Run: 2026-09-02-01M1H9AFFYBGE2RG6H9WMXX3XS

Run Details

Model:
Qwen 3.8 Max (Reasoning, XHigh)
Test:
Bad Writing Habits
Scenario:
Romance: separated couple reunites
Duration:
3m 3s
Cost:
$0.000000
Provider:
Alibaba

Evaluation summary

Score Evaluator
Details Link
100.00% Adverbs in dialogue tags (details)
100.00% AI-ism adverb frequency (details)
100.00% AI-ism character names (details)
100.00% AI-ism location names (details)
100.00% AI-ism word frequency (details)
100.00% Cliché density (details)
100.00% Emotion telling (show vs. tell) (details)
32.97% Filter word density (details)
100.00% Gibberish response detection (details)
100.00% Markdown formatting overuse (details)
100.00% Missing dialogue indicators (quotation marks) (details)
100.00% Name drop frequency (details)
100.00% Narrator intent-glossing (details)
100.00% "Not X but Y" pattern overuse (details)
71.43% Overuse of "that" (subordinate clause padding) (details)
100.00% Paragraph length variance (details)
91.77% Passive voice overuse (details)
100.00% Past progressive (was/were + -ing) overuse (details)
61.22% Em-dash & semicolon overuse (details)
100.00% Purple prose (modifier overload) (details)
100.00% Repeated phrase echo (details)
100.00% Sentence length variance (details)
86.67% Sentence opener variety (details)
0.00% Adverb-first sentence starts (details)
56.36% Pronoun-first sentence starts (details)
0.00% Subject-first sentence starts (details)
0.00% Subordinate conjunction sentence starts (details)
0.00% Technical jargon density (details)
100.00% Useless dialogue additions (details)
100.00% Dialogue tag variety (said vs. fancy) (details)
80.0139% Overall

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="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4415" name="Lucien Moreau" aliases="Lucien, Luc, the Frenchman" pronouns="he/him" species="Half-Demon" storyRole="Ally"> <eyeColor>heterochromatic — one amber, one black</eyeColor> <hair>slicked-back platinum blond</hair> <height>5'11"</height> <age>32</age> <cane>ivory-handled cane that conceals a thin blade</cane> <dress>tailored charcoal suits</dress> <description>An impeccably dressed fixer and information broker in London's supernatural underworld. He speaks four languages fluently.</description> <backstory>Born in Marseille to a human mother and a demon father from the realm of Avaros.</backstory> </character> <location id="858" name="Eva's Flat" aliases="Eva's place, the flat on Brick Lane" realm="Earth"> <cat>tabby cat named Ptolemy</cat> <security>three deadbolts on the front door</security> <description>A cramped one-bedroom flat above a curry house on Brick Lane, East London. Every surface is covered with books, scrolls, and research notes.</description> </location> </codex> Write a fully fleshed out scene of at least 1000 words in the romance genre. Two people who parted on complicated terms are forced together again when one shows up unannounced at the other's flat. There's history between them — attraction, hurt, and things left unsaid. Write the scene from the moment the door opens. 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
Aurora opened the door and found Lucien Moreau standing in the thin corridor above the curry house, rain beading on the shoulders of his charcoal suit as if even London weather had decided to treat him like an expensive inconvenience. The landing light buzzed behind him, turning his platinum hair to white fire. One hand rested on the ivory head of his cane. The other was curled into a fist, as though he had been seconds away from knocking again and then thought better of it. “Rory,” he said. The name came out low, careful, shaped by an accent she had once pretended not to notice. Her body answered before her mind did: heat along the back of her neck, the old quickening in her chest, then anger, brisk and bright. “Eva’s not here,” she said. “I know.” “Then you’re not here for Eva.” “No.” She looked at him properly then, taking in the dampness at his temples, the unnatural stillness in his shoulders, the way his mismatched eyes—one amber, one black—moved past her into the flat. The black one seemed to swallow the hallway light. She had spent three months convincing herself that memory had softened him into something manageable. Memory had lied. “You have five seconds,” she said, “to explain why I shouldn’t shut this door.” “I need to stay until dawn.” “That’s not an explanation.” “It’s the only one I have.” She began to close the door. His hand came up, not to push it, only to rest against the frame. A line of red showed at his cuff, bright against white linen. Rory looked at the blood, then at his face. “You’re hurt.” “Not badly.” “You’re a terrible liar. It’s the only thing about you I ever trusted.” Ptolemy, who had been asleep on a stack of Eva’s ethnobotany journals, lifted his tabby head and blinked at the intrusion. The flat behind Rory was cramped and warm, every surface buried under books, scrolls, and research notes in Eva’s cramped handwriting. The smell of cumin from below had soaked into the walls and now mingled with the rain on Lucien’s coat. He looked as if he had stepped into a cabinet belonging to someone else’s life. He looked as if he knew exactly how dangerous that was. “Please,” he said. The word scraped something raw in her. She hated it. She hated that she heard sincerity in
created_at"2026-09-02T14:45:43.049Z" 9/2/2026, 2:45:43 PM
model"qwen/qwen3.8-max-20260803"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency790
moderation_latency(null)
generation_time182969
tokens_prompt788
tokens_completion7183
native_tokens_prompt788
native_tokens_completion7183
native_tokens_completion_images(null)
native_tokens_reasoning6579
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(null)
native_finish_reason(null)
service_tier(null)
usage0
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788360343-hldrbkIa61Dh6pYx7KDX"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788360343-CsWV7HtiSzuZQSh6BkfR"
upstream_id"chatcmpl-5de36017-adb3-9865-9872-4dc76111e83e"
provider_responses
0
endpoint_id"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id"chatcmpl-5de36017-adb3-9865-9872-4dc76111e83e"
is_byokfalse
latency790
model_permaslug"qwen/qwen3.8-max-20260803"
provider_name"Alibaba"
status200
total_cost0
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
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)
dialogueSentences13
tagDensity0.308
leniency0.615
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount402
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)
100.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount402
totalAiIsms0
found(empty)
highlights(empty)
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
narrationSentences26
matches(empty)
32.97% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences26
filterMatches(empty)
hedgeMatches
0"seemed to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences35
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords400
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions8
wordCount341
uniqueNames5
maxNameDensity0.59
worstName"Lucien"
maxWindowNameDensity1
worstWindowName"Eva"
discoveredNames
Lucien2
Moreau1
London1
Eva2
Rory2
persons
0"Lucien"
1"Moreau"
2"Eva"
3"Rory"
places
0"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences20
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount400
matches(empty)
71.43% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences35
matches
0"hated that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean21.05
std27.09
cv1.287
sampleLengths
086
13
242
35
42
56
61
759
814
96
104
116
1232
1311
142
1513
1688
173
1817
91.77% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences26
matches
0"was curled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs59
matches(empty)
61.22% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences35
ratio0.029
matches
0"She looked at him properly then, taking in the dampness at his temples, the unnatural stillness in his shoulders, the way his mismatched eyes—one amber, one black—moved past her into the flat."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount343
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.03498542274052478
lyAdverbCount3
lyAdverbRatio0.008746355685131196
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences35
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences35
mean11.43
std8.97
cv0.785
sampleLengths
040
113
210
323
43
517
625
75
82
96
101
1132
129
1315
143
1514
166
174
186
196
2014
2112
229
232
242
2513
2621
2721
2820
2915
3011
313
327
333
347
86.67% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.5714285714285714
totalSentences35
uniqueOpeners20
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences22
matches(empty)
ratio0
56.36% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences22
matches
0"Her body answered before her"
1"She looked at him properly"
2"She had spent three months"
3"She began to close the"
4"His hand came up, not"
5"He looked as if he"
6"He looked as if he"
7"She hated it."
8"She hated that she heard"
ratio0.409
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount21
totalSentences22
matches
0"Aurora opened the door and"
1"The landing light buzzed behind"
2"The other was curled into"
3"The name came out low,"
4"Her body answered before her"
5"She looked at him properly"
6"The black one seemed to"
7"She had spent three months"
8"Memory had lied."
9"She began to close the"
10"His hand came up, not"
11"A line of red showed"
12"Rory looked at the blood,"
13"Ptolemy, who had been asleep"
14"The flat behind Rory was"
15"The smell of cumin from"
16"He looked as if he"
17"He looked as if he"
18"The word scraped something raw"
19"She hated it."
ratio0.955
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences22
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount3
matches
0"Aurora opened the door and found Lucien Moreau standing in the thin corridor above the curry house, rain beading on the shoulders of his charcoal suit as if eve…"
1"Ptolemy, who had been asleep on a stack of Eva’s ethnobotany journals, lifted his tabby head and blinked at the intrusion."
2"He looked as if he had stepped into a cabinet belonging to someone else’s life."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount0
fancyTags(empty)
dialogueSentences13
tagDensity0.308
leniency0.615
rawRatio0
effectiveRatio0
80.0139%