NC Bench
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Run: 2026-02-17-01KHMPGPDT5ZGXJSR5XC0PFE30
Run Details
Model:
GPT-4o, Aug. 6th (temp=1)
Test:
Bad Writing Habits
Scenario:
Thriller: chase through city streets
Duration:
14.8s
Cost:
$0.015758
Provider:
Azure
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
Detective Harlow Quinn tightened her grip on the slick umbrella handle as she stalked through the rain-soaked streets of Soho. The rhythmic pattering drowned out the city's usual
cacophony
, leaving only the distant hum of cars and the occasional blare of a horn. She moved with purpose, brown
eyes narrowed
beneath the brim of her cap, every muscle taut with focus. The alleyways shrouded in shadow posed little threat to someone like her — not when her quarry, the one with secrets tied to the recent spate of bizarre occurrences, had just darted into the mazelike darkness. Tomás Herrera, always one step ahead, had slipped from sight. She caught a glimpse of him once, the medallion around his neck catching the light briefly before he vanished, swallowed up by a warren of side streets. Harlow knew Tomás in passing — a former paramedic fallen from grace, now mingling with those who dealt in shadows and whispers. His olive skin would blend into the dusky hues of the night if not for his persistent knack for drawing the wrong kind of attention. The thought of their last meeting flitted through her mind. A hurried transaction outside The Raven's Nest, his back to her as he exchanged words — and likely something more — with a figure she couldn't place. She hadn't had enough to pursue him then, but now she did. Her feet splashed through puddles, sending arcs of water against her trousers. She didn’t pause to care as she reached the edge of a deserted mercantile street flanked by aged buildings, their façades lined with the whisper of London's storied past. Old maps and black-and-white photographs marked the walls of her destination's entry point. But The Raven's Nest wasn't her target tonight; she was after something more elusive, more cunning. She caught another glimpse of Tomás, turning a corner toward the end of Charlotte Street. A smirk tugged at her lips—he
was heading
underground. The Veil Market lay beneath, its entry hidden in the abandoned passageways of the old Camden Tube station—a concealed city beneath her city. Breath rasped through her teeth, her pace dogged by the certainty that this was her opportunity. She knew better than to enter indiscriminately, but this chance was too valuable to let slide. The bone token, a
macabre
little trinket she’d borrowed from an old contact, felt cold in her coat pocket. She’d promised herself never to use it unless absolutely necessary. Darkness gave way to faintly luminescent tiles as she stepped toward the old station's mouth. Sheltered now from the rain, the tap-drip-run of water off her coat continued, forming small rivulets that raced toward grates. Tomás had to be here,
navigating
the labyrinth of the Market’s shifting stalls. The path twisted, narrowing as she descended, her shadow cast long by the flickering bulbs overhead. She heard them then — the distant murmur of many voices mingling with the scent of spices and smoke. The Veil Market was in full swing, hidden just beyond the grand iron gates that
loomed
at the tunnel’s nadir. The token came to rest in her palm, its surface cool as bone should be. An ominous reminder of the kind of place she was about to enter. She hesitated, the worn leather of her
watch
catching beneath the cuff of her coat, reminding her of her instinct and duty. Her hesitation wasn't born of fear, but caution; the Market was legendary for its danger as much as its wares. But so too was she, albeit in different circles — the Metropolitan's own legend in investigation. With a quick stride, she stepped to the gate. A bone-thin figure in a tattered greatcoat stood guard, as if conjured by her presence. No words were necessary; she handed him the token, received only an inscrutable look before the gate groaned open. Inside, the world transformed. The hum here was electric, people moving in a pulse foreign to the outside world. Stalls brimming with the impossible: alchemical reagents fizzing in glass vials, trinkets from forgotten lands, enchanted artworks of eerie beauty. Faces of all kinds, some familiar from dossiers, others that might’ve only existed in storybooks, wandered
amidst
the aisle of curiosities. Her attention tunneled to the task. Tomás was here
amidst
the chaos; she felt it more than saw it, an instinct honed from years in the field. Her quarry wouldn’t vanish without explanation a second time. She kept to the fringes, avoiding the light of overhanging lanterns, eyes fixed on potential movement. Voices battered against her awareness, snippets of conversation that promised everything for a price. She ignored them, probing deeper into the inexplicable landscape of shadows and secrets. The press of bodies finally yielded — a figure, familiar and brisk,
was weaving
through the crowd. He was careful, but not enough. The edge of his dark jacket flitted into view, tangled awkwardly in the hem of her consciousness, and she pursued. Her bearing remained military, an arrow of inevitability aligned on its mark. Suddenly, a stall burst in activity as she edged past, a cascade of wares toppling with a clatter that sounded alarm alone. Her heart leaped in time with the noise, drawing gazes like moths to flame. Harlow cursed under her breath, adrenaline sharpening senses to razor points. A glance ahead showed Tomás, stalled by the commotion, his warm brown
eyes widened
with urgency. They locked on hers, recognition flashing through, before he gathered himself and darted anew, pushing through the throng with singular determination. Such blundering on her part was rare; she wouldn’t allow it again. Yet the moment cost her, granting Tomás the lead, his silhouette swallowed by a labyrinth of pathways she couldn’t see. Despite this, hope wasn’t lost. The Market was vast, but its claustrophobic twists
were known
to confuse even the most adept of its denizens. Her pace quickened, guided by memory and instinct, adrenaline sculpting her reactions. Each step consumed the distance between them, her mission
unwavering
even as she threaded through the Market's phantasmagoria, alert to danger yet determined. The chase wasn't over — not here, not now, and certainly not while so much lay
unspoken
between Tomás and the secrets that she relentlessly pursued through London’s depths. Into this gilded maze, she ran, a hunter in pursuit, knowing that come the confrontation, they'd find answers or more questions locked tight in the night's embrace. The stage was set; only the players and their choices would decide its denouement.
created_at
"2026-02-17T02:23:07.503011+00:00"
2/17/2026, 2:23:07 AM
model
"openai/gpt-4o-2024-08-06"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
552
moderation_latency
(null)
generation_time
14710
tokens_prompt
914
tokens_completion
1678
native_tokens_prompt
811
native_tokens_completion
1373
native_tokens_completion_images
(null)
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
"stop"
usage
0.0157575
router
(null)
provider_responses
0
id
"chatcmpl-DA51gSplaO0JqqIsxgq6eJPyMvCMc"
status
200
is_byok
false
latency
334
endpoint_id
"59ea8d2a-1b1b-47f1-83de-a358a724caeb"
provider_name
"Azure"
model_permaslug
"openai/gpt-4o-2024-08-06"
api_type
"completions"
id
"gen-1771294972-B5H6hckYB97WFq5N8u79"
upstream_id
"chatcmpl-DA51gSplaO0JqqIsxgq6eJPyMvCMc"
total_cost
0.0157575
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Azure"
Evaluation details
Result
Evaluator
Details
Meta Data
100.0000%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
0
adverbTagCount
0
adverbTags
(empty)
90.7322%
AI-ism adverb frequency
Target: <1% AI-ism adverbs (57 tracked)
wordCount
1079
totalAiIsmAdverbs
1
found
0
adverb
"suddenly"
count
1
highlights
0
"suddenly"
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)
25.8573%
AI-ism word frequency
Target: <1% AI-ism words (140 tracked)
wordCount
1079
totalAiIsms
8
found
0
word
"cacophony"
count
1
1
word
"macabre"
count
1
2
word
"loomed"
count
1
3
word
"unwavering"
count
1
4
word
"unspoken"
count
1
5
word
"amidst"
count
2
6
word
"navigating"
count
1
highlights
0
"cacophony"
1
"macabre"
2
"loomed"
3
"unwavering"
4
"unspoken"
5
"amidst"
6
"navigating"
100.0000%
Cliche density
Target: ≤1 cliche(s) per 800-word window
totalCliches
2
maxInWindow
1
found
0
label
"eyes widened/narrowed"
count
2
highlights
0
"eyes narrowed"
1
"eyes widened"
100.0000%
Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells
0
narrationSentences
64
matches
(empty)
100.0000%
Filter word density
Target: ≤12% sentences with filter/hedge words
filterCount
1
hedgeCount
0
narrationSentences
64
filterMatches
0
"watch"
hedgeMatches
(empty)
100.0000%
Overuse of "that" (subordinate clause padding)
Target: ≤10% sentences with "that" clauses
thatCount
0
totalSentences
64
matches
(empty)
40.8149%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
19
mean
56.79
std
16.63
cv
0.293
sampleLengths
0
97
1
84
2
49
3
70
4
47
5
61
6
48
7
55
8
86
9
43
10
60
11
36
12
43
13
55
14
47
15
37
16
56
17
64
18
41
100.0000%
Passive voice overuse
Target: ≤5% passive sentences
passiveCount
1
totalSentences
64
matches
0
"were known"
100.0000%
Past progressive (was/were + -ing) overuse
Target: ≤10% past progressive verbs
pastProgressiveCount
2
totalVerbs
172
matches
0
"was heading"
1
"was weaving"
100.0000%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1079
adjectiveStacks
0
stackExamples
(empty)
adverbCount
31
adverbRatio
0.028730305838739572
lyAdverbCount
14
lyAdverbRatio
0.012974976830398516
100.0000%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
64
echoCount
0
echoWords
(empty)
88.1589%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
64
mean
16.86
std
6.24
cv
0.37
sampleLengths
0
20
1
23
2
18
3
36
4
10
5
27
6
22
7
25
8
10
9
27
10
12
11
12
12
29
13
13
14
16
15
15
16
9
17
23
18
16
19
16
20
19
21
10
22
15
23
20
24
13
25
16
26
19
27
20
28
15
29
13
30
22
31
20
32
16
33
9
34
15
35
19
36
4
37
15
38
20
39
21
40
6
41
21
42
9
43
16
44
14
45
13
46
17
47
6
48
20
49
12
71.3542%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
1
diversityRatio
0.4375
totalSentences
64
uniqueOpeners
28
100.0000%
Dialogue tag variety (said vs. fancy)
Target: ≤30% fancy dialogue tags
totalTags
0
fancyCount
0
fancyTags
(empty)
89.2304%