Run: 2026-05-19-01KS0TQZKR8SCV33D2WQGC9RFT

Run Details

Duration:
34.2s
Cost:
$0.061692
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 rusted iron roofs of the Camden stables, draining into the canal in a murky, swirling torrent. Harlow Quinn kept her eyes locked on the flashes of wet denim fifty yards ahead. Tomás Herrera ran with the frantic, jerky stride of a man who knew exactly what happened to people who stayed in her sights. Her boots kicked up sprays of stagnant water. Eighteen years of service had left her with a permanent ache in her right hip, but the cold London air burning her lungs kept the pain at bay. She reached down, her thumb brushing the face of the worn leather watch on her left wrist. Midnight was a shadow away. Herrera bolted across the slick cobblestones, his sneakers slipping on a patch of wet moss. He collided with a row of metal rubbish bins, sending them crashing onto the pavement with a metallic roar that echoed through the narrow alleyways. A shower of discarded takeaway boxes and plastic bottles scattered into the gutter. He scrambled up, his hands scraping against the rough brick wall of a derelict warehouse. Harlow didn't slow. She leaped over a rolling bin, her footing secure, her eyes tracking the dark wet smear of blood he left on the brickwork. The sharp scent of iron and ozone hung heavy in the damp air. "Stop running, Herrera!" The wind whipped the words from her mouth, tearing them away into the darkness. Herrera didn't look back. He rounded a sharp corner, his hand catching the edge of a rusty drainpipe to swing himself through a gap in a chain-link fence. The silver Saint Christopher medallion around his neck glinted under the amber hum of a sodium streetlamp, a brief spark of light before the shadows swallowed him again. Harlow reached the fence, her chest heaving. She tucked her arms close to her sides and squeezed through the warped gap. The jagged wire bit into her sleeve, tearing the heavy cotton, but she ignored the sting. They were in the yard of the old, boarded-up Camden Underground station. Closed since the fifties, the concrete facade was choked with ivy and aggressive black brambles. A gaping black hole in the ground marked the entrance to the old stairs. The smell of rotten timber and wet earth drifted up from the throat of the tunnel. Herrera’s footsteps had changed from the hollow slap of wet asphalt to the dull, echoing thuds of concrete. He was heading down. Harlow pulled her service weapon from its holster, the weight of the metal familiar and grounding. She paused at the top of the stairs, her ear tuned to the darkness. The drip of water was constant, a slow, metallic metronome. Beneath it lay a low, vibrating hum that made the fillings in her teeth ache. It wasn't the sound of subterranean trains. She began her descent, her boots whispering against the grit-covered stone steps. The darkness here was absolute, thick enough to touch. She kept her left hand on the damp tile wall, using the cold barrier to guide her down the spiral. Three years ago, her partner Morris had died in a basement not unlike this, his eyes wide with a terror he couldn't name, his chest marked with symbols that defied the forensic examiner's reports. The department had buried the file. Harlow had spent every night since digging it back up. Herrera was the only thread left untangled. The air grew warmer as she descended, stripping away the chill of the autumn rain. It smelled of sulfur, damp tallow, and a heavy, sickly sweetness that reminded her of crushed cardamom and old paper. At the turn of the corridor, the darkness fragmented. A soft, flickering orange light danced across the arched ceiling of the old platform. Harlow pressed her back against the tiled wall, her breath shallow and controlled. She peered around the curve. The old tracks had been completely covered by thick wooden planks, forming a wide, uneven walkway. Herrera stood thirty feet away, his back to her, his posture tense. He was nursing his left forearm, where a fresh gash dripped dark blood onto the timber. In front of him stood a massive gate constructed from reinforced iron grates and rusted railway sleepers. Behind the gate, the tunnel opened into a cavernous space. Even from here, Harlow could see the shifting silhouettes of a crowded marketplace, lit by braziers and hanging lanterns. The low murmur of voices rose and fell like the tide, punctuated by the clinking of heavy metal and the strange, warbling cries of unseen animals. The Veil Market. A man of immense breath stood guard at the gate, draped in a heavy, grease-hardened leather apron. His face was hidden beneath the shadow of a wide-brimmed hat, but his chest was bare, crisscrossed with thick, knotted welts. Herrera reached into his pocket with a trembling hand. "Stand down, Herrera." Harlow stepped out from the shadows, her weapon raised, both hands locking the barrel onto the center of his chest. Herrera gasped, his shoulders jerking as he spun around. His olive skin was slicked with sweat, his warm brown eyes reflecting the orange glow of the market fires. He looked at the gun, then up at her sharp jaw, her closely cropped salt-and-pepper hair. "Detective. You don't know what you're stepping into." "I know you're violating about twelve different federal statutes, and you're the last person who saw Morris alive. Hands where I can see them." Herrera let out a dry, rattling laugh. He didn't raise his hands. Instead, his fingers tightened around a small, white object in his palm. "Morris died because he didn't know when to turn around. Don't make the same mistake." The massive guard took a step forward, the floorboards groaning under his weight. He didn't look at Harlow's gun. "The price is a bone." The guard spat a dark glob of tobacco onto the concrete. "No coin. No paper." Herrera dropped the small white object into the palm. It was a human metatarsal, yellowed with age, its surface etched with tiny, pulsing red runes. The guard closed his fist, the bone clicking against his thick rings. He turned his head slightly toward the iron door behind him and pulled a massive lever. The gates screeched open, revealing a bustling alley of stalls draped in dark silks, green neon glass, and jars filled with bioluminescent fluids. "Herrera, don't move!" Harlow took two paces forward, her finger tightening on the trigger. The medic looked back at her, his expression softening into something close to pity. "They don't recognize the Queen's peace down here, Harlow. If you cross that line without a token, you don't come back." He stepped through the threshold, merging instantly into the swirling crowd of cloaked figures. The guard began to slide the heavy iron gate shut, the metal teeth clicking together. Harlow stood on the damp wooden planks, her gun still raised, the heat of the market washing over her face. The scent of exotic spices and burning copper filled her nose, warring with the cold, familiar smell of London rain dripping from her coat. She looked at the closing gate, then down at the dark, empty tunnel behind her.
created_at"2026-05-19T19:17:31.39Z" 5/19/2026, 7:17:31 PM
model"google/gemini-3.5-flash-20260519"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1461
moderation_latency(null)
generation_time34044
tokens_prompt1140
tokens_completion3998
native_tokens_prompt1042
native_tokens_completion6681
native_tokens_completion_images0
native_tokens_reasoning5147
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"
usage0.061692
router(null)
provider_responses
0
endpoint_id"bd50061c-e1d8-469e-96b1-d322e77378f8"
id"S7cMasiRJPm2qtsP9qrHkQw"
is_byokfalse
latency1461
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-1779218251-pZKmwSTeSKpaw5CtMxEv"
session_id(null)
api_type"completions"
id"gen-1779218251-S3GPQVcXKtCQmW2zhawf"
upstream_id"S7cMasiRJPm2qtsP9qrHkQw"
total_cost0.061692
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
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences9
tagDensity0.111
leniency0.222
rawRatio0
effectiveRatio0
91.69% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1203
totalAiIsmAdverbs2
found
0
adverb"completely"
count1
1
adverb"slightly"
count1
highlights
0"completely"
1"slightly"
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)
50.12% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1203
totalAiIsms12
found
0
word"echoed"
count1
1
word"facade"
count1
2
word"footsteps"
count1
3
word"echoing"
count1
4
word"weight"
count2
5
word"familiar"
count2
6
word"chill"
count1
7
word"fragmented"
count1
8
word"constructed"
count1
9
word"etched"
count1
highlights
0"echoed"
1"facade"
2"footsteps"
3"echoing"
4"weight"
5"familiar"
6"chill"
7"fragmented"
8"constructed"
9"etched"
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
narrationSentences78
matches(empty)
87.91% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences78
filterMatches
0"watch"
hedgeMatches
0"happened to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences86
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1203
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions32
wordCount1117
uniqueNames11
maxNameDensity0.98
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Camden2
Quinn1
Herrera10
London2
Saint1
Christopher1
Underground1
Morris1
Harlow11
Veil1
Market1
persons
0"Quinn"
1"Herrera"
2"Saint"
3"Christopher"
4"Morris"
5"Harlow"
places
0"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences71
glossingSentenceCount1
matches
0"something close to pity"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1203
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences86
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs41
mean29.34
std19.07
cv0.65
sampleLengths
057
158
268
339
43
514
656
737
827
930
1022
1162
1241
1357
1435
1523
1618
1744
1872
193
2038
219
223
2320
2444
258
2624
2724
2815
2919
3020
3125
3251
333
3411
3514
3621
3714
3815
3944
4015
91.77% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences78
matches
0"was choked"
1"was hidden"
2"was slicked"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs167
matches
0"was heading"
1"was nursing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences86
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1124
adjectiveStacks1
stackExamples
0"heavy, grease-hardened leather"
adverbCount24
adverbRatio0.021352313167259787
lyAdverbCount7
lyAdverbRatio0.006227758007117438
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences86
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences86
mean13.99
std6.61
cv0.472
sampleLengths
019
115
223
38
428
517
65
715
825
913
1015
113
1223
1313
143
1514
164
1724
1828
197
2014
2116
2212
2315
2414
2516
2618
274
2816
2914
3010
3115
327
3312
349
3520
3634
376
3810
397
4015
4120
429
4314
4413
455
4616
4712
4816
4917
53.10% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.32558139534883723
totalSentences86
uniqueOpeners28
42.74% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences78
matches
0"Instead, his fingers tightened around"
ratio0.013
91.79% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences78
matches
0"Her boots kicked up sprays"
1"She reached down, her thumb"
2"He collided with a row"
3"He scrambled up, his hands"
4"She leaped over a rolling"
5"He rounded a sharp corner,"
6"She tucked her arms close"
7"They were in the yard"
8"He was heading down."
9"She paused at the top"
10"It wasn't the sound of"
11"She began her descent, her"
12"She kept her left hand"
13"It smelled of sulfur, damp"
14"She peered around the curve."
15"He was nursing his left"
16"His face was hidden beneath"
17"His olive skin was slicked"
18"He looked at the gun,"
19"He didn't raise his hands."
ratio0.321
24.10% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount68
totalSentences78
matches
0"Harlow Quinn kept her eyes"
1"Tomás Herrera ran with the"
2"Her boots kicked up sprays"
3"She reached down, her thumb"
4"Midnight was a shadow away."
5"Herrera bolted across the slick"
6"He collided with a row"
7"A shower of discarded takeaway"
8"He scrambled up, his hands"
9"Harlow didn't slow."
10"She leaped over a rolling"
11"The sharp scent of iron"
12"The wind whipped the words"
13"Herrera didn't look back."
14"He rounded a sharp corner,"
15"The silver Saint Christopher medallion"
16"Harlow reached the fence, her"
17"She tucked her arms close"
18"The jagged wire bit into"
19"They were in the yard"
ratio0.872
64.10% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences78
matches
0"Even from here, Harlow could"
ratio0.013
93.60% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount4
matches
0"He collided with a row of metal rubbish bins, sending them crashing onto the pavement with a metallic roar that echoed through the narrow alleyways."
1"She leaped over a rolling bin, her footing secure, her eyes tracking the dark wet smear of blood he left on the brickwork."
2"It smelled of sulfur, damp tallow, and a heavy, sickly sweetness that reminded her of crushed cardamom and old paper."
3"The scent of exotic spices and burning copper filled her nose, warring with the cold, familiar smell of London rain dripping from her coat."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
38.89% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"The guard spat (spit)"
dialogueSentences9
tagDensity0.111
leniency0.222
rawRatio1
effectiveRatio0.222
87.4604%