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Run: 2026-02-25-01KJBEZFXCKGSE85PSQTNXZDE6
Run Details
Model:
Qwen 3.5 Flash
Test:
Bad Writing Habits
Scenario:
Literary fiction: old friends reunite
Duration:
38.5s
Cost:
$0.002171
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
86.94%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
44.48%
AI-ism word frequency
(details)
100.00%
Cliché density
(details)
100.00%
Emotion telling (show vs. tell)
(details)
100.00%
Filter word density
(details)
100.00%
Gibberish response detection
(details)
100.00%
Markdown formatting overuse
(details)
100.00%
Missing dialogue indicators (quotation marks)
(details)
50.00%
Name drop frequency
(details)
94.44%
Narrator intent-glossing
(details)
100.00%
"Not X but Y" pattern overuse
(details)
100.00%
Overuse of "that" (subordinate clause padding)
(details)
100.00%
Paragraph length variance
(details)
99.95%
Passive voice overuse
(details)
84.06%
Past progressive (was/were + -ing) overuse
(details)
100.00%
Em-dash & semicolon overuse
(details)
100.00%
Purple prose (modifier overload)
(details)
100.00%
Repeated phrase echo
(details)
100.00%
Sentence length variance
(details)
38.89%
Sentence opener variety
(details)
28.74%
Adverb-first sentence starts
(details)
0.00%
Pronoun-first sentence starts
(details)
0.00%
Subject-first sentence starts
(details)
0.00%
Subordinate conjunction sentence starts
(details)
100.00%
Technical jargon density
(details)
34.09%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
78.7194%
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="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</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> </codex> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. 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
Messages
Meta
AI
The neon green sign of
The Raven’s Nest buzzed against the Soho night like a trapped insect. Inside, the air smelled of stale lager, wet wool, and the copper tang of old maps spread across the walls.
Aurora sat on a stool
three down from the jukebox, her knees
slightly
splayed in a way that felt defensive.
She had just shifted a
crate of pale ale from the delivery van outside.
Her uniform was still stained
with the oil grease of the engine. Silas moved along the counter, his left leg dragging just enough to rattle the silverware in the drawer he passed.
He didn’t look up when
he slid a glass across the wood. His hazel eyes were tired, rimmed with red from another long night playing the bartender while managing the ghosts in the room.
He wore his silver signet
ring on his right hand; it caught the light, a dull, cold flash. “Rory,” Silas said. It wasn’t a question. “Thanks,” Rory said.
She kept her eyes on
the glass. At forty minutes to midnight, she should have been asleep in the flat overhead, the one that smelled of him and old paper.
Instead, she was drinking water
to wash the taste of exhaust.
She lifted her wrist to
take a sip.
The skin was pale, the
small crescent scar there catching the dim light. A childhood accident.
It hurt less now than
it used to, but it
throbbed
when the rain came.
The bell above the door
chimed.
It wasn’t the heavy, mechanical
clunk of the other customers entering, but a sharp, quick tinkle. Rory looked up.
The man standing in the
doorway was tall, wearing a coat that cost more than her rent.
He shook the rain from
his hair—dark, styled, not the messy wetness of a delivery bike rider. He looked through the room,
scanning
the maps, until his gaze locked onto her. His mouth opened, then closed. He looked at her flat, black hair, straight across her shoulders.
He looked at the grease
on her sleeve. “Rory?” She set the glass down. The condensation dripped onto the bar top, pooling near the coaster.
It took her a moment
to name him. The face had thinned, the softness of university years stripped away. “Liam?” “Christ.”
He stepped forward, navigating the
floorboards that creaked under his
weight
.
He ignored the stool and
stopped in front of her.
He looked at the grease
again, then back to her eyes. “My god, you work here?” Silas paused, a rag hovering in his hand. His head tilted
slightly
toward them, the neat beard twitching. He said nothing, but his
silence
was an accusation, a
weight
in the room that Rory
could feel
pressing against her ribs. “Delivery driver,”
she said, her voice steady despite the sudden tightness in her throat
. She didn’t offer her hand. She hadn’t in a long time. “Yu-Fei’s.” Liam nodded
slowly
. “Right. Of course. I was told you were... well, you weren’t.” Told by whom? By the people who had left Cardiff to stay in the past. The ones who assumed she would come back and file for the degree she’d dropped before the first final exams. “It’s been a few years, Liam,” she said. She looked down at her
watch
. It was a plastic thing, cheap and practical. He
was checking
a gold wristwatch. The disparity sat heavy between them, invisible and suffocating. “Three years, four months,” Liam corrected. He leaned against the bar, not touching it. “I tried to find you last year. The flat in the West End, you’re not there anymore. I asked the neighbors. They said you moved to Soho.” “I moved to the top of this place,” Rory said. “It’s cheaper. And quieter.” “Is it?” Liam looked up at the ceiling, as if he could see through the floorboards to the room above. He turned back to her, a smile plastered on his face. It didn’t reach his eyes. “So, what are you doing, Rory? If you aren’t studying law.” The room smelled of damp wool and old paper again. The green neon hummed like a dying heart. Rory felt the heat in her cheeks, the flush of shame that she had spent years trying to burn down. “Working,” she said. “Living.” He took a breath, exhaling
slowly
through his nose. The smell of expensive cologne mixed with the beer scent. “You always talked about the law. You were brilliant. Everyone said so. Brendan and Jennifer, they must have been proud.” “My father is in Cardiff. My mother is retired.” “Right.” Liam tapped the bar top. He looked at Silas. “Your man?” “Owner,” Silas said, returning to his counter. He didn’t use Liam’s name. He just nodded, his limp evident as he moved to wipe a spot of spilt gin. He wore a silver signet ring that
looked like a small skull
. Liam watched it, then looked back at Rory. “Are you happy?” Liam asked. It was a direct shot, unmediated by politeness. Rory looked at the scar on her wrist, the small crescent moon shape. “I’m alive. That counts for something.” Liam winced. He looked as if he hadn’t intended the words to hit so hard. He shifted his
weight
from one foot to the other, the leather of his shoes squeaking. “I just... I didn’t think you’d go back to the basement. I didn’t think you’d give up.” “Did you think I’d keep the promise?” Rory asked. She stood up. Her knees popped. She was tired. She had carried heavy boxes across a city that had nearly swallowed her last month. She wasn’t tired of the work, she was tired of the expectation. “I left for London, not for the firm, Liam. I left because I couldn’t breathe in Cardiff. And you know that.” Liam swallowed. He took a step back from the counter. “I know you left the relationship. I didn’t know you left everything.” Rory leaned against the bar, bracing herself. “I’m not a trophy you can put on a shelf, Liam. That’s not how it works.” He looked at the bar, at the collection of maps pinned to the corkboard behind Silas’s head. The Raven’s Nest was a quiet place, but it held secrets. He looked back at her. His face was older, lined with the kind of worry that came from high stakes and high pressure. He looked like a man who had won but had lost something else in the process. “I miss you,”
he said, quietly
. “Then you should miss me. But you don’t get to come in here and ask if I’m happy unless you’re going to leave.” Silas moved the glass from the counter, pouring fresh water into one of the buckets for the muck that had
been left
from Liam’s drink. He didn’t look up, but Rory felt the
weight
of his stare. The silver ring flashed again. Liam laughed, a dry, humorless sound. “I’ve got a flight at six. Back to the office.” He pulled a card from his wallet. He placed it on the sticky coaster. “If you ever want to talk. Real talk. Not... this.” Rory didn’t look at the card. She looked at the door. He
was already thinking
about leaving,
calculating
the time, the mileage, the cost of the ticket. “Thanks,” she said. She turned back to the empty glass. Liam hesitated, then nodded once, sharp and decisive. He walked past the bar, toward the door. He didn’t look back. Silas waited until the green light
flickered
off behind the glass of the door before he spoke. “A lawyer,”
Silas said, his voice low
. “Someone who wanted me to forget the mess,” Rory said. She lifted the water and drank it all in one go. The cold settled in her
stomach
, an antidote to the shame. Silas came around the counter. His limp was less pronounced when he walked, but the
tension
in his shoulders was there. He picked up the card Liam had left and set it in the trash bin beside the cash register. “He thinks you failed,” Silas said. He looked at the scar on her wrist, then at her eyes. His hazel gaze was steady. “I didn’t,” Rory said. “No,” Silas said. He walked back to the taps, checking the pressure, adjusting the flow of the beer lines. He didn’t want to argue. He knew the score better than anyone in the room. “You survived.” Rory reached out, her fingers brushing the wood of the bar. The grain felt rough under her fingertips. Outside, the neon buzz continued to
flicker
. The city
was still moving
, loud and indifferent. “Tell him I’m not dead,” Rory said. Silas didn’t smile. He turned the taps off. “You’re not.” He picked up a rag and
began to
wipe the spot where Liam had placed the card. He did it efficiently, the stain of existence disappearing from the wood. Rory sat back on the stool, watching him work. The room felt larger now that the
tension
was gone
, the
silence
filling the space with the hum of the refrigerator and the distant sirens. She was safe, and she was tired, and she was enough.
created_at
"2026-02-25T22:33:40.532Z"
2/25/2026, 10:33:40 PM
model
"qwen/qwen3.5-flash-20260224"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
509
moderation_latency
(null)
generation_time
38355
tokens_prompt
867
tokens_completion
5514
native_tokens_prompt
865
native_tokens_completion
5210
native_tokens_completion_images
(null)
native_tokens_reasoning
3176
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.0021705
router
(null)
provider_responses
0
endpoint_id
"5f6b71b5-8672-4b27-8b2d-f674429f9e63"
id
"chatcmpl-b0733dc1-affc-9715-b58f-2a139dc2ee95"
is_byok
false
latency
509
model_permaslug
"qwen/qwen3.5-flash-20260224"
provider_name
"Alibaba"
status
200
api_type
"completions"
id
"gen-1772058820-JNQ3IzGb7eAVOxJ8xj0L"
upstream_id
"chatcmpl-b0733dc1-affc-9715-b58f-2a139dc2ee95"
total_cost
0.0021705
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
22
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
43
tagDensity
0.512
leniency
1
rawRatio
0
effectiveRatio
0
86.94%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1531
totalAiIsmAdverbs
4
found
0
adverb
"slightly"
count
2
1
adverb
"slowly"
count
2
highlights
0
"slightly"
1
"slowly"
100.00%
AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0
"Blackwood"
found
(empty)
100.00%
AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions
(empty)
found
(empty)
44.48%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1531
totalAiIsms
17
found
0
word
"throbbed"
count
1
1
word
"mechanical"
count
1
2
word
"scanning"
count
1
3
word
"navigating"
count
1
4
word
"weight"
count
4
5
word
"silence"
count
2
6
word
"could feel"
count
1
7
word
"calculating"
count
1
8
word
"flickered"
count
1
9
word
"stomach"
count
1
10
word
"tension"
count
2
11
word
"flicker"
count
1
highlights
0
"throbbed"
1
"mechanical"
2
"scanning"
3
"navigating"
4
"weight"
5
"silence"
6
"could feel"
7
"calculating"
8
"flickered"
9
"stomach"
10
"tension"
11
"flicker"
100.00%
Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches
0
maxInWindow
0
found
(empty)
highlights
(empty)
100.00%
Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells
0
narrationSentences
132
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
1
hedgeCount
1
narrationSentences
132
filterMatches
0
"watch"
hedgeMatches
0
"began to"
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
153
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
maxSentenceWordsSeen
27
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1530
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
21
unquotedAttributions
0
matches
(empty)
50.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
49
wordCount
1254
uniqueNames
7
maxNameDensity
1.28
worstName
"Rory"
maxWindowNameDensity
3.5
worstWindowName
"Liam"
discoveredNames
Raven
2
Nest
2
Soho
1
Rory
16
Cardiff
1
Liam
14
Silas
13
persons
0
"Raven"
1
"Nest"
2
"Rory"
3
"Liam"
4
"Silas"
places
0
"Soho"
1
"Cardiff"
globalScore
0.862
windowScore
0.5
94.44%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
90
glossingSentenceCount
2
matches
0
"looked like a small skull"
1
"looked like a man who had won but had los"
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
0
per1kWords
0
wordCount
1530
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
153
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
50
mean
30.6
std
19.59
cv
0.64
sampleLengths
0
83
1
72
2
7
3
44
4
39
5
22
6
51
7
24
8
1
9
36
10
38
11
40
12
26
13
14
14
35
15
37
16
41
17
14
18
47
19
38
20
4
21
39
22
9
23
12
24
48
25
13
26
19
27
48
28
66
29
22
30
23
31
67
32
6
33
23
34
42
35
40
36
27
37
10
38
20
39
17
40
7
41
32
42
40
43
23
44
4
45
36
46
33
47
7
48
10
49
74
99.95%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
2
totalSentences
132
matches
0
"been left"
1
"was gone"
84.06%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
4
totalVerbs
230
matches
0
"was drinking"
1
"was checking"
2
"was already thinking"
3
"was still moving"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
1
semicolonCount
1
flaggedSentences
2
totalSentences
153
ratio
0.013
matches
0
"He wore his silver signet ring on his right hand; it caught the light, a dull, cold flash."
1
"He shook the rain from his hair—dark, styled, not the messy wetness of a delivery bike rider."
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1255
adjectiveStacks
0
stackExamples
(empty)
adverbCount
33
adverbRatio
0.026294820717131476
lyAdverbCount
7
lyAdverbRatio
0.005577689243027889
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
153
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
153
mean
10
std
5.93
cv
0.593
sampleLengths
0
17
1
20
2
20
3
14
4
12
5
20
6
12
7
22
8
18
9
3
10
4
11
3
12
7
13
23
14
11
15
8
16
13
17
3
18
15
19
6
20
16
21
3
22
17
23
17
24
14
25
5
26
11
27
8
28
1
29
5
30
11
31
8
32
11
33
1
34
12
35
10
36
11
37
5
38
8
39
10
40
22
41
14
42
5
43
6
44
1
45
3
46
11
47
3
48
12
49
20
38.89%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
17
diversityRatio
0.2549019607843137
totalSentences
153
uniqueOpeners
39
28.74%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
1
totalSentences
116
matches
0
"Instead, she was drinking water"
ratio
0.009
0.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
70
totalSentences
116
matches
0
"She had just shifted a"
1
"Her uniform was still stained"
2
"He didn’t look up when"
3
"His hazel eyes were tired,"
4
"He wore his silver signet"
5
"It wasn’t a question."
6
"She kept her eyes on"
7
"She lifted her wrist to"
8
"It hurt less now than"
9
"It wasn’t the heavy, mechanical"
10
"He shook the rain from"
11
"He looked through the room,"
12
"His mouth opened, then closed."
13
"He looked at her flat,"
14
"He looked at the grease"
15
"She set the glass down."
16
"It took her a moment"
17
"He stepped forward, navigating the"
18
"He ignored the stool and"
19
"He looked at the grease"
ratio
0.603
0.00%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
110
totalSentences
116
matches
0
"The neon green sign of"
1
"Aurora sat on a stool"
2
"She had just shifted a"
3
"Her uniform was still stained"
4
"Silas moved along the counter,"
5
"He didn’t look up when"
6
"His hazel eyes were tired,"
7
"He wore his silver signet"
8
"It wasn’t a question."
9
"She kept her eyes on"
10
"She lifted her wrist to"
11
"The skin was pale, the"
12
"A childhood accident."
13
"It hurt less now than"
14
"The bell above the door"
15
"It wasn’t the heavy, mechanical"
16
"Rory looked up."
17
"The man standing in the"
18
"He shook the rain from"
19
"He looked through the room,"
ratio
0.948
0.00%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
0
totalSentences
116
matches
(empty)
ratio
0
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
57
technicalSentenceCount
0
matches
(empty)
34.09%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
22
uselessAdditionCount
4
matches
0
"she said, her voice steady despite the sudden tightness in her throat"
1
"Liam looked up, as if he could see through the floorboards to the room above"
2
"he said, quietly"
3
"Silas said, his voice low"
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
18
fancyCount
1
fancyTags
0
"Liam corrected (correct)"
dialogueSentences
43
tagDensity
0.419
leniency
0.837
rawRatio
0.056
effectiveRatio
0.047
78.7194%