Run: 2026-07-25-01KYCRHAXSBJY3VMDWTYKTT4V1

Run Details

Duration:
54.8s
Cost:
$0.084400
Provider:
Amazon Bedrock

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 stairwell had been screwed shut in 1996, according to the Transport for London plate, and nobody had bothered to unscrew it since. Quinn crouched and put her torch beam on the heads of the screws. Paint sat in the grooves, unbroken, a skin of council magnolia gone the colour of old teeth. "You came in this way?" she asked. "Through the ventilation shaft off Hawley Crescent." DS Priya Nayar had her hands in her coat pockets and a smear of soot along one cheekbone. "There's a ladder. It's a forty-minute walk from there to the platform. I've done it twice tonight and I'd rather not do it a third." "Then we walk it." The shaft breathed cold air up at them, the wrong kind of cold for the second week of July. Quinn went down the ladder first, counting rungs out of habit, and at the bottom the tunnel opened into brick and cable and the smell of iron. Her torch found rails long since lifted, sleepers rotted into black lines. Dust lay on everything, fine as flour, and the only prints in it were the ragged double-track of Nayar's boots. "Nobody else has been through here?" "Uniform came in behind me. Then the doctor. Then the photographer, who complained the entire way." Nayar ducked a hanging festoon of cable. "Before that, only whoever found him." "And who found him?" "That's the awkward part." "Say it anyway." "Anonymous call, 2:14 this morning. Female, no number, said there was a dead man on the eastbound platform at the old Camden Deep and that we'd want to hurry. Then she hung up. Control thought it was a wind-up until they pulled the plans and found there was a Camden Deep." Quinn stopped walking. "There isn't." "There is if you go back far enough. Half-built shelter platform, 1941, abandoned before it opened. It's not on the modern network at all." "So an anonymous woman knows the name of a station that doesn't exist, and she knows there's a body on it." "She knew something." Nayar's torch swung ahead. "Could be she was down here with him. Rough sleepers get into places you wouldn't believe. Could be a deal went wrong and she panicked and did the decent thing on her way out." "Could be." Quinn started walking again. The platform, when they reached it, was wrong the way a lie is wrong — plausible in every particular and false as a whole. Portable lamps stood on tripods, throwing hard white light onto tiled walls that had never seen a passenger. A tarpaulin lay folded against the far wall. Two uniformed constables stood at the tunnel mouth with the specific stillness of men who wanted to be somewhere else. The body sat with its back against the tiles, legs out straight, hands loose in its lap. Male, fifties, grey stubble, a good wool coat. No obvious wound. Quinn crouched a metre away and did nothing for a full minute. "Doctor's early call is hypothermia," Nayar offered. "Which fits, sort of. It's cold down here." "It's fourteen degrees down here. I checked the ventilation gauge on the way in." Quinn tilted her head. "Look at his fingers." The man's fingertips were black. Not dirt-black. The nails had gone the colour of a bruise and the skin had split at the pads, neat little fissures like the glaze on old pottery. "Frostbite," Nayar said slowly. "Fourth-degree. That's weeks of exposure at proper cold, or minutes at something much worse. And it's on the hands and the ears and nowhere else." Quinn's torch travelled down. "His coat's dry. His shoes are clean." Nayar came closer and swore under her breath. The soles of the dead man's brogues were pale grey, scuffed at the heel, and free of dust. Around him the platform floor wore sixty years of grit — except in a circle, roughly two metres across, where the floor was as clean as if someone had taken a wet cloth to it. "He didn't walk in," Quinn said. "He didn't get carried in either, or there'd be drag marks, or two sets of prints, or something. He's sitting in a clean ring on a filthy platform and there is no route from that ring to any door on this network." "There's got to be another way in. A works adit, a sump—" "Then find it. But before you do, tell me how a man walks half a mile through flour-fine dust and arrives with clean shoes." Nayar had no answer. Quinn hadn't wanted one yet. She moved around the body, keeping outside the clean ring, and stopped at the eleven o'clock position. Something glinted at the edge of the circle where clean met dirty. She pulled a glove tighter and lifted it out with two fingers. A brass compass, small enough to sit in a palm, the casing furred green with verdigris. Sigils cut into the face in a script she didn't recognise — angular, deliberate, not decorative. The needle wasn't a needle. It was a slim black sliver, and it wasn't pointing north. It swung to the tunnel mouth, held, drifted three degrees, held again. "Magnetic interference," Nayar said. "All that cable." "The cable's dead. TfL confirmed it before we came down." Quinn turned slowly on her heel, watching the sliver. It tracked the tunnel mouth the way a dog tracks a hand with food in it, regardless of which way she faced. She set the compass on the platform and stepped back. It turned itself on the tiles, a small scraping sound in the quiet, until the sliver aimed once more at the dark. One of the constables said, "Ma'am," and then stopped, because there was nothing to add to that. "Bag it," Quinn said. "Separately. And don't put it in the van with the photographer's kit." She went back to the man's hands. Under the right one, half hidden by the cuff, lay a chip of something pale. She teased it free. Bone, sanded smooth, drilled through with a hole and stamped with a mark that reminded her, absurdly, of a Tube roundel drawn by someone who had only ever heard one described. Her thumb went still on it. Three years ago, in a flat in Bermondsey, she had knelt beside DS Alan Morris while the paramedics worked on him and lost, and there had been a chip of bone in his jacket pocket that nobody could account for and that had walked out of the evidence store between the Friday and the Monday. She had asked about it eleven times. She had stopped asking on the twelfth, because of the way the Chief Super had said her name. "Quinn?" "His coat." Her voice came out level. "Left inside pocket. Tell me what's in it." Nayar knelt, worked two fingers past the lapel, drew out a folded scrap of paper and read it under her torch. "Tonight's date. Then a word. Threshold, maybe? And a set of numbers — 51.541, minus 0.146." "That's here." "That's here," Nayar agreed. "So he came on purpose. Which supports my version, doesn't it? He came to meet someone, the meet went bad, the woman ran and called it in." "Where's his phone?" "No phone. No wallet, no keys. Robbery, then." "Somebody robs a man in a place nobody can reach, takes his keys and his phone, leaves a wool coat worth four hundred pounds and a brass antique on the floor beside him." Quinn looked up at the tiled wall behind the body. At head height, where the lamps threw the light flattest, the grime had been disturbed. Not writing. A line, drawn with a fingertip, running the full length of the platform at exactly the same height — and under it, at intervals of about a metre, small heaps of something white and granular that the photographer's flash had washed out entirely. Quinn wet her fingertip, touched one heap, touched her tongue. "Salt," she said.
created_at"2026-07-25T13:48:18.753Z" 7/25/2026, 1:48:18 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4552
moderation_latency(null)
generation_time54729
tokens_prompt1112
tokens_completion2165
native_tokens_prompt1595
native_tokens_completion3057
native_tokens_completion_images(null)
native_tokens_reasoning275
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"
usage0.0844
router(null)
provider_responses
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endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNt3R9p1cETcygwQgksM"
is_byokfalse
latency1951
model_permaslug"anthropic/claude-opus-5-20260723"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784987298-tFf1O0A11cVVBdEmccb0"
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api_type"completions"
id"gen-1784987298-XpLwEFGu6v1aupB8OZrq"
upstream_id"msg_011CdNt3R9p1cETcygwQgksM"
total_cost0.0844
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags18
adverbTagCount2
adverbTags
0"Nayar said slowly [slowly]"
1"Quinn turned slowly [slowly]"
dialogueSentences45
tagDensity0.4
leniency0.8
rawRatio0.111
effectiveRatio0.089
92.49% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1331
totalAiIsmAdverbs2
found
0
adverb"slowly"
count2
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)
96.24% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1331
totalAiIsms1
found
0
word"magnetic"
count1
highlights
0"magnetic"
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
narrationSentences66
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences66
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences93
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1336
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount840
uniqueNames14
maxNameDensity1.55
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Nayar"
discoveredNames
Transport1
London1
Priya1
Nayar11
July1
Quinn13
Tube1
Bermondsey1
Alan1
Morris1
Friday1
Monday1
Chief1
Super1
persons
0"Nayar"
1"Quinn"
2"Alan"
3"Morris"
4"Super"
places
0"Transport"
1"London"
2"Bermondsey"
globalScore0.726
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1336
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences93
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs49
mean27.27
std23.45
cv0.86
sampleLengths
059
17
250
34
478
56
629
74
84
93
1051
115
1224
1321
1441
156
1670
1728
1812
1915
2022
2133
224
2336
248
2553
2648
2712
2824
299
3041
3160
327
3373
3417
3516
3657
3786
381
3915
4037
412
4231
433
448
4543
4660
4710
483
94.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences66
matches
0"been screwed"
1"been disturbed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs134
matches
0"wasn't pointing"
19.97% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences93
ratio0.043
matches
0"The platform, when they reached it, was wrong the way a lie is wrong — plausible in every particular and false as a whole."
1"Around him the platform floor wore sixty years of grit — except in a circle, roughly two metres across, where the floor was as clean as if someone had taken a wet cloth to it."
2"Sigils cut into the face in a script she didn't recognise — angular, deliberate, not decorative."
3"A line, drawn with a fingertip, running the full length of the platform at exactly the same height — and under it, at intervals of about a metre, small heaps of something white and granular that the photographer's flash had washed out entirely."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount838
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.026252983293556086
lyAdverbCount9
lyAdverbRatio0.010739856801909307
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences93
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences93
mean14.37
std11.51
cv0.801
sampleLengths
029
113
217
37
425
525
64
719
827
912
1020
116
1223
136
144
154
163
1751
183
192
2024
2121
227
2334
246
2524
2618
278
2820
2917
308
313
3212
337
348
3518
364
375
382
3926
404
4129
427
438
4418
4535
466
4742
4812
4924
84.95% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.5483870967741935
totalSentences93
uniqueOpeners51
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences57
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences57
matches
0"Her torch found rails long"
1"She moved around the body,"
2"She pulled a glove tighter"
3"It was a slim black"
4"It swung to the tunnel"
5"It tracked the tunnel mouth"
6"She set the compass on"
7"It turned itself on the"
8"She went back to the"
9"She teased it free."
10"Her thumb went still on"
11"She had asked about it"
12"She had stopped asking on"
13"Her voice came out level"
ratio0.246
47.72% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount47
totalSentences57
matches
0"The hoarding at the top"
1"Quinn crouched and put her"
2"Paint sat in the grooves,"
3"DS Priya Nayar had her"
4"The shaft breathed cold air"
5"Quinn went down the ladder"
6"Her torch found rails long"
7"Dust lay on everything, fine"
8"Nayar ducked a hanging festoon"
9"Quinn stopped walking."
10"Nayar's torch swung ahead"
11"Quinn started walking again"
12"The platform, when they reached"
13"A tarpaulin lay folded against"
14"The body sat with its"
15"Quinn crouched a metre away"
16"Quinn tilted her head"
17"The man's fingertips were black."
18"The nails had gone the"
19"Nayar said slowly"
ratio0.825
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences57
matches(empty)
ratio0
99.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount2
matches
0"Portable lamps stood on tripods, throwing hard white light onto tiled walls that had never seen a passenger."
1"Two uniformed constables stood at the tunnel mouth with the specific stillness of men who wanted to be somewhere else."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount1
fancyTags
0"Nayar agreed (agree)"
dialogueSentences45
tagDensity0.178
leniency0.356
rawRatio0.125
effectiveRatio0.044
86.7410%