Run: 2026-02-19-01KHTRFHECKVK0A65HRMMAN9QC

Run Details

Duration:
10.1s
Cost:
$0.001990
Provider:
Anthropic

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 pattered against the windshield as Detective Harlow Quinn gripped the steering wheel, her eyes narrowed in concentration. She had been tailing the suspect for miles, weaving through the congested streets of London. Her target, a young man named Tomás Herrera, had eluded her before, but not tonight. Harlow's jaw tightened as she watched Tomás dart down a dark alley, his footsteps splashing through the puddles. Without hesitation, she threw the car into gear and gunned the engine, determined not to lose him again. The tires screeched as she took the corner, water spraying up in her wake. Tomás glanced over his shoulder, his eyes widening when he saw Harlow in pursuit. He picked up his pace, dodging pedestrians and darting between parked cars. Harlow followed, her heart pounding, adrenaline coursing through her veins. This was her chance to finally get answers about the strange occurrences that had been plaguing the city. The alley led to a set of worn stone steps that descended into the darkness. Tomás didn't hesitate, taking them two at a time. Harlow cursed under her breath, reaching for her gun as she followed him down. The air grew colder and damp as she descended, the sounds of the city muffled above. At the bottom, Harlow found herself in a dimly lit tunnel, the walls covered in graffiti and grime. Tomás had vanished, but she could hear the faint echo of his footsteps ahead. Taking a deep breath, she pressed on, her footsteps splashing through shallow puddles. The tunnel opened up into a vast underground space, the high ceiling lost in shadows. Harlow paused, her senses on high alert. The space was bustling with activity – people moving between stalls, voices murmuring, the occasional clash of metal. Her eyes narrowed as she took in the scene, recognizing the telltale signs of a black market. Tomás had disappeared into the throng, but Harlow was determined not to lose him. She made her way through the maze of stalls, keeping a tight grip on her weapon. The vendors eyed her warily, sensing she didn't belong. Harlow ignored them, her focus solely on her target. Suddenly, a commotion erupted to her left. Harlow whirled, catching a glimpse of Tomás darting through the crowd. Without hesitation, she gave chase, weaving between the stalls and dodging the startled vendors. Tomás led her deeper into the market, navigating the twisting paths with practiced ease. Harlow struggled to keep up, her frustration growing. Just as she was about to lose him, she spotted a flash of movement – Tomás had ducked through a doorway, disappearing behind a bookshelf. Harlow pushed forward, ignoring the shouts of protest from the vendors. She reached the bookshelf, her fingers searching for a hidden latch or switch. After a moment, she found it, and the shelf swung open to reveal a dimly lit staircase. Harlow paused, her grip tightening on her gun. She knew she was venturing into unknown and potentially dangerous territory, but the chance to finally catch Tomás was too tempting to pass up. Taking a deep breath, she steeled her nerves and descended the stairs, the bookshelf swinging shut behind her. The staircase opened up into a small, cozy room, its walls lined with bookshelves and plush leather armchairs. Harlow scanned the space, her eyes narrowing as she spotted Tomás standing across the room, his expression unreadable. "End of the line, Herrera," Harlow growled, her gun trained on him. "I've got a lot of questions for you." Tomás held up his hands, a wry smile tugging at the corner of his lips. "Detective Quinn. I was wondering when you'd catch up to me." Harlow's grip on her weapon tightened. "Where's the rest of your little clique, Herrera? I know you're all up to something." Tomás chuckled, shaking his head. "I'm afraid I can't tell you that, Detective. You've stumbled into a world you're not ready for." Harlow's eyes narrowed. "Try me." Tomás studied her for a moment, his expression thoughtful. "You lost your partner, didn't you? Three years ago, under...unusual circumstances." Harlow's jaw tightened, and her finger twitched on the trigger. "What do you know about that?" Tomás raised his hands in a placating gesture. "Easy, Detective. I'm not your enemy. In fact, I may be able to help you." Harlow scoffed. "Help me? You've been evading me for months. Why should I trust you?" Tomás's gaze locked with hers, his eyes earnest. "Because I know what happened to your partner. And I can help you find the answers you've been searching for." Harlow hesitated, her mind racing. Could Tomás be telling the truth? Was he the key to solving the mystery that had been haunting her for years? She knew she was taking a risk, but the temptation was too strong to resist. Slowly, she lowered her gun, her jaw set in determination. "Alright, Herrera. You've got my attention. But if you're lying to me, I won't hesitate to put a bullet between your eyes." Tomás's lips curved into a small smile. "I wouldn't expect anything less, Detective." With that, he turned and led the way deeper into the hidden room, Harlow following close behind, her senses on high alert. The chase had taken an unexpected turn, and Harlow couldn't shake the feeling that she was about to uncover something far more sinister than she ever could have imagined.
created_at"2026-02-19T10:52:38.225Z" 2/19/2026, 10:52:38 AM
model"anthropic/claude-3-haiku"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency343
moderation_latency(null)
generation_time9997
tokens_prompt1140
tokens_completion1383
native_tokens_prompt1125
native_tokens_completion1367
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"
usage0.00199
router(null)
provider_responses
0
endpoint_id"8661a1db-b0cf-4eb2-ba04-c2a79f698682"
id"msg_01SUbbsBc7Z14yeCzxD17sBQ"
is_byokfalse
latency343
model_permaslug"anthropic/claude-3-haiku"
provider_name"Anthropic"
status200
api_type"completions"
id"gen-1771498358-fLKhUgDg7XXHI750LXMq"
upstream_id"msg_01SUbbsBc7Z14yeCzxD17sBQ"
total_cost0.00199
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences13
tagDensity0.077
leniency0.154
rawRatio0
effectiveRatio0
83.22% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount894
totalAiIsmAdverbs3
found
0
adverb"warily"
count1
1
adverb"suddenly"
count1
2
adverb"slowly"
count1
highlights
0"warily"
1"suddenly"
2"slowly"
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)
21.70% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount894
totalAiIsms14
found
0
word"footsteps"
count3
1
word"determined"
count2
2
word"pounding"
count1
3
word"echo"
count1
4
word"navigating"
count1
5
word"practiced ease"
count1
6
word"steeled"
count1
7
word"scanned"
count1
8
word"unreadable"
count1
9
word"racing"
count1
10
word"sinister"
count1
highlights
0"footsteps"
1"determined"
2"pounding"
3"echo"
4"navigating"
5"practiced ease"
6"steeled"
7"scanned"
8"unreadable"
9"racing"
10"sinister"
33.33% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches3
maxInWindow3
found
0
label"eyes widened/narrowed"
count3
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences57
matches
0"t in determination"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences57
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences69
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords896
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
2.35% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount745
uniqueNames6
maxNameDensity2.95
worstName"Harlow"
maxWindowNameDensity4.5
worstWindowName"Harlow"
discoveredNames
Detective1
Harlow22
Quinn1
London1
Tomás18
Herrera1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
places
0"London"
globalScore0.023
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount896
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences69
matches(empty)
81.38% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean34.46
std14.99
cv0.435
sampleLengths
049
150
254
354
445
557
648
732
847
941
1050
1136
1220
1326
1421
1522
165
1720
1816
1923
2015
2128
2241
2332
2413
2551
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences57
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs146
matches
0"was venturing"
1"was taking"
60.04% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences69
ratio0.029
matches
0"The space was bustling with activity – people moving between stalls, voices murmuring, the occasional clash of metal."
1"Just as she was about to lose him, she spotted a flash of movement – Tomás had ducked through a doorway, disappearing behind a bookshelf."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount743
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.02288021534320323
lyAdverbCount9
lyAdverbRatio0.012113055181695828
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences69
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences69
mean12.99
std5.5
cv0.423
sampleLengths
019
115
215
318
418
514
614
712
810
918
1015
119
1214
1316
1418
1514
1613
1715
187
1918
2017
2114
2216
239
249
257
2611
2714
2814
298
3025
3111
3213
3317
348
3524
3618
3718
3818
3912
408
4115
4211
436
4415
455
4617
473
482
499
67.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.4057971014492754
totalSentences69
uniqueOpeners28
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences56
matches
0"Suddenly, a commotion erupted to"
1"Slowly, she lowered her gun,"
ratio0.036
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount8
totalSentences56
matches
0"She had been tailing the"
1"Her target, a young man"
2"He picked up his pace,"
3"Her eyes narrowed as she"
4"She made her way through"
5"She reached the bookshelf, her"
6"She knew she was venturing"
7"She knew she was taking"
ratio0.143
67.14% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences56
matches
0"The rain pattered against the"
1"She had been tailing the"
2"Her target, a young man"
3"Harlow's jaw tightened as she"
4"The tires screeched as she"
5"Tomás glanced over his shoulder,"
6"He picked up his pace,"
7"Harlow followed, her heart pounding,"
8"This was her chance to"
9"The alley led to a"
10"Tomás didn't hesitate, taking them"
11"Harlow cursed under her breath,"
12"The air grew colder and"
13"Tomás had vanished, but she"
14"The tunnel opened up into"
15"Harlow paused, her senses on"
16"The space was bustling with"
17"Her eyes narrowed as she"
18"Tomás had disappeared into the"
19"She made her way through"
ratio0.786
89.29% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences56
matches
0"Just as she was about"
ratio0.018
69.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences39
technicalSentenceCount4
matches
0"He picked up his pace, dodging pedestrians and darting between parked cars."
1"Harlow followed, her heart pounding, adrenaline coursing through her veins."
2"Taking a deep breath, she pressed on, her footsteps splashing through shallow puddles."
3"Harlow scanned the space, her eyes narrowing as she spotted Tomás standing across the room, his expression unreadable."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
73.08% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Harlow growled (growl)"
dialogueSentences13
tagDensity0.077
leniency0.154
rawRatio1
effectiveRatio0.154
84.9588%