Run: 2026-09-03-01M1KRVMEJ9G8Q0E394EP5B6DN

Run Details

Duration:
17.2s
Cost:
$0.013461
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
The iron spiral staircase dropped sixty feet beneath Camden High Street, winding past rusted Victorian conduits into the disused Northern line spur. Cold air pushed up the shaft, thick with the stench of stagnant sewer damp, iron filings, and something sharply chemical—like ozone after a lightning strike. Detective Harlow Quinn checked the worn leather watch on her left wrist. Midnight had passed twenty minutes ago. She adjusted her collar, stepped off the final riser, and ducked beneath the yellow police tape strung between two support pillars. Her boots crunched over shattered ballast. Battery-powered floodlights washed the tunnel in harsh, clinical white, casting long shadows across curved walls of peeling ceramic tile. Detective Constable Miller stood twenty paces down the track, a steaming paper cup in hand and grease on the shoulder of his poly-blend suit. "Took your time, Harlow." Miller tossed a thumb over his shoulder toward the space between the rails. "Screamer of a squatter dispute. Two transients broke in through the old ventilation shaft on Buck Street. One stabbed the other with a piece of scavenged scrap, took his kit, and ran out the sewer drain." Quinn kept her stride measured, her posture locked in the rigid cadence drilled into her eighteen years prior. She stopped beside the body. "Transients." Quinn looked down at the corpse. "Look at the rags on him." Miller pointed with his coffee cup. "Overcoat three sizes too big, no wallet, no phone. Face is sliced to ribbons." Quinn crouched, balancing her weight on the balls of her feet. Her brown eyes narrowed as she traced the scene with a sweep of her torch beam. The victim lay sprawled on his back across the rail bed. His woollen duster was indeed heavy and frayed, but the lining was silk, dyed a deep indigo and stitched with interlocking geometrical patterns. His hands rested palm-up. The skin across his fingers was smooth, uncalloused, the fingernails trimmed and clean. "Squatters do not wear tailor-made silk under their wool, Miller. Nor do they spend forty pounds on manicures." "Could've lifted it off a clothesline in Hampstead." "Look at the blood." Quinn directed the light onto the wooden sleepers beneath the corpse. Miller leaned in, chewing on the inside of his cheek. "Plenty of it." "No. Look at the direction." Quinn pointed the beam along the ties. "A severed femoral artery sprays under systolic pressure. It arcs, pools, and follows gravity into the ballast stones. This didn't pool." The dark crimson stains formed sharp, radial spokes, radiating outward from the chest cavity in six perfectly equidistant lines, cutting straight across the uneven gravel as though drawn with an architect's ruler. Between the red spokes, the ballast remained spotless. Miller shifted his feet. "He dragged himself. Thrashing in shock." "A dying man thrashing in shock doesn't measure ninety-degree angles." Quinn leaned closer to the victim's chest. The man’s shirt was shredded, but the edges of the wounds showed no jagged tearing from broken glass or rusted rebar. The flesh curled backward in clean, scorched lips, blackened not by flame, but by extreme cold. A pale rim of frost coated the brass buttons of his waistcoat, glistening beneath the work lights despite the stifling summer humidity in the tunnel. Quinn reached out, hovering two fingers an inch above the victim's collarbone. The air radiating from the wound bit into her skin like dry ice. Her jaw tightened. Her pulse hitched against her collar—the same phantom chill she had pulled off Morris's jacket in the warehouse three years ago, before the brass buried the report and classified the file. "Where is the girl?" Quinn stood up. "What girl?" "The one your uniform detained near the maintenance junction." Quinn nodded toward the mouth of the lateral drainage tunnel twenty yards north. A young woman sat on an upturned cable drum beneath a sputtering halogen lamp, flanked by a uniformed constable. Curly red hair escaped a knitted beret, framing a pale, freckled face. Round spectacles sat crooked on her nose. She clutched a battered leather satchel against her chest with both arms, her fingers digging deep into the cracked calfskin. "She’s a train buff," Miller said. "Sneaked in with a camera to photograph the 1920s poster hoardings. Wrong place, wrong time." Quinn walked past him, her boot-heels ringing on the cast-iron plates between the tracks. The girl’s head snapped up at the sound of Quinn's approach. Green eyes widened behind thick lenses. Her right hand darted up, quickly tucking a stray red curl behind her left ear. "Eva Kowalski," Quinn read from the student ID card clipped to the girl's lapel. "British Museum. Restricted archives." "I was studying the brickwork," Eva said, her voice thin, competing with the hum of the generator. "The late-Victorian subterranean expansions used a specific mortar mix from the Midlands. I had permission to survey the access tunnels." "At one in the morning? Through a chained grate with a bolt-cutter mark on the padlock?" Quinn stepped into the girl’s space, casting a long, sharp shadow over the cable drum. Eva looked down at her satchel. Her knuckles remained bloodless white against the leather. "The daytime traffic on the Northern line creates too much vibrational interference for structural acoustic mapping." "You rehearsed that." Quinn held Eva's gaze. "A real academic caught next to a fresh corpse would be hyperventilating or asking to phone a lawyer. You haven't looked at the body once since I walked down that corridor. You’re staring at the ballast five feet behind me." Eva’s throat moved on a dry swallow. Her fingers twitched against her bag, once again reaching to tuck the same red lock behind her ear. Quinn pivoted smoothly, following the line of Eva’s line of sight. Beneath the rusted lip of the third rail, half-buried under soot and coal dust, something caught the halogen glare. Quinn crossed the rails, dropped to one knee, and parted the grease-caked gravel with gloved fingers. She pulled an object free. It was a pocket compass, roughly two inches in diameter, cast from heavy brass with a dull verdigris crust clinging to the filigree rim. The glass face was intact, etched from underneath with microscopic glyphs that spiraled toward the center. Inside the housing, the needle did not rest north toward Highgate. It spun in wild, erratic revolutions, vibrating so violently that the tiny brass pivot clicked against the casing. "Miller," Quinn called out, keeping her voice low and even. "Have forensics bag the rails within a fifty-foot radius. Check for metallurgical stress fractures." Miller snorted from the track bed. "Fractures? Harlow, this line hasn't seen a train since 1924. The tracks are solid iron." "They're brittle," Quinn said, standing and turning the brass instrument in her hand. "The third rail insulator is cracked right here, covered in hoarfrost. The ballast stones directly beneath this compass have been turned into silica powder." She walked back to Eva, holding the small brass instrument flat on her open palm. The needle whipped around in a furious circle, humming against the glass. Eva flinched, pulling back into the shadows of the alcove. "The man on the tracks wasn't carrying scrap iron," Quinn said. "He had a bone token in his left pocket, carved with tally marks. You know what that pays for, don't you, Ms. Kowalski?" Eva pressed her lips together, her green eyes fixed on the spinning needle. "This isn't a murder over turf," Quinn said, her voice dropping into the quiet of the tunnel. "He was running from the platform. The real question is what came through the siding to meet him."
created_at"2026-09-03T13:55:42.682Z" 9/3/2026, 1:55:42 PM
model"google/gemini-3.7-flash-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1421
moderation_latency(null)
generation_time17067
tokens_prompt1112
tokens_completion2729
native_tokens_prompt1073
native_tokens_completion3375
native_tokens_completion_images0
native_tokens_reasoning1671
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"
usage0.013461
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443742-ByClxxBtaWvfrSIMMLUt"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443742-KVEkGkfiRN7O0LmOxfkb"
upstream_id"XnyZaumWMoKl1MkP0_SoqAE"
provider_responses
0
endpoint_id"dd072012-3274-417d-97e3-e290cba37e31"
id"XnyZaumWMoKl1MkP0_SoqAE"
is_byokfalse
latency1421
model_permaslug"google/gemini-3.7-flash-20260813"
provider_name"Google AI Studio"
status200
total_cost0.013461
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
totalTags17
adverbTagCount0
adverbTags(empty)
dialogueSentences35
tagDensity0.486
leniency0.971
rawRatio0
effectiveRatio0
88.12% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1263
totalAiIsmAdverbs3
found
0
adverb"sharply"
count1
1
adverb"perfectly"
count1
2
adverb"quickly"
count1
highlights
0"sharply"
1"perfectly"
2"quickly"
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)
60.41% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1263
totalAiIsms10
found
0
word"shattered"
count1
1
word"measured"
count1
2
word"weight"
count1
3
word"traced"
count1
4
word"silk"
count2
5
word"glistening"
count1
6
word"pulse"
count1
7
word"chill"
count1
8
word"etched"
count1
highlights
0"shattered"
1"measured"
2"weight"
3"traced"
4"silk"
5"glistening"
6"pulse"
7"chill"
8"etched"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count2
highlights
0"eyes narrowed"
1"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences69
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences69
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences87
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1262
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions8
unquotedAttributions0
matches(empty)
29.86% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions45
wordCount874
uniqueNames12
maxNameDensity2.4
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Camden1
High1
Street1
Victorian1
Northern1
Harlow1
Quinn21
Constable1
Miller7
Morris1
Eva8
Highgate1
persons
0"Harlow"
1"Quinn"
2"Constable"
3"Miller"
4"Morris"
5"Eva"
places
0"Camden"
1"High"
2"Street"
3"Highgate"
globalScore0.299
windowScore0.5
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
per1kWords0.792
wordCount1262
matches
0"not by flame, but by extreme cold"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences87
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs46
mean27.43
std15.05
cv0.548
sampleLengths
047
139
225
324
453
523
67
726
827
951
1018
118
1215
1313
1433
1540
1610
1717
1862
1959
207
212
2222
2358
2421
2514
2632
2718
2837
2931
3030
3147
3225
3311
3435
355
3640
3729
3824
3921
4037
4127
4210
4334
4413
4535
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences69
matches
0"was shredded"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs145
matches(empty)
77.18% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences87
ratio0.023
matches
0"Cold air pushed up the shaft, thick with the stench of stagnant sewer damp, iron filings, and something sharply chemical—like ozone after a lightning strike."
1"Her pulse hitched against her collar—the same phantom chill she had pulled off Morris's jacket in the warehouse three years ago, before the brass buried the report and classified the file."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount882
adjectiveStacks1
stackExamples
0"harsh, clinical white, casting"
adverbCount15
adverbRatio0.017006802721088437
lyAdverbCount8
lyAdverbRatio0.009070294784580499
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences87
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences87
mean14.51
std7.65
cv0.527
sampleLengths
022
125
212
36
421
56
619
724
817
936
1018
115
127
1312
1414
1511
1616
1711
1823
194
2013
2118
228
2315
2410
253
2612
2721
2832
298
304
316
3217
3321
3416
3525
3612
3713
383
3931
407
412
4222
4319
4412
457
4620
476
4815
4914
72.03% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.45977011494252873
totalSentences87
uniqueOpeners40
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences67
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences67
matches
0"She adjusted her collar, stepped"
1"Her boots crunched over shattered"
2"She stopped beside the body."
3"Her brown eyes narrowed as"
4"His woollen duster was indeed"
5"His hands rested palm-up."
6"Her jaw tightened."
7"Her pulse hitched against her"
8"She clutched a battered leather"
9"Her right hand darted up,"
10"Her knuckles remained bloodless white"
11"Her fingers twitched against her"
12"She pulled an object free."
13"It was a pocket compass,"
14"It spun in wild, erratic"
15"She walked back to Eva,"
ratio0.239
19.70% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount59
totalSentences67
matches
0"The iron spiral staircase dropped"
1"Detective Harlow Quinn checked the"
2"Midnight had passed twenty minutes"
3"She adjusted her collar, stepped"
4"Her boots crunched over shattered"
5"Detective Constable Miller stood twenty"
6"Miller tossed a thumb over"
7"Quinn kept her stride measured,"
8"She stopped beside the body."
9"Quinn looked down at the"
10"Miller pointed with his coffee"
11"Quinn crouched, balancing her weight"
12"Her brown eyes narrowed as"
13"The victim lay sprawled on"
14"His woollen duster was indeed"
15"His hands rested palm-up."
16"The skin across his fingers"
17"Quinn directed the light onto"
18"Miller leaned in, chewing on"
19"Quinn pointed the beam along"
ratio0.881
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences67
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount2
matches
0"The dark crimson stains formed sharp, radial spokes, radiating outward from the chest cavity in six perfectly equidistant lines, cutting straight across the une…"
1"The glass face was intact, etched from underneath with microscopic glyphs that spiraled toward the center."
66.18% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount2
matches
0"Eva said, her voice thin, competing with the hum of the generator"
1"Quinn said, her voice dropping into the quiet of the tunnel"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount1
fancyTags
0"Quinn called out (call out)"
dialogueSentences35
tagDensity0.171
leniency0.343
rawRatio0.167
effectiveRatio0.057
82.4716%