Run: 2026-02-19-01KHTRB6C6BF21ZV22K664NRPN

Run Details

Duration:
37.2s
Cost:
$0.033570
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
Detective Quinn's boots splashed through puddles as she pursued the hooded figure down D'Arblay Street. Rain pelted her face, and her leather jacket grew heavy with water. The suspect darted between late-night revelers, knocking over a bin that clattered across the wet pavement. Quinn vaulted over the obstacle, her worn watch catching the neon glow from the Raven's Nest as she passed. Three blocks of chase had her lungs burning, but she couldn't lose this lead. Not when she was this close to answers about Morris. The figure cut down an alley, their footsteps echoing off brick walls. Quinn followed, hand brushing her holstered weapon. The suspect's hood fell back revealing dark curls - Tomás Herrera. The former paramedic who'd been spotted at three separate crime scenes involving suspicious deaths. "Metropolitan Police! Stop right there, Herrera!" He glanced back, warm brown eyes wide with recognition. Instead of surrendering, he picked up speed and descended a set of stairs that Quinn hadn't noticed before - steps that led to a defunct Underground station entrance. Quinn paused at the top of the stairs. Morris had disappeared investigating rumors of an underground network. Following suspects into the Tube system alone went against protocol, but protocol hadn't gotten her any closer to the truth in three years. The stairwell reeked of mold and stagnant water. Her flashlight beam caught Herrera's back as he reached the bottom. He pressed his palm against a section of tiled wall, and to Quinn's shock, it slid aside with a grinding sound. "Last chance, Herrera! Don't make this worse for yourself." He slipped through the gap, and the wall began sliding shut. Quinn cursed and took the stairs three at a time. She wedged herself through the narrowing opening, squeezing past just before it sealed with a decisive thunk. The passage opened into a cavernous space that had her questioning her sanity. What had been a standard Underground platform was now a sprawling marketplace. Stalls constructed from salvaged materials lined both sides of the tracks. Strings of mismatched lights crisscrossed overhead, casting everything in an eerie glow. But it was the people - if she could call them that - that made her grip her gun tighter. Figures in elaborate masks moved between the stalls. Others had skin in impossible colors or too many limbs. A woman with moth wings haggled over a jar of glowing liquid. Herrera weaved through the crowd, his Saint Christopher medallion flashing as he ran. Quinn followed, trying to ignore the hostile stares from the market's denizens. Glass bottles crashed behind her. Someone hissed - actually hissed - as she passed. "Mortal law has no authority here, Detective." The voice came from everywhere and nowhere. Quinn's training warred with her instincts. This was exactly the sort of place Morris might have stumbled into. But she was outnumbered, surrounded by things she couldn't explain, and her radio wouldn't work this far underground. Herrera reached a cross-section where four tunnels met. He paused, looking back at her with what seemed like genuine concern. "Go back, Detective. Please. Some questions are better left unanswered." The crowd closed ranks behind him, a wall of inhuman faces and glowing eyes. Quinn stood her ground, though every nerve screamed to run. "This is connected to Morris, isn't it? To what happened three years ago?" "Your partner made the same choice you're facing now. Don't follow his path." Herrera backed into one of the tunnels, darkness swallowing him. Quinn raised her flashlight, illuminating the strange market and its even stranger occupants. The crowd watched, waiting for her decision. Her sharp jaw clenched as she thought of Morris, of all the dead ends and unanswered questions. The weight of her gun offered little comfort against the unknown that waited in those tunnels.
created_at"2026-02-19T10:50:15.819Z" 2/19/2026, 10:50:15 AM
model"anthropic/claude-3.5-sonnet"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4003
moderation_latency121
generation_time37001
tokens_prompt1140
tokens_completion1001
native_tokens_prompt1125
native_tokens_completion894
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"
usage0.03357
router(null)
provider_responses
0
endpoint_id"d4fb79bd-9786-4932-af81-b83040e9f4e4"
id"2242883a-5d62-4d46-802a-14a370e1355a"
is_byokfalse
latency4002
model_permaslug"anthropic/claude-3.5-sonnet"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771498215-CJlNoGf3jiVR4N5dMAVR"
upstream_id"2242883a-5d62-4d46-802a-14a370e1355a"
total_cost0.03357
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
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount626
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
52.08% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount626
totalAiIsms6
found
0
word"footsteps"
count1
1
word"echoing"
count1
2
word"standard"
count1
3
word"constructed"
count1
4
word"jaw clenched"
count1
5
word"weight"
count1
highlights
0"footsteps"
1"echoing"
2"standard"
3"constructed"
4"jaw clenched"
5"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences46
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences46
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences50
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords630
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
53.85% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions29
wordCount572
uniqueNames11
maxNameDensity1.92
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Quinn11
Street1
Raven1
Nest1
Morris4
Tomás1
Herrera5
Underground2
Tube1
Saint1
Christopher1
persons
0"Quinn"
1"Morris"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
places
0"Raven"
1"Tube"
globalScore0.538
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount630
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences50
matches(empty)
64.93% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean35
std13.2
cv0.377
sampleLengths
043
143
244
36
437
540
640
79
838
948
1050
1139
1214
1336
1430
1537
1623
1753
90.01% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences46
matches
0"been spotted"
1"was outnumbered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs102
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences50
ratio0.08
matches
0"The suspect's hood fell back revealing dark curls - Tomás Herrera."
1"Instead of surrendering, he picked up speed and descended a set of stairs that Quinn hadn't noticed before - steps that led to a defunct Underground station entrance."
2"But it was the people - if she could call them that - that made her grip her gun tighter."
3"Someone hissed - actually hissed - as she passed."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount568
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.02112676056338028
lyAdverbCount2
lyAdverbRatio0.0035211267605633804
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences50
echoCount0
echoWords(empty)
89.98% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences50
mean12.6
std4.72
cv0.375
sampleLengths
015
112
216
319
414
510
612
77
811
914
106
119
1228
138
149
1523
168
1711
1821
199
2011
2110
2217
2313
2412
2511
2612
2720
288
2910
3012
3113
3212
335
349
3514
366
3712
3818
398
4012
4110
4214
4310
4413
4523
4613
477
4817
4916
91.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.56
totalSentences50
uniqueOpeners28
72.46% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences46
matches
0"Instead of surrendering, he picked"
ratio0.022
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences46
matches
0"He glanced back, warm brown"
1"Her flashlight beam caught Herrera's"
2"He pressed his palm against"
3"He slipped through the gap,"
4"She wedged herself through the"
5"He paused, looking back at"
6"Her sharp jaw clenched as"
ratio0.152
36.09% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount39
totalSentences46
matches
0"Detective Quinn's boots splashed through"
1"Rain pelted her face, and"
2"The suspect darted between late-night"
3"Quinn vaulted over the obstacle,"
4"The figure cut down an"
5"Quinn followed, hand brushing her"
6"The suspect's hood fell back"
7"The former paramedic who'd been"
8"He glanced back, warm brown"
9"Quinn paused at the top"
10"Morris had disappeared investigating rumors"
11"The stairwell reeked of mold"
12"Her flashlight beam caught Herrera's"
13"He pressed his palm against"
14"He slipped through the gap,"
15"Quinn cursed and took the"
16"She wedged herself through the"
17"The passage opened into a"
18"Stalls constructed from salvaged materials"
19"Strings of mismatched lights crisscrossed"
ratio0.848
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences46
matches(empty)
ratio0
99.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences33
technicalSentenceCount2
matches
0"The suspect darted between late-night revelers, knocking over a bin that clattered across the wet pavement."
1"The passage opened into a cavernous space that had her questioning her sanity."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"Herrera backed, darkness swallowing him"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
81.6763%