Run: 2026-02-18-01KHQ92V9DN88YWJEGCQ3GV25Y

Run Details

Duration:
31.6s
Cost:
$0.023829
Provider:
Amazon Bedrock

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </codex> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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.

Model response

AI
The rain came down in sheets, turning the Soho gutters into small rivers and hazing the streetlights into smeared yellow blooms. Quinn had been watching the bar for forty minutes from the doorway of a closed chemist across the street, her collar turned up against the wet, when the door finally opened and spilled warm light onto the pavement. Tomás Herrera. She recognized him immediately — the olive skin, the short curly hair plastered now to his forehead, the way he moved with a kind of coiled watchfulness, scanning left and right before committing to a direction. The scar on his left forearm caught the green wash of the Raven's Nest sign as he pulled his jacket sleeve down. She had his photograph on her board at the station, tacked beside three others and a web of red string. She gave him five seconds, then moved. He was heading north, toward Oxford Street. Quinn fell into his wake at a distance of about thirty meters, keeping close to the shopfronts, letting the rain serve as cover. He had the gait of someone who expected to be followed — quick changes of pace, a casual glance into a darkened window that was really a mirror check. Former paramedic, her file said, but whoever trained him in counter-surveillance hadn't been any NHS orientation course. At the junction he turned east without signaling his intention, a sharp cut around a group of tourists sheltering under a pub awning. Quinn lengthened her stride and turned the corner in time to see his jacket — dark green, hood still down despite the downpour — disappearing into the mouth of a side street. She followed. He was moving faster now. Either he'd made her or he was simply in a hurry. The side street was narrow and dark, its single working lamp at the far end creating more shadow than light. Herrera's footsteps were audible over the rain, a quick slap against wet stone, and then he rounded a corner and the sound changed — less open, more enclosed, like a throat. Quinn's hand found the weight of her warrant card in her inside pocket. Her baton was on her hip. She had not called this in, which she knew, if pressed, she couldn't fully justify. The file on Herrera was thin and circumstantial: known associate of persons of interest, observed at three locations connected to an ongoing investigation, a former medical professional who had lost his license under documentation so vague it read like it had been deliberately obscured. She didn't have enough for an arrest. She barely had enough for a conversation. But three years ago, DS Morris had followed a thread that looked exactly like this one — thin, circumstantial, pulling toward something she didn't have a name for — and he hadn't come back from it. The coroner had ruled cardiac event. Quinn had read the file eleven times and never once believed it. She came around the corner and stopped. The street dead-ended at a blank brick wall. To her left, a rusted iron staircase descended below street level, bolted to the wall of a building that had been derelict for years. At its base, a door stood slightly open, leaking no light. She could see the scuff marks on the wet iron treads where someone had recently passed. She stood in the rain and looked at the door. Herrera was down there. Below that was whatever he'd been moving toward with that practiced, careful urgency. She thought about the bone token she'd found in Morris's personal effects, catalogued and then quietly removed from evidence before anyone senior could ask questions she couldn't answer. Smooth and pale, carved with a symbol she'd spent six months trying to identify before a curator at a small museum in Holborn had gone very still when she showed him a photograph and said, quietly, that he'd need her to leave before he said anything else. She had looked it up herself, eventually. Entry token. Markets that moved. Things sold and traded that had no business being sold and traded. The door at the bottom of the stairs was iron-grey and featureless. Around its edges, just visible in the ambient light from the street above, she could see a faint luminescence — not quite a color she had a name for. Quinn checked her watch. The worn leather strap was soaked through. Two forty-seven in the morning. She should call it in. File an observations report, request backup, run Herrera through the system again in the morning with fresh eyes and fresh authorization. That was the correct procedure. That was eighteen years of decorated service telling her to stand down. She thought about Morris. She thought about the way the coroner had not met her eyes. She put her foot on the top iron tread. It held. She put her weight on it, and the metal was solid and cold even through her shoe, and the rain hammered against her shoulders as she descended, one step and then another, and the street noise softened above her like a door closing on a crowded room. By the time she reached the bottom, the city felt very far away. The door had no handle on this side. Just a small depression in the iron, shaped in a way that was almost organic, almost like a cupped palm. She looked at it for a long moment. Then she reached into the inside pocket of her jacket, past her warrant card, past her phone. She found the small waxed paper envelope she'd taken from Morris's box of effects and had carried for three years without examining too closely why. She unfolded it. The bone token was cold in her fingers and lighter than it looked. She pressed it into the depression in the door. There was a sound that was not quite a click, not quite a tone, not quite either of those things. The door swung inward. Warm air rushed out carrying the smell of candle wax and something older, mineral and strange. Beyond the threshold she could hear voices, movement, the low murmur of commerce in a language that was only partly English. Somewhere in there, Herrera was moving through the crowd. She could see the flicker of firelight on old tile, the curved ceiling of what had once been a Tube station, stalls stretching away into amber shadow. She could see the back of a dark green jacket. Quinn put the bone token in her breast pocket. She squared her shoulders with something very close to military precision. She stepped through the door.
created_at"2026-02-18T02:26:22.427935+00:00" 2/18/2026, 2:26:22 AM
model"anthropic/claude-4.6-sonnet-20260217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency584
moderation_latency189
generation_time31367
tokens_prompt914
tokens_completion1614
native_tokens_prompt918
native_tokens_completion1405
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.023829
router(null)
provider_responses
0
id"76a32644-b174-4b50-9a64-0eb4a1ebb46b"
status200
is_byokfalse
latency582
endpoint_id"83d802cb-44f2-45a0-a9d5-cb9bf79777c8"
provider_name"Amazon Bedrock"
model_permaslug"anthropic/claude-4.6-sonnet-20260217"
api_type"completions"
id"gen-1771381550-b4waqdHH22eRmiONz3vZ"
upstream_id"76a32644-b174-4b50-9a64-0eb4a1ebb46b"
total_cost0.023829
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
72.78% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1102
totalAiIsmAdverbs6
found
0
adverb"really"
count1
1
adverb"deliberately"
count1
2
adverb"slightly"
count1
3
adverb"very"
count3
highlights
0"really"
1"deliberately"
2"slightly"
3"very"
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)
77.31% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1102
totalAiIsms5
found
0
word"scanning"
count1
1
word"footsteps"
count1
2
word"weight"
count2
3
word"flicker"
count1
highlights
0"scanning"
1"footsteps"
2"weight"
3"flicker"
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
narrationSentences74
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences74
filterMatches
0"watch"
hedgeMatches
0"try 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
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1106
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount1106
uniqueNames11
maxNameDensity0.63
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Herrera6
Raven1
Nest1
Oxford1
Street1
Morris4
Holborn1
English1
Tube1
Quinn7
persons
0"Herrera"
1"Raven"
2"Morris"
3"Quinn"
places
0"Soho"
1"Oxford"
2"Street"
globalScore1
windowScore1
65.25% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount2
matches
0"not quite a color she had a name for"
1"not quite a click, not quite a tone, not quite either of those things"
2"not quite a tone, not quite either of those things"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1106
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
totalParagraphs27
mean40.96
std27.81
cv0.679
sampleLengths
059
180
27
376
455
52
667
792
854
97
1059
1110
1292
1324
1441
1516
1643
1716
1871
1936
2045
2113
229
2361
2446
2520
265
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences74
matches
0"being sold"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs176
matches
0"was heading"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences6
totalSentences74
ratio0.081
matches
0"She recognized him immediately — the olive skin, the short curly hair plastered now to his forehead, the way he moved with a kind of coiled watchfulness, scanning left and right before committing to a direction."
1"He had the gait of someone who expected to be followed — quick changes of pace, a casual glance into a darkened window that was really a mirror check."
2"Quinn lengthened her stride and turned the corner in time to see his jacket — dark green, hood still down despite the downpour — disappearing into the mouth of a side street."
3"Herrera's footsteps were audible over the rain, a quick slap against wet stone, and then he rounded a corner and the sound changed — less open, more enclosed, like a throat."
4"But three years ago, DS Morris had followed a thread that looked exactly like this one — thin, circumstantial, pulling toward something she didn't have a name for — and he hadn't come back from it."
5"Around its edges, just visible in the ambient light from the street above, she could see a faint luminescence — not quite a color she had a name for."
96.09% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1102
adjectiveStacks0
stackExamples(empty)
adverbCount49
adverbRatio0.04446460980036298
lyAdverbCount17
lyAdverbRatio0.015426497277676952
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
mean14.95
std11.11
cv0.743
sampleLengths
021
138
22
336
422
520
67
77
823
929
1017
1123
1232
132
145
1511
1620
1731
1813
196
2015
2144
227
237
2436
256
2612
277
288
2924
3011
3116
3210
334
3413
3528
3647
377
382
393
4012
4112
4229
434
447
455
465
4721
485
4912
53.15% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.3918918918918919
totalSentences74
uniqueOpeners29
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences70
matches
0"Just a small depression in"
1"Then she reached into the"
2"Somewhere in there, Herrera was"
ratio0.043
60.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences70
matches
0"She recognized him immediately —"
1"She had his photograph on"
2"She gave him five seconds,"
3"He was heading north, toward"
4"He had the gait of"
5"He was moving faster now."
6"Her baton was on her"
7"She had not called this"
8"She didn't have enough for"
9"She barely had enough for"
10"She came around the corner"
11"She could see the scuff"
12"She stood in the rain"
13"She thought about the bone"
14"She had looked it up"
15"She should call it in."
16"She thought about Morris."
17"She thought about the way"
18"She put her foot on"
19"She put her weight on"
ratio0.4
95.71% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences70
matches
0"The rain came down in"
1"Quinn had been watching the"
2"She recognized him immediately —"
3"The scar on his left"
4"She had his photograph on"
5"She gave him five seconds,"
6"He was heading north, toward"
7"Quinn fell into his wake"
8"He had the gait of"
9"Quinn lengthened her stride and"
10"He was moving faster now."
11"The side street was narrow"
12"Herrera's footsteps were audible over"
13"Quinn's hand found the weight"
14"Her baton was on her"
15"She had not called this"
16"The file on Herrera was"
17"She didn't have enough for"
18"She barely had enough for"
19"The coroner had ruled cardiac"
ratio0.729
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences70
matches
0"Either he'd made her or"
1"To her left, a rusted"
2"By the time she reached"
ratio0.043
93.02% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences43
technicalSentenceCount3
matches
0"He had the gait of someone who expected to be followed — quick changes of pace, a casual glance into a darkened window that was really a mirror check."
1"The file on Herrera was thin and circumstantial: known associate of persons of interest, observed at three locations connected to an ongoing investigation, a fo…"
2"But three years ago, DS Morris had followed a thread that looked exactly like this one — thin, circumstantial, pulling toward something she didn't have a name f…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
90.4443%