Run: 2026-05-20-01KS25WEK4M3SPWHNDGM7SQYJC

Run Details

Duration:
10.2s
Cost:
$0.014631
Provider:
Google AI Studio

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 sliced through the neon glow of Camden High Street, blurring the headlights of passing cabs into smears of yellow and red. Detective Harlow Quinn adjusted the collar of her waxed jacket, her boots splashing through grease-slicked puddles. Water dripped from her cropped salt-and-pepper hair, ticking down her sharp jaw. She checked the worn leather watch on her left wrist. Midnight. Ahead, a figure in a heavy hooded parka darted through the crowd, shoving a tourist aside. Tomás Herrera. Quinn lunged into a jog, her military stride cutting through the Friday night drift of execution-style precision. She had chased suspects through every corner of London, but Herrera was different. The disgraced paramedic possessed a knack for vanishing into thin air, leaving behind nothing but the scent of ozone and copper. "Stop! Police!" Her voice cut through the drone of traffic. Herrera glinted under a streetlamp, his olive skin pale against the dark fabric of his hood. He glanced back, warm brown eyes wide with panic, before plunging down a narrow alleyway flanked by iron metal fire escapes. Quinn pursued, her lungs burning with the damp chill. Herrera slipped, his left forearm scraping against a rusted dumpster. The sleeve of his parka tore, exposing the jagged scar from a knife attack she had read about in his internal affairs file. He recovered his footing, gritting his teeth, and vaulted a low chain-link fence. Quinn vaulted the metal barrier behind him, landing heavy but solid. They were deep in the labyrinth behind the lock, where the scent of rotting canal water climbed the brickwork. Herrera wasn't running toward the main roads. He was heading for the boarded-up entrance of the old, defunct Tube station—a ghost stop closed since the Blitz. Herrera reached the plywood barrier blocking the entrance, rammed his shoulder against a loose plank, and vanished inside. Quinn halted at the gap. The dark maw of the station swallowed the street noise, leaving only the steady hum of generators vibrating through her boots. Dust and something sweet—like burnt sugar and dried lavender—drifted from the blackness. She reached under her jacket, her fingers wrapping around the grip of her baton. Her partner, Morris, had chased a lead into a dead-end basement three years ago and never walked out. The coroner blamed a sudden coronary, but Morris’s face had been frozen in a mask of absolute terror. Quinn stepped through the gap. Darkness enveloped her, thick and suffocating. She clicked on her tactical flashlight, the beam cutting through floating dust motes. Rubble littered the concrete stairs leading down into the earth. The air grew rapidly warmer, thick with moisture and the low, collective murmur of a crowd. Below, a soft, bioluminescent green light pulsed along the curved tiled walls of the abandoned platform. Quinn crept down the steps, keeping her back to the damp tiles. The stairs ended at a collapsed ticket barrier. Beyond it, the disused platform opened into a sprawling, subterranean bazaar that defied the geography of the London Underground. This was the Veil Market. Dozens of stalls lined the tracks, constructed from rusted scaffolding, silk canopy sheets, and polished bones. Merchants with shadowed faces argued over glass jars containing shifting smoke, bundles of dried roots that twitched like insect legs, and bottles of thick, iridescent liquids. A low rumble of bartering in languages that scraped against her ears filled the cavernous space. "Looking for something specific, dearie?" Quinn turned to find a merchant leaning over a counter piled with tarnished silver instruments. The seller's fingers were unnaturally long, ending in nails that resembled polished obsidian. "Moving through," Quinn said, her hand resting on her belt. She scanned the crowd, her gaze locking onto a flash of blue nylon. Herrera was weaving through the throng, pushing past a tall figure wrapped in heavy wool blankets. He was heading toward a stall decorated with hanging bird skulls. Quinn pressed forward, but a hulking figure in a leather apron stepped into her path. The scent of raw meat rolled off him, and his eyes glinted with a yellowish hue in the dim light. "Entry token," the brute grunted, holding out a massive, scarred hand. "No one walks the Market without paying the bone." Quinn slid her hand into her pocket, fingers wrapping around her gold warrant card. She knew instantly it would carry no weight here. Instead, her fingers brushed against an old ivory button she had confiscated from a suspect's pouch weeks ago—a strange piece carved with three interlocking circles. She withdrew it, pressing the cold object into the giant's palm. The brute inspected the ivory, snorted, and stepped aside. Quinn hurried through the gap, her eyes locked on Herrera. He had stopped at the back of the platform, speaking frantically to a vendor selling ancient, leather-bound journals. Handing a thick stack of banknotes to the vendor, Herrera received a small tin cylinder in return. He quickly tucked it inside his inner pocket. "Tommy," Quinn said, her voice dropping to a low, dangerous register as she stepped up behind him. Herrera stiffened, his hand flying to the Saint Christopher medallion hanging around his neck. He didn't turn around immediately. "You shouldn't be here, Detective," Herrera whispered, his voice trembling but urgent. "This place... it doesn't like outsiders. Especially those with a badge." "You're coming back with me," Quinn said, gripping his shoulder. "We're going to talk about the unauthorized pharmaceuticals you've been distributing. And we're going to talk about what happened to my partner." Herrera turned slowly, his olive skin glistening with sweat in the green light of the market. "Your partner asked the wrong questions to the wrong people," Herrera said, his eyes scanning the crowd behind her. "Just like you're doing now. Look around, Quinn. Do you really think you can walk me out of here in handcuffs?" Several market-goers had stopped their bartering. Dark, hollow eyes turned toward them. A low hiss rose from a nearby stall, and the shadows along the tunnel walls seemed to stretch and tilt toward Quinn. Quinn tightened her grip on Herrera's arm, her jaw setting. Her leather watch ticked against her wrist, the only normal sound in a world gone mad. "We're leaving," Quinn said, stepping closer to him, her eyes darting between the rising crowd and the exit. "Now." Herrera reached slowly for his pocket, his fingers brushing the tin cylinder. "I can't let you do that," Herrera said. "There are people up there who need what's in this tin tonight. If I don't deliver it, they die. Truly die."
created_at"2026-05-20T07:51:26.82Z" 5/20/2026, 7:51:26 AM
model"google/gemini-3.5-flash-20260519"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency879
moderation_latency(null)
generation_time9805
tokens_prompt1140
tokens_completion1745
native_tokens_prompt1042
native_tokens_completion1452
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
service_tier"standard"
usage0.014631
router(null)
provider_responses
0
endpoint_id"bd50061c-e1d8-469e-96b1-d322e77378f8"
id"_mcNasu1PO-w1MkPtKabmAk"
is_byokfalse
latency879
model_permaslug"google/gemini-3.5-flash-20260519"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.15.0; linux; x64))"
http_referer(null)
request_id"req-1779263486-CwEsXxuZ0gdQ14YzEqZW"
session_id(null)
api_type"completions"
id"gen-1779263486-N3OHKVqtGL8bWbkjNeCa"
upstream_id"_mcNasu1PO-w1MkPtKabmAk"
total_cost0.014631
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences16
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
77.09% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1091
totalAiIsmAdverbs5
found
0
adverb"quickly"
count1
1
adverb"slowly"
count2
2
adverb"really"
count1
3
adverb"truly"
count1
highlights
0"quickly"
1"slowly"
2"really"
3"truly"
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)
54.17% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1091
totalAiIsms10
found
0
word"chill"
count1
1
word"maw"
count1
2
word"pulsed"
count1
3
word"constructed"
count1
4
word"silk"
count1
5
word"scanned"
count1
6
word"hulking"
count1
7
word"weight"
count1
8
word"glistening"
count1
9
word"scanning"
count1
highlights
0"chill"
1"maw"
2"pulsed"
3"constructed"
4"silk"
5"scanned"
6"hulking"
7"weight"
8"glistening"
9"scanning"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences74
matches
0"e with panic"
84.94% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences74
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)
analyzedSentences82
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1088
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions50
wordCount963
uniqueNames17
maxNameDensity1.77
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Herrera"
discoveredNames
Camden1
High1
Street1
Harlow1
Quinn17
Herrera16
Friday1
London2
Tube1
Blitz1
Morris2
Underground1
Veil1
Market1
Saint1
Christopher1
Several1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Morris"
4"Saint"
5"Christopher"
places
0"Camden"
1"High"
2"Street"
3"Friday"
4"London"
globalScore0.617
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1088
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences82
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs36
mean30.22
std17.88
cv0.592
sampleLengths
061
116
22
351
42
545
655
756
818
938
1050
115
1245
1316
1444
1558
165
1728
1810
1940
2035
2120
2259
239
2453
2517
2619
2723
2832
2916
3040
3134
3226
3319
3412
3529
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences74
matches
0"been frozen"
35.39% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs162
matches
0"wasn't running"
1"was heading"
2"was weaving"
3"was heading"
38.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences82
ratio0.037
matches
0"He was heading for the boarded-up entrance of the old, defunct Tube station—a ghost stop closed since the Blitz."
1"Dust and something sweet—like burnt sugar and dried lavender—drifted from the blackness."
2"Instead, her fingers brushed against an old ivory button she had confiscated from a suspect's pouch weeks ago—a strange piece carved with three interlocking circles."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount975
adjectiveStacks1
stackExamples
0"ancient, leather-bound journals."
adverbCount19
adverbRatio0.019487179487179488
lyAdverbCount10
lyAdverbRatio0.010256410256410256
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences82
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences82
mean13.27
std5.76
cv0.434
sampleLengths
022
116
212
310
41
516
62
717
813
921
102
118
1216
1321
149
1510
1623
1713
1811
1919
207
2119
2218
235
2421
2512
2614
2718
2818
295
306
3113
3210
3316
3416
3512
368
3719
385
3916
4026
4116
425
4315
4413
4510
4613
4716
4811
4915
79.27% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.47560975609756095
totalSentences82
uniqueOpeners39
93.90% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences71
matches
0"Instead, her fingers brushed against"
1"Dark, hollow eyes turned toward"
ratio0.028
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences71
matches
0"She checked the worn leather"
1"She had chased suspects through"
2"Her voice cut through the"
3"He glanced back, warm brown"
4"He recovered his footing, gritting"
5"They were deep in the"
6"He was heading for the"
7"She reached under her jacket,"
8"Her partner, Morris, had chased"
9"She clicked on her tactical"
10"She scanned the crowd, her"
11"He was heading toward a"
12"She knew instantly it would"
13"She withdrew it, pressing the"
14"He had stopped at the"
15"He quickly tucked it inside"
16"He didn't turn around immediately."
17"Her leather watch ticked against"
ratio0.254
2.25% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences71
matches
0"Rain sliced through the neon"
1"Detective Harlow Quinn adjusted the"
2"Water dripped from her cropped"
3"She checked the worn leather"
4"Quinn lunged into a jog,"
5"She had chased suspects through"
6"The disgraced paramedic possessed a"
7"Her voice cut through the"
8"Herrera glinted under a streetlamp,"
9"He glanced back, warm brown"
10"Quinn pursued, her lungs burning"
11"Herrera slipped, his left forearm"
12"The sleeve of his parka"
13"He recovered his footing, gritting"
14"Quinn vaulted the metal barrier"
15"They were deep in the"
16"Herrera wasn't running toward the"
17"He was heading for the"
18"Herrera reached the plywood barrier"
19"Quinn halted at the gap."
ratio0.915
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences71
matches(empty)
ratio0
85.71% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences50
technicalSentenceCount4
matches
0"Beyond it, the disused platform opened into a sprawling, subterranean bazaar that defied the geography of the London Underground."
1"Merchants with shadowed faces argued over glass jars containing shifting smoke, bundles of dried roots that twitched like insect legs, and bottles of thick, iri…"
2"A low rumble of bartering in languages that scraped against her ears filled the cavernous space."
3"Herrera stiffened, his hand flying to the Saint Christopher medallion hanging around his neck."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount3
matches
0"Quinn said, her hand resting on her belt"
1"Herrera whispered, his voice trembling but urgent"
2"Herrera said, his eyes scanning the crowd behind her"
25.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount2
fancyTags
0"the brute grunted (grunt)"
1"Herrera whispered (whisper)"
dialogueSentences16
tagDensity0.5
leniency1
rawRatio0.25
effectiveRatio0.25
76.7794%