Run: 2026-02-20-01KHYA665VRW1WFVYMN1Y95VHG

Run Details

Duration:
47.7s
Cost:
$0.000285
Provider:
DeepInfra

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
Rain lashed at Harlow’s face, each drop a cold pinprick. She kept her stride long and economical, the slick pavement reflecting the neon smear of Soho. He—Herrera, Tomás Herrera—was quick, surprisingly so for a man who spent his days patching up scrapes and broken bones. She’d pegged him as soft, a medic with a savior complex. She’d been wrong. He’d bolted from The Raven’s Nest like a scalded cat the moment she’d shown her badge. Silas, the bar’s owner, hadn’t even bothered with a protest, just a tight-lipped nod and a quick wipe down of the already spotless counter. Silas knew. They all knew. That was the frustrating part. They were a network, a hive, protecting something. Harlow adjusted the collar of her trench coat, the fabric already saturated. Herrera cut a hard left, disappearing into a narrow alley reeking of stale beer and something vaguely chemical. She didn’t break stride. Years on the force had taught her to anticipate, to read the flow of a chase. He was headed toward Camden. And more specifically, she suspected, toward the abandoned Tube station beneath it. The alley opened onto a wider street, the traffic a blurred stream of red and white. Herrera was already weaving through pedestrians, his dark hair plastered to his forehead. He glanced over his shoulder, catching her in the headlights of a passing cab. A flicker of something—fear, perhaps?—crossed his face. Good. Let him be afraid. She pushed past a couple huddled under an umbrella, offering a curt apology that was lost in the roar of the city. He disappeared into the grimy entrance of the Camden station, a yawning maw of darkness. The station had been closed for decades, a casualty of budget cuts and changing commuter patterns. But Harlow knew it wasn’t truly abandoned. Rumors had swirled for years. Whispers of a black market, a place where you could buy things you shouldn’t, things that weren’t…legal. She slowed, reaching the entrance. The air immediately grew colder, damper, laced with the scent of mildew and ozone. The chipped tiles of the platform were slick underfoot. Rain dripped from the decaying ceiling, forming puddles that reflected the faint streetlights filtering through the grates above. Herrera was nowhere in sight. Her hand instinctively went to the Sig Sauer holstered beneath her coat. Standard procedure. But this wasn’t a standard case. It wasn’t a mugging gone wrong or a drug deal turned sour. It was something else. Something unsettling. She pulled out her radio, her thumb hovering over the transmit button. “Quinn to Dispatch. Approaching a potential crime scene, abandoned Camden station. Requesting backup.” Static crackled in her ear. “Dispatch to Quinn. Receiving. We’ve got nothing on Camden station. And Detective, you’re a bit off your route, aren’t you?” “I’m pursuing a suspect. Tomás Herrera. Medical professional. Possible connection to known criminal activities.” “Herrera? Negative record. No outstanding warrants. You sure about this, Quinn?” She clenched her jaw. They wouldn’t understand. Not yet. “Affirmative. I’m going in.” She cut the connection, the silence amplifying the dripping water and the echoing silence of the abandoned station. She moved deeper into the darkness, drawing her weapon. The beam of her flashlight cut through the gloom, revealing a graffiti-covered wall and a line of decaying ticket booths. Then she saw it. A small, unassuming wooden door tucked away in a recess of the wall. It hadn’t been there the last time the station was superficially investigated. She remembered the report—surface level check, structurally unsound, no signs of forced entry. The report had been a lie. Or, more accurately, incomplete. She approached cautiously, her senses on high alert. The air around the door felt…different. Charged. She pressed her ear against the wood, listening for any sound. Nothing but a faint, rhythmic thrumming. An idea, a terrible suspicion, solidified in her mind. Not just a black market. Something *more* than a black market. Something…hidden. Then, a glint of metal caught her eye. A small, circular object embedded in the doorframe. A bone. A small, polished bone, crudely fashioned into a token. The entry requirement. The stories, the rumors, suddenly felt terrifyingly real. She knew, with a cold certainty, that to open that door was to cross a line. To enter a world she wasn’t prepared for. A world she hadn't even believed existed. A world that might swallow her whole. She glanced back towards the station entrance, the dim light offering a semblance of safety, of normalcy. Backup wouldn’t arrive for at least fifteen minutes. Fifteen minutes that Herrera would use to disappear further into the labyrinth beneath the city. Her worn leather watch felt heavy on her wrist. She thought of DS Morris. Three years. Three years since he'd vanished, the case file closed with the unsatisfying label of “unexplained disappearance”. Three years of unanswered questions, of gnawing doubt. She hadn't understood then. She hadn’t even known what questions to ask. But she was starting to get a sense. A terrifying sense. Herrera wasn’t just a medic. He was a key. A gatekeeper. And that door, that hidden door, was a path. She took a slow, deliberate breath. Her jaw tightened, firm and resolute. She wasn't backing away. Not this time. Morris deserved more than a closed file. *She* deserved the truth. She gripped the bone token, her fingers closing around its chillingly smooth surface. It felt ancient, cold and faintly…alive. She pushed. The door creaked inward, revealing a dimly lit passageway that descended into the earth. A wave of sounds washed over her – muffled voices, the clinking of glass, and an undertone of something else, something primal and unnerving. The scent of incense mingled with the metallic tang of blood. She hesitated for only a moment. Then, with her Sig Sauer raised and her military precision honed to a razor’s edge, Detective Harlow Quinn stepped into the Veil Market.
created_at"2026-02-20T19:59:49.445Z" 2/20/2026, 7:59:49 PM
model"google/gemma-3-27b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency478
moderation_latency(null)
generation_time47539
tokens_prompt938
tokens_completion1592
native_tokens_prompt860
native_tokens_completion1354
native_tokens_completion_images(null)
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"
usage0.00028544
router(null)
provider_responses
0
endpoint_id"8f22002c-c045-446f-a1b9-9896133536b8"
id"chatcmpl-RKAMqLQzT5Do869XbiAFlidO"
is_byokfalse
latency72
model_permaslug"google/gemma-3-27b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771617589-eWYETaBa9CKBs548yuZI"
upstream_id"chatcmpl-RKAMqLQzT5Do869XbiAFlidO"
total_cost0.00028544
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.167
leniency0.333
rawRatio0
effectiveRatio0
84.74% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount983
totalAiIsmAdverbs3
found
0
adverb"truly"
count1
1
adverb"cautiously"
count1
2
adverb"suddenly"
count1
highlights
0"truly"
1"cautiously"
2"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)
28.79% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount983
totalAiIsms14
found
0
word"complex"
count1
1
word"flicker"
count1
2
word"maw"
count1
3
word"standard"
count2
4
word"potential"
count1
5
word"silence"
count2
6
word"echoing"
count1
7
word"gloom"
count1
8
word"charged"
count1
9
word"rhythmic"
count1
10
word"glint"
count1
11
word"normalcy"
count1
highlights
0"complex"
1"flicker"
2"maw"
3"standard"
4"potential"
5"silence"
6"echoing"
7"gloom"
8"charged"
9"rhythmic"
10"glint"
11"normalcy"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"clenched jaw/fists"
count1
highlights
0"clenched her jaw"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences103
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences103
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences108
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords2
totalWords978
ratio0.002
matches
0"more"
1"She"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount914
uniqueNames16
maxNameDensity0.77
worstName"Herrera"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Harlow4
Soho1
Herrera7
Tomás1
Raven1
Nest1
Camden2
Tube1
Sig2
Sauer2
Morris2
Three3
Detective1
Quinn1
Veil1
Market1
persons
0"Harlow"
1"Herrera"
2"Tomás"
3"Nest"
4"Sauer"
5"Morris"
6"Quinn"
places
0"Soho"
1"Raven"
2"Camden"
3"Sig"
4"Veil"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences67
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount978
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences108
matches
0"open that door"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean33.72
std19.59
cv0.581
sampleLengths
059
158
267
355
482
551
638
725
825
914
1011
1113
1247
134
1448
1532
1621
1738
1838
1940
2040
2123
2220
2330
2419
252
2649
276
2823
95.04% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences103
matches
0"was headed"
1"was lost"
2"been closed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs144
matches
0"was starting"
1"wasn't backing"
37.04% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences108
ratio0.037
matches
0"He—Herrera, Tomás Herrera—was quick, surprisingly so for a man who spent his days patching up scrapes and broken bones."
1"A flicker of something—fear, perhaps?—crossed his face."
2"She remembered the report—surface level check, structurally unsound, no signs of forced entry."
3"A wave of sounds washed over her – muffled voices, the clinking of glass, and an undertone of something else, something primal and unnerving."
95.96% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount919
adjectiveStacks0
stackExamples(empty)
adverbCount41
adverbRatio0.04461371055495103
lyAdverbCount16
lyAdverbRatio0.017410228509249184
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences108
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences108
mean9.06
std5.71
cv0.631
sampleLengths
010
116
219
311
43
516
624
72
83
95
108
1112
1218
134
1416
155
1612
1716
1813
1914
207
211
224
2322
2415
2516
267
275
2817
295
3014
319
3218
335
3412
352
366
3712
384
392
4012
4113
425
4320
4414
4511
464
473
482
494
44.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats14
diversityRatio0.3425925925925926
totalSentences108
uniqueOpeners37
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences92
matches
0"Then she saw it."
1"Then, a glint of metal"
2"Then, with her Sig Sauer"
ratio0.033
50.43% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences92
matches
0"She kept her stride long"
1"He—Herrera, Tomás Herrera—was quick, surprisingly"
2"She’d pegged him as soft,"
3"She’d been wrong."
4"He’d bolted from The Raven’s"
5"They all knew."
6"They were a network, a"
7"She didn’t break stride."
8"He was headed toward Camden."
9"He glanced over his shoulder,"
10"She pushed past a couple"
11"He disappeared into the grimy"
12"She slowed, reaching the entrance."
13"Her hand instinctively went to"
14"It wasn’t a mugging gone"
15"It was something else."
16"She pulled out her radio,"
17"She clenched her jaw."
18"They wouldn’t understand."
19"She cut the connection, the"
ratio0.424
46.96% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount76
totalSentences92
matches
0"Rain lashed at Harlow’s face,"
1"She kept her stride long"
2"He—Herrera, Tomás Herrera—was quick, surprisingly"
3"She’d pegged him as soft,"
4"She’d been wrong."
5"He’d bolted from The Raven’s"
6"Silas, the bar’s owner, hadn’t"
7"They all knew."
8"That was the frustrating part."
9"They were a network, a"
10"Harlow adjusted the collar of"
11"Herrera cut a hard left,"
12"She didn’t break stride."
13"Years on the force had"
14"He was headed toward Camden."
15"The alley opened onto a"
16"Herrera was already weaving through"
17"He glanced over his shoulder,"
18"A flicker of something—fear, perhaps?—crossed"
19"She pushed past a couple"
ratio0.826
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences92
matches
0"Or, more accurately, incomplete."
1"To enter a world she"
ratio0.022
83.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences36
technicalSentenceCount3
matches
0"He—Herrera, Tomás Herrera—was quick, surprisingly so for a man who spent his days patching up scrapes and broken bones."
1"Rain dripped from the decaying ceiling, forming puddles that reflected the faint streetlights filtering through the grates above."
2"The door creaked inward, revealing a dimly lit passageway that descended into the earth."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
88.8811%