Run: 2026-02-17-01KHMMHKAE8VRX9D0Q3JV0ZPPH

Run Details

Duration:
3.8s
Cost:
$0.000818
Provider:
Novita

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
<character id="008" name="Evanora "Tally" aliases="Evanora, the wizened shopkeeper with a shock of curly red hair and currently stringing gears and and a no-nonsense demeanor, her eyes a steely gray.</character> </codex> <location id="860" name="St. Clement's Well, aliases="Evanora, the Well, St. Clement's, St. Clement, where she havealed a week's worth of artainted gold nuggets.</location> <description>It's a maze of narrow, dimly lit corridors, all converying a sense of disorientation and a whiff of jasmine, perhaps from an unseen assassin.</description> <character id="009" name="Evanora Clementine" aliases="Evanora, Evan, the Well, the Well, the Well, the Well, the Well, the Well, the Well, the Well, the well, the well.</description> </codex> <location id="861" name="Ernest Flannagan" aliases="Ernest, a gruff Irish investigator with a penchant for poetry and a keen mind for history.</location> <description>a maze of steel and stone, secreted away beneath Camouflaged doors, where they could pass safely through the heavy drapes that hung across the corridor
created_at"2026-02-17T01:48:28.909563+00:00" 2/17/2026, 1:48:28 AM
model"microsoft/wizardlm-2-8x22b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency458
moderation_latency(null)
generation_time3514
tokens_prompt917
tokens_completion280
native_tokens_prompt988
native_tokens_completion331
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"
usage0.00081778
router(null)
provider_responses
0
id"35aaa26e-c1eb-4089-b32f-2805399442dd"
status200
is_byokfalse
latency458
endpoint_id"92d0658f-b48a-4746-96e7-75ea71d5e060"
provider_name"Novita"
model_permaslug"microsoft/wizardlm-2-8x22b"
api_type"completions"
id"gen-1771292904-NMR1Lnr9F8tx86nCtBhJ"
upstream_id"35aaa26e-c1eb-4089-b32f-2805399442dd"
total_cost0.00081778
cache_discount(null)
upstream_inference_cost0
provider_name"Novita"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount148
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)
66.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount148
totalAiIsms1
found
0
word"sense of"
count1
highlights
0"sense of"
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
narrationSentences10
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences10
filterMatches(empty)
hedgeMatches(empty)
0.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences10
gibberishSentences8
adjustedGibberishSentences8
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount1
controlTokenCount0
maxSentenceWordsSeen30
ratio0.8
matches
0"<character id=\"008\" name=\"Evanora \"Tally\" aliases=\"Evanora, the wizened shopkeeper with a shock of curly red hair and currently stringing gears and and a no-nonsense demeanor, her …"
1"</codex>"
2"Clement, where she havealed a week's worth of artainted gold nuggets.</location>"
3"<description>It's a maze of narrow, dimly lit corridors, all converying a sense of disorientation and a whiff of jasmine, perhaps from an unseen assassin.</description>"
4"<character id=\"009\" name=\"Evanora Clementine\" aliases=\"Evanora, Evan, the Well, the Well, the Well, the Well, the Well, the Well, the Well, the Well, the well, the well.</descripti…"
5"</codex>"
6"<location id=\"861\" name=\"Ernest Flannagan\" aliases=\"Ernest, a gruff Irish investigator with a penchant for poetry and a keen mind for history.</location>"
7"<description>a maze of steel and stone, secreted away beneath Camouflaged doors, where they could pass safely through the heavy drapes that hung across the corridor"
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords148
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions14
wordCount106
uniqueNames6
maxNameDensity7.55
worstName"Well"
maxWindowNameDensity4
worstWindowName"Well"
discoveredNames
Clement2
St1
Evan1
Well8
Irish1
Camouflaged1
persons
0"Clement"
1"Evan"
places
0"St"
globalScore0
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences5
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount148
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences10
matches(empty)
35.94% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs5
mean29.6
std8.16
cv0.276
sampleLengths
030
122
224
327
445
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences10
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs7
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences10
ratio0
matches(empty)
95.59% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount111
adjectiveStacks0
stackExamples(empty)
adverbCount5
adverbRatio0.04504504504504504
lyAdverbCount2
lyAdverbRatio0.018018018018018018
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences10
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences10
mean14.8
std10.66
cv0.72
sampleLengths
029
11
29
32
411
524
626
71
820
925
73.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5
totalSentences10
uniqueOpeners5
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences5
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount0
totalSentences5
matches(empty)
ratio0
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount5
totalSentences5
matches
0"Clement, where she havealed a"
1"<description>It's a maze of narrow,"
2"<character aliases=\"Evanora, Evan, the Well,"
3"<location aliases=\"Ernest, a gruff Irish"
4"<description>a maze of steel and"
ratio1
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences5
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences3
technicalSentenceCount1
matches
0"<description>a maze of steel and stone, secreted away beneath Camouflaged doors, where they could pass safely through the heavy drapes that hung across the corr…"
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
75.7025%