Run: 2026-02-19-01KHTRE432K25X36Y3TFDR4E07

Run Details

Duration:
7.9s
Cost:
$0.000656
Provider:
Infermatic

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
The rain pounded the gritty streets, a relentless downpour that blurred the line between pavement and puddles. Detective Harlow Quinn splashed through the deluge, her hand wavering unsteadily as she gripped her revolver, aiming it ahead at the figure darting through the shadows. The suspect, a lanky man with a mop of curly dark hair, glanced back over his shoulder, his face a mask of terror. Harlow's quarry, who'd been surprisingly brash about peddling alchemical substances called "deBillys" in the club district the past few months. Until tonight, when he'd nearly stabbed a drunk girl with an injector after she overdosed. Harlow's pulse raced, driving her legs faster. She couldn't let him get away. Her polished veneer of a perfect solve rate wouldn't last if word got out she'd been chasing a supernatural fraud who vanished from her sight like an illusionist's trick. As if summoned by her thought, the man turned the corner ahead, yanking open a rusted metal door that looked like it hadn't been disturbed in decades. He disappeared into the darkness within. "Shit..." Harlow hissed, slowing to a halt before the door, still keeping her gun trained on the gaping maw of bricks and metal. The rain drummed against the steel bulkhead, filling the silence that greeted her. She could turn back. Let the little weasel escape and deal with the fallout from the botched bust. The station was already breathing down her neck for questioning suspects about a deceased partner when they had all sorts of powers no one understood... Harlow scowled, squeezing the grip of her gun until her knuckles turned white. It wasn't in her nature to give up, not when she was this close to the truth. This was her only lead, the only break in the case that kept her up at nights, worrying that supernatural shits were stroking the city, waiting to rip off their masks when they got bold enough. "Dammit..." She released her gun and holstered it, then gripped the door handle with a shaking hand. Tomorrow's headlines would be bad enough. At least like this, there was a chance she could wring something out of that prick. She slipped through the door, feeling it swing closed behind her. Darkness enveloped her like a suffocating blanket, so thick it felt solid. Her grip tightened on her gun, the familiar shape an anchor in the milling black. Harlow fumbled in her coat pocket, producing a small flashlight and snapping it on. Light cut through the darkness as she swept the beam back and forth, revealing crumbling brick walls and a damp, musty subway tunnel stretching into the unknown. Graffiti in colors she couldn't name coiled down the walls and across the tracks, glistening with wetness. "What the hell?" she muttered, sweeping the light along the floor, looking for any sign of her prey. There were no tracks left on the stone, no indication anyone had passed this way for decades. She walked deeper into the tunnel, the sound of her footsteps echoing off the walls. Theonly sound was distant dripping, impossible to pinpoint. Maybe... A scream split the air. A male scream, raw with pain and terror. Harlow sprinted forward, the flashlight beam bouncing wildly, picking out the same swirling graffiti over and over. Terror seized her heart as she spotted smoke boiling out of an open subway door, wreathing a dark figure crumpled on the tracks. "Damn you!" she screamed, charging forward, yanking out her cuffs. The blackness surged around her, threatening to swallow her up in its hungry jaws...
created_at"2026-02-19T10:51:51.783Z" 2/19/2026, 10:51:51 AM
model"thedrummer/rocinante-12b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency252
moderation_latency(null)
generation_time7807
tokens_prompt1162
tokens_completion900
native_tokens_prompt1059
native_tokens_completion783
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"
usage0.00065625
router(null)
provider_responses
0
endpoint_id"caf29916-6adb-45f8-b895-dd863415d3ed"
id"chatcmpl-e4990632-6c49-4244-8a4f-ae8675d3ca66"
is_byokfalse
latency87
model_permaslug"thedrummer/rocinante-12b"
provider_name"Infermatic"
status200
api_type"completions"
id"gen-1771498311-Zc0Kvrj6R7EYnbR4Njck"
upstream_id"chatcmpl-e4990632-6c49-4244-8a4f-ae8675d3ca66"
total_cost0.00065625
cache_discount(null)
upstream_inference_cost0
provider_name"Infermatic"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags5
adverbTagCount0
adverbTags(empty)
dialogueSentences5
tagDensity1
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount592
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)
15.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount592
totalAiIsms10
found
0
word"wavering"
count1
1
word"pulse"
count1
2
word"raced"
count1
3
word"perfect"
count1
4
word"maw"
count1
5
word"silence"
count1
6
word"familiar"
count1
7
word"glistening"
count1
8
word"footsteps"
count1
9
word"echoing"
count1
highlights
0"wavering"
1"pulse"
2"raced"
3"perfect"
4"maw"
5"silence"
6"familiar"
7"glistening"
8"footsteps"
9"echoing"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"knuckles turned white"
count1
highlights
0"knuckles turned white"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences38
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences38
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences38
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords592
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
90.07% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions9
wordCount584
uniqueNames3
maxNameDensity1.2
worstName"Harlow"
maxWindowNameDensity2
worstWindowName"Harlow"
discoveredNames
Harlow7
Quinn1
Tomorrow1
persons
0"Harlow"
1"Quinn"
2"Tomorrow"
places(empty)
globalScore0.901
windowScore1
78.57% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences35
glossingSentenceCount1
matches
0"looked like it hadn't been disturbed in d"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount592
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences38
matches(empty)
61.51% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs15
mean39.47
std14.42
cv0.365
sampleLengths
043
158
242
333
436
543
666
739
838
958
1050
119
1230
1323
1424
96.03% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences38
matches
0"been disturbed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs106
matches
0"were stroking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences38
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount584
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.039383561643835614
lyAdverbCount8
lyAdverbRatio0.0136986301369863
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences38
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences38
mean15.58
std7.72
cv0.496
sampleLengths
017
126
223
320
415
57
66
729
827
96
1023
1113
124
1314
1425
1513
1617
1736
1817
196
2016
2111
2212
2315
2414
2527
2617
2718
2817
2915
308
311
325
338
3417
3523
3610
3714
97.37% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.6578947368421053
totalSentences38
uniqueOpeners25
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences37
matches
0"At least like this, there"
1"Theonly sound was distant dripping,"
ratio0.054
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount11
totalSentences37
matches
0"She couldn't let him get"
1"Her polished veneer of a"
2"He disappeared into the darkness"
3"She could turn back."
4"It wasn't in her nature"
5"She released her gun and"
6"She slipped through the door,"
7"Her grip tightened on her"
8"she muttered, sweeping the light"
9"She walked deeper into the"
10"she screamed, charging forward, yanking"
ratio0.297
54.59% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount30
totalSentences37
matches
0"The rain pounded the gritty"
1"Detective Harlow Quinn splashed through"
2"The suspect, a lanky man"
3"Harlow's quarry, who'd been surprisingly"
4"Harlow's pulse raced, driving her"
5"She couldn't let him get"
6"Her polished veneer of a"
7"He disappeared into the darkness"
8"Harlow hissed, slowing to a"
9"The rain drummed against the"
10"She could turn back."
11"The station was already breathing"
12"Harlow scowled, squeezing the grip"
13"It wasn't in her nature"
14"This was her only lead,"
15"She released her gun and"
16"Tomorrow's headlines would be bad"
17"She slipped through the door,"
18"Darkness enveloped her like a"
19"Her grip tightened on her"
ratio0.811
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences37
matches
0"As if summoned by her"
ratio0.027
53.57% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences24
technicalSentenceCount3
matches
0"Detective Harlow Quinn splashed through the deluge, her hand wavering unsteadily as she gripped her revolver, aiming it ahead at the figure darting through the …"
1"Her polished veneer of a perfect solve rate wouldn't last if word got out she'd been chasing a supernatural fraud who vanished from her sight like an illusionis…"
2"This was her only lead, the only break in the case that kept her up at nights, worrying that supernatural shits were stroking the city, waiting to rip off their…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags5
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount3
fancyTags
0"Harlow hissed (hiss)"
1"she muttered (mutter)"
2"she screamed (scream)"
dialogueSentences5
tagDensity0.8
leniency1
rawRatio0.75
effectiveRatio0.75
88.2419%