Run: 2026-02-19-01KHTRJ9VGMV3MZ5QX7NQR4DX1

Run Details

Duration:
32.9s
Cost:
$0.036210
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 crouched beside the chalk outline, her knees cracking in protest. The abandoned Tube platform stretched into darkness, its ceramic tiles reflecting the harsh police spotlights. Three hours ago, this had been the bustling Veil Market. Now it was a crime scene. "Cause of death appears to be blunt force trauma." The forensics tech gestured to the blood spatter on the platform edge. "Victim struck their head during a robbery gone wrong. Simple as that." Quinn's fingers brushed her worn leather watch, a habit formed over eighteen years on the force. The blood pattern was wrong. Too deliberate, too artful. Like someone had painted it there. "Simple isn't the word I'd use." She stood, scanning the platform with narrowed eyes. "Where's the victim's belongings? Most muggers don't take everything." "Actually..." Eva Kowalski emerged from behind a evidence tent, her round glasses glinting in the spotlights. The museum researcher tucked a strand of red hair behind her ear. "That's not entirely accurate. I've been cataloging reported thefts in the area. There's been a pattern of victims being stripped of all possessions." Quinn's jaw tightened. "Ms. Kowalski. This is an active crime scene. How did you get past the cordon?" "I have clearance from Inspector Chen." Eva clutched her leather satchel closer. "He thought my expertise might be useful, given the... unusual circumstances." "Unusual doesn't begin to cover it." Quinn paced the platform edge, boots crunching on broken glass. The victim's blood formed perfect concentric circles, like ripples in a pond. No impact spatter, no cast-off pattern. "This isn't just wrong, it's impossible." "Unless you consider a different explanation." Eva pulled a small brass compass from her satchel. Its face was etched with strange symbols, the metal worn with a green patina. The needle spun wildly before settling on a point behind the platform wall. Quinn's hand instinctively moved to her service weapon. "What is that?" "A tool for finding what others miss." Eva held the compass flat. "The blood pattern? It's not random. It's a sigil - a kind of magical symbol. Someone's trying to open something." "Magic?" Quinn barked out a laugh, but it held no humor. The scene before her brought back flashes of that night three years ago. Morris's face, contorted in terror. The impossible angles of his body. The symbols burned into the floor. "There's no such thing." "Then how do you explain this?" Eva pointed to the wall where the compass needle aimed. Beneath decades of grime, faint lines emerged - the same concentric circles as the blood pattern, etched into the tile. Quinn's training warred with her instincts. The evidence didn't fit any rational explanation, but accepting the alternative meant confronting what really happened to Morris. "Even if I believed you - and I'm not saying I do - what's the connection to our victim?" "The Veil Market isn't just a black market." Eva's voice dropped to a whisper. "It's a gateway between worlds. Someone's trying to force it open permanently. Your victim? They were just raw materials." Quinn's watch ticked loudly in the silence that followed. The sound echoed off the curved tunnel walls, mixing with the drip of water and the hum of generators. She thought of Morris, of all the cases that didn't add up over the years. Of evidence that vanished and witnesses who changed their stories. "Show me everything you know about these symbols." Quinn pulled out her notebook. "And Ms. Kowalski? If you're playing me, you'll wish you'd never heard of the Metropolitan Police." "I'm not playing you, Detective." Eva's fingers trembled as she opened her satchel. "I'm trying to prevent what happened three years ago from happening again." Quinn's head snapped up. "What do you know about that?" "Enough to know your partner didn't die by accident." Eva spread several ancient texts across the platform. "And enough to know we don't have much time before they try again." The spotlights flickered, casting strange shadows across the blood sigil. In the darkness, Quinn could have sworn she saw the circles begin to pulse with an inner light.
created_at"2026-02-19T10:54:08.757Z" 2/19/2026, 10:54:08 AM
model"anthropic/claude-3.5-sonnet"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1001
moderation_latency163
generation_time32725
tokens_prompt1149
tokens_completion1077
native_tokens_prompt1145
native_tokens_completion978
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"
usage0.03621
router(null)
provider_responses
0
endpoint_id"d4fb79bd-9786-4932-af81-b83040e9f4e4"
id"d8852578-4671-48e3-b3a8-67303bba19fe"
is_byokfalse
latency1001
model_permaslug"anthropic/claude-3.5-sonnet"
provider_name"Amazon Bedrock"
status200
api_type"completions"
id"gen-1771498448-5sH7GFjjv2xJ6Vjcgnqy"
upstream_id"d8852578-4671-48e3-b3a8-67303bba19fe"
total_cost0.03621
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
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences28
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
92.61% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount677
totalAiIsmAdverbs1
found
0
adverb"really"
count1
highlights
0"really"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Chen"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
18.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount677
totalAiIsms11
found
0
word"scanning"
count1
1
word"glinting"
count1
2
word"perfect"
count1
3
word"etched"
count2
4
word"whisper"
count1
5
word"silence"
count1
6
word"echoed"
count1
7
word"trembled"
count1
8
word"flickered"
count1
9
word"pulse"
count1
highlights
0"scanning"
1"glinting"
2"perfect"
3"etched"
4"whisper"
5"silence"
6"echoed"
7"trembled"
8"flickered"
9"pulse"
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
emotionTells1
narrationSentences42
matches
0"d in terror"
6.80% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences42
filterMatches
0"watch"
hedgeMatches
0"happened to"
1"begin to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences57
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords680
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
17.15% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions27
wordCount414
uniqueNames8
maxNameDensity2.66
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn11
Tube1
Veil1
Market1
Eva8
Kowalski1
Morris3
persons
0"Harlow"
1"Quinn"
2"Eva"
3"Kowalski"
4"Morris"
places(empty)
globalScore0.171
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences35
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount680
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences57
matches(empty)
62.64% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean30.91
std11.41
cv0.369
sampleLengths
044
133
231
323
451
518
623
740
842
911
1032
1145
1236
1324
1419
1533
1653
1729
1825
1910
2030
2128
96.91% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences42
matches
0"was etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs63
matches(empty)
92.73% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences57
ratio0.018
matches
0"Beneath decades of grime, faint lines emerged - the same concentric circles as the blood pattern, etched into the tile."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount414
adjectiveStacks0
stackExamples(empty)
adverbCount6
adverbRatio0.014492753623188406
lyAdverbCount4
lyAdverbRatio0.00966183574879227
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences57
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences57
mean11.93
std5.12
cv0.429
sampleLengths
013
115
210
36
421
512
616
75
84
96
1014
119
1216
1312
1423
153
1615
1712
1811
1916
2012
216
226
2315
2414
2513
268
273
2812
2920
3011
3113
325
336
346
354
3616
3720
386
3918
4019
4114
4219
439
4419
4515
4610
4713
4816
4913
96.49% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.631578947368421
totalSentences57
uniqueOpeners36
79.37% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences42
matches
0"Too deliberate, too artful."
ratio0.024
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount3
totalSentences42
matches
0"She stood, scanning the platform"
1"Its face was etched with"
2"She thought of Morris, of"
ratio0.071
55.24% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount34
totalSentences42
matches
0"Detective Harlow Quinn crouched beside"
1"The abandoned Tube platform stretched"
2"The forensics tech gestured to"
3"Quinn's fingers brushed her worn"
4"The blood pattern was wrong."
5"She stood, scanning the platform"
6"Eva Kowalski emerged from behind"
7"The museum researcher tucked a"
8"Quinn's jaw tightened."
9"Eva clutched her leather satchel"
10"Quinn paced the platform edge,"
11"The victim's blood formed perfect"
12"Eva pulled a small brass"
13"Its face was etched with"
14"The needle spun wildly before"
15"Quinn's hand instinctively moved to"
16"Eva held the compass flat"
17"Quinn barked out a laugh,"
18"The scene before her brought"
19"Morris's face, contorted in terror."
ratio0.81
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences42
matches
0"Now it was a crime"
ratio0.024
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences16
technicalSentenceCount0
matches(empty)
41.67% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount2
matches
0"Eva Kowalski emerged, her round glasses glinting in the spotlights"
1"Quinn paced, boots crunching on broken glass"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Quinn barked (bark)"
dialogueSentences28
tagDensity0.036
leniency0.071
rawRatio1
effectiveRatio0.071
84.6791%