Run: 2026-09-02-01M1HGJN1W4VB71S5ZSR3X12AX

Run Details

Duration:
17.3s
Cost:
$0.013059
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
Sheets of freezing London rain battered Camden High Street, turning the asphalt into black mirrors slick with diesel and grease. Neon bled across the puddles—garish greens and chemical pinks shuddering under the stomp of heavy boots. Harlow Quinn surged through the downpour, her overcoat snapping like a sail in the gale. Salt-and-pepper hair plastered against her temples, water streaming down the hard angles of her jaw. Thirty yards ahead, Tomás Herrera sprinted through the spray, a waxed canvas trauma bag clutched tight against his ribs. "Herrera! Metropolitan Police! Drop the kit and face the wall!" Her voice cut through the drone of tires on wet tarmac. Herrera didn't slow. He cut hard left into an alleyway wedged between a shuttered kebab shop and a derelict Victorian warehouse, his trainers skidding on grease before finding purchase on broken cobbles. His dark curls whipped with every stride, dripping water down the back of his olive-skinned neck. Quinn rounded the corner three seconds behind him. Her hand drifted to the holster beneath her left lapel, fingers brushing the grip of her service weapon before settling back into a sprint. Eighteen years on the force taught her the rhythm of pursuit: let the runner burn their glycogen early, watch their shoulders drop, wait for the lungs to betray them. Herrera glanced over his shoulder. The silver glint of a Saint Christopher medallion bounced outside his soaked henley shirt. "Back off, Quinn! You don't know what you're stepping into!" "You skipped your bail hearing, Tomás! That gives me all the context I need!" Herrera vaulted a rusted pallet, landed in an ankle-deep puddle, and slammed his shoulder against a corrugated iron partition. The metal shrieked against masonry, giving way just enough for his slender frame to slide through. Quinn hit the gap without breaking momentum. The sheet metal snagged her coat, ripping a seam along the pocket, but she tore past it into the shadowed courtyard of a forgotten transport depot. Rain rattled against dead buses and stacked steel drums. Ahead, a subterranean maintenance ramp yawned into the belly of the earth, cordoned off by faded caution tape and a rusted chain-link gate peeled open at the base like a tin can. Water rushed down the incline in a turbulent brown torrent, disappearing into a subterranean mouth. Herrera dropped to his belly, slithered under the jagged chain-link, and vanished down the ramp into pitch blackness. Quinn reached the gate. She gripped the chain links, her leather watch strap groaning under tension. Her brown eyes narrowed, parsing the gloom below. The ramp descended past the modern drainage level into the brickwork of an abandoned Tube station—deeper than the Northern line, forgotten before the Blitz. She unclipped the heavy tactical torch from her belt. A clean white beam pierced the dark, illuminating wet ceramic tiles caked in fifty years of lime scale and soot. Down in the tunnel, footsteps splashed in rapid, fading cadence. "Herrera! Dead end down there, lad! Walk back up with your hands out!" No reply drifted up. Only the hollow rush of subterranean water and an odd, dry static that set the hairs on her forearms on end. Quinn drew her torch closer to her chest, ducked under the jagged metal teeth of the fence, and started down. The temperature plummeted within five paces. The wet slap of London rain faded, replaced by the suffocating weight of subterranean silence. Air clung to her skin, thick with copper, damp lime, and a cloying undertone of burned tallow. Her service boots crunched on glass shards and dry rat bones scattered across the gradient. The ramp terminated at a brick archway. Beyond it, a decommissioned platform stretched into the gloom. Rusted tracks sat submerged in black water between twin ledges of crumbling stone. Quinn swept the torch beam across the walls. Ghostly white subway tiles bore hand-painted symbols layered over vintage advertisements for long-dead department stores. Chalk marks—serpents eating their tails, interlocking triangles, tallies counted in sets of seven—glowed faintly under her light, reflecting a sickly luminescence that had no right existing without UV. A harsh cough echoed from forty yards down the track bed. Quinn killed the torch. She pressed her spine against the cool brick of a support pillar, letting her eyes adjust. Darkness here wasn't absolute. Farther down the platform, where the tunnel curved toward the deep Camden vaults, a sulfurous orange light pulsed like a dying heart. Muffled acoustics filtered up the tunnel: voices speaking in cadence, the chiming of small brass bells, the heavy strike of an anvil, the clatter of wood against iron. A market. Beneath the streets, beneath the jurisdiction of Scotland Yard, beneath the world she had spent four decades navigating with clean police logs and evidence bags. A silhouette moved near the edge of the platform ahead. Herrera stood before a heavy wooden turnstile that had been crudely bolted into the Victorian masonry. Standing guard on the other side was a figure wrapped in oiled leather coats, wide shoulders motionless, holding an iron pike tipped with a dull hooked blade. Herrera dug his hand into his pocket and produced a sliver of polished ivory—or bone. He offered it outward. The sentry inspected the carved fragment, nodded once, and pushed the turnstile arm forward with a dull, heavy clunk. "Hold it right there." Quinn stepped from behind the pillar, service Glock drawn in a two-handed low-ready stance. The weapon felt reassuringly cold and mechanical against her wet palms. Herrera froze with one leg over the turnstile. He turned slowly, raising his empty hands to chest level. The scar running along his left forearm pulled taut against his olive skin as his muscles clenched. "Quinn. Put the piece away. You draw iron like that here, you won't make it to the escalator." "Hands where I can see them, Tomás. Step back over the wood. You're coming back up to the street." "I can't do that. I've got people bleeding out in the deep stalls." "You're an unlicensed medic running gear through an unregistered tunnel. Your clinic in Soho was bad enough, but this? This is where the line ends." The sentry behind the turnstile didn't draw a weapon, didn't flinch, didn't shift stance. The figure merely turned its hooded head toward Quinn, the darkness beneath the cowl revealing nothing except the faint reflection of the sulfur lamps. "Look around you, Detective." Herrera lowered his voice, his Seville accent sharpening around the vowels. "Look at the air. Smell the tallow. You think this is a smuggler's den? You think you're hauling me into an interview room at Charing Cross?" "I don't care what brand of freak show you're buying your stolen morphine from." Quinn took two deliberate paces forward, boots solid against the stone. Her sharp jaw was set like a vice. "You were there the night DS Morris took his fall. You were the last face near that alley before the coroner's van arrived. You walked away clean while my partner ended up in a closed-casket funeral with no organs left in his chest." Herrera’s warm brown eyes flickered with genuine sorrow, his gaze dropping to the Saint Christopher medal against his sternum. "Morris looked where he shouldn't have. Just like you're doing right now." "Tell me what happened." "Cross that turnstile and you'll find out firsthand." Herrera stepped through, his boots hitting the flagstones on the other side. "Or go back to your desk, write up a lost suspect report, and live long enough to collect your pension. The Veil Market doesn't honor Met badges, Harlow. Once you walk in, nobody guarantees you walk out." The sulfur light pulsed brighter down the tunnel. The scent of ozone, bitter myrrh, and old copper rolled over the platform in a dry gust of wind. Whispers rose from the subterranean market—hundreds of voices bargaining in cadences that scraped against her eardrums like fingernails on slate. Quinn looked down at her left wrist. The worn leather strap of her watch was soaked through, the second hand sweeping steadily forward against the dial. Morris’s unsolved badge number was scratched into the backplate against her pulse. She eased the Glock back into her leather holster, snapped the thumb break shut, and reached into her coat. "Get moving, Tomás," Quinn said, her voice flat, steady, and ironclad. "Because I'm right behind you."
created_at"2026-09-02T16:52:30.918Z" 9/2/2026, 4:52:30 PM
model"google/gemini-3.8-flash-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1245
moderation_latency(null)
generation_time17277
tokens_prompt1104
tokens_completion2755
native_tokens_prompt1042
native_tokens_completion3274
native_tokens_completion_images0
native_tokens_reasoning1446
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"
usage0.013059
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788367950-l1rwgkqCMIsyF2wEm32C"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788367950-rQdffy6TrTvalPnZzrBB"
upstream_id"T1SYavE2x9H-4w_LyamJBw"
provider_responses
0
endpoint_id"d376f781-516d-42f9-936d-46f19abca6cc"
id"T1SYavE2x9H-4w_LyamJBw"
is_byokfalse
latency1244
model_permaslug"google/gemini-3.8-flash-20260902"
provider_name"Google AI Studio"
status200
total_cost0.013059
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
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences19
tagDensity0.211
leniency0.421
rawRatio0
effectiveRatio0
96.41% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1393
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
46.16% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1393
totalAiIsms15
found
0
word"streaming"
count1
1
word"glint"
count1
2
word"tension"
count1
3
word"gloom"
count2
4
word"footsteps"
count1
5
word"weight"
count1
6
word"silence"
count1
7
word"echoed"
count1
8
word"pulsed"
count2
9
word"navigating"
count1
10
word"mechanical"
count1
11
word"flickered"
count1
12
word"pulse"
count1
highlights
0"streaming"
1"glint"
2"tension"
3"gloom"
4"footsteps"
5"weight"
6"silence"
7"echoed"
8"pulsed"
9"navigating"
10"mechanical"
11"flickered"
12"pulse"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences76
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences76
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences91
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen44
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1387
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions44
wordCount1105
uniqueNames17
maxNameDensity1.09
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Herrera"
discoveredNames
London2
Camden2
High1
Street1
Quinn12
Tomás1
Herrera11
Victorian2
Saint2
Christopher2
Tube1
Northern1
Blitz1
Scotland1
Yard1
Glock2
Seville1
persons
0"Quinn"
1"Tomás"
2"Herrera"
3"Saint"
4"Christopher"
5"Glock"
places
0"London"
1"Camden"
2"High"
3"Street"
4"Victorian"
5"Scotland"
6"Seville"
globalScore0.957
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences68
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1387
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences91
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean30.82
std19.36
cv0.628
sampleLengths
036
149
210
359
461
519
610
714
835
974
1015
1118
1248
1339
1413
1525
1620
1753
1829
1951
2011
214
2270
2327
2410
2543
2638
274
2825
2935
3018
3119
3213
3325
3438
3541
3676
3719
3812
394
4057
4147
4238
4319
4416
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences76
matches
0"was scratched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs168
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences5
totalSentences91
ratio0.055
matches
0"Neon bled across the puddles—garish greens and chemical pinks shuddering under the stomp of heavy boots."
1"The ramp descended past the modern drainage level into the brickwork of an abandoned Tube station—deeper than the Northern line, forgotten before the Blitz."
2"Chalk marks—serpents eating their tails, interlocking triangles, tallies counted in sets of seven—glowed faintly under her light, reflecting a sickly luminescence that had no right existing without UV."
3"Herrera dug his hand into his pocket and produced a sliver of polished ivory—or bone."
4"Whispers rose from the subterranean market—hundreds of voices bargaining in cadences that scraped against her eardrums like fingernails on slate."
82.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1121
adjectiveStacks3
stackExamples
0"turbulent brown torrent, disappearing"
1"illuminating wet ceramic tiles"
2"sulfurous orange light pulsed"
adverbCount16
adverbRatio0.014272970561998216
lyAdverbCount13
lyAdverbRatio0.01159678858162355
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences91
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences91
mean15.24
std8.02
cv0.526
sampleLengths
020
116
215
315
419
510
611
73
829
916
108
1124
1229
135
1414
1510
1614
1719
1816
197
2026
219
2232
2315
2418
254
2612
278
2824
299
3020
3110
3213
334
3421
3520
366
3715
3817
3915
407
419
4213
438
4415
4528
4611
474
4816
494
74.36% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4725274725274725
totalSentences91
uniqueOpeners43
44.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences75
matches
0"Only the hollow rush of"
ratio0.013
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences75
matches
0"Her voice cut through the"
1"He cut hard left into"
2"His dark curls whipped with"
3"Her hand drifted to the"
4"She gripped the chain links,"
5"Her brown eyes narrowed, parsing"
6"She unclipped the heavy tactical"
7"Her service boots crunched on"
8"She pressed her spine against"
9"He offered it outward."
10"He turned slowly, raising his"
11"Her sharp jaw was set"
12"She eased the Glock back"
ratio0.173
46.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences75
matches
0"Sheets of freezing London rain"
1"Neon bled across the puddles—garish"
2"Harlow Quinn surged through the"
3"Salt-and-pepper hair plastered against her"
4"Her voice cut through the"
5"Herrera didn't slow."
6"He cut hard left into"
7"His dark curls whipped with"
8"Quinn rounded the corner three"
9"Her hand drifted to the"
10"Herrera glanced over his shoulder."
11"The silver glint of a"
12"Herrera vaulted a rusted pallet,"
13"The metal shrieked against masonry,"
14"Quinn hit the gap without"
15"The sheet metal snagged her"
16"Rain rattled against dead buses"
17"Water rushed down the incline"
18"Herrera dropped to his belly,"
19"Quinn reached the gate."
ratio0.827
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
72.83% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences51
technicalSentenceCount5
matches
0"He cut hard left into an alleyway wedged between a shuttered kebab shop and a derelict Victorian warehouse, his trainers skidding on grease before finding purch…"
1"Only the hollow rush of subterranean water and an odd, dry static that set the hairs on her forearms on end."
2"Chalk marks—serpents eating their tails, interlocking triangles, tallies counted in sets of seven—glowed faintly under her light, reflecting a sickly luminescen…"
3"Herrera stood before a heavy wooden turnstile that had been crudely bolted into the Victorian masonry."
4"Whispers rose from the subterranean market—hundreds of voices bargaining in cadences that scraped against her eardrums like fingernails on slate."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount3
matches
0"Herrera lowered, his Seville accent sharpening around the vowels"
1"Herrera stepped, his boots hitting the flagstones on the other side"
2"Quinn said, her voice flat, steady, and ironclad"
97.37% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"Quinn took (take)"
dialogueSentences19
tagDensity0.105
leniency0.211
rawRatio0.5
effectiveRatio0.105
81.4524%