Run: 2026-09-03-01M1KRBD98XF413RWC8NB6MP7K

Run Details

Duration:
14.1s
Cost:
$0.009609
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 hammered the cracked asphalt of Camden High Street, turning the gutters into rushing brown torrents. Tomás Herrera sprinted through the downpour, leather jacket plastered to his shoulders. He gripped a heavy canvas duffel under his left arm. Every impact of his boots sent plumes of spray across the plate-glass storefronts. The silver Saint Christopher medallion bounced against his collarbone, flashing under the sodium streetlights. Detective Harlow Quinn matched his pace thirty yards behind, her long coat snapping against her shins. Water dripped from her cropped salt-and-pepper hair into her brown eyes. She did not yell generic warnings. She kept her chin down, her breathing locked in a rigid three-count cadence forged over eighteen years of pursuit. Her sharp jaw tightened as Tomás vaulted a knocked-over metal barricade. "Stop running, Herrera!" Her voice cut through the drone of the deluge with parade-ground bite. "You drop that bag, we talk about reduced charges!" Tomás glanced over his shoulder. Water slicked his olive forehead, plastering dark curls to his temples. He veered left into a dead-end alley jammed between a boarded-up pub and an electrical substation. Quinn adjusted her angle, cutting the corner close to shave off seconds. Her left hand brushed the worn leather watch on her wrist out of instinct. Two minutes since the foot chase began. Reinforcements sat stalled three miles south in gridlock along Tottenham Court Road. She was on her own. Tomás hit the brick wall at the alley’s end. Instead of turning to face her, he shoved his weight against a warped plywood partition masking an old maintenance shaft. The wood splintered with a screech of rusted nails. He slipped through the gap into pitch-black void. Quinn reached the breach two heartbeats later. She unholstered her Glock 17, clicking on the tactical light beneath the barrel. The white beam cut across shattered masonry, discarded beer cans, and a spiraling flight of iron steps descending straight down into the gut of London. A draft surged up the shaft, carrying the stench of ozone, rotting timber, and crushed wintergreen. She flicked the beam down. Tomás took the stairs three at a time, his sneakers ringing on the perforated iron treads. "Police! Freeze or I fire!" Tomás didn't check his descent. His voice bounced off the subterranean brickwork. "Turn back, Quinn! You don't have jurisdiction down here!" Quinn plunged through the broken plywood and hit the spiral staircase. The iron trembled under her combat boots. "Murder doesn't have an exclusion zone!" "I didn't kill anyone!" Tomás cleared the bottom landing and shoved through a heavy service door. "Tell that to the coroner who scraped Morris off the tarmac!" Her words struck the hollow stairwell like lead weights. Below, the heavy iron door slammed shut. Quinn hit the bottom landing, planted her shoulder against the steel plate, and drove her weight forward. The latch snapped back. She burst into an abandoned Tube platform. Decaying white tiles lined the arched walls, mapped with black veins of mold. Decades-old advertising posters hung in ribbons from rusted frames. Tomás stood fifty paces away beside the remnants of an old ticket collector's booth. His chest heaved. The sleeve of his jacket rode up, exposing the jagged knife scar across his left forearm. He held a flat sliver of carved bone between his thumb and forefinger. "Morris crossed the line because he was looking for answers he couldn't handle." Tomás raised the bone token toward a soot-covered iron turnstile bolted directly into the platform stone. "You're making the exact same mistake, Detective." Quinn leveled the Glock at center mass, thumb resting firmly against the safety. "Put the duffel on the platform and step away from the barrier." Tomás shook his head. "Those people in Soho will bleed out without this kit." He pressed the bone token into a narrow slit carved into the turnstile's rusted housing. A low, resonant chime echoed through the tunnel. The air pressure plummeted. Quinn felt her eardrums pop as a veil of violet mist spilled from the gloom beyond the turnstile. The derelict platform dissolved into a sprawling, subterranean bazaar built within the cavernous junctions of long-forgotten rail networks. Dozens of stallholders stood under canvas awnings lit by caged phosphorus lamps and violet braziers. Vats of luminescent liquid bubbled atop brass stands. Shelves displayed dried roots, jars containing shifting shadows, and intricate mechanical devices ticking without springs or gears. Figures in heavy velvet mantles and oiled duster coats bartered in low, guttural dialects. Tomás slipped through the iron turnstile. The mechanism clicked, sealing the barrier behind him. Quinn stepped toward the threshold, her weapon still raised. The tactical light on her Glock flickered and died, starved of battery by the strange static prickling the air. She smelled copper and crushed petals. A tall figure draped in layered gray burlap stepped from the fog on the other side of the turnstile, blocking the path behind Tomás. The figure's face remained hidden behind a carved wooden mask with no eye holes. "The tribute is spent," the gatekeeper's voice scraped like stones grinding together. "Turn back to the iron city above, mortal law." Tomás paused ten paces into the market crowd, looking back over his shoulder. The warm brown of his eyes reflected the eerie purple braziers. "Go home, Quinn. You walk through that arch, the Met can't help you." Quinn stood at the rusted gate. The cold rain from the street above dripped through a ventilation grate, tapping against her collar. Ahead lay the impossible—the same impossible shadow that had swallowed her partner three years ago and left behind a classified, redacted case file. She lowered the gun to her side, slid her fingers into the gap between the turnstile bars, and tightened her grip on the cold iron.
created_at"2026-09-03T13:46:52.894Z" 9/3/2026, 1:46:52 PM
model"google/gemini-3.7-flash-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1660
moderation_latency(null)
generation_time12158
tokens_prompt1104
tokens_completion1817
native_tokens_prompt1042
native_tokens_completion2354
native_tokens_completion_images0
native_tokens_reasoning1085
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"default"
usage0.009609
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443212-haJZTbAJ3gizw59RcK68"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443212-hcL2RXtpdNCtFVf8MU7E"
upstream_id"TXqZasrjAbeCqtsPiKiCiQM"
provider_responses
0
endpoint_id"dd072012-3274-417d-97e3-e290cba37e31"
id"TXqZasrjAbeCqtsPiKiCiQM"
is_byokfalse
latency1659
model_permaslug"google/gemini-3.7-flash-20260813"
provider_name"Google AI Studio"
status200
total_cost0.009609
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
57.14% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount1
adverbTags
0"the gatekeeper's voice scraped like [like]"
dialogueSentences14
tagDensity0.071
leniency0.143
rawRatio1
effectiveRatio0.143
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount958
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)
37.37% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount958
totalAiIsms12
found
0
word"weight"
count2
1
word"shattered"
count1
2
word"flicked"
count1
3
word"trembled"
count1
4
word"firmly"
count1
5
word"echoed"
count1
6
word"gloom"
count1
7
word"intricate"
count1
8
word"mechanical"
count1
9
word"velvet"
count1
10
word"flickered"
count1
highlights
0"weight"
1"shattered"
2"flicked"
3"trembled"
4"firmly"
5"echoed"
6"gloom"
7"intricate"
8"mechanical"
9"velvet"
10"flickered"
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
emotionTells0
narrationSentences71
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences71
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences84
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords957
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount842
uniqueNames15
maxNameDensity1.54
worstName"Tomás"
maxWindowNameDensity3
worstWindowName"Tomás"
discoveredNames
Camden1
High1
Street1
Herrera1
Saint1
Christopher1
Harlow1
Quinn9
Tomás13
Tottenham1
Court1
Road1
Glock3
London1
Tube1
persons
0"Herrera"
1"Saint"
2"Christopher"
3"Harlow"
4"Quinn"
5"Tomás"
6"Glock"
places
0"Camden"
1"High"
2"Street"
3"Tottenham"
4"Court"
5"Road"
6"London"
globalScore0.728
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences63
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount957
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences84
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs40
mean23.93
std17.29
cv0.723
sampleLengths
016
149
263
33
412
59
632
750
846
961
1021
115
1212
139
1418
156
164
1712
1811
1937
2029
2146
2213
2316
247
2513
2612
274
2810
2915
3048
3154
3214
3334
3438
3521
3624
3713
3845
3925
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences71
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs142
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences84
ratio0.012
matches
0"Ahead lay the impossible—the same impossible shadow that had swallowed her partner three years ago and left behind a classified, redacted case file."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount855
adjectiveStacks0
stackExamples(empty)
adverbCount8
adverbRatio0.00935672514619883
lyAdverbCount2
lyAdverbRatio0.0023391812865497076
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences84
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences84
mean11.39
std5.12
cv0.449
sampleLengths
016
112
210
313
414
516
611
76
819
911
103
1112
129
135
1411
1516
1612
1714
187
1912
205
219
2220
239
248
257
2613
2725
2816
295
3016
315
325
337
349
3511
367
376
384
3912
4011
419
427
4317
444
457
4613
479
4814
493
65.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.40476190476190477
totalSentences84
uniqueOpeners34
46.95% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences71
matches
0"Instead of turning to face"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount19
totalSentences71
matches
0"He gripped a heavy canvas"
1"She did not yell generic"
2"She kept her chin down,"
3"Her sharp jaw tightened as"
4"Her voice cut through the"
5"He veered left into a"
6"Her left hand brushed the"
7"She was on her own."
8"He slipped through the gap"
9"She unholstered her Glock 17,"
10"She flicked the beam down."
11"His voice bounced off the"
12"Her words struck the hollow"
13"She burst into an abandoned"
14"His chest heaved."
15"He held a flat sliver"
16"He pressed the bone token"
17"She smelled copper and crushed"
18"She lowered the gun to"
ratio0.268
9.30% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount64
totalSentences71
matches
0"Tomás Herrera sprinted through the"
1"He gripped a heavy canvas"
2"Every impact of his boots"
3"The silver Saint Christopher medallion"
4"Detective Harlow Quinn matched his"
5"Water dripped from her cropped"
6"She did not yell generic"
7"She kept her chin down,"
8"Her sharp jaw tightened as"
9"Her voice cut through the"
10"Tomás glanced over his shoulder."
11"Water slicked his olive forehead,"
12"He veered left into a"
13"Quinn adjusted her angle, cutting"
14"Her left hand brushed the"
15"Reinforcements sat stalled three miles"
16"She was on her own."
17"Tomás hit the brick wall"
18"The wood splintered with a"
19"He slipped through the gap"
ratio0.901
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences71
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount1
matches
0"Ahead lay the impossible—the same impossible shadow that had swallowed her partner three years ago and left behind a classified, redacted case file."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
86.0834%