Run: 2026-02-19-01KHTQRN0TRHDXFH1CT1M66NV6

Run Details

Duration:
25.6s
Cost:
$0.002275
Provider:
DeepInfra

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
Rain lashed down on the Soho streets, casting a misty veil over the neon signs that lined the pavement. Detective Harlow Quinn's eyes, narrowed against the downpour, locked onto the fleeing figure of Tomás Herrera as he dodged pedestrians on Wardour Street. Her military-honed bearing allowed her to eat up the distance, her worn leather watch glinting in the fragmented light. "Herrera, stop!" Quinn's voice cut through the rain's patter, but Tomás didn't flinch, his short curly brown hair plastered to his skull. He vanished into the crowd surging towards the Tube entrance. Quinn sprinted after him, shouldering through the throng with a curt "Met Police, move!" Her sharp jaw set in determination, she burst through the Tube gates just as the doors slid shut behind Tomás. A train roared out of the station, leaving Quinn panting on the deserted platform. Tomás reappeared at the far end of the platform, his Saint Christopher medallion glinting as he leapt down onto the tracks. Quinn hesitated for a heartbeat, her eyes adjusting to the dimmer light below. The air was heavy with the stench of decay and grease. "You bloody idiot, Herrera!" she muttered, holstered pistol heavy against her hip, as she dropped down onto the tracks, her eyes scanning the darkness for any sign of movement. The only sound was the creaking of old infrastructure and the distant thrum of a hidden generator. As she followed Tomás into the depths of the tunnel system, the walls began to change – peeling advertisements gave way to ancient brickwork, and the air thickened with the scent of smoke and something else... incense? Quinn's grip on her pistol tightened; this was no ordinary part of the Tube. The tunnel opened up into a vast, abandoned station, the vaulted ceiling lost in darkness. Quinn's footsteps echoed off the walls as she entered, her eyes gradually adjusting to the warm, golden light that permeated the space. Stalls and makeshift vendors filled the platform, peddling goods that made her skin crawl – jars of glowing, pulsing liquids, and artifacts that seemed to ripple with a malevolent energy. "Welcome to the Veil Market," a low, husky voice drawled from a nearby stall, "where the rare and... unobtainable are within your grasp." Quinn's gaze swept past the speaker, locking onto Tomás as he wove through the crowd, disappearing into the heart of the market. Her mind reeled – this was what she'd been searching for, the clandestine underbelly of the city's supernatural scene. But with every step, she felt the ground beneath her feet becoming increasingly treacherous. A figure emerged from the crowd, a delicate bone token held out on a velvet cushion. "Entry fee, Detective?" the figure asked, eyes glinting with amusement, as if daring her to take the token. Quinn's hand instinctively went to her pistol, then hesitated. She knew the stories – once you accepted a token, you were bound by the Veil Market's rules... rules that often ended with the 'guest' becoming a permanent resident. But Tomás was slipping further away by the second. "Decision time, Detective," she whispered to herself, the rain-soaked streets above a distant memory. The token seemed to pulsate in the dim light, a siren's call into the unknown. "A question," Quinn said finally, her voice firm, "what's the price of the token... tonight?" The figure chuckled, the sound like ice clinking in a glass. "Oh, just a little memory, Detective... one you'll hardly even miss." Quinn's eyes narrowed, her mind racing with the implications. She could back out, call for backup, and risk losing Tomás in the labyrinthine market. Or she could take the token, and descend into a world where the rules of her city no longer applied. As she looked out into the sea of faces, all watching her with bated breath, Quinn knew that the decision she made next would change everything. The bone token remained, poised, waiting for her response... Tomás's Saint Christopher medallion glinted in the distance, a fleeting glimpse before he vanished into the crowd, leaving Quinn with a single, haunting word: "Run."
created_at"2026-02-19T10:40:08.222Z" 2/19/2026, 10:40:08 AM
model"nvidia/llama-3.1-nemotron-70b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency220
moderation_latency(null)
generation_time25557
tokens_prompt1184
tokens_completion1063
native_tokens_prompt995
native_tokens_completion901
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"
usage0.0022752
router(null)
provider_responses
0
endpoint_id"d2a33d30-5d41-47d3-a816-1cc067b5a7dd"
id"cmpl-9c22f489ef484b6eac0df890542cc918"
is_byokfalse
latency63
model_permaslug"nvidia/llama-3.1-nemotron-70b-instruct"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771497608-KROBsLaht266OFMyAZnA"
upstream_id"cmpl-9c22f489ef484b6eac0df890542cc918"
total_cost0.0022752
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
57.14% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount1
adverbTags
0"Quinn said finally [finally]"
dialogueSentences9
tagDensity0.778
leniency1
rawRatio0.143
effectiveRatio0.143
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount677
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)
3.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount677
totalAiIsms13
found
0
word"glinting"
count3
1
word"fragmented"
count1
2
word"scanning"
count1
3
word"depths"
count1
4
word"footsteps"
count1
5
word"echoed"
count1
6
word"clandestine"
count1
7
word"treacherous"
count1
8
word"velvet"
count1
9
word"racing"
count1
10
word"fleeting"
count1
highlights
0"glinting"
1"fragmented"
2"scanning"
3"depths"
4"footsteps"
5"echoed"
6"clandestine"
7"treacherous"
8"velvet"
9"racing"
10"fleeting"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"air was thick with"
count1
highlights
0"eyes narrowed"
1"The air was heavy with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences38
matches
0"t in determination"
0.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount3
narrationSentences38
filterMatches
0"watch"
hedgeMatches
0"began to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences40
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords679
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
45.83% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions36
wordCount624
uniqueNames12
maxNameDensity2.08
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn13
Tomás9
Herrera1
Wardour1
Street1
Tube3
Saint2
Christopher2
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Tomás"
3"Herrera"
4"Saint"
5"Christopher"
6"Market"
places
0"Soho"
1"Wardour"
2"Street"
3"Tube"
globalScore0.458
windowScore0.833
14.86% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences37
glossingSentenceCount2
matches
0"artifacts that seemed to ripple with a malevolent energy"
1"as if daring her to take the token"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount679
matches(empty)
83.33% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences40
matches
0"knew that the"
96.27% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean35.74
std17.4
cv0.487
sampleLengths
061
132
248
345
446
551
667
723
855
934
1047
1129
1215
1322
1444
1526
169
1724
181
96.03% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences38
matches
0"were bound"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs103
matches
0"was slipping"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount1
flaggedSentences5
totalSentences40
ratio0.125
matches
0"As she followed Tomás into the depths of the tunnel system, the walls began to change – peeling advertisements gave way to ancient brickwork, and the air thickened with the scent of smoke and something else..."
1"Quinn's grip on her pistol tightened; this was no ordinary part of the Tube."
2"Stalls and makeshift vendors filled the platform, peddling goods that made her skin crawl – jars of glowing, pulsing liquids, and artifacts that seemed to ripple with a malevolent energy."
3"Her mind reeled – this was what she'd been searching for, the clandestine underbelly of the city's supernatural scene."
4"She knew the stories – once you accepted a token, you were bound by the Veil Market's rules..."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount481
adjectiveStacks1
stackExamples
0"short curly brown hair"
adverbCount12
adverbRatio0.02494802494802495
lyAdverbCount7
lyAdverbRatio0.014553014553014554
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences40
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences40
mean16.98
std7.6
cv0.448
sampleLengths
019
123
219
322
410
534
614
721
813
911
1029
1117
1236
131
1414
1515
1622
1730
1823
1922
2019
2114
2216
2318
249
2518
2611
279
2814
2915
3015
3111
3211
339
3415
3520
3626
379
3824
391
91.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.55
totalSentences40
uniqueOpeners22
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences37
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences37
matches
0"Her military-honed bearing allowed her"
1"He vanished into the crowd"
2"she muttered, holstered pistol heavy"
3"Her mind reeled – this"
4"She knew the stories –"
5"she whispered to herself, the"
6"She could back out, call"
ratio0.189
27.57% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount32
totalSentences37
matches
0"Rain lashed down on the"
1"Detective Harlow Quinn's eyes, narrowed"
2"Her military-honed bearing allowed her"
3"Quinn's voice cut through the"
4"He vanished into the crowd"
5"Quinn sprinted after him, shouldering"
6"A train roared out of"
7"Tomás reappeared at the far"
8"Quinn hesitated for a heartbeat,"
9"The air was heavy with"
10"she muttered, holstered pistol heavy"
11"The only sound was the"
12"Quinn's grip on her pistol"
13"The tunnel opened up into"
14"Quinn's footsteps echoed off the"
15"Stalls and makeshift vendors filled"
16"a low, husky voice drawled"
17"Quinn's gaze swept past the"
18"Her mind reeled – this"
19"A figure emerged from the"
ratio0.865
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences37
matches(empty)
ratio0
85.71% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount2
matches
0"Quinn's footsteps echoed off the walls as she entered, her eyes gradually adjusting to the warm, golden light that permeated the space."
1"Stalls and makeshift vendors filled the platform, peddling goods that made her skin crawl – jars of glowing, pulsing liquids, and artifacts that seemed to rippl…"
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount1
matches
0"Quinn said finally, her voice firm,"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount3
fancyTags
0"she muttered (mutter)"
1"husky voice drawled (drawl)"
2"she whispered (whisper)"
dialogueSentences9
tagDensity0.556
leniency1
rawRatio0.6
effectiveRatio0.6
67.2216%