Run: 2026-02-20-01KHY95N5W5FVQQ14EDZSWQVG5

Run Details

Duration:
20.1s
Cost:
$0.000162
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 in Soho was a greasy, insistent thing, clinging to the slick cobblestones and reflecting the neon glow of the sign above Silas’ bar – a defiant green raven against the bruised twilight. Aurora, clutching a lukewarm beer, watched it fall, the rhythm a dull echo of the one in her own chest. She’d been nursing this drink for nearly an hour, a futile attempt to ward off the chill that had nothing to do with the weather. She’d come to The Raven’s Nest on a whim, a desperate need to be somewhere that smelled of old wood and whiskey, a place that didn’t pulse with the sterile energy of her deliveries. Then he walked in. The door swung inward with a groan, a little puff of rain and a silhouette framed against the grey. It was Silas Blackwood. Not the Silas she remembered from university, the one with the perpetually rumpled corduroy jacket and the infuriatingly calm demeanor. This Silas was… different. He moved with a slight limp, a subtle hitch in his stride that spoke of old injuries and a life lived just a little too close to the edge. His grey-streaked auburn hair was neatly trimmed, the grey a denser, more pronounced shade than she recalled, and his face, weathered and etched with lines that hadn’t been there before, held a quiet intensity. He wore a dark, impeccably tailored coat that suggested a world away from the mismatched sweaters and jeans of their past. He scanned the bar, a slow, deliberate sweep, before his eyes landed on her. A flicker of something – recognition? – crossed his face. He paused, then moved towards her, the limp a persistent, almost mournful beat. “Aurora?” he asked, his voice a low rumble, edged with a gravelly quality she hadn't anticipated. She straightened, setting down her beer with a thud. “Silas. Wow. I… I didn't expect to see you here.” It felt clumsy, inadequate, like trying to describe the vastness of the ocean with a single pebble. He slid onto the stool beside her, the movement fluid despite the limp. “Neither did I,” he admitted, his hazel eyes, the same shade she remembered, holding a depth she couldn’t quite decipher. “It’s been… a while.” “Fifteen years,” she said, the words hanging in the damp air. Fifteen years since they’d shared a pint at a dive in Cardiff, fifteen years since she’d last seen the flicker of genuine amusement in his eyes. “You look… different.” He gave a short, humorless laugh. “So do you. Less… frantic.” He gestured vaguely at her worn delivery uniform, a shadow of a smile touching his lips. “Life’s been busy,” she replied, a defensive edge creeping into her voice. “Delivery work doesn’t exactly lend itself to leisurely evenings.” “I imagine not,” he said, his gaze drifting to the rain-streaked windows. “I’ve been busy too, in my own way.” He tapped the silver signet ring on his right hand, a simple, elegant piece that looked out of place in the rough-hewn bar. “Mostly keeping ghosts at bay.” The words hung heavy between them, unspoken anxieties swirling in the dim light. She knew, without him needing to elaborate, that 'ghosts' weren't just metaphorical. She’d heard snippets, rumors whispered in the darker corners of London’s underworld – whispers of a retired MI6 agent running a bar, handling discreet requests, cultivating a network of contacts. “Eva told me you opened a bar,” she said, stating the obvious. “The Raven’s Nest,” he confirmed. “A front, mostly. A place to observe, to listen. And to serve a decent whiskey.” He paused, then added, almost to himself, “It’s not quite the same as Prague.” The mention of Prague – a place she knew little about but instinctively grasped was the source of his pain – felt like a crack in the carefully constructed facade of their conversation. She took a sip of her beer, the cold liquid doing little to soothe the sudden tightness in her chest. “I didn’t know about…” she began, then trailed off, unable to articulate the unspoken questions that clawed at her. “About what happened.” He looked at her then, his gaze direct and unsettlingly perceptive. "Some things are best left buried, Aurora. And some memories… they cling like the rain.” There was a sadness in his eyes that cut through her carefully cultivated indifference. She knew, instinctively, that he wasn’t just referring to Prague. He was talking about everything. About the botched operation, the lost colleagues, the weight of secrets and regret. “I left,” she said, the words coming out sharper than she intended. “I left Evan. I left Cardiff. I didn’t want to be tied down.” “And you found a way to be tied down, didn’t you?” he countered, his voice low and laced with a hint of accusation. “Wrapped yourself up in deliveries, in anonymity. Running from something.” She flinched. He always had a way of seeing through her carefully constructed defenses. “It was a fresh start,” she mumbled. “A temporary reprieve,” he corrected gently. “Running doesn't erase the past, Aurora. It simply postpones the reckoning.” He signaled to the bartender for another whiskey. "This is a good one. Glenfiddich 18. You want one?" "No, thank you.” She watched him take a slow, deliberate sip, his eyes never leaving her. "What are you doing here, Silas? After all this time?” "Checking in," he said finally, placing the glass back on the counter. "To see if the girl who used to argue with me about philosophy was still… breathing. I’ve missed you, Aurora. Not the girl who fled, but the one I knew.” A sharp, unexpected pang shot through her. She hadn't realized how much she had missed him, how much she'd actively pushed him away. The years hadn’t erased the shared laughter, the late-night debates, the comfortable silence they’d once shared. They’d simply become ghosts of their own making. “It’s… complicated,” she said, the familiar excuse feeling hollow even to her own ears. "I have a life now. A routine.” “A carefully constructed cage,” he observed, his voice dry. "And what do you tell yourself it’s for?" She looked away, out at the relentless rain. “Protection,” she whispered. “From… everything.” The tiny crescent-shaped scar on her wrist, a memento of a childhood accident, seemed to pulse with a sudden, painful awareness. Silas was silent for a moment, studying her. Then, he said, quietly, “You’re still running, Aurora. Just to a different destination.” The rain intensified, drumming against the windows of The Raven’s Nest. The scent of whiskey and old wood mingled with the dampness, creating a claustrophobic atmosphere. She looked at Silas, at the lines etched on his face, at the quiet devastation that lingered in his eyes, and realized he wasn’t just a retired spy. He was a witness. A keeper of secrets. And perhaps, just perhaps, he was offering her a reluctant invitation to finally face the ghosts she’d been so desperately trying to outrun.
created_at"2026-02-20T19:42:03.466Z" 2/20/2026, 7:42:03 PM
model"google/gemma-3-4b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency183
moderation_latency(null)
generation_time19890
tokens_prompt892
tokens_completion1842
native_tokens_prompt850
native_tokens_completion1605
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"
usage0.0001624
router(null)
provider_responses
0
endpoint_id"d3de3bd4-81bc-48fb-924f-2a87b2a36e75"
id"chatcmpl-RffM4iyGgowlzJVN8mFg0IKb"
is_byokfalse
latency62
model_permaslug"google/gemma-3-4b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771616523-uEDBp3OhGKNM7FTvLklz"
upstream_id"chatcmpl-RffM4iyGgowlzJVN8mFg0IKb"
total_cost0.0001624
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags26
adverbTagCount6
adverbTags
0"He gestured vaguely [vaguely]"
1"He paused then [then]"
2"she began then [then]"
3"he corrected gently [gently]"
4"he said finally [finally]"
5"he said quietly [quietly]"
dialogueSentences37
tagDensity0.703
leniency1
rawRatio0.231
effectiveRatio0.231
78.45% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1160
totalAiIsmAdverbs5
found
0
adverb"carefully"
count4
1
adverb"gently"
count1
highlights
0"carefully"
1"gently"
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)
9.48% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1160
totalAiIsms21
found
0
word"echo"
count1
1
word"chill"
count1
2
word"pulse"
count2
3
word"etched"
count2
4
word"intensity"
count1
5
word"scanned"
count1
6
word"flicker"
count2
7
word"unspoken"
count2
8
word"constructed"
count3
9
word"facade"
count1
10
word"weight"
count1
11
word"pang"
count1
12
word"comfortable"
count1
13
word"silence"
count1
14
word"familiar"
count1
highlights
0"echo"
1"chill"
2"pulse"
3"etched"
4"intensity"
5"scanned"
6"flicker"
7"unspoken"
8"constructed"
9"facade"
10"weight"
11"pang"
12"comfortable"
13"silence"
14"familiar"
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
narrationSentences69
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences69
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences82
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1161
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions22
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions17
wordCount893
uniqueNames10
maxNameDensity0.56
worstName"Silas"
maxWindowNameDensity1.5
worstWindowName"Silas"
discoveredNames
Soho1
Aurora1
Raven2
Nest2
Silas5
Blackwood1
Fifteen1
Cardiff1
London1
Prague2
persons
0"Aurora"
1"Raven"
2"Silas"
3"Blackwood"
places
0"Soho"
1"Cardiff"
2"London"
3"Prague"
globalScore1
windowScore1
55.66% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount2
matches
0"quite decipher"
1"felt like a crack in the carefully cons"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.861
wordCount1161
matches
0"Not the girl who fled, but the one I knew"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences82
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean38.7
std27.09
cv0.7
sampleLengths
0113
14
2131
337
416
536
637
740
827
921
1048
1155
1212
1334
1453
1522
1626
1742
1825
1933
2021
2135
2226
2342
2447
2521
2617
2734
2821
2985
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences69
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs141
matches
0"was talking"
1"was offering"
3.48% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences82
ratio0.049
matches
0"A flicker of something – recognition?"
1"– crossed his face."
2"She’d heard snippets, rumors whispered in the darker corners of London’s underworld – whispers of a retired MI6 agent running a bar, handling discreet requests, cultivating a network of contacts."
3"The mention of Prague – a place she knew little about but instinctively grasped was the source of his pain – felt like a crack in the carefully constructed facade of their conversation."
92.35% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount203
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.04433497536945813
lyAdverbCount5
lyAdverbRatio0.024630541871921183
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences82
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences82
mean14.16
std8.79
cv0.621
sampleLengths
034
120
225
334
44
519
64
720
83
91
1029
1134
1221
1314
146
154
1613
1716
189
1927
2013
2120
224
2311
2426
253
266
2721
2812
299
3012
3131
325
3313
3412
3530
3612
375
3829
3933
4020
4119
423
4311
4415
4514
4610
475
4813
4912
62.60% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4268292682926829
totalSentences82
uniqueOpeners35
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences64
matches
0"Then he walked in."
1"Then, he said, quietly,"
ratio0.031
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount42
totalSentences64
matches
0"She’d been nursing this drink"
1"She’d come to The Raven’s"
2"It was Silas Blackwood."
3"He moved with a slight"
4"His grey-streaked auburn hair was"
5"He wore a dark, impeccably"
6"He scanned the bar, a"
7"He paused, then moved towards"
8"he asked, his voice a"
9"She straightened, setting down her"
10"It felt clumsy, inadequate, like"
11"He slid onto the stool"
12"he admitted, his hazel eyes,"
13"she said, the words hanging"
14"He gave a short, humorless"
15"He gestured vaguely at her"
16"she replied, a defensive edge"
17"he said, his gaze drifting"
18"He tapped the silver signet"
19"She knew, without him needing"
ratio0.656
22.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount56
totalSentences64
matches
0"The rain in Soho was"
1"Aurora, clutching a lukewarm beer,"
2"She’d been nursing this drink"
3"She’d come to The Raven’s"
4"The door swung inward with"
5"It was Silas Blackwood."
6"This Silas was…"
7"He moved with a slight"
8"His grey-streaked auburn hair was"
9"He wore a dark, impeccably"
10"He scanned the bar, a"
11"A flicker of something –"
12"He paused, then moved towards"
13"he asked, his voice a"
14"She straightened, setting down her"
15"It felt clumsy, inadequate, like"
16"He slid onto the stool"
17"he admitted, his hazel eyes,"
18"she said, the words hanging"
19"He gave a short, humorless"
ratio0.875
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences64
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences27
technicalSentenceCount3
matches
0"She’d come to The Raven’s Nest on a whim, a desperate need to be somewhere that smelled of old wood and whiskey, a place that didn’t pulse with the sterile ener…"
1"He moved with a slight limp, a subtle hitch in his stride that spoke of old injuries and a life lived just a little too close to the edge."
2"His grey-streaked auburn hair was neatly trimmed, the grey a denser, more pronounced shade than she recalled, and his face, weathered and etched with lines that…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags26
uselessAdditionCount7
matches
0"she said, the words hanging in the damp air"
1"He gestured vaguely, a shadow of a smile touching his lips"
2"she replied, a defensive edge creeping into her voice"
3"he said, his gaze drifting to the rain-streaked windows"
4"she said, the words coming out sharper than she intended"
5"he countered, his voice low and laced with a hint of accusation"
6"he observed, his voice dry"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags15
fancyCount6
fancyTags
0"he admitted (admit)"
1"he confirmed (confirm)"
2"she mumbled (mumble)"
3"he corrected gently (correct)"
4"he observed (observe)"
5"she whispered (whisper)"
dialogueSentences37
tagDensity0.405
leniency0.811
rawRatio0.4
effectiveRatio0.324
69.6006%