Run: 2026-02-19-01KHTYSQJAJQWVZ8BP6ANTXBVF

Run Details

Duration:
6.4s
Cost:
$0.000565
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 cobblestones of Soho, each drop a tiny drumbeat against the already thunderous night. Detective Harlow Quinn’s breath plumed, a white ghost in the grimy lamplight, as her sensible boots splashed through widening puddles. The suspect, a wiry figure cloaked in a threadbare hoodie, darted ahead, a shadow flitting between overflowing bins and skeletal scaffolding. Eighteen years of police work had honed Harlow’s senses to a razor's edge, but this chase felt different. The desperation in the runner’s movements, the sheer visceral fear radiating from him, prickled her skin. He ducked into a narrow alley, the stench of stale beer and something acrid, like burnt sugar, filling the air. Harlow didn’t hesitate, her military bearing propelling her forward. The alley twisted, a rat maze of damp brick and overflowing dumpsters. A flash of movement ahead. The suspect scrambled over a low wall, disappearing from view. Harlow reached the wall, her gloved hands finding purchase on the slick, moss-covered stone. She hoisted herself up, her muscles protesting slightly, and dropped down to the other side. She found herself in a cramped service yard behind a bar. A faded green neon sign buzzed erratically above a heavy wooden door: The Raven’s Nest. The suspect was already gone, a slamming door echoing from somewhere within. Harlow strode to the door, her hand already reaching for the heavy brass handle. It was locked. She rattled it, a futile gesture. Through the small, grimy window beside the door, she saw dim light, heard the low murmur of voices, the clinking of glasses. Not the sound of a hurried escape. He wouldn't have gone inside so openly. She circled the building, her gaze scanning for any other entrance. The rain offered a shroud, muffling sounds, blurring vision, but it also amplified the metallic tang of fear that still clung to the air from the alley. He’d been running *from* something here, not just away from her. A section of the wall, darker than the surrounding brick, caught her eye. A slight discoloration, a subtle shift in the texture. She ran her hand over it. Cool, damp stone. But beneath her fingertips, a faint seam. She pushed. Nothing. She leaned her shoulder into it, a low grunt escaping her. The brickwork shifted, a barely perceptible groan, then swung inward. Darkness. And a blast of stale, cloying air, thick with the smell of damp earth and something else… ancient, like forgotten spices. It was a narrow passage, barely wider than her shoulders. The sounds of the bar ceased abruptly, replaced by an unnerving silence. She hesitated. This was beyond protocol. This was the wild, the unknown. The missing partner, DS Morris, the unexplained circumstances three years ago… the whispers of things that defied logic. The raw, primal fear she’d sensed in the suspect suddenly made a terrible kind of sense. She retrieved her compact flashlight, its beam cutting a weak swathe through the oppressive black. The passage sloped downward, the rough-hewn walls slick with condensation. Her boots crunched on loose gravel. Each step was measured, deliberate. The stench intensified, a heady mix of mildew, cheap incense, and something vaguely metallic, like old blood. Then, a faint glow ahead. And voices. Not the hushed murmurs of the bar, but a low, guttural din, a symphony of strange languages and stranger transactions. The passage opened into a cavernous space, the air thick and humid. The glow emanated from flickering gas lamps and hastily erected stalls, their makeshift awnings casting dancing shadows. This was no ordinary cellar. This was… the Veil Market. Abandoned train tunnels, carved into the earth beneath Camden, transformed into a clandestine bazaar. Bone tokens, the entry requirement she'd only heard whispered in hushed tones, lay scattered on the muddy ground near the entrance. She saw stalls laden with peculiar wares: vials of shimmering liquids, sigil-etched amulets, objects that pulsed with a dim, internal light. Hooded figures bartered in hushed tones, their faces obscured by shadow, their movements furtive. And then she saw him. The suspect, his earlier fear now replaced by a frantic desperation, was pushing through the throng, heading deeper into the maze of stalls. He clutched a small, dark object in his hand, his knuckles white. Harlow’s hand instinctively went to the holster of her service weapon, the familiar weight a small comfort in this alien environment. This was it. The criminal element she suspected was more than just petty thieves and dealers. Morris’s case… it had led her to the fringes of this world. Now, it looked like it had led her directly into its heart. She could turn back. Retreat to the familiar, to the rain-slicked streets and the lawful world. Call for backup. But backup wouldn't understand this. They wouldn’t know what to do with glowing potions and hooded figures speaking in tongues she'd never heard. The suspect was a lead, a thread leading into a tapestry of something far larger and more dangerous than she could have imagined. The worn leather strap of her watch was a familiar anchor, the ticking a steady rhythm against the cacophony of the market. She took a deep, steadying breath, the strange, cloying air filling her lungs. She stepped forward, her flashlight beam cutting through the gloom, and followed.
created_at"2026-02-19T12:43:03.631Z" 2/19/2026, 12:43:03 PM
model"google/gemini-2.5-flash-lite"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency421
moderation_latency(null)
generation_time6324
tokens_prompt1140
tokens_completion1363
native_tokens_prompt1042
native_tokens_completion1152
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"
usage0.000565
router(null)
provider_responses
0
endpoint_id"ce839073-aa24-4f29-8358-15b319bd05ec"
is_byokfalse
latency421
model_permaslug"google/gemini-2.5-flash-lite"
provider_name"Google AI Studio"
status200
api_type"completions"
id"gen-1771504983-TZa5mdvbrZW6pCRXlWac"
upstream_id(null)
total_cost0.000565
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
totalTags0
88.64% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount880
totalAiIsmAdverbs2
found
0
adverb"slightly"
count1
1
adverb"suddenly"
count1
highlights
0"slightly"
1"suddenly"
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)
3.41% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount880
totalAiIsms17
found
0
word"echoing"
count1
1
word"scanning"
count1
2
word"silence"
count1
3
word"oppressive"
count1
4
word"measured"
count1
5
word"symphony"
count1
6
word"dancing"
count1
7
word"clandestine"
count1
8
word"etched"
count1
9
word"pulsed"
count1
10
word"familiar"
count3
11
word"weight"
count1
12
word"tapestry"
count1
13
word"cacophony"
count1
14
word"gloom"
count1
highlights
0"echoing"
1"scanning"
2"silence"
3"oppressive"
4"measured"
5"symphony"
6"dancing"
7"clandestine"
8"etched"
9"pulsed"
10"familiar"
11"weight"
12"tapestry"
13"cacophony"
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
narrationSentences79
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences79
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences79
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords876
ratio0.001
matches
0"from"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions15
wordCount876
uniqueNames9
maxNameDensity0.68
worstName"Harlow"
maxWindowNameDensity2.5
worstWindowName"Harlow"
discoveredNames
Soho1
Harlow6
Quinn1
Raven1
Nest1
Morris2
Veil1
Market1
Camden1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
4"Camden"
places
0"Soho"
globalScore1
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount1
matches
0"looked like it had led her directly into"
85.84% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.142
wordCount876
matches
0"Not the hushed murmurs of the bar, but a low, guttural din, a symphony of strange languages"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences79
matches(empty)
0.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs9
mean97.33
std11.05
cv0.113
sampleLengths
091
185
297
3111
490
580
6109
7101
8112
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences79
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs123
matches
0"was pushing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences79
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount880
adjectiveStacks1
stackExamples
0"slick, moss-covered stone."
adverbCount33
adverbRatio0.0375
lyAdverbCount12
lyAdverbRatio0.013636363636363636
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences79
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences79
mean11.09
std6.44
cv0.581
sampleLengths
016
120
221
318
416
520
69
712
85
910
1014
1115
1211
1315
1412
1514
163
176
1822
197
207
2111
2227
2311
2413
259
266
273
287
292
301
3111
3210
331
3417
354
3610
3712
382
394
406
4111
427
4316
4415
4510
466
475
4817
495
49.79% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.3670886075949367
totalSentences79
uniqueOpeners29
46.30% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences72
matches
0"Then, a faint glow ahead."
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences72
matches
0"He ducked into a narrow"
1"She hoisted herself up, her"
2"She found herself in a"
3"It was locked."
4"She rattled it, a futile"
5"He wouldn't have gone inside"
6"She circled the building, her"
7"He’d been running *from* something"
8"She ran her hand over"
9"She leaned her shoulder into"
10"It was a narrow passage,"
11"She retrieved her compact flashlight,"
12"Her boots crunched on loose"
13"She saw stalls laden with"
14"He clutched a small, dark"
15"it had led her to"
16"She could turn back."
17"They wouldn’t know what to"
18"She took a deep, steadying"
19"She stepped forward, her flashlight"
ratio0.278
78.06% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount55
totalSentences72
matches
0"Detective Harlow Quinn’s breath plumed,"
1"The suspect, a wiry figure"
2"The desperation in the runner’s"
3"He ducked into a narrow"
4"Harlow didn’t hesitate, her military"
5"The alley twisted, a rat"
6"A flash of movement ahead."
7"The suspect scrambled over a"
8"Harlow reached the wall, her"
9"She hoisted herself up, her"
10"She found herself in a"
11"A faded green neon sign"
12"The suspect was already gone,"
13"Harlow strode to the door,"
14"It was locked."
15"She rattled it, a futile"
16"He wouldn't have gone inside"
17"She circled the building, her"
18"The rain offered a shroud,"
19"He’d been running *from* something"
ratio0.764
69.44% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences72
matches
0"Now, it looked like it"
ratio0.014
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences48
technicalSentenceCount0
matches(empty)
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
86.6270%