Run: 2026-02-19-01KHTQW5TQGJFHZ8GFJ2BWVXAX

Run Details

Duration:
13.6s
Cost:
$0.027230
Provider:
Azure

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 pushed through the wet night, her boots splashing in the puddles that lined the narrow alleyways of Soho. Rain whipped at her face, each drop hitting her like tiny, cold slaps. The suspect was just ahead, a dark figure darting in and out of shadows, his movements hurried but calculated. Harlow’s breath came out in sharp puffs as her long legs carried her forward with determined strides. She couldn't lose him—not after all the effort it took to track him down. The distinctive green neon sign of The Raven's Nest flickered at the edge of her vision. The temptation to get Tommy’s help swirled in her mind but vanished just as quickly. There was no time. She grabbed at the worn leather watch on her wrist, feeling its familiar weight. 18 years on the force had taught her to trust her instincts, and right now, they screamed one thing: don’t let him out of sight. She rounded a corner just as the suspect disappeared down a staircase. Harlow blinked away raindrops, her sharp jawline tightening. The staircase led to the underground, notorious and labyrinthine. She hesitated for a fraction of a second, then plunged down the steps, a beast in pursuit of its prey. The stairwell twisted and darkened, the overhead lights diminished from grimy neglect. The pounding rain became a distant noise as she descended into the bowels beneath Camden. She gripped the railing through the slipperiness, concentrated on the dim figure ahead. Her breath echoed off the walls, forming a cadence with her racing heart. At the bottom, he turned sharply, sprinting toward a rusted gate entwined with faded bunting. A bone token dangled from his hand. She watched the gatekeeper accept it and lift the barrier. Without stopping to think, Quinn lunged forward, catching the gatekeeper’s attention. His eyes narrowed, but recognition flashed before he could block her path. "Herrera!" Harlow barked, catching the man’s eye for a split second. The gatekeeper, a man in his forties with an angular face, hesitated. It was enough. She slammed her shoulder into the gate. Once past, the atmosphere shifted dramatically. This was The Veil Market, the infamous supernatural black market. Her senses heightened immediately—the mingling scents of enchantments, the hushed whispers of illicit deals. The suspect wove through the crowd with practiced ease. Harlow clenched her jaw, accelerating her pace. Feeling eyes on her, she tightened her grip on her sidearm, unconsciously trying to meld into the crowd. Stalls lined the damp, grimy walls of the defunct Tube station, each peddling forbidden items. A flicker of movement to her left—a waft of potent incense—threatened to distract her, but she stayed focused. Enchanted wares glittered, promising everything from impossible strength to devastating curses. Information brokering likely thrived in these shadows as well, secrets whispered for a price. Harlow ducked beneath a low-hanging sign made of twisted iron and bone, faintly glowing with runes she couldn't decipher. It emitted an eerie hum, setting her teeth on edge. She stifled the discomfort and pressed forward, eyes locked on the suspect. He maneuvered effortlessly, communicating in nods and gestures with the vendors. A few more feet, she told herself. Her breath was strained but steady. The chase became a dance between predator and prey, steps mirroring each other until Harlow noted a subtle shift in the suspect’s rhythm. He was close to something—or someone. The hidden room behind the bookshelf, a layer of clandestine dealings overlaid on top of the visible market. "Damn it,” she muttered to herself. She wasn’t used to this kind of chase. Not since the Old Bailey Incident. The suspect turned, meeting her eyes in brief surprise. Then. He bolted towards the rear where a large wooden bookshelf stood, flanked by two gargoyles almost seeming to guard the entrance. Without breaking his stride, he reached into a crevice, twisting what appeared to be nothing more than a broken shelf end. The shelf groaned open, revealing a pathway to darkness. Harlow reached the entrance just as it groaned shut. She glanced over her shoulder. The Veil Market’s cacophony almost dulled as the customers' and sellers' eyes slid to her, unspoken questions hovering in the air. “Herrera!” she gasped, struggling against her breath and the weight of the decision. Follow into dangerous unknowns or pull back, regroup. A voice called from within her – not Tommy’s voice, but her old partner, Morris. The turmoil of that memory clenched her heart. Was this what got him killed? She shook it off, steeling herself. Without second thought, she plunged into the darkness after her suspect. The passageway loomed like a maw, swallowing her whole. The cool darkness replaced the oppressive heat and noise of the Market. For a moment, silence clung to her like a shroud, broken only by the hurried footsteps now echoing ahead of her. The floor was uneven, forcing her steps to follow an unfamiliar rhythm. Walls closed in, dampness seeping into her pores. Stale air accented with mold threatened to choke her resolve. Her fingers brushed the outline of her firearm, the cool metal a reminder of her duty. Each cautious step brought her deeper into the underbelly. Ahead, the faint shuffle betrayed the suspect’s position. Harlow moved, eyes adjusting to the dim light. Shapes emerged like spectres only to vanish just as quick. Suddenly, a silhouette lunged from cover, barreling into her. They crashed together, bodies skidding across the slick floor. Her training took over. Feet kicked up, she twisted, aimed to dislodge him. A flash of steel in the dim light—the knife thrusted towards her. Instinctively, she wrenched his arm, twisted, and felt the knife cut nothing but air. The fight was raw, desperate. “No more running!” her voice echoed. His eyes wild, glittering in anxiety and anger, he pulled free, tried another slash. Harlow caught his wrist, applied pressure till his grip faltered, then slammed his body against the wall. He grunted, a swear escaping his lips. “Who are you working for?” she demanded, breath rough, her voice carrying a dangerous edge. His eyes darted, seeking escape even now. Beaten, yet not broken. Shadows moved around them. Harlow knew she couldn't hold him here long. She pulled his arm twisted further, digging deeper into the pain. She saw Tommy’s scar, the memories of rule-breaking decisions. Tommy wouldn’t flinch now. Neither would she. “Talk!” she pressed, feeling the rare moment of human frailty. The suspect's breath hitched, trapped between pain and secrets. No words came. Nothing but the sound of rain from above, rushing ever forward. Choices echoed. A city soaked in shadows would eventually spit out the truth. For now, her eyes flickered to the darkness, waiting for the reveal. This chase wasn’t over. It had only just begun.
created_at"2026-02-19T10:42:03.739Z" 2/19/2026, 10:42:03 AM
model"openai/gpt-4o-2024-05-13"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency633
moderation_latency(null)
generation_time13497
tokens_prompt1140
tokens_completion1790
native_tokens_prompt985
native_tokens_completion1487
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"
usage0.02723
router(null)
provider_responses
0
endpoint_id"ef6b0afa-fd92-4db6-96e0-b8f0e5e4734b"
id"chatcmpl-DAvlrh0cdtvA78cJweOK5E3b7T10L"
is_byokfalse
latency327
model_permaslug"openai/gpt-4o-2024-05-13"
provider_name"Azure"
status200
api_type"completions"
id"gen-1771497723-KjJInSjoEV57YwO8WUvl"
upstream_id"chatcmpl-DAvlrh0cdtvA78cJweOK5E3b7T10L"
total_cost0.02723
cache_discount(null)
upstream_inference_cost0
provider_name"Azure"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags6
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity1
leniency1
rawRatio0
effectiveRatio0
86.76% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1133
totalAiIsmAdverbs3
found
0
adverb"quickly"
count1
1
adverb"sharply"
count1
2
adverb"suddenly"
count1
highlights
0"quickly"
1"sharply"
2"suddenly"
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)
wordCount1133
totalAiIsms27
found
0
word"calculated"
count1
1
word"determined"
count1
2
word"flickered"
count2
3
word"familiar"
count1
4
word"weight"
count2
5
word"pounding"
count1
6
word"echoed"
count3
7
word"racing"
count1
8
word"practiced ease"
count1
9
word"flicker"
count1
10
word"dance"
count1
11
word"predator"
count1
12
word"clandestine"
count1
13
word"cacophony"
count1
14
word"unspoken"
count1
15
word"loomed"
count1
16
word"maw"
count1
17
word"oppressive"
count1
18
word"silence"
count1
19
word"footsteps"
count1
20
word"echoing"
count1
21
word"resolve"
count1
22
word"reminder"
count1
highlights
0"calculated"
1"determined"
2"flickered"
3"familiar"
4"weight"
5"pounding"
6"echoed"
7"racing"
8"practiced ease"
9"flicker"
10"dance"
11"predator"
12"clandestine"
13"cacophony"
14"unspoken"
15"loomed"
16"maw"
17"oppressive"
18"silence"
19"footsteps"
20"echoing"
21"resolve"
22"reminder"
33.33% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches3
maxInWindow3
found
0
label"eyes widened/narrowed"
count1
1
label"clenched jaw/fists"
count1
2
label"without second thought"
count1
highlights
0"eyes narrowed"
1"clenched her jaw"
2"Without second thought"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences104
matches
0"g in anxiety"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences104
filterMatches
0"watch"
hedgeMatches
0"appeared to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1126
ratio0
matches(empty)
93.75% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions1
matches
0"A few more feet, she told herself."
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount1100
uniqueNames15
maxNameDensity1
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Harlow11
Quinn2
Soho1
Raven1
Nest1
Tommy4
Camden1
Veil2
Market3
Tube1
Old1
Bailey1
Incident1
Follow1
Morris1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Tommy"
5"Market"
6"Old"
7"Bailey"
8"Morris"
places
0"Soho"
1"Follow"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences88
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.888
wordCount1126
matches
0"not Tommy’s voice, but her old partner, Morris"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences104
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean40.21
std22.15
cv0.551
sampleLengths
084
174
249
353
455
511
622
764
858
952
1060
1120
1261
1335
1444
156
1659
1755
1826
1962
206
2138
2215
2350
2410
2523
2625
279
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences104
matches
0"was strained"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs207
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences104
ratio0.058
matches
0"She couldn't lose him—not after all the effort it took to track him down."
1"Her senses heightened immediately—the mingling scents of enchantments, the hushed whispers of illicit deals."
2"A flicker of movement to her left—a waft of potent incense—threatened to distract her, but she stayed focused."
3"He was close to something—or someone."
4"A voice called from within her – not Tommy’s voice, but her old partner, Morris."
5"A flash of steel in the dim light—the knife thrusted towards her."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount692
adjectiveStacks1
stackExamples
0"infamous supernatural black market."
adverbCount17
adverbRatio0.024566473988439308
lyAdverbCount8
lyAdverbRatio0.011560693641618497
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean10.83
std5.08
cv0.469
sampleLengths
021
113
219
317
414
516
615
74
814
925
1012
118
129
1320
1412
1515
1613
1713
1815
197
2010
2111
2212
2311
2412
253
267
276
2810
2914
309
317
3218
3315
3418
3511
3614
3719
3810
3912
4011
417
426
4323
446
4518
466
478
486
499
68.27% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4326923076923077
totalSentences104
uniqueOpeners45
98.04% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences102
matches
0"Once past, the atmosphere shifted"
1"Suddenly, a silhouette lunged from"
2"Instinctively, she wrenched his arm,"
ratio0.029
86.67% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount34
totalSentences102
matches
0"She couldn't lose him—not after"
1"She grabbed at the worn"
2"She rounded a corner just"
3"She hesitated for a fraction"
4"She gripped the railing through"
5"Her breath echoed off the"
6"She watched the gatekeeper accept"
7"His eyes narrowed, but recognition"
8"It was enough."
9"She slammed her shoulder into"
10"Her senses heightened immediately—the mingling"
11"It emitted an eerie hum,"
12"She stifled the discomfort and"
13"He maneuvered effortlessly, communicating in"
14"Her breath was strained but"
15"He was close to something—or"
16"she muttered to herself"
17"She wasn’t used to this"
18"He bolted towards the rear"
19"She glanced over her shoulder."
ratio0.333
62.94% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount81
totalSentences102
matches
0"Detective Harlow Quinn pushed through"
1"Rain whipped at her face,"
2"The suspect was just ahead,"
3"Harlow’s breath came out in"
4"She couldn't lose him—not after"
5"The distinctive green neon sign"
6"The temptation to get Tommy’s"
7"She grabbed at the worn"
8"She rounded a corner just"
9"Harlow blinked away raindrops, her"
10"The staircase led to the"
11"She hesitated for a fraction"
12"The stairwell twisted and darkened,"
13"The pounding rain became a"
14"She gripped the railing through"
15"Her breath echoed off the"
16"A bone token dangled from"
17"She watched the gatekeeper accept"
18"His eyes narrowed, but recognition"
19"Harlow barked, catching the man’s"
ratio0.794
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences102
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences52
technicalSentenceCount1
matches
0"Detective Harlow Quinn pushed through the wet night, her boots splashing in the puddles that lined the narrow alleyways of Soho."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags6
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount5
fancyTags
0"Harlow barked (bark)"
1"she muttered (mutter)"
2"she gasped (gasp)"
3"she demanded (demand)"
4"she pressed (press)"
dialogueSentences6
tagDensity0.833
leniency1
rawRatio1
effectiveRatio1
80.7920%