Run: 2026-09-03-01M1KRQ8HG9APFT40RMQ74J4XH

Run Details

Duration:
16.7s
Cost:
$0.012557
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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
Water dripped from the vaulted brickwork of the disused Northern line spur beneath Camden, striking the iron rail with a rhythmic ring. Detective Harlow Quinn stepped over a tangle of dead signal cables. Halogen floodlights threw hard white beams across the platform, carving deep shadows into soot-blackened tiles. Her boots crunched on century-old coal dust and shattered glass. She glanced at the worn leather watch on her left wrist: half past three in the morning. Uniformed officers huddled near the emergency stairwell, their breath pluming in the subterranean damp. At the edge of the pit where the tracks vanished into blackness, Detective Constable Miller leaned against a rust-flaked support girder, jotting notes in a vinyl pad. Miller clicked his pen. "Transients fighting over territory. Classic blunt-force trauma to the cranium, followed by an accelerant to scrub the prints." Quinn crouched beside the body without touching the chalky ballast. Her brown eyes swept the corpse from boots to skull. The dead man wore an oilskin duster over modern street clothes, his limbs splayed across the rusted ties in an unnatural, rigid arch. His spine curved upward, supported only by the heels of his heavy work boots and the back of his shoulders. Rigor mortis had set in fast, but the tension in the tendons remained taut as drawn bowstrings. "Look at the soot around his heels, Miller." Miller shone his torch down between the ties. "Disturbed during the struggle." "Not disturbed. Undisturbed." Quinn gestured with a gloved fingertip, tracing an inch above the dust. "If two men wrestled here, the coal dust would show drag marks, scuffs, boot slides. The surface is smooth right up to the leather. He didn't fall here. He was placed, or he landed from directly above." Miller tilted his head back, his torch beam illuminating the curved ceiling ten feet overhead. Solid Victorian brick, slick with lime runoff and completely unbroken. "Nobody dropped him through five yards of London clay, Quinn." "Which makes your scuffle theory useless." Quinn leaned closer to the victim's chest. The man’s jacket was split down the center, the fabric parted in a clean, surgical division. The edges of the wool showed neither scorch marks nor fraying threads. Instead, the weave ended in a translucent, glassy bead along the seam, as though high heat had cauterized the fiber in a microsecond without heating the adjacent cloth. She hovered her palm over the exposed sternum. The flesh was chalk-white, drained of capillary color, but devoid of the lividity typical of a two-hour post-mortem interval. "Where is the blood?" Miller pointed to the crushed crown of the skull. "He took a pipe or an iron bar to the parietal bone. The blood ran into the gravel between the sleepers." Quinn took a wooden tongue depressor from her kit and parted the dark stones beneath the victim's head. The soil beneath was dry, gray dust. "Bone fragments scattered across an eight-inch radius, yet the gravel is bone-dry. A strike with that magnitude of bone displacement shears the temporal artery. You get high-velocity projection across the rails." She stood, sweeping her gaze across the flanking tunnel walls. The peeling enamel tiles bore water stains and decades of brake dust, but not a single speck of crimson marred the white ceramic. "The trauma occurred somewhere else, or the circulatory system stopped before the skull fractured." Miller tucked his notepad under his elbow, crossing his arms against the chill. "Why drag a corpse half a mile down an abandoned service tunnel through Camden when the Regent’s Canal is fifty yards from the street access?" "Because the canal has patrols, CCTV, and current." Quinn moved three paces south along the track, eyes locked on the floor. "People bring things down here when they don't want them found by anyone using standard frequencies." Her boot stopped beside an anomaly in the rail bed. Embedded in the damp silt between two ties lay a small disc of polished animal bone, no larger than a ten-pence coin. She crouched again, bringing her torch within three inches. An interlocking knotwork pattern had been carved into its center, surrounded by three crude runic notches along the rim. Miller stepped up behind her, his rubber soles squeaking on the slick ballast. "Vagrant junk. Camden market overflows with gothic trash like that." "This isn't pewter from a market stall. It's freshly cut bone, smoothed with pumice." Quinn used plastic tweezers to lift the disc. Beneath it, the silt retained a faint, crystalline frost, despite the station's humid forty-five-degree air. The ice melted the moment her light hit it, vanishing into a drop of clear water. A dull ache pulsed behind Quinn's temples, a familiar tension she hadn't felt since Morris vanished three years ago in an identical subway blind spot beneath Shoreditch. The official report on Morris had logged accidental drowning in a storm drain, despite the lack of water in his lungs. She turned toward the mouth of the north tunnel. "Did the sweep team check the junction fifty yards in?" Miller shook his head. "Structural integrity is shot past the platform. London Underground sealed it with chain-link and warning boards thirty years back. We aren't cleared for unstable tunnels without a transit engineer." Quinn didn't wait. She took a high-output lantern from her kit, switched it on, and marched along the track toward the northern archway. The air grew denser, tasting of ozone and dried copper. Ten yards inside the bore, the steel tracks terminated abruptly, sliced through cleanly by an industrial torch decades prior. Beyond the cut, the tunnel floor was clear of rubble. Quinn swung the lantern beam across the tunnel wall. At waist height, a faint groove scored the brickwork, running parallel to the ground for twenty paces before hooking sharply into an angular sigil. Inside the groove, tiny flecks of brass dust glinted in the white light. She touched the metal residue with a gloved finger, bringing it to her nose. A sharp, chemical reek of verdigris and sulfur stung her nostrils. The chain-link fence Miller had mentioned hung from its iron frame, severed down the middle. The links were not clipped by bolt cutters; the steel loops had been stretched until they snapped under tension, the metal necked down to needle-fine points. Footsteps echoed from the platform behind her. Miller jogged into the tunnel mouth, his breath coming in ragged gasps. "Quinn, forensics is at the street grate with the gurney. The DI wants the body bagged before the morning transit rush starts shaking the street level." Quinn stood motionless before the severed fence. "Tell them to wait." Miller frowned, waving his torch toward the darkness deeper in the spur. "Wait for what? It's a dead end, Quinn. Literally." "The victim didn't come down the Camden high street grate." She pointed to the track bed beyond the fence. A solitary set of footprints pressed into the damp silt, leading *out* of the darkness toward the platform, not into it. The strides were long, even, and ended precisely where the bone token had been dropped. "He walked out of a sealed tunnel that hasn't connected to the network since 1941." Miller stared at the footprints, his jaw tightening as he searched the empty gloom ahead. "That's impossible." Quinn unclipped her service radio from her shoulder strap, her sharp jaw set firm. "Clear the platform of uniform personnel and get the archive division on the line. I want Eva Kowalski brought down here before anyone moves that body."
created_at"2026-09-03T13:53:19.415Z" 9/3/2026, 1:53:19 PM
model"google/gemini-3.7-flash-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1203
moderation_latency(null)
generation_time16649
tokens_prompt1112
tokens_completion2621
native_tokens_prompt1073
native_tokens_completion3134
native_tokens_completion_images0
native_tokens_reasoning1459
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"
usage0.01255725
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443599-7x34dkPMRC7wiBjlj97U"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443599-xbS12gLfvNjOATnVUMVU"
upstream_id"z3uZaoWtIZ-p_uMP_oPDuAs"
provider_responses
0
endpoint_id"dd072012-3274-417d-97e3-e290cba37e31"
id"z3uZaoWtIZ-p_uMP_oPDuAs"
is_byokfalse
latency1203
model_permaslug"google/gemini-3.7-flash-20260813"
provider_name"Google AI Studio"
status200
total_cost0.01255725
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
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
87.97% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1247
totalAiIsmAdverbs3
found
0
adverb"completely"
count1
1
adverb"sharply"
count1
2
adverb"precisely"
count1
highlights
0"completely"
1"sharply"
2"precisely"
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)
31.84% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1247
totalAiIsms17
found
0
word"rhythmic"
count1
1
word"shattered"
count1
2
word"tension"
count3
3
word"tracing"
count1
4
word"fractured"
count1
5
word"chill"
count1
6
word"standard"
count1
7
word"crystalline"
count1
8
word"pulsed"
count1
9
word"familiar"
count1
10
word"output"
count1
11
word"footsteps"
count1
12
word"echoed"
count1
13
word"solitary"
count1
14
word"gloom"
count1
highlights
0"rhythmic"
1"shattered"
2"tension"
3"tracing"
4"fractured"
5"chill"
6"standard"
7"crystalline"
8"pulsed"
9"familiar"
10"output"
11"footsteps"
12"echoed"
13"solitary"
14"gloom"
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
narrationSentences63
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences63
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences88
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords1247
ratio0.001
matches
0"out"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
82.36% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount887
uniqueNames10
maxNameDensity1.35
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Northern1
Camden1
Harlow1
Quinn12
Detective2
Constable1
Miller12
Victorian1
Morris2
Shoreditch1
persons
0"Camden"
1"Harlow"
2"Quinn"
3"Constable"
4"Miller"
5"Morris"
places
0"Northern"
globalScore0.824
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.802
wordCount1247
matches
0"neither scorch marks nor"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences88
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs57
mean21.88
std17.58
cv0.803
sampleLengths
022
153
241
34
418
580
68
78
84
93
1012
1137
1225
1310
146
1563
1627
174
189
1921
2025
2131
2233
2314
2413
2525
268
2713
2816
2960
3013
3110
3214
3339
3448
359
3610
374
3829
3923
4039
419
4262
4341
4419
4526
467
474
4812
499
88.55% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences63
matches
0"been carved"
1"been stretched"
2"been dropped"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs128
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences88
ratio0.011
matches
0"The links were not clipped by bolt cutters; the steel loops had been stretched until they snapped under tension, the metal necked down to needle-fine points."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount899
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.012235817575083427
lyAdverbCount7
lyAdverbRatio0.00778642936596218
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences88
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences88
mean14.17
std7.22
cv0.509
sampleLengths
022
111
215
310
417
514
627
74
818
910
1010
1123
1220
1317
148
158
164
173
1812
1937
2015
2110
2210
236
247
2516
2612
2728
288
2919
304
319
3221
3318
347
3531
3610
3723
3814
3913
4025
418
4213
4316
4410
4522
469
4719
4813
4910
76.89% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.48863636363636365
totalSentences88
uniqueOpeners43
52.91% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences63
matches
0"Instead, the weave ended in"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences63
matches
0"Her boots crunched on century-old"
1"She glanced at the worn"
2"Her brown eyes swept the"
3"His spine curved upward, supported"
4"She hovered her palm over"
5"She stood, sweeping her gaze"
6"Her boot stopped beside an"
7"She crouched again, bringing her"
8"She turned toward the mouth"
9"She took a high-output lantern"
10"She touched the metal residue"
11"She pointed to the track"
ratio0.19
39.37% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount53
totalSentences63
matches
0"Water dripped from the vaulted"
1"Detective Harlow Quinn stepped over"
2"Halogen floodlights threw hard white"
3"Her boots crunched on century-old"
4"She glanced at the worn"
5"Miller clicked his pen."
6"Quinn crouched beside the body"
7"Her brown eyes swept the"
8"The dead man wore an"
9"His spine curved upward, supported"
10"Rigor mortis had set in"
11"Miller shone his torch down"
12"Quinn gestured with a gloved"
13"Miller tilted his head back,"
14"Quinn leaned closer to the"
15"The man’s jacket was split"
16"The edges of the wool"
17"She hovered her palm over"
18"The flesh was chalk-white, drained"
19"Miller pointed to the crushed"
ratio0.841
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences63
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount1
matches
0"Instead, the weave ended in a translucent, glassy bead along the seam, as though high heat had cauterized the fiber in a microsecond without heating the adjacen…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
88.6629%