Run: 2026-10-09-01M4FZZZSBBZ81EGQ6Y62K9JKJ

Run Details

Duration:
17.5s
Cost:
$0.001426
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 Northern line platform at Camden had been sealed for longer than Harlow Quinn had been a detective, and the tiles still wore the cream and green of a station nobody had bothered to repaint. Water dripped from the vaulted ceiling in slow, deliberate beats. Somewhere beyond the hoarding a generator coughed, then fell silent. Quinn stepped over the tape that someone had strung between two rusted pillars. Her boots found the dry strip along the platform edge. The rest of the floor glistened with a black film of tunnel water. "Before you start," DC Owen Pryce said, falling into step beside her, "it's not what it looks like." "Then tell me what it looks like, Owen." "Looks like a bloke who went down to a disused station to score something and didn't come back up." He rubbed the back of his neck. "Overdose. Maybe a bad batch. There's a kit by the bench." She didn't answer. She was looking at the body. He sat against the far wall beneath a faded advertisement for a West End musical that had closed before Quinn had finished primary school. His legs were stretched straight in front of him. His hands rested in his lap, palms up, fingers loose. Someone had closed his eyes. Someone had done it carefully, pressing the lids down with the pads of two fingers, the way Quinn's mother used to do for the dead on the rare occasions she'd talked about them. "Who found him?" Quinn asked. "Urban explorer lot. They post everything online. One of them filmed him through the grate on the Hampstead side and rang it in at six this morning." "Filmed him from the tunnel?" "From the stairwell, I think." "Think, or know?" Pryce's jaw tightened. "Know." Quinn crouched at the edge of the dry strip and studied the water. The surface had settled into a mirror, reflecting the single work light and the stained ceiling. She looked for the ripples a boot would leave, the smear of a sole dragged through grime. Nothing reached from the tunnel mouth to the bench. Nothing reached from the bench to the body. "He's dry," she said. "Sorry?" "His boots. His trousers. Look at the hems. The tunnel's flooded to the knee at the stairs, and there's a puddle big enough to drown a child right in front of him, and not a drop on him." She stood. "Either he came in some other way, or somebody carried him in and laid him out before the water got this high." Pryce exhaled through his nose. "Or he sat down, got high, and the damp dried off him. This place is like an oven when the pumps kick in." "Then the damp should have dried off the bench too." She pointed at the wooden seat beside the body. A thin rime of grey dust covered every slat, unbroken except for a clean rectangle where something had rested for a long time. "Nobody's sat there in years. But the dust on his shoulders has been brushed. Look at the seam of his coat. Clean stripe, same direction, three times over." Pryce looked. He didn't speak for a moment. "Right," he said at last. "Well. That's not a junkie's brush." "No." She moved closer and took the torch from her belt. The beam caught the dead man's right hand. Something was pressed into his palm, half hidden by the curl of his fingers. Quinn knelt, careful not to disturb the lay of the body, and eased the fingers open with a gloved thumb. A bone token, yellowed and smooth, carved with a spiral that ended in three short lines. It sat in his palm as neatly as a coin in a collection tray. "Where'd that come from?" Pryce asked. "Where do you think?" "Don't start." "I'm not starting anything." She looked at the token and then at his palm. The skin inside the fingers was pale and unmarked, but a faint line of cold-looking ink ran from the heel of his hand toward the wrist, as if someone had traced a sigil there and the body had washed most of it away. "Whoever put that in his hand wanted it found. Or wanted him to hold it for someone to find." Her left wrist was bare of anything except the worn leather strap of her watch. She noticed the hour without meaning to. Ten past eleven. The second hand swept on, stubbornly, and she thought of the watch stopping three years ago, when DS Morris had died in a place that wouldn't show up on any report. She shook the thought loose. Behind the bench, a small brass object had slid into the gap between two tiles. Quinn reached for it with a pen, lifted it free, and held it up to the torch. A compass, no bigger than a pocket watch, its casing dulled to a soft green crust along the rim. The face was etched with tight, interlocking marks she didn't recognise, every line worn sharp at the edges. The needle wasn't pointing north. It trembled, swung, and settled on the blank tiled wall at the end of the platform, where a service door had been bricked over and painted to match the rest of the station. Quinn turned the compass in her palm. The needle followed, unhurried, as if it had all the time in the world. "Owen," she said quietly, "tell me again about the kit by the bench." Pryce frowned and started towards it. Quinn didn't move. She kept her eyes on the needle, on the wall, on the dead man's open hand, and began to count the things that didn't belong.
created_at"2026-10-09T09:30:33.138Z" 10/9/2026, 9:30:33 AM
model"anthropic/claude-haiku-5.5-20261007"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3120
moderation_latency(null)
generation_time17497
tokens_prompt1112
tokens_completion1667
native_tokens_prompt1597
native_tokens_completion2532
native_tokens_completion_images(null)
native_tokens_reasoning767
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"
usage0.0014257
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1791538233-IuHuV13qVGB9n952QmTL"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1791538233-zZ8iEVtHMuLU4s2Kyfpo"
upstream_id"msg_011CfrRrwb7Ppy8jMaEYLuRZ"
provider_responses
0
endpoint_id"b6cdf493-3a61-441f-a134-e7944fddb980"
id"msg_011CfrRrwb7Ppy8jMaEYLuRZ"
is_byokfalse
latency780
model_permaslug"anthropic/claude-haiku-5.5-20261007"
provider_name"Claude Platform on AWS"
status200
total_cost0.0014257
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
totalTags10
adverbTagCount1
adverbTags
0"she said quietly [quietly]"
dialogueSentences26
tagDensity0.385
leniency0.769
rawRatio0.1
effectiveRatio0.077
94.72% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount947
totalAiIsmAdverbs1
found
0
adverb"carefully"
count1
highlights
0"carefully"
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)
84.16% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount947
totalAiIsms3
found
0
word"traced"
count1
1
word"etched"
count1
2
word"trembled"
count1
highlights
0"traced"
1"etched"
2"trembled"
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)
40.82% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences56
filterMatches
0"watch"
hedgeMatches
0"started to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences72
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords947
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount681
uniqueNames9
maxNameDensity1.47
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Northern1
Camden1
Harlow1
Quinn10
Owen1
Pryce6
West1
End1
Morris1
persons
0"Harlow"
1"Quinn"
2"Owen"
3"Pryce"
4"Morris"
places
0"West"
1"End"
globalScore0.766
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences41
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount947
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences72
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean27.06
std25.77
cv0.953
sampleLengths
055
136
218
38
437
59
681
75
827
95
105
113
124
1363
144
151
1662
1728
1870
198
2011
211
2252
2330
246
254
262
2776
2856
295
3069
315
3254
3313
3434
73.93% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences56
matches
0"been sealed"
1"were stretched"
2"was pressed"
3"was etched"
4"been bricked"
80.95% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs112
matches
0"was looking"
1"wasn't pointing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences72
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount682
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.017595307917888565
lyAdverbCount4
lyAdverbRatio0.005865102639296188
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences72
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences72
mean13.15
std9.83
cv0.748
sampleLengths
035
110
210
313
410
513
618
78
826
911
103
116
1224
139
1410
155
1633
175
1827
195
205
213
223
231
2413
2516
2617
279
288
294
301
3140
3222
335
3423
3519
3623
3728
382
396
405
416
421
4310
448
4514
4620
4716
4814
496
79.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.5277777777777778
totalSentences72
uniqueOpeners38
65.36% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences51
matches
0"Somewhere beyond the hoarding a"
ratio0.02
63.14% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences51
matches
0"Her boots found the dry"
1"He rubbed the back of"
2"She didn't answer."
3"She was looking at the"
4"He sat against the far"
5"His legs were stretched straight"
6"His hands rested in his"
7"She looked for the ripples"
8"She pointed at the wooden"
9"He didn't speak for a"
10"he said at last"
11"She moved closer and took"
12"It sat in his palm"
13"She looked at the token"
14"Her left wrist was bare"
15"She noticed the hour without"
16"She shook the thought loose."
17"It trembled, swung, and settled"
18"she said quietly"
19"She kept her eyes on"
ratio0.392
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences51
matches
0"The Northern line platform at"
1"Water dripped from the vaulted"
2"Quinn stepped over the tape"
3"Her boots found the dry"
4"The rest of the floor"
5"DC Owen Pryce said, falling"
6"He rubbed the back of"
7"She didn't answer."
8"She was looking at the"
9"He sat against the far"
10"His legs were stretched straight"
11"His hands rested in his"
12"Someone had closed his eyes."
13"Someone had done it carefully,"
14"Pryce's jaw tightened."
15"Quinn crouched at the edge"
16"The surface had settled into"
17"She looked for the ripples"
18"Nothing reached from the tunnel"
19"Nothing reached from the bench"
ratio0.941
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences51
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences28
technicalSentenceCount1
matches
0"The skin inside the fingers was pale and unmarked, but a faint line of cold-looking ink ran from the heel of his hand toward the wrist, as if someone had traced…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount0
fancyTags(empty)
dialogueSentences26
tagDensity0.231
leniency0.462
rawRatio0
effectiveRatio0
84.9792%