Run: 2026-02-19-01KHTQY5ZRDJ687NH5887Y12CC

Run Details

Duration:
22.5s
Cost:
$0.001753
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
Detective Harlow Quinn charged through the rain-soaked streets of London, her shoes slapping against the wet pavement. The suspect, a hooded figure, darted ahead, weaving through the late-night crowds. The streetlights reflected off the slick roads, casting an eerie glow across the city. "Police! Stop!" Harlow yelled, her voice nearly lost amidst the pounding rain and rumble of distant thunder. The suspect ignored her command, instead ducking into a narrow alleyway between two brick buildings. Harlow followed close behind, her heart hammering as she turned the corner. The suspect was gone. She scanned the alley, her eyes narrowing as she caught a glimpse of a faint green light in the distance. It emanated from beneath an old, battered door, its paint peeling and hinges rusted. She heard the creak of the door opening and saw the suspect's muddy footprints leading inside. With a deep breath, Harlow followed. Inside, the air was thick with the scents of exotic spices and the acrid tang of smoke. Dim lanterns hung from the ceiling, casting flickering shadows against the walls. Wooden stalls lined the crowded underground space, each displaying an array of peculiar objects - glinting amulets, bubbling potions, ancient books with cracked spines. Harlow shouldered her way through the crowded market, her gaze sweeping the area for any sign of the suspect. The cacophony of voices, the clamor of haggling and bartering, filled her ears. "Out of the way, luv," grunted a burly man as he brushed past her, carrying a crate of squirming, glowing insects. A woman with a shaved head and intricate tattoos snaking up her arms eyed Harlow warily, her fingers tightening around a large, curved blade at her hip. "Lost, dearie?" rasped a crone, peering at Harlow through a curtain of stringy, white hair. "This ain't no place for the likes of you." Harlow ignored them all, her focus singular - find the suspect. She pressed forward, deeper into the teeming market, her hand hovering over the reassuring weight of her baton. At last, she spotted the hooded figure slipping through a curtained doorway. Harlow surged forward, shoving aside the heavy fabric. She found herself in a cramped room lit by a single, flickering lantern. "You've got some nerve following me here," the hooded figure - a man, judging by his voice - said as he turned to face her. "You're a long way from your usual beat, Detective." "I go where the case takes me," Harlow replied, her voice steady even as her heart hammered in her chest. "And right now, it's taking me to you. You're under arrest for the murder of DS Morris." The man laughed, a grating sound that echoed in the small space. "You've got no idea what you've stumbled into, do you? This isn't about some dead copper." Harlow's eyes narrowed. "Then what is it about?" "Power," a new voice purred from behind her. Harlow whirled to see a woman emerge from the shadows, her eyes glinting in the lantern light. "The power to change the world. The power we'll soon have, thanks to the secrets DS Morris uncovered." "What secrets?" Harlow demanded, her fists clenching. "What did Morris find that was worth killing him over?" The woman smiled, her teeth flashing in the darkness. "All in good time, Detective. All in good time." Harlow tensed, ready to spring into action...
created_at"2026-02-19T10:43:09.447Z" 2/19/2026, 10:43:09 AM
model"nousresearch/hermes-3-llama-3.1-405b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency757
moderation_latency(null)
generation_time22402
tokens_prompt1175
tokens_completion858
native_tokens_prompt996
native_tokens_completion757
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"
usage0.001753
router(null)
provider_responses
0
endpoint_id"3280e8f8-0960-400c-8284-2e03a0bcb446"
id"cmpl-3f649ecf1f684c2c8d5201a7d553d707"
is_byokfalse
latency358
model_permaslug"nousresearch/hermes-3-llama-3.1-405b"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771497789-6s3mN5diqrzXYbq5Yc1O"
upstream_id"cmpl-3f649ecf1f684c2c8d5201a7d553d707"
total_cost0.001753
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags7
adverbTagCount0
adverbTags(empty)
dialogueSentences15
tagDensity0.467
leniency0.933
rawRatio0
effectiveRatio0
91.01% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount556
totalAiIsmAdverbs1
found
0
adverb"warily"
count1
highlights
0"warily"
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)
1.08% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount556
totalAiIsms11
found
0
word"charged"
count1
1
word"amidst"
count1
2
word"pounding"
count1
3
word"scanned"
count1
4
word"glinting"
count2
5
word"cacophony"
count1
6
word"intricate"
count1
7
word"weight"
count1
8
word"echoed"
count1
9
word"clenching"
count1
highlights
0"charged"
1"amidst"
2"pounding"
3"scanned"
4"glinting"
5"cacophony"
6"intricate"
7"weight"
8"echoed"
9"clenching"
33.33% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches3
maxInWindow3
found
0
label"heart pounded in chest"
count1
1
label"eyes widened/narrowed"
count1
2
label"air was thick with"
count1
highlights
0"heart hammered in her chest"
1"eyes narrowed"
2"the air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences33
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences33
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences41
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
totalWords558
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions16
wordCount439
uniqueNames3
maxNameDensity3.19
worstName"Harlow"
maxWindowNameDensity4.5
worstWindowName"Harlow"
discoveredNames
Harlow14
Quinn1
London1
persons
0"Harlow"
1"Quinn"
places
0"London"
globalScore0
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences30
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount558
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences41
matches(empty)
83.51% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean31
std13.71
cv0.442
sampleLengths
043
148
256
353
432
521
627
724
829
933
1034
1137
1228
138
1443
1517
1618
177
94.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences33
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs83
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences41
ratio0.073
matches
0"Wooden stalls lined the crowded underground space, each displaying an array of peculiar objects - glinting amulets, bubbling potions, ancient books with cracked spines."
1"Harlow ignored them all, her focus singular - find the suspect."
2"\"You've got some nerve following me here,\" the hooded figure - a man, judging by his voice - said as he turned to face her."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount437
adjectiveStacks0
stackExamples(empty)
adverbCount6
adverbRatio0.013729977116704805
lyAdverbCount3
lyAdverbRatio0.006864988558352402
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences41
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences41
mean13.61
std5.63
cv0.414
sampleLengths
017
112
214
317
415
512
64
720
814
916
106
1117
1212
1324
1419
1513
1621
1727
1815
199
2011
2118
2212
238
2413
2525
269
2720
2817
2912
3016
313
325
338
3417
3518
367
3710
389
399
407
82.11% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.5365853658536586
totalSentences41
uniqueOpeners22
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences33
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount5
totalSentences33
matches
0"She scanned the alley, her"
1"It emanated from beneath an"
2"She heard the creak of"
3"She pressed forward, deeper into"
4"She found herself in a"
ratio0.152
66.06% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount26
totalSentences33
matches
0"Detective Harlow Quinn charged through"
1"The suspect, a hooded figure,"
2"The streetlights reflected off the"
3"Harlow yelled, her voice nearly"
4"The suspect ignored her command,"
5"Harlow followed close behind, her"
6"The suspect was gone."
7"She scanned the alley, her"
8"It emanated from beneath an"
9"She heard the creak of"
10"Harlow shouldered her way through"
11"The cacophony of voices, the"
12"A woman with a shaved"
13"Harlow ignored them all, her"
14"She pressed forward, deeper into"
15"Harlow surged forward, shoving aside"
16"She found herself in a"
17"the hooded figure - a"
18"Harlow replied, her voice steady"
19"The man laughed, a grating"
ratio0.788
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences33
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount1
matches
0"A woman with a shaved head and intricate tattoos snaking up her arms eyed Harlow warily, her fingers tightening around a large, curved blade at her hip."
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags7
uselessAdditionCount1
matches
0"Harlow demanded, her fists clenching"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount4
fancyTags
0"Harlow yelled (yell)"
1"he brushed (brush)"
2"a man judging (a man judging)"
3"Harlow demanded (demand)"
dialogueSentences15
tagDensity0.333
leniency0.667
rawRatio0.8
effectiveRatio0.533
73.5103%