NC Bench
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Run: 2026-02-17-01KHMQNWYHN3MX6E8Y8FWSSJPT
Run Details
Model:
GPT-4.1 Nano
Test:
Bad Writing Habits
Scenario:
Thriller: chase through city streets
Duration:
9.9s
Cost:
$0.000598
Provider:
OpenAI
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
Messages
Meta
AI
The rain hit the city with relentless fury, stitching shimmering patterns onto the slick, uneven cobblestones and splattering against the neon glow of flickering street lamps. Detective Harlow Quinn moved with
calculated
purpose, her boots skimming over puddles that reflected the lager-green glow of the sign above The Raven’s Nest. Her aim was clear—she’d been trailing the figure, indistinct but hurried, through the winding alleyways and neon-bathed streets of Soho for blocks. The suspect’s silhouette darted past a cluster of lost tourists, eyes flicking over their shoulder in panic. Quinn’s breath was steady, her mind a knife’s edge sharpening with every step. She
clenched her jaw
beneath her salt-and-pepper cropped hair, her worn leather
watch
on her wrist catching a faint glimmer as she pressed on. Her military precision served her well here; she knew how to track, to anticipate, to close in. But what she didn’t know was what waited at the end of this chase—what darkness she might stumble into if she made the wrong choice. The suspect veered into a narrow, alley-lit strip where shadows swallowed him whole. Quinn slowed just enough to read his trembling shoulders—plateful with fear, or maybe something darker. She drew in a steadying breath, then slipped behind a crumbling brick wall, her eyes flicking toward the alley’s mouth. Her hand hovered near her belt, close enough to grasp her pistol if needed, but she wasn’t reckless. Not yet. No. Follow, but with caution. Suddenly, the suspect froze, glancing behind him again—this time with more desperation—as if sensing he was about to be caught. Without hesitation, he darted again, this time down a staircase into the darkness below. Quinn tensed, debating whether to pursue. The raw, instinctual part of her
screamed that she
couldn’t let him slip away, not after all this. But the other part—her gut, seasoned by eighteen years in this job—warned her of the unknown lurking under the city. She hesitated, collecting her breath, eyes narrowing as she peered into the descent. The staircase was steep, uneven, made of old metal that groaned
softly
under her
weight
as she began her descent. The muffled hum of the city faded behind her, replaced by a damp, earthy scent and the distant
echo
of
footsteps
she couldn’t see. The underworld opened beneath the streets—a hollow cavern of abandoned tunnels and underground pathways, lit only by sporadic flickers of fluorescent bulbs. A faint trace of herbal scent—strange, faintly medicinal—mingled with must and rot. She moved, instinct guiding her through the shadowed corridors, her senses heightened. Shadows danced as her
footsteps
echo
ed. Then she saw him—slipping into a doorway, his hand hesitating above a panel of faded symbols. For a moment, her mind spun with possibilities, each darker than the last. Was this the clique’s lair? Or something worse? Something that didn’t belong to the city she knew? Her fingers twitched near her holster, but she hesitated again, considering her options. The door was a thin, metal frame, probably hidden behind layers of concealment. She edged closer, eyes darting, listening for any sign of movement. She had no backup down here—no radio contact, no officers. If she pushed in and found herself surrounded, she’d be operating alone in a place that could swallow her whole. But the chase demanded an answer. She took a breath, quickening her pulse, then stepped forward. The door swung open silently on well-oiled hinges, revealing a dimly lit room cluttered with strange artifacts—
glinting
amulets, jars filled with dark liquids, and old tomes stacked precariously on shelves. The suspect was already inside, hunched over a table covered in arcane symbols. His eyes, wide and frantic,
flicked
to her, then darted back to the cluttered mess of forbidden relics. “Stop right there,” Quinn ordered
sharply
, voice calm but firm. Her hand rested near her side, wary of the unfamiliar surroundings. Her eyes darted around, registering the oddity—no faces, no immediate threats. Just him,
solitary
amidst
the chaos. The man froze, then
slowly
raised his hands as if surrendering, but she knew better than to
trust that gesture
outright. “What are you doing down here? Who are you working for?” she demanded, voice
echo
ing in the close, cluttered space. He gulped, eyes darting to a small, glowing crystal on the table, then back to her. Sweat beaded on his brow, but there was a desperation there—something she’d seen too often in the faces of the lawless, the hunted. “I’m not involved—” he started, voice trembling. “I just come for the medicine.” Her brow
furrowed
. “Medicine? You mean the stuff they sell at the Veil Market? That’s banned for a reason.” He nodded
quickly
. “Look, I wasn’t gonna hurt anyone. Just—sometimes, people need help. You wouldn’t understand.” She studied him, suspicion gnawing at her. She’d seen enough to know that no one took risks down here without a reason. The underground market was a nexus for things that defied her understanding—places where souls and secrets would vanish if she wasn’t careful. Her grip tightened briefly around her holster. She wasn’t naïve about the city and its secrets, but this felt off—more than just a suspect on the run. Still, she had to decide whether to push further. To run the risk of a confrontation she might not walk away from. Her eyes went to the hidden door behind him—the narrow slit of a passage just beyond the table, barely visible but clearly a conduit deeper into the underground labyrinth. That door could lead to the Veil Market, or somewhere darker. She took a measured breath and made her choice. “Stay where you are,” she said, voice ice-cold. “I need to see what’s
really
going on here.” In that moment, her gut told her the run wasn’t over. Not by a long shot. The shadows in this underground hold more than they let on, and the night was far from finished.
created_at
"2026-02-17T02:43:21.735836+00:00"
2/17/2026, 2:43:21 AM
model
"openai/gpt-4.1-nano-2025-04-14"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
527
moderation_latency
(null)
generation_time
9760
tokens_prompt
914
tokens_completion
1562
native_tokens_prompt
811
native_tokens_completion
1291
native_tokens_completion_images
0
native_tokens_reasoning
0
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
"completed"
usage
0.0005975
router
(null)
provider_responses
0
id
"resp_0ec22aa1201181bb016993d5bf85a481968488da0bf7e56918"
status
200
is_byok
false
latency
236
endpoint_id
"9251cee5-5503-4be9-9439-7ae21ff062a3"
provider_name
"OpenAI"
model_permaslug
"openai/gpt-4.1-nano-2025-04-14"
api_type
"completions"
id
"gen-1771296191-b213r5EAVNvrTksgwYNn"
upstream_id
"resp_0ec22aa1201181bb016993d5bf85a481968488da0bf7e56918"
total_cost
0.0005975
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
Evaluation details
Result
Evaluator
Details
Meta Data
50.0000%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
4
adverbTagCount
1
adverbTags
0
"Quinn ordered sharply, voice calm but firm [sharply]"
40.1795%
AI-ism adverb frequency
Target: <1% AI-ism adverbs (57 tracked)
wordCount
1003
totalAiIsmAdverbs
6
found
0
adverb
"quickly"
count
1
1
adverb
"sharply"
count
1
2
adverb
"slowly"
count
1
3
adverb
"softly"
count
1
4
adverb
"suddenly"
count
1
5
adverb
"really"
count
1
highlights
0
"quickly"
1
"sharply"
2
"slowly"
3
"softly"
4
"suddenly"
5
"really"
100.0000%
AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions
(empty)
found
(empty)
100.0000%
AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions
(empty)
found
(empty)
0.0000%
AI-ism word frequency
Target: <1% AI-ism words (140 tracked)
wordCount
1003
totalAiIsms
12
found
0
word
"flicked"
count
1
1
word
"glinting"
count
1
2
word
"calculated"
count
1
3
word
"solitary"
count
1
4
word
"furrowed"
count
1
5
word
"weight"
count
1
6
word
"footsteps"
count
2
7
word
"amidst"
count
1
8
word
"echo"
count
1
9
word
"echoed"
count
1
10
word
"echoing"
count
1
highlights
0
"flicked"
1
"glinting"
2
"calculated"
3
"solitary"
4
"furrowed"
5
"weight"
6
"footsteps"
7
"amidst"
8
"echo"
9
"echoed"
10
"echoing"
100.0000%
Cliche density
Target: ≤1 cliche(s) per 800-word window
totalCliches
1
maxInWindow
1
found
0
label
"clenched jaw/fists"
count
1
highlights
0
"clenched her jaw"
100.0000%
Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells
0
narrationSentences
67
matches
(empty)
100.0000%
Filter word density
Target: ≤12% sentences with filter/hedge words
filterCount
1
hedgeCount
0
narrationSentences
67
filterMatches
0
"watch"
hedgeMatches
(empty)
100.0000%
Overuse of "that" (subordinate clause padding)
Target: ≤10% sentences with "that" clauses
thatCount
2
totalSentences
71
matches
0
"screamed that she"
1
"trust that gesture"
100.0000%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
24
mean
40.71
std
23.93
cv
0.588
sampleLengths
0
72
1
96
2
68
3
5
4
78
5
57
6
52
7
59
8
54
9
16
10
61
11
38
12
21
13
20
14
39
15
13
16
19
17
16
18
44
19
49
20
40
21
9
22
17
23
34
100.0000%
Passive voice overuse
Target: ≤5% passive sentences
passiveCount
0
totalSentences
67
matches
(empty)
100.0000%
Past progressive (was/were + -ing) overuse
Target: ≤10% past progressive verbs
pastProgressiveCount
0
totalVerbs
167
matches
(empty)
95.7791%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
937
adjectiveStacks
0
stackExamples
(empty)
adverbCount
42
adverbRatio
0.044823906083244394
lyAdverbCount
14
lyAdverbRatio
0.014941302027748132
100.0000%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
71
echoCount
0
echoWords
(empty)
100.0000%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
71
mean
13.76
std
6.88
cv
0.5
sampleLengths
0
26
1
24
2
22
3
17
4
13
5
24
6
17
7
25
8
13
9
15
10
20
11
18
12
2
13
1
14
4
15
20
16
14
17
6
18
18
19
20
20
13
21
20
22
24
23
22
24
12
25
12
26
6
27
16
28
13
29
5
30
3
31
9
32
13
33
13
34
11
35
10
36
20
37
6
38
10
39
30
40
13
41
18
42
10
43
11
44
11
45
6
46
21
47
20
48
16
49
23
67.6056%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
7
diversityRatio
0.4647887323943662
totalSentences
71
uniqueOpeners
33
0.0000%
Dialogue tag variety (said vs. fancy)
Target: ≤30% fancy dialogue tags
totalTags
4
fancyCount
4
fancyTags
0
"Quinn ordered sharply, voice calm but firm (order sharply, voice)"
1
"demanded (demand)"
2
"started (start)"
3
"she said, voice ice-cold (say, voice)"
79.6214%