Run: 2026-07-25-01KYCYD2GWEHDPW7BWR3X1JJ07

Run Details

Duration:
2.7s
Cost:
$0.001507
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 rusted iron girders onto the platform below, striking the concrete with hollow echoes. Detective Harlow Quinn stepped past the yellow police cordon, her boot heels clicking against the abandoned Camden Tube station. Salt-and-pepper hair caught the harsh glare of portable halogen lamps set up along the tracks. A worn leather watch on her left wrist read three past midnight. Eighteen years on the Metropolitan Police force meant she recognized the smell of iron and decay instantly. A body hung suspended from a disused signal gantry above the third rail. Footsteps crunched over ballast. Inspector Vance joined her, wiping moisture from his forehead with a handkerchief. The drop snapped the neck clean. Suicidal leap from the gantry. Open and shut case. Harlow ignored him, fixing her brown eyes on the victim's boots dangling six feet above the ground. Look at the rope fibers on the crossbeam. Frayed ends pointed outward. Vance checked his notebook, flipping a page with damp fingers. Standard fraying from the knot friction. The weight of the man did that during the fall. Harlow approached the gantry pillar, running a gloved hand along the cold steel. A sharp jaw tightened. No dust on the bolts. Someone removed them recently. Vance scoffed, stepping closer to inspect the dangling corpse. The station has been abandoned for decades. Dust settles everywhere. You are seeing ghosts again. Ever since Morris died, you look for monsters under every floorboard. Harlow kept silent, crouching beside the rail bed. A small brass compass with verdigris patina lay half-buried in the soot. She lifted it, noting the face etched with protective sigils. The needle spun wildly, ignoring magnetic north entirely. People do not hang themselves with nautical knots in subterranean tunnels. Vance crossed his arms, his breath pluming in the damp air. Desperate men go to desperate places. He used what he had on hand. Let the coroner handle the heavy lifting. Harlow stood, slipping the brass instrument into her trench coat pocket. The dust on the ground forms a circle around the base, unbroken by footprints except for our own. No drag marks. No struggle. He materialized up there.
created_at"2026-07-25T15:30:50.534Z" 7/25/2026, 3:30:50 PM
model"google/gemini-3.5-flash-lite-20260721"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency319
moderation_latency(null)
generation_time2663
tokens_prompt1112
tokens_completion566
native_tokens_prompt1073
native_tokens_completion474
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"default"
usage0.0015069
router(null)
provider_responses
0
endpoint_id"6bd8f433-79e1-416c-b407-1772eb796c9a"
id"qtZkaofwKdeGjrEPmNmZ0Ak"
is_byokfalse
latency319
model_permaslug"google/gemini-3.5-flash-lite-20260721"
provider_name"Google AI Studio"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784993450-7sCuXIas1odUHTZ3BUjv"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784993450-X6kfdCU8ZbzD2CMIE4Oy"
upstream_id"qtZkaofwKdeGjrEPmNmZ0Ak"
total_cost0.0015069
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount357
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)
15.97% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount357
totalAiIsms6
found
0
word"echoes"
count1
1
word"footsteps"
count1
2
word"standard"
count1
3
word"weight"
count1
4
word"etched"
count1
5
word"magnetic"
count1
highlights
0"echoes"
1"footsteps"
2"standard"
3"weight"
4"etched"
5"magnetic"
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
narrationSentences40
matches(empty)
71.43% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences40
filterMatches
0"watch"
1"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences40
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen19
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords357
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
79.97% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions15
wordCount357
uniqueNames8
maxNameDensity1.4
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Harlow5
Quinn1
Camden1
Tube1
Metropolitan1
Police1
Vance4
Morris1
persons
0"Harlow"
1"Quinn"
2"Police"
3"Vance"
4"Morris"
places(empty)
globalScore0.8
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences28
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount357
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences40
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean19.83
std16.12
cv0.813
sampleLengths
079
113
216
315
417
58
614
716
817
99
109
1126
1238
1311
1411
1520
1611
1727
96.49% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences40
matches
0"been abandoned"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs59
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences40
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount360
adjectiveStacks0
stackExamples(empty)
adverbCount7
adverbRatio0.019444444444444445
lyAdverbCount4
lyAdverbRatio0.011111111111111112
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences40
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences40
mean8.93
std4.56
cv0.511
sampleLengths
016
119
215
312
417
513
64
712
86
95
104
1117
128
134
1410
156
1610
1713
184
195
204
219
227
233
245
2511
268
2712
2810
298
3011
3111
326
337
347
3511
3618
373
382
394
97.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.625
totalSentences40
uniqueOpeners25
85.47% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences39
matches
0"Ever since Morris died, you"
ratio0.026
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences39
matches
0"You are seeing ghosts again."
1"She lifted it, noting the"
2"He used what he had"
3"He materialized up there."
ratio0.103
88.21% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount29
totalSentences39
matches
0"Water dripped from rusted iron"
1"Detective Harlow Quinn stepped past"
2"Salt-and-pepper hair caught the harsh"
3"A worn leather watch on"
4"A body hung suspended from"
5"Footsteps crunched over ballast."
6"Inspector Vance joined her, wiping"
7"The drop snapped the neck"
8"Harlow ignored him, fixing her"
9"Vance checked his notebook, flipping"
10"Standard fraying from the knot"
11"The weight of the man"
12"Harlow approached the gantry pillar,"
13"A sharp jaw tightened."
14"Someone removed them recently."
15"Vance scoffed, stepping closer to"
16"The station has been abandoned"
17"Dust settles everywhere."
18"You are seeing ghosts again."
19"Harlow kept silent, crouching beside"
ratio0.744
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences39
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
technicalSentenceCount1
matches
0"Harlow ignored him, fixing her brown eyes on the victim's boots dangling six feet above the ground."
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
91.1678%