Run: 2026-02-19-01KHTXKJESEAC22CB0BGGFC63X

Run Details

Duration:
8.5s
Cost:
$0.003763
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 lashed against the grimy brickwork of the Soho alley, the kind of biting, cold November rain that soaked through clothes and chilled to the bone. Detective Harlow Quinn’s closely cropped salt-and-pepper hair plastered to her scalp, water streamed down her sharp jaw, blurring the streetlights into distorted halos. Her breath plumed out in ragged gasps, each one a struggle against the burn in her lungs. The worn leather watch on her left wrist pressed into her skin as she pumped her arms, pursuing the figure ahead. Tomás Herrera, a blur of dark clothing, wove through overflowing bins and discarded takeaway boxes. He moved with a speed Quinn would not have expected from a civilian. She’d underestimated him. A grave error she wouldn’t repeat. The alley opened onto a wider street, the neon glow of “The Raven’s Nest” a lurid splash of green against the grey. Herrera didn’t hesitate, hooking a sharp left, disappearing around the corner. Quinn pushed harder, her military precision bearing her forward despite the fatigue. Her boots skidded on slick pavement. She rounded the corner. Herrera had vanished. She scanned the street. The rain hammered down, creating a shimmering veil, distorting her view. A flash of movement, a dark coat disappearing into a narrow gap between a boarded-up shop and a grimy pub. An access point she hadn't charted. She darted towards it, the air thick with the smell of stale beer and damp earth. The gap was barely wide enough for her shoulders, a tunnel of grime and shadow. She squeezed through, her clothes snagging on unseen protrusions. The space opened onto a deserted stretch of cobbled backstreet, lit by a single flickering streetlamp that cast long, dancing shadows. Herrera was a hundred yards ahead, a dark silhouette against the dull glow of streetlights in the distance. He looked back, his face a pale oval, a moment of hesitation before he accelerated. “Police! Stop!” Quinn’s voice was hoarse, swallowed by the drumming rain. Herrera ignored her, his short curly dark brown hair plastered wetly to his head. He sprinted, his olive skin gleaming as the streetlamp caught him. The Saint Christopher medallion around his neck swung wildly, catching the light like a tiny, erratic pendulum. He wasn’t a street rat, not really, but he moved like one, agile and quick. The street ended abruptly at a high brick wall. No escape. Quinn felt a surge of triumph, the chase nearing its conclusion. But Herrera didn’t falter. He slid to a halt, hands braced against the wall. A loose brick, hidden in the perpetual gloom, popped inwards, revealing a narrow opening. An old service entrance, long forgotten. He disappeared inside, a ghost fading into the stone. Quinn reached the wall seconds later, panting, her hands pressed against the cold, wet brick. She found the loose brick, pushed, and felt a rush of stale, damp air. The opening was a dark maw, a staircase spiralling downwards into absolute blackness. No light. No sound except the distant rumble of the Tube and the unending downpour above. She drew her sidearm, the cold steel a familiar weight in her hand. The glow of her phone’s torch cut through the gloom, revealing rough concrete steps, slick with moisture. A faint metallic tang, like old blood and rust, hung in the air. This wasn’t an ordinary cellar. The air grew heavy, thick with an almost palpable silence, broken only by the drip of water. Quinn descended cautiously, her training kicking in, each step deliberate. The staircase seemed endless, twisting and turning, disorienting her. The concrete gave way to rough-hewn earth, the air growing colder, carrying a faint whisper of… something unidentifiable. A faint, distant hum, like a forgotten city breathing. She reached an archway, shrouded in shadow. Herrera’s footsteps, faint but distinct, echoed from beyond. She moved through the arch, past the crumbling remains of what looked like an old turnstile, forgotten for decades. The space opened into a vast chamber, far larger than she expected. An abandoned Tube station, long disused. But it wasn’t empty. A kaleidoscope of glowing lanterns illuminated a chaotic scene. Stalls crafted from salvaged wood and rusted metal lined a wide platform. Shadows danced across the vaulted ceiling, lost in the cavernous space. Strange, aromatic smoke drifted from braziers, mingling with the scent of spices and something else, something wild and untamed. Faces, human and not-quite-human, moved through the throng. Figures wrapped in heavy cloaks, some with eyes that gleamed with unnatural light, haggled over goods on display. Trinkets that pulsed with a faint, internal glow. Vials filled with swirling, iridescent liquids. A low murmur of voices, a confluence of languages she didn’t recognize, filled the air, a constant hum that vibrated through the very ground. This was the Veil Market. She’d heard whispers, the kind of urban legends dismissed by rational minds. Stories from street informants, the ones about impossible goods and shadowy figures. A place that moved locations every full moon, accessible only with a bone token. Herrera, standing by a stall laden with wicked-looking blades and strange leather-bound books, spotted her. His warm brown eyes widened, alarm replacing the exhaustion. He had thought he was safe. A skeletal hand, its fingers impossibly long, reached out from a nearby stall, adorned with shimmering, unidentifiable fabrics. It gestured towards Quinn, its owner a hunched figure cloaked in shadows, a skull-like mask obscuring its face. A low, guttural growl rumbled through the market. Heads turned. Dozens of eyes, some human, some not, fixed on her. A police uniform. An outsider. Tomas spun on his heel, merging with the crowd, his olive skin disappearing amidst the swirling bodies. Quinn had a moment, a split second to decide. Her priority, Tomás Herrera, was a man she needed to question about his involvement in a string of disappearances. He possessed information, information that could lead her to answers. Answers to DS Morris and the truth behind his death. But following him further meant diving headfirst into this bizarre, dangerous world. A world she didn't understand, a world that seemed to be actively hostile. One against many. She was deep within unfamiliar territory, deep in the earth, far from backup, far from anything resembling law and order. A world without rules. Except theirs.
created_at"2026-02-19T12:22:13.222Z" 2/19/2026, 12:22:13 PM
model"google/gemini-2.5-flash"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency359
moderation_latency(null)
generation_time8497
tokens_prompt1140
tokens_completion1645
native_tokens_prompt1042
native_tokens_completion1380
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)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"STOP"
usage0.0037626
router(null)
provider_responses
0
endpoint_id"16c01e26-9b91-4d22-b487-ed35634b017d"
is_byokfalse
latency359
model_permaslug"google/gemini-2.5-flash"
provider_name"Google AI Studio"
status200
api_type"completions"
id"gen-1771503733-9cqxjB9eyx7npbO1l6U1"
upstream_id(null)
total_cost0.0037626
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences2
tagDensity1
leniency1
rawRatio0
effectiveRatio0
85.73% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1051
totalAiIsmAdverbs3
found
0
adverb"really"
count1
1
adverb"cautiously"
count1
2
adverb"very"
count1
highlights
0"really"
1"cautiously"
2"very"
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)
4.85% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1051
totalAiIsms20
found
0
word"chilled"
count1
1
word"grave"
count1
2
word"scanned"
count1
3
word"dancing"
count1
4
word"gleaming"
count1
5
word"gloom"
count2
6
word"maw"
count1
7
word"familiar"
count1
8
word"weight"
count1
9
word"palpable"
count1
10
word"silence"
count1
11
word"whisper"
count1
12
word"footsteps"
count1
13
word"echoed"
count1
14
word"kaleidoscope"
count1
15
word"chaotic"
count1
16
word"pulsed"
count1
17
word"vibrated"
count1
18
word"amidst"
count1
highlights
0"chilled"
1"grave"
2"scanned"
3"dancing"
4"gleaming"
5"gloom"
6"maw"
7"familiar"
8"weight"
9"palpable"
10"silence"
11"whisper"
12"footsteps"
13"echoed"
14"kaleidoscope"
15"chaotic"
16"pulsed"
17"vibrated"
18"amidst"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"hung in the air"
count1
highlights
0"eyes widened"
1"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences92
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences92
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences92
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1043
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount1038
uniqueNames12
maxNameDensity0.87
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Soho1
November1
Harlow1
Quinn9
Herrera9
Saint1
Christopher1
Tube2
Veil1
Market1
Tomás2
Morris1
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Veil"
6"Tomás"
7"Morris"
places
0"Soho"
1"Market"
globalScore1
windowScore1
16.67% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences75
glossingSentenceCount4
matches
0"seemed endless twisting and turning, disorienting her"
1"looked like an old turnstile, forgotten f"
2"not-quite human, moved through the throng"
3"world that seemed to be actively hostile"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.959
wordCount1043
matches
0"not really, but he moved like one, agile"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences92
matches(empty)
63.29% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs15
mean69.53
std25.83
cv0.372
sampleLengths
087
170
266
394
411
557
665
758
865
946
1056
11115
1273
1361
14119
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences92
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs160
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences92
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1046
adjectiveStacks1
stackExamples
0"strange leather-bound books,"
adverbCount23
adverbRatio0.02198852772466539
lyAdverbCount12
lyAdverbRatio0.011472275334608031
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences92
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences92
mean11.34
std5.82
cv0.514
sampleLengths
026
123
217
321
415
513
63
76
822
911
1012
116
124
133
144
1511
1620
176
1816
1915
209
2121
2218
2315
2411
2514
2611
2717
2815
299
302
3111
324
3310
3414
356
369
3715
3814
3913
402
4114
4213
4317
4413
455
4617
4710
489
4916
55.80% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.34782608695652173
totalSentences92
uniqueOpeners32
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences86
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences86
matches
0"Her breath plumed out in"
1"He moved with a speed"
2"She’d underestimated him."
3"Her boots skidded on slick"
4"She rounded the corner."
5"She scanned the street."
6"She darted towards it, the"
7"She squeezed through, her clothes"
8"He looked back, his face"
9"He sprinted, his olive skin"
10"He wasn’t a street rat,"
11"He slid to a halt,"
12"He disappeared inside, a ghost"
13"She found the loose brick,"
14"She drew her sidearm, the"
15"She reached an archway, shrouded"
16"She moved through the arch,"
17"She’d heard whispers, the kind"
18"His warm brown eyes widened,"
19"He had thought he was"
ratio0.279
0.70% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences86
matches
0"Rain lashed against the grimy"
1"Detective Harlow Quinn’s closely cropped"
2"Her breath plumed out in"
3"The worn leather watch on"
4"Tomás Herrera, a blur of"
5"He moved with a speed"
6"She’d underestimated him."
7"A grave error she wouldn’t"
8"The alley opened onto a"
9"Herrera didn’t hesitate, hooking a"
10"Quinn pushed harder, her military"
11"Her boots skidded on slick"
12"She rounded the corner."
13"Herrera had vanished."
14"She scanned the street."
15"The rain hammered down, creating"
16"A flash of movement, a"
17"An access point she hadn't"
18"She darted towards it, the"
19"The gap was barely wide"
ratio0.919
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences86
matches(empty)
ratio0
89.95% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences54
technicalSentenceCount4
matches
0"Figures wrapped in heavy cloaks, some with eyes that gleamed with unnatural light, haggled over goods on display."
1"A low murmur of voices, a confluence of languages she didn’t recognize, filled the air, a constant hum that vibrated through the very ground."
2"A place that moved locations every full moon, accessible only with a bone token."
3"Tomas spun on his heel, merging with the crowd, his olive skin disappearing amidst the swirling bodies."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
79.2548%