123-TTHHg3XWYh21qDIURfOd"
upstream_id"msg_011CfrRit924TfGTed9mbbN8"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfrRit924TfGTed9mbbN8"
is_byokfalse
latency731
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0015457
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
totalTags7
adverbTagCount1
adverbTags
0"She turned slowly [slowly]"
dialogueSentences43
tagDensity0.163
leniency0.326
rawRatio0.143
effectiveRatio0.047
82.99% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1176
totalAiIsmAdverbs4
found
0
adverb"slowly"
count2
1
adverb"carefully"
count1
2
adverb"perfectly"
count1
highlights
0"slowly"
1"carefully"
2"perfectly"
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)
wordCount1176
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
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)
analyzedSentences84
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1176
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions20
wordCount671
uniqueNames8
maxNameDensity0.89
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Dunne"
discoveredNames
Tube1
Quinn6
Ray1
Pollard3
Sergeant1
Gareth1
Dunne6
Bible1
persons
0"Quinn"
1"Ray"
2"Pollard"
3"Sergeant"
4"Gareth"
5"Dunne"
places(empty)
globalScore1
windowScore1
82.43% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences37
glossingSentenceCount1
matches
0"looked like a shallow groove, perfectly c"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1176
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences84
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean26.13
std26.39
cv1.01
sampleLengths
068
139
21
33
430
560
610
71
82
95
10102
1148
124
139
1451
153
1618
1773
183
1925
204
2132
2210
235
2423
253
2668
2711
283
296
3014
3162
3221
3345
3427
3566
3610
3713
3889
3921
401
412
4239
4311
4435
83.33% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences48
matches
0"been taken"
1"being lifted"
2"being asked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs103
matches
0"was deciding"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences84
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount671
adjectiveStacks0
stackExamples(empty)
adverbCount20
adverbRatio0.029806259314456036
lyAdverbCount6
lyAdverbRatio0.00894187779433681
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences84
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences84
mean14
std10.71
cv0.765
sampleLengths
027
122
210
39
417
522
61
73
817
913
1020
1120
125
1315
1410
151
162
175
1817
1930
206
2127
224
2318
2414
2534
264
279
2824
2927
303
3118
3212
3312
345
354
365
3735
383
3925
404
4120
4212
436
444
452
463
4723
483
4926
95.24% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.6666666666666666
totalSentences84
uniqueOpeners56
72.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences46
matches
0"Then she stopped."
ratio0.022
72.17% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences46
matches
0"He had the grey, overcautious"
1"Her watch, the old leather"
2"She pushed it back up."
3"She stepped through the gap."
4"His eyes were open."
5"His mouth was open too,"
6"He was a broad man,"
7"His trousers had a faint"
8"She let her gaze travel"
9"Her colleague sighed through his"
10"She stood and brushed the"
11"She turned slowly, studying the"
12"She stepped carefully along the"
13"It wasn't a stain or"
14"It looked like a shallow"
15"She held it up to"
16"She let the fibre drop"
ratio0.37
25.22% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences46
matches
0"The Tube station had been"
1"Harlow Quinn counted six of"
2"Water ran down the tiled"
3"The air tasted of wet"
4"Constable Ray Pollard waited at"
5"He had the grey, overcautious"
6"Pollard swung the torch toward"
7"Quinn pulled a pair of"
8"Her watch, the old leather"
9"She pushed it back up."
10"She stepped through the gap."
11"The platform stretched in both"
12"Someone had laid out a"
13"Each held a dull, grey"
14"His eyes were open."
15"His mouth was open too,"
16"Detective Sergeant Gareth Dunne stood"
17"He was a broad man,"
18"Dunne nodded at the dishes"
19"Quinn crouched at the edge"
ratio0.87
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences46
matches(empty)
ratio0
85.71% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount2
matches
0"He had the grey, overcautious face of a man who had already been sick once and was deciding whether to go again."
1"He was a broad man, thick through the neck, and he had the look of someone who had been waiting for a sensible explanation to arrive so he could stop thinking a…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Dunne sighed (sigh)"
dialogueSentences43
tagDensity0.023
leniency0.047
rawRatio1
effectiveRatio0.047
89.9855%