Run: 2026-02-19-01KHSZ1ARVQ17DFTMN02PM3MST

Run Details

Duration:
30.3s
Cost:
$0.036900
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
Detective Harlow Quinn knelt beside the chalk outline, her knees creaking against the damp platform of the abandoned Underground station. The body was gone, but dark stains remained on the crumbling tiles, forming patterns that defied natural blood spatter. The forensics team packed their equipment, their torches creating dancing shadows across the curved walls. The station had been sealed off for decades, yet someone had found their way in – and out. "Cause of death seems straightforward enough." Detective Sergeant Webb shuffled through his notes. "Blunt force trauma to the head. Probably fell onto the tracks, hit his head on the rail." Quinn traced her finger along the edge of the stain, stopping at an unusual geometric shape. "What do you make of this pattern?" "Could be from the victim's jacket. Fabric impressions, maybe?" But Quinn knew better. The markings resembled the protective sigils she'd seen etched on that brass compass in evidence storage last month – the one they'd confiscated from that redheaded researcher at the British Museum. Her hand instinctively went to her worn leather watch, thumb brushing over its familiar scratch marks. "The dust is wrong," Quinn said. "Sorry?" She stood with military precision, boots grinding against decades of grime. "Look at the platform. Really look at it." Webb's torch beam swept the ground. Years of dust and debris coated every surface, except for a clear path that led from the body to the tunnel's mouth. No drag marks, no footprints, just a pristine strip of clean tiles. "Someone cleaned up after themselves?" Webb suggested. "In an abandoned station? Why not clean the blood too?" Quinn walked the path, her steps deliberate. "And where are the entry points? All access tunnels are sealed with steel plates. We had to cut our way in." The beam of her torch caught something in the tunnel – a glint of brass nestled between the rails. Quinn pulled on a latex glove and retrieved it. A small compass, its casing dulled with verdigris. Its needle spun wildly, not settling on any cardinal direction. "Evidence missed by the sweep team?" Webb asked. Quinn pocketed the compass. "Log it as a potential lead." She'd seen its twin in the evidence locker, knew its significance. That researcher, Eva Kowalski, had been evasive during questioning about its origins. Mentioned something about a market that moved with the moon. "The victim's possessions were intact," Webb continued. "Wallet, phone, keys. Rules out robbery." "Because this wasn't about money." Quinn stood at the platform's edge, studying the tunnel's curve. "This station doesn't exist on any modern maps. How did our victim find it?" "Urbex enthusiast maybe? Those urban explorer types are always breaking into sealed stations." Quinn shook her head. "No gear, no cameras, no tools to breach the entrance. He was led here." She pulled out her phone, checking the lunar calendar. Full moon tonight. "Webb, I need you to compile a list of all sealed stations in the network. Focus on Camden area." "You think there's more?" "I think..." Quinn paused, remembering the night she lost DS Morris. The impossible angles of the shadows, the way his body had simply vanished. "I think we're looking at this wrong. We're treating it like a normal crime scene because that's what we're trained to see." "What else could it be?" Quinn's fingers brushed against the compass in her pocket. Its metal felt warm, almost alive. "Something that doesn't want to be found. Not through conventional means, anyway." She took one last look at the blood patterns. They weren't random spatters – they formed a perfect circle, with precise geometric shapes inside. Like a signature. Or a warning. "Log it as suspicious death, pending further investigation," Quinn ordered. "And get me everything we have on Eva Kowalski from the British Museum. I think it's time we had another chat." Webb nodded, but concern creased his brow. "You're not thinking this is connected to the Morris case?" Quinn didn't answer. She just stared into the darkness of the tunnel, where the shadows seemed to move against the torch light's natural flow. Some mysteries didn't want to be solved. But after three years of searching for answers about her partner's disappearance, she finally had a lead. The compass in her pocket twitched, its needle finding purpose.
created_at"2026-02-19T03:27:58.246Z" 2/19/2026, 3:27:58 AM
model"anthropic/claude-3.5-sonnet"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency873
moderation_latency185
generation_time30097
tokens_prompt1149
tokens_completion1138
native_tokens_prompt1145
native_tokens_completion1001
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"
usage0.0369
router(null)
provider_responses
0
endpoint_id"0e1957b3-205b-49d5-8413-13af3f68676d"
id"3a25cd2e-d436-4f0a-a0c0-9a14833c69cb"
is_byokfalse
latency872
model_permaslug"anthropic/claude-3.5-sonnet"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771471678-m8IwsvesHNXALUf8NQim"
upstream_id"3a25cd2e-d436-4f0a-a0c0-9a14833c69cb"
total_cost0.0369
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
totalTags11
adverbTagCount0
adverbTags(empty)
dialogueSentences27
tagDensity0.407
leniency0.815
rawRatio0
effectiveRatio0
92.97% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount711
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
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)
36.71% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount711
totalAiIsms9
found
0
word"dancing"
count1
1
word"traced"
count1
2
word"etched"
count1
3
word"familiar"
count1
4
word"pristine"
count1
5
word"glint"
count1
6
word"potential"
count1
7
word"almost alive"
count1
8
word"perfect"
count1
highlights
0"dancing"
1"traced"
2"etched"
3"familiar"
4"pristine"
5"glint"
6"potential"
7"almost alive"
8"perfect"
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
narrationSentences45
matches(empty)
79.37% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences45
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences61
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords715
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
7.14% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount455
uniqueNames11
maxNameDensity2.86
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn13
Underground1
Sergeant1
Webb6
British1
Museum1
Eva1
Kowalski1
Full1
Morris1
persons
0"Harlow"
1"Quinn"
2"Sergeant"
3"Webb"
4"Eva"
5"Kowalski"
6"Morris"
places
0"British"
globalScore0.071
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences33
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount715
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences61
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean25.54
std15.81
cv0.619
sampleLengths
039
133
230
323
49
551
66
71
819
940
107
1138
1246
138
1443
1513
1629
1713
1849
194
2046
215
2227
2330
2431
2517
2648
2710
89.67% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences45
matches
0"was gone"
1"been sealed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs76
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences4
totalSentences61
ratio0.066
matches
0"The station had been sealed off for decades, yet someone had found their way in – and out."
1"The markings resembled the protective sigils she'd seen etched on that brass compass in evidence storage last month – the one they'd confiscated from that redheaded researcher at the British Museum."
2"The beam of her torch caught something in the tunnel – a glint of brass nestled between the rails."
3"They weren't random spatters – they formed a perfect circle, with precise geometric shapes inside."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount451
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.017738359201773836
lyAdverbCount4
lyAdverbRatio0.008869179600886918
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences61
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences61
mean11.72
std6.35
cv0.542
sampleLengths
020
119
215
318
413
517
616
77
89
94
1031
1116
126
131
1411
158
166
1722
1812
197
2017
2121
2219
239
248
2510
268
274
2817
2912
3010
317
326
3315
3414
3513
364
3723
383
3919
404
4111
4213
4322
445
459
466
4712
489
4915
95.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.5901639344262295
totalSentences61
uniqueOpeners36
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences40
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences40
matches
0"Her hand instinctively went to"
1"She stood with military precision,"
2"Its needle spun wildly, not"
3"She'd seen its twin in"
4"She pulled out her phone,"
5"Its metal felt warm, almost"
6"She took one last look"
7"They weren't random spatters –"
8"She just stared into the"
ratio0.225
47.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount33
totalSentences40
matches
0"Detective Harlow Quinn knelt beside"
1"The body was gone, but"
2"The forensics team packed their"
3"The station had been sealed"
4"Detective Sergeant Webb shuffled through"
5"Quinn traced her finger along"
6"The markings resembled the protective"
7"Her hand instinctively went to"
8"She stood with military precision,"
9"Webb's torch beam swept the"
10"Years of dust and debris"
11"Quinn walked the path, her"
12"The beam of her torch"
13"Quinn pulled on a latex"
14"A small compass, its casing"
15"Its needle spun wildly, not"
16"Quinn pocketed the compass."
17"She'd seen its twin in"
18"That researcher, Eva Kowalski, had"
19"Quinn stood at the platform's"
ratio0.825
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences40
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount1
matches
0"The body was gone, but dark stains remained on the crumbling tiles, forming patterns that defied natural blood spatter."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount3
fancyTags
0"Webb suggested (suggest)"
1"Webb continued (continue)"
2"Quinn ordered (order)"
dialogueSentences27
tagDensity0.185
leniency0.37
rawRatio0.6
effectiveRatio0.222
79.5775%