Run: 2026-07-25-01KYCQW4BC8W077Z7SZXBXSVK8

Run Details

Duration:
51.4s
Cost:
$0.075720
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="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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
The rain came sideways down Camden High Street, hard enough to sting, and Harlow Quinn ran through it with her collar up and her radio dead in her pocket. Forty metres ahead, Tomás Herrera vaulted a chained-up bicycle rack and kept going. "Herrera!" She got his name out between breaths. "You're making this worse!" He didn't look back. That was the professional part of him, she thought — the paramedic part, the part that had learned to move through a crowd without wasting a single motion. He cut left around a shuttered kebab shop, and the puddle he hit sent up a sheet of water that caught the streetlight orange. Quinn followed. Eighteen years on the job had given her knees that complained on stairs and a lung capacity she maintained out of pure spite, four mornings a week on the towpath at Limehouse. She kept him in sight. That was all she needed. Keep him in sight and let him tire. He turned right into Inverness Street, past the market stalls folded down for the night, tarpaulins snapping in the wind like sails. A drunk in a Hawaiian shirt reeled out of a doorway and Herrera caught him by the elbow — actually caught him, actually steadied him — and the delay cost him three seconds. Quinn closed to twenty metres. "Tommy." She used the name she'd heard on the wire. "You stitched a man's shoulder in the back of a bar three nights ago. That's it. That's all I've got on you. Talk to me and you walk home." He turned his head then. Just enough for her to see his face under the streetlight, wet curls plastered to his forehead, warm brown eyes wide with something that wasn't fear of arrest. "You don't know what you're following me into," he called back. "Then stop and tell me." He ran. The alley behind Inverness dog-legged into a service road she'd never had cause to walk. Bins, scaffolding, a fire door with a sodium lamp above it buzzing like a trapped wasp. Somewhere off to the north the canal made its low sound under the rain. Quinn's shoes were finished — cheap leather soaking through — and her right sock had gone cold and heavy, and she thought about Morris. She always thought about Morris in the running. Three years ago, a Tuesday, a warehouse in Silvertown. She'd gone left and he'd gone right and when she came back around the stacked pallets there was a smell like burnt copper and a pair of empty shoes and DS Alan Morris, forty-six, two kids, a season ticket at Selhurst Park, was on the missing persons register to this day. She'd written the report. She'd written it eleven times before she found a version that didn't get her sent to occupational health. She had not gone right that day. She was going right tonight. Herrera hit the corner of the service road and dropped out of sight. Quinn slowed, one hand out against wet brick, and swung around the corner low. He was gone. The road ended in a hoarding — blue plywood, planning notices peeling in the rain, a graphic of glass flats that would never get built. And in the hoarding, a panel stood open about eighteen inches. Beyond it, black. "Christ," she breathed. She put her torch on it. Concrete steps going down, chewed at the edges, the tiling on the walls a filthy institutional cream with a strip of green. Old Underground tile. She knew that tile. Camden had swallowed a couple of stations back in the day — one under the road junction, sealed since before she was born, the kind of thing that turned up on urban exploration forums and in the mouths of coppers who liked a story. Water ran down the steps in a thin sheet, and the sound coming up from below wasn't water. It was people. A lot of people. A low churn of voices, folded and doubled by the tunnel, and under it something rhythmic — a bell, or a hammer on metal. Light came up the stairwell in colours streetlights didn't make. Green, and a deep bruised violet, and something that pulsed slow and orange like a heartbeat in a chest. Quinn stood in the rain with her torch on the hole in the world and did the arithmetic. Her radio was dead. Her phone had one bar and she'd bet her pension on it having none down there. Nobody at Kentish Town knew where she was because she'd told nobody, because DCI Ainsworth had put the Herrera file in the drawer marked *no* six weeks ago and she'd kept working it on her own time, which meant if she went down those steps she went down as a woman, not a warrant card. Procedure said: mark the location, withdraw, call it in, request support, obtain a warrant for the premises. Procedure had lost her Morris. "Detective." The voice came out of the stairwell. Herrera. He'd stopped maybe fifteen steps down, in that impossible orange light, one hand on the tiled wall. He was breathing hard. Rain ran off him. The Saint Christopher on his chest had come out over the collar of his shirt and it caught the light and threw it back at her. "Come up," she said. "Right now." "I can't." He wiped his mouth with the back of his wrist and she saw the old scar on his forearm, a pale seam from elbow to wrist. "And you can't come down. Not without a token." "A what?" "Bone. Little piece of bone, about the size of a domino." He said it flatly, like a man reading out a dosage. "You need one at the gate. If you walk through without one, they'll take something instead. That's not a threat, that's just what happens. I've seen it happen." A beat. "I've treated what's left of it happening." The rain hammered down on the hoarding behind her. "You're telling me there's a market down there." "I'm telling you to go home." "Eighteen years, Tommy." Quinn came to the edge of the steps. "I've had every kind of nonsense talked at me. Lads swearing blind they were three streets away. Men telling me the blood on their hands came out of a dog. I have never once been told to go home by someone who looked as frightened as you do." "Then listen to the frightened man." He came up two steps, and stopped, like there was a line drawn on the concrete. "Whatever you think I did—" "I don't think you did anything. I think you patch up people who can't go to A&E, and I think you know exactly why they can't." Her voice stayed level. That was a skill. That was the one skill she'd never lost. "Three years ago I lost my partner in a warehouse in Silvertown. His shoes were still standing up. Laces tied. You want to tell me that's not something you've heard about?" Herrera's face did something then, and it wasn't surprise. It was recognition, and he tried to put it away too late. "You know that story," Quinn said. "Detective—" "You know that story." She took the first step down. The tiles were slick and the air came up warm and wrong, tasting of iron filings and cut grass and something sweetly rotten, and every animal instinct she owned told her to turn around and go back into the honest rain. "Silvertown. Say you don't." He didn't say it. Below him the tunnel curved away, and in the curve a shape moved — tall, unhurried, carrying a lantern that gave off no smoke — and the churn of voices swelled and dropped like a tide going over shingle. Quinn's hand found her left wrist without her telling it to, thumb on the worn leather strap of the watch. Twenty-three minutes past eleven. She always logged the time. She logged it now, out of habit, out of religion, and then she took the second step down.
created_at"2026-07-25T13:36:43.892Z" 7/25/2026, 1:36:43 PM
model"anthropic/claude-opus-5-20260723"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5698
moderation_latency(null)
generation_time51217
tokens_prompt1104
tokens_completion1996
native_tokens_prompt1574
native_tokens_completion2714
native_tokens_completion_images(null)
native_tokens_reasoning129
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"
usage0.07572
router(null)
provider_responses
0
endpoint_id"76cb4608-f48c-483d-8da8-9957fb44244e"
id"msg_011CdNsABKhJeZJMGfrVabmm"
is_byokfalse
latency1930
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-1784986603-GCBpFwGHECsojzZsbF3t"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784986603-0B9eNWgcnVLw8Vch1ouv"
upstream_id"msg_011CdNsABKhJeZJMGfrVabmm"
total_cost0.07572
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences28
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
96.26% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1336
totalAiIsmAdverbs1
found
0
adverb"sweetly"
count1
highlights
0"sweetly"
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)
85.03% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1336
totalAiIsms4
found
0
word"churn"
count2
1
word"rhythmic"
count1
2
word"pulsed"
count1
highlights
0"churn"
1"rhythmic"
2"pulsed"
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
narrationSentences81
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences81
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen55
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1346
ratio0.001
matches
0"no"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions41
wordCount1087
uniqueNames22
maxNameDensity0.83
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Camden2
High1
Street2
Harlow1
Quinn9
Tomás1
Herrera6
Limehouse1
Inverness2
Hawaiian1
Morris4
Tuesday1
Silvertown1
Alan1
Selhurst1
Park1
Underground1
Kentish1
Town1
Ainsworth1
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Morris"
5"Alan"
6"Ainsworth"
7"Saint"
8"Christopher"
places
0"Camden"
1"High"
2"Street"
3"Limehouse"
4"Inverness"
5"Hawaiian"
6"Silvertown"
7"Selhurst"
8"Park"
9"Kentish"
10"Town"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1346
matches(empty)
97.22% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences96
matches
0"right that day"
1"knew that tile"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean29.91
std25.58
cv0.855
sampleLengths
029
113
212
356
452
555
65
739
833
911
105
112
1269
1390
1412
1513
1614
1742
183
1979
2018
2160
2218
2375
2417
255
261
2759
286
2937
302
3159
329
338
346
3559
3627
3773
3821
396
401
4155
424
4339
4447
96.60% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences81
matches
0"was gone"
1"get built"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs183
matches
0"was going"
1"was breathing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount10
semicolonCount0
flaggedSentences7
totalSentences96
ratio0.073
matches
0"That was the professional part of him, she thought — the paramedic part, the part that had learned to move through a crowd without wasting a single motion."
1"A drunk in a Hawaiian shirt reeled out of a doorway and Herrera caught him by the elbow — actually caught him, actually steadied him — and the delay cost him three seconds."
2"Quinn's shoes were finished — cheap leather soaking through — and her right sock had gone cold and heavy, and she thought about Morris."
3"The road ended in a hoarding — blue plywood, planning notices peeling in the rain, a graphic of glass flats that would never get built."
4"Camden had swallowed a couple of stations back in the day — one under the road junction, sealed since before she was born, the kind of thing that turned up on urban exploration forums and in the mouths of coppers who liked a story."
5"A low churn of voices, folded and doubled by the tunnel, and under it something rhythmic — a bell, or a hammer on metal."
6"Below him the tunnel curved away, and in the curve a shape moved — tall, unhurried, carrying a lantern that gave off no smoke — and the churn of voices swelled and dropped like a tide going over shingle."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1081
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.024051803885291396
lyAdverbCount4
lyAdverbRatio0.0037002775208140612
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean14.02
std12.24
cv0.873
sampleLengths
029
113
28
34
44
528
624
72
832
95
105
118
1222
1333
145
1510
1629
175
1828
1911
205
212
2215
2316
2414
2524
268
279
2851
294
3018
317
325
3313
3414
353
3625
3711
383
393
406
4122
423
434
4444
4518
463
474
4824
4910
59.03% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.4166666666666667
totalSentences96
uniqueOpeners40
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences74
matches
0"Just enough for her to"
1"Somewhere off to the north"
2"A lot of people."
ratio0.041
52.43% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences74
matches
0"She got his name out"
1"He didn't look back."
2"He cut left around a"
3"She kept him in sight."
4"He turned right into Inverness"
5"She used the name she'd"
6"He turned his head then."
7"he called back"
8"She always thought about Morris"
9"She'd gone left and he'd"
10"She'd written the report."
11"She'd written it eleven times"
12"She had not gone right"
13"She was going right tonight."
14"He was gone."
15"She put her torch on"
16"She knew that tile."
17"It was people."
18"Her radio was dead."
19"Her phone had one bar"
ratio0.419
54.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount60
totalSentences74
matches
0"The rain came sideways down"
1"She got his name out"
2"He didn't look back."
3"That was the professional part"
4"He cut left around a"
5"She kept him in sight."
6"That was all she needed."
7"He turned right into Inverness"
8"A drunk in a Hawaiian"
9"Quinn closed to twenty metres."
10"She used the name she'd"
11"He turned his head then."
12"he called back"
13"The alley behind Inverness dog-legged"
14"Bins, scaffolding, a fire door"
15"Quinn's shoes were finished —"
16"She always thought about Morris"
17"She'd gone left and he'd"
18"She'd written the report."
19"She'd written it eleven times"
ratio0.811
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences74
matches(empty)
ratio0
20.41% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount6
matches
0"That was the professional part of him, she thought — the paramedic part, the part that had learned to move through a crowd without wasting a single motion."
1"He cut left around a shuttered kebab shop, and the puddle he hit sent up a sheet of water that caught the streetlight orange."
2"Eighteen years on the job had given her knees that complained on stairs and a lung capacity she maintained out of pure spite, four mornings a week on the towpat…"
3"Just enough for her to see his face under the streetlight, wet curls plastered to his forehead, warm brown eyes wide with something that wasn't fear of arrest."
4"The road ended in a hoarding — blue plywood, planning notices peeling in the rain, a graphic of glass flats that would never get built."
5"Camden had swallowed a couple of stations back in the day — one under the road junction, sealed since before she was born, the kind of thing that turned up on u…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"she breathed (breathe)"
dialogueSentences28
tagDensity0.143
leniency0.286
rawRatio0.25
effectiveRatio0.071
85.3857%