Run: 2026-02-20-01KHY95BSPXEK6NBBMBDPNDZBR

Run Details

Duration:
22.2s
Cost:
$0.000174
Provider:
DeepInfra

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

AI
The rain hadn’t let up. It hammered against the windows of The Raven’s Nest, a relentless, grey drumming that seemed to mirror the anxiety knotting in Aurora’s stomach. She’d ordered a scotch, neat, and was nursing it slowly, watching the flickering gas lamps cast elongated shadows across the crowded bar. Silas’s place was always a little unsettling, a repository of hushed conversations and unsettlingly knowing glances. It smelled of aged wood, spilled beer, and something vaguely metallic – the ghost of a thousand secrets. Then she saw him. He was standing near the bar, nursing a whiskey, his back to her. Tall, still – a solid six-one, just like she remembered – but… different. The easy, careless confidence of Evan had been replaced with a guarded stillness. He wore a charcoal grey suit, impeccably tailored, and a silver signet ring flashed briefly as he shifted his weight. It was the ring she remembered from countless photographs, the one her father had insisted on photographing for a family album. It was Liam. Time seemed to compress, the sounds of the bar fading into a dull hum. Aurora set down her glass, the ice clinking softly against the crystal. She hadn't spoken to him in nearly seven years, not since she’d fled London with Eva, abandoning a life she hadn't truly wanted and, she now suspected, a friendship he hadn’t understood. He turned then, his hazel eyes scanning the room, lingering on her for a moment before registering recognition. A flicker of something – surprise? Regret? – crossed his face before he straightened, offering a curt nod. “Aurora,” he said, the voice deeper than she recalled, roughened by years of something she couldn’t quite guess. “Liam,” she replied, her own voice sounding flat, unfamiliar even to her. “It’s… been a while.” “Quite,” he said, pulling up a stool beside her. The movement caused a slight hitch in his left leg, a small, almost imperceptible limp that confirmed the old injury Silas had alluded to. “You look… well.” “Trying to,” she said, taking a sip of her scotch. It burned a welcome path down her throat. "You too. The suit's a bit… formal, isn't it?" He chuckled, a dry, brittle sound. “Business calls. I’ve moved on from casual Fridays.” He paused, studying her. “You haven’t changed much. Still got that bright blue stare.” It was a backhanded compliment, she realized, and she didn’t bother to hide her own flicker of defensiveness. “And you’re still devastatingly handsome, even with the grey creeping in.” The silence stretched between them, thick with unspoken history. The rain continued its insistent argument with the windows. Finally, Liam broke it. “So,” he said, gesturing vaguely at the room. “What do you do these days?” “Delivery,” she answered, the words feeling inadequate, a pale echo of her life. “Yu-Fei Cheung’s Golden Empress. It’s honest work. Keeps me busy.” He raised an eyebrow. “Delivery? Really?” “Someone’s got to get the dumplings to the people,” she said, a touch of irony in her voice. “It pays the rent.” “Evan always said you were… resourceful,” he commented, the words laced with a subtle disapproval that stung more than she’d expected. The name hung in the air, a loaded trigger. She’d deliberately avoided thinking about him, about the wreckage he’d left behind. “Evan is… a distant memory,” she said, her voice clipped. “Some memories don’t fade, Aurora,” he said quietly. “They just… get buried. Like things in a dustbin.” He had a way of looking at her, a penetrating gaze that seemed to strip away layers of pretense. She looked away, focusing on the swirling amber liquid in her glass. “I left,” she said, the words a hesitant plea for justification. “You were… difficult.” “Difficult is a polite way of putting it,” he acknowledged. “You walked away without a word. Without a goodbye.” “I had to,” she said, the irritation rising. “It wasn’t safe.” “Safe isn’t always what’s important,” he said, his voice low. “Sometimes, the bravest thing you can do is face the storm.” “I was seventeen,” she countered, the frustration bubbling over. “I didn’t know what I was doing.” “No one does at seventeen,” he agreed, his eyes holding a trace of something she couldn't quite name – sadness, perhaps, or regret. “I should have been the one to tell you. I should have… done something.” “You didn’t,” she said, the words coming out sharper than she intended. He didn’t argue. “I was… compromised,” he offered, a vague explanation that didn’t quite satisfy. “Let’s just say I had my own problems.” He took a long swallow of his whiskey. The neon green sign of The Raven’s Nest pulsed overhead, casting an eerie glow on his face. “I’ve been… busy,” he said. "Working. Some things don't get better with time, Aurora. They just… harden." She looked at him, really looked at him, and saw the lines etched around his eyes, the weariness in his posture. She saw the ghost of the boy she’d known, the one who’d shared secrets and dreams in a thousand smoky rooms. But beneath it all, there was something else – a profound sense of disillusionment, a quiet acceptance of a life lived in the shadows. "What kind of work?" she asked, the question deliberately neutral. He hesitated, then said, “Let’s just say I deal in information. Discreetly. The kind people prefer to keep hidden. I retired from MI6 a few years back. The Prague operation... it left its mark." The words hung in the air, confirming rumors she’d long dismissed as the fanciful exaggerations of late-night bar conversations. Silas had mentioned a botched operation, a shattered knee – but she’d never connected it to Liam. “Silas knows about that,” she said, a sudden chill running through her. He nodded, a grim acknowledgement. “He’s a good man, Silas. A very good man. He offered me a place here, at The Raven’s Nest. A quiet corner to observe, to listen.” He gestured around the bar, at the worn faces and hushed tones. “A place to forget.” “You haven’t forgotten,” she said, stating the obvious. “Some things… you can’t quite erase,” he admitted. “Like the feeling of rain on your face after a long silence.” He paused, then added, almost as an afterthought, “I often wondered if you were happy, Aurora. If you’d found a life that suited you.” She considered her answer carefully. The life she had was… a refuge. A simple, solitary existence that shielded her from the wreckage of the past. It wasn’t glamorous, it wasn’t exciting, but it was safe. “I’m content,” she said finally, the word a small, fragile offering. Liam studied her face, his hazel eyes searching for any hint of deception. He didn’t press her. Instead, he lifted his glass in a silent toast. “To contentment,” he said, his voice barely audible above the drumming rain. “And to the ghosts we leave behind.” She raised her own glass in return, the ice clinking softly against the crystal. The rain kept falling, washing the grime from the streets of London, and blurring the edges of their shared history. She knew, with a certainty that settled deep in her bones, that this was the last time they would see each other. And perhaps, she realized, it was for the best.
created_at"2026-02-20T19:41:53.854Z" 2/20/2026, 7:41:53 PM
model"google/gemma-3-4b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency262
moderation_latency(null)
generation_time22040
tokens_prompt892
tokens_completion1985
native_tokens_prompt850
native_tokens_completion1754
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"
usage0.00017432
router(null)
provider_responses
0
endpoint_id"d3de3bd4-81bc-48fb-924f-2a87b2a36e75"
id"chatcmpl-RceZeRDvamnIvx09dCKFpiLl"
is_byokfalse
latency125
model_permaslug"google/gemma-3-4b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771616513-seCfo1R51w7BY9anGIWG"
upstream_id"chatcmpl-RceZeRDvamnIvx09dCKFpiLl"
total_cost0.00017432
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
27.59% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags29
adverbTagCount5
adverbTags
0"he said quietly [quietly]"
1"He hesitated then [then]"
2"He gestured around [around]"
3"He paused then [then]"
4"she said finally [finally]"
dialogueSentences50
tagDensity0.58
leniency1
rawRatio0.172
effectiveRatio0.172
58.61% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1208
totalAiIsmAdverbs10
found
0
adverb"slowly"
count1
1
adverb"softly"
count2
2
adverb"truly"
count1
3
adverb"really"
count2
4
adverb"deliberately"
count2
5
adverb"very"
count1
6
adverb"carefully"
count1
highlights
0"slowly"
1"softly"
2"truly"
3"really"
4"deliberately"
5"very"
6"carefully"
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)
17.22% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1208
totalAiIsms20
found
0
word"stomach"
count1
1
word"repository"
count1
2
word"weight"
count1
3
word"crystal"
count2
4
word"scanning"
count1
5
word"flicker"
count2
6
word"silence"
count2
7
word"unspoken"
count1
8
word"echo"
count1
9
word"eyebrow"
count1
10
word"pulsed"
count1
11
word"etched"
count1
12
word"profound"
count1
13
word"sense of"
count1
14
word"shattered"
count1
15
word"chill"
count1
16
word"solitary"
count1
highlights
0"stomach"
1"repository"
2"weight"
3"crystal"
4"scanning"
5"flicker"
6"silence"
7"unspoken"
8"echo"
9"eyebrow"
10"pulsed"
11"etched"
12"profound"
13"sense of"
14"shattered"
15"chill"
16"solitary"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"hung in the air"
count2
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences82
matches(empty)
90.59% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount3
narrationSentences82
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences103
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1214
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions34
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount889
uniqueNames8
maxNameDensity0.45
worstName"Liam"
maxWindowNameDensity1
worstWindowName"Aurora"
discoveredNames
Raven2
Nest2
Aurora2
Evan1
Liam4
London2
Eva1
Silas3
persons
0"Raven"
1"Aurora"
2"Evan"
3"Liam"
4"Eva"
5"Silas"
places
0"London"
globalScore1
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount5
matches
0"drumming that seemed to mirror the anxiety knotting in Aurora’s stomach"
1"quite guess"
2"gaze that seemed to strip away layers of pretense"
3"quite name – sadness, perhaps, or regret"
4"quite satisfy"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1214
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences103
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs43
mean28.23
std18.95
cv0.671
sampleLengths
084
14
280
33
458
536
618
716
836
927
1028
1129
1222
1314
1423
156
1622
1721
1831
1917
2045
2119
2211
2321
2416
2537
2612
2723
2842
2966
3010
3134
3236
3312
3447
358
3620
3724
3835
3911
4026
4119
4265
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences82
matches
0"been replaced"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs162
matches
0"was nursing"
1"was standing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences7
totalSentences103
ratio0.068
matches
0"It smelled of aged wood, spilled beer, and something vaguely metallic – the ghost of a thousand secrets."
1"Tall, still – a solid six-one, just like she remembered – but…"
2"A flicker of something – surprise?"
3"– crossed his face before he straightened, offering a curt nod."
4"“No one does at seventeen,” he agreed, his eyes holding a trace of something she couldn't quite name – sadness, perhaps, or regret."
5"But beneath it all, there was something else – a profound sense of disillusionment, a quiet acceptance of a life lived in the shadows."
6"Silas had mentioned a botched operation, a shattered knee – but she’d never connected it to Liam."
96.08% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount883
adjectiveStacks0
stackExamples(empty)
adverbCount38
adverbRatio0.04303510758776897
lyAdverbCount19
lyAdverbRatio0.021517553793884484
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences103
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences103
mean11.79
std7.1
cv0.603
sampleLengths
05
123
222
316
418
54
613
712
81
913
1020
1121
123
1314
1412
1532
1618
176
181
1911
2018
2112
224
239
2424
253
2610
278
289
296
3012
3110
3218
3311
349
359
364
378
386
3913
4010
414
422
4318
444
4521
469
4712
4810
498
56.31% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3786407766990291
totalSentences103
uniqueOpeners39
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences76
matches
0"Then she saw him."
1"Finally, Liam broke it."
2"Instead, he lifted his glass"
ratio0.039
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount52
totalSentences76
matches
0"It hammered against the windows"
1"She’d ordered a scotch, neat,"
2"It smelled of aged wood,"
3"He was standing near the"
4"He wore a charcoal grey"
5"It was the ring she"
6"It was Liam."
7"She hadn't spoken to him"
8"He turned then, his hazel"
9"he said, the voice deeper"
10"she replied, her own voice"
11"he said, pulling up a"
12"she said, taking a sip"
13"It burned a welcome path"
14"He chuckled, a dry, brittle"
15"He paused, studying her"
16"It was a backhanded compliment,"
17"he said, gesturing vaguely at"
18"she answered, the words feeling"
19"He raised an eyebrow."
ratio0.684
6.05% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount69
totalSentences76
matches
0"The rain hadn’t let up."
1"It hammered against the windows"
2"She’d ordered a scotch, neat,"
3"Silas’s place was always a"
4"It smelled of aged wood,"
5"He was standing near the"
6"The easy, careless confidence of"
7"He wore a charcoal grey"
8"It was the ring she"
9"It was Liam."
10"Time seemed to compress, the"
11"Aurora set down her glass,"
12"She hadn't spoken to him"
13"He turned then, his hazel"
14"A flicker of something –"
15"he said, the voice deeper"
16"she replied, her own voice"
17"he said, pulling up a"
18"The movement caused a slight"
19"she said, taking a sip"
ratio0.908
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences76
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences31
technicalSentenceCount1
matches
0"It hammered against the windows of The Raven’s Nest, a relentless, grey drumming that seemed to mirror the anxiety knotting in Aurora’s stomach."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags29
uselessAdditionCount11
matches
0"she replied, her own voice sounding flat, unfamiliar even to her"
1"she answered, the words feeling inadequate, a pale echo of her life"
2"she said, a touch of irony in her voice"
3"she said, her voice clipped"
4"she said, the irritation rising"
5"he said, his voice low"
6"she countered, the frustration bubbling over"
7"she said, the words coming out sharper than she intended"
8"she asked, the question deliberately neutral"
9"she said, a sudden chill running through her"
10"he said, his voice barely audible above the drumming rain"
70.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags23
fancyCount4
fancyTags
0"he commented (comment)"
1"he acknowledged (acknowledge)"
2"he agreed (agree)"
3"he admitted (admit)"
dialogueSentences50
tagDensity0.46
leniency0.92
rawRatio0.174
effectiveRatio0.16
69.6372%