Run: 2026-02-19-01KHTY2CKDHQ30K3EFTDDS1GKD

Run Details

Duration:
1m 14s
Cost:
$0.001437
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
The rain hammered down, turning the slick pavement of Soho into a mosaic of neon reflections. Detective Harlow Quinn sprinted down the narrow alley, her breath misting in the cold air. Ahead, a figure darted around a corner, their coat flapping like a bat’s wing. She adjusted her grip on her flashlight, the beam cutting through the downpour. “Stop! Metropolitan Police!” The suspect didn’t slow. They skidded around another corner, vanishing into the shadows. Quinn swore under her breath, her boots splashing through puddles as she followed. Her sharp jaw tightened, her salt-and-pepper hair plastered to her scalp. The worn leather watch on her wrist ticked away the seconds, a constant reminder of time slipping through her fingers. She rounded the corner, her flashlight catching glimpses of the suspect’s movements—a flash of a hood, the glint of something metallic in their hand. The alley narrowed, the walls closing in like a trap. She pushed harder, her military precision driving her forward. The suspect was heading toward The Raven’s Nest, the green neon sign above the entrance flickering weakly in the storm. “Don’t make this harder than it has to be!” The suspect lunged through the bar’s door, slamming it shut behind them. Quinn didn’t hesitate. She barrelled into the door, the wood groaning as it swung open. The dimly lit interior of The Raven’s Nest greeted her, the air thick with the smell of stale beer and damp leather. Patrons glanced up from their drinks, their faces shadowed by the low light. “Where’d they go?” No one answered. She scanned the room, her flashlight cutting through the haze. The suspect was gone. Her eyes darted to the back of the bar, where the bookshelf stood slightly ajar. Her jaw clenched. She didn’t have time for games. She strode toward the bookshelf, her boots leaving wet prints on the wooden floor. She shoved it aside, revealing the hidden back room. The air inside was colder, a draft creeping through a crack in the wall. She stepped in, her flashlight catching the edge of a trapdoor in the floor. “Damn it.” She crouched, her fingers finding the metal handle. The trapdoor was heavy, the hinges protesting as she lifted it. A narrow staircase descended into darkness, the faint echo of footsteps drifting up from below. She hesitated for a moment, her fingers brushing the worn leather of her watch. The memory of her partner, Morris, flashed in her mind—his face pale, his eyes wide with fear as he vanished into the unknown. Her jaw tightened. She wouldn’t lose another one. The staircase creaked under her weight as she descended, the beam of her flashlight cutting through the gloom. Moisture seeped through the stone walls, the air thick with the smell of earth and decay. The footsteps ahead grew louder, echoing through the narrow passage. The staircase opened into a cavernous space, the walls lined with stalls and makeshift booths. The place was alive with activity, figures moving in the shadows, their faces obscured by hoods and masks. The Veil Market. She stepped into the fray, her flashlight drawing wary glances. The stalls were crammed with strange artifacts—jars filled with glowing liquids, bones carved into intricate shapes, books bound in what looked like human skin. The air buzzed with whispered conversations, the clink of coins, the rustle of parchment. She scanned the crowd, searching for the suspect. Her flashlight caught the edge of a hooded figure slipping between two stalls. “Stop!” The figure froze, then bolted. Quinn swore, shoving her way through the crowd. The market seemed to close in around her, the stalls forming a labyrinth of shadows. She pushed past a vendor selling vials of shimmering powder, their curses trailing after her. “Out of the way!” She caught sight of the suspect again, their hood slipping as they sprinted toward a set of arched tunnels. Quinn followed, her flashlight bouncing off the damp walls. The tunnels branched off in every direction, the sound of footsteps echoing from all sides. She paused, her breath ragged, and listened. The footsteps grew fainter, disappearing into the maze. Her jaw tightened. She couldn’t lose them now. She chose a tunnel at random, the beam of her flashlight carving a path through the darkness. The air grew colder, the walls slick with moisture. The sound of dripping water filled the silence, the occasional whisper of movement making her pause. The tunnel opened into a small chamber, the walls lined with shelves filled with jars and books. The suspect stood in the center, their back to her. “End of the line.” The figure turned slowly, their hood falling away to reveal a face she recognized. “Tommy?” Tomás Herrera looked at her with warm brown eyes, his short curly hair damp from the rain. He wore a Saint Christopher medallion around his neck, the scar along his left forearm catching the light. “Harlow. Didn’t expect to see you down here.” “What the hell are you doing running from me?” He smirked, though there was a tension in his shoulders. “I wasn’t running from you. I was running *to* something.” “Care to elaborate?” He glanced over her shoulder, his face hardening. “Not here. Not now.” She followed his gaze, catching movement in the shadows. Figures emerged from the tunnels, their faces obscured, their hands clutching weapons. “Tommy...” “I’ll explain later. Right now, we need to move.” She hesitated, her fingers brushing the worn leather of her watch. The memory of Morris flashed again, his face pale, his eyes wide. “Trust me,” Tommy said, his voice low. She nodded. “Lead the way.”
created_at"2026-02-19T12:30:18.739Z" 2/19/2026, 12:30:18 PM
model"deepseek/deepseek-chat-v3"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1346
moderation_latency(null)
generation_time73987
tokens_prompt1140
tokens_completion1518
native_tokens_prompt1002
native_tokens_completion1254
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"
usage0.0014367
router(null)
provider_responses
0
endpoint_id"5294d55f-9012-496b-8f22-8cc919432dcd"
id"chatcmpl-R6z38LXIGSiboNTgqmIDiAEt"
is_byokfalse
latency82
model_permaslug"deepseek/deepseek-chat-v3"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771504218-1ib4QUGCy0AWZBn7XILE"
upstream_id"chatcmpl-R6z38LXIGSiboNTgqmIDiAEt"
total_cost0.0014367
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences17
tagDensity0.059
leniency0.118
rawRatio0
effectiveRatio0
89.33% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount937
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"slowly"
count1
highlights
0"slightly"
1"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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount937
totalAiIsms19
found
0
word"mosaic"
count1
1
word"reminder"
count1
2
word"glint"
count1
3
word"scanned"
count2
4
word"jaw clenched"
count1
5
word"echo"
count1
6
word"footsteps"
count4
7
word"weight"
count1
8
word"gloom"
count1
9
word"echoing"
count2
10
word"intricate"
count1
11
word"silence"
count1
12
word"whisper"
count1
13
word"tension"
count1
highlights
0"mosaic"
1"reminder"
2"glint"
3"scanned"
4"jaw clenched"
5"echo"
6"footsteps"
7"weight"
8"gloom"
9"echoing"
10"intricate"
11"silence"
12"whisper"
13"tension"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences73
matches
0"e with fear"
64.58% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount3
hedgeCount1
narrationSentences73
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)
analyzedSentences89
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords932
ratio0.001
matches
0"to"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions18
wordCount856
uniqueNames11
maxNameDensity0.58
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn5
Raven2
Nest2
Morris2
Veil1
Market1
Herrera1
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Morris"
5"Market"
6"Herrera"
7"Saint"
8"Christopher"
places
0"Soho"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount1
matches
0"looked like human skin"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount932
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences89
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs38
mean24.53
std21.41
cv0.873
sampleLengths
058
13
257
363
49
562
63
741
851
92
1071
118
1244
1336
1448
1521
161
1743
184
1950
2016
2142
2227
234
2414
251
2635
278
289
2920
303
3112
3221
331
349
3523
367
375
95.65% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences73
matches
0"was gone"
1"were crammed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs153
matches
0"was heading"
46.55% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences3
totalSentences89
ratio0.034
matches
0"She rounded the corner, her flashlight catching glimpses of the suspect’s movements—a flash of a hood, the glint of something metallic in their hand."
1"The memory of her partner, Morris, flashed in her mind—his face pale, his eyes wide with fear as he vanished into the unknown."
2"The stalls were crammed with strange artifacts—jars filled with glowing liquids, bones carved into intricate shapes, books bound in what looked like human skin."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount861
adjectiveStacks0
stackExamples(empty)
adverbCount15
adverbRatio0.017421602787456445
lyAdverbCount5
lyAdverbRatio0.005807200929152149
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences89
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences89
mean10.47
std5.75
cv0.549
sampleLengths
016
115
214
313
43
54
69
713
811
920
1024
1110
129
1320
149
1512
163
1712
1822
1913
203
213
2210
234
2415
253
266
2714
289
2914
3014
312
328
3311
3415
3514
3623
373
385
3918
4016
4110
4215
4318
443
4510
4624
4714
488
4913
40.07% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.3146067415730337
totalSentences89
uniqueOpeners28
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences72
matches(empty)
ratio0
47.78% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences72
matches
0"She adjusted her grip on"
1"They skidded around another corner,"
2"Her sharp jaw tightened, her"
3"She rounded the corner, her"
4"She pushed harder, her military"
5"She barrelled into the door,"
6"She scanned the room, her"
7"Her eyes darted to the"
8"Her jaw clenched."
9"She didn’t have time for"
10"She strode toward the bookshelf,"
11"She shoved it aside, revealing"
12"She stepped in, her flashlight"
13"She crouched, her fingers finding"
14"She hesitated for a moment,"
15"Her jaw tightened."
16"She wouldn’t lose another one."
17"She stepped into the fray,"
18"She scanned the crowd, searching"
19"Her flashlight caught the edge"
ratio0.431
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount70
totalSentences72
matches
0"The rain hammered down, turning"
1"Detective Harlow Quinn sprinted down"
2"She adjusted her grip on"
3"The suspect didn’t slow."
4"They skidded around another corner,"
5"Quinn swore under her breath,"
6"Her sharp jaw tightened, her"
7"The worn leather watch on"
8"She rounded the corner, her"
9"The alley narrowed, the walls"
10"She pushed harder, her military"
11"The suspect was heading toward"
12"The suspect lunged through the"
13"Quinn didn’t hesitate."
14"She barrelled into the door,"
15"The dimly lit interior of"
16"Patrons glanced up from their"
17"She scanned the room, her"
18"The suspect was gone."
19"Her eyes darted to the"
ratio0.972
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences72
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount1
matches
0"She pushed past a vendor selling vials of shimmering powder, their curses trailing after her."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount1
matches
0"Tommy said, his voice low"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences17
tagDensity0.059
leniency0.118
rawRatio0
effectiveRatio0
76.1320%