Run: 2026-02-20-01KHY7VDX993Z64W4KVMQ5C584

Run Details

Duration:
17.6s
Cost:
$0.000160
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 hammered against the windows of The Raven’s Nest, a steady, insistent drumming that mirrored the unsettled feeling in Aurora’s chest. She’d been nursing a lukewarm pint of bitter, sketching furiously in a small notebook – a habit she hadn’t shaken, even after fleeing Cardiff and landing a soul-crushing job delivering Chinese takeout. The air hung thick with the smell of damp wool, stale beer, and something vaguely medicinal, a scent that clung to Silas Blackwood like a second skin. Silas was behind the bar, polishing a glass with slow, deliberate movements. He wasn’t smiling, hadn’t smiled, really, in the years she’d known him. His grey-streaked auburn hair was pulled back tighter than usual, revealing the sharp angles of his face, the slight limp that betrayed a past she vaguely recalled involving Prague and something significantly less glamorous than a holiday. He looked older, undeniably so, the lines around his hazel eyes deepened, etched by something that wasn’t just time. Then he looked up, and recognition flickered in his gaze, a brief spark of something that might have been joy, quickly masked by a practiced neutrality. “Rory,” he said, his voice a low rumble, gravelly from years of cigarettes and secrets. “Didn’t think I’d see you back in Soho.” She lowered her notebook, the charcoal smudging slightly on the page. “Silas,” she replied, the greeting clipped, almost hesitant. It had been… a long time. Too long. Five years, to be exact. Five years since she’d fled London with Eva, leaving a broken man named Evan and a future she’d already decided wasn’t for her. “You look… good,” he said, a flicker of genuine curiosity in his eyes. It wasn’t a compliment, not really, more an assessment. “Trying,” she said, taking a swallow of her beer. “Delivery work keeps me busy.” The lie tasted bitter on her tongue. It wasn’t just delivery work. It was a buffer, a shield against the sharp edges of her life, a way to avoid having to confront the ghosts she’d left behind. He watched her for a moment, his gaze unnervingly perceptive. “Eva sends her regards,” he stated, simply. “Said she’d be pleased to see you.” The words hung in the air, a fragile, awkward bridge across the years. Eva. The thought of him, of *them*, was a dull ache in her chest, a reminder of the easy laughter and shared dreams that had evaporated like smoke. “She’s doing well,” she managed, the voice thin. “Traveling. Keeps busy.” “Always did,” Silas observed, returning to his polishing. "A restless spirit.” The rain intensified, the neon sign of The Raven’s Nest flickering intermittently, casting an unsettling green glow across the room. The bar was sparsely populated – a couple huddled in a booth nursing whiskey, a solitary figure at the far end lost in a paperback. The atmosphere was deliberately muted, a sanctuary from the relentless pulse of London. “You’ve changed,” Aurora said, stating the obvious. It wasn’t meant to be unkind, just an observation, a hesitant attempt to make sense of the man before her. Silas’ hand paused on the glass. He turned, his eyes considering her for a long moment. “So have you,” he said quietly. “You’ve become… contained.” She bristled slightly at the word ‘contained,’ but couldn't deny its truth. The girl who’d left Cardiff had been reckless, impulsive, a whirlwind of tangled hair and defiant stares. Now, she was... careful. She’d learned to build walls, to deflect attention, to bury the sharp edges of her emotions beneath a veneer of practicality. “Life happens,” she offered, the words sounding hollow even to her own ears. “It does,” Silas agreed, his tone measured. “It tends to do that.” He gestured to the hidden back room, visible through a slightly ajar bookshelf. “I've had a few… interesting clients come through here over the years. People with regrets.” The reference to his past, to the clandestine meetings and shadowy deals conducted behind the bar, felt strangely appropriate. A shared understanding, unspoken, passed between them. She’d once been driven by a naïve idealism, a desire to fight for what was right. Now, she mostly just delivered food to people she didn't know, trying to avoid getting involved. “What brought you back?” she asked, the question feeling inadequate, a paltry attempt to probe the depths of his transformation. He took a long sip of his whiskey, his gaze fixed on the rain-streaked windows. “A case,” he said finally, his voice deliberately vague. “A rather persistent one. Involves a former operative. Someone who made a few… mistakes.” “Sounds familiar,” she said, a wry smile touching her lips. It was a sad irony, a recognition of their shared burdens. He was a man haunted by the echoes of his past, just as she was. "I don’t do mistakes, Rory. Just consequences," he said, the words delivered with a chilling precision. The silence stretched between them, punctuated only by the drumming rain and the low murmur of conversation in the bar. She looked at him, really looked at him, and saw the weariness in his eyes, the subtle signs of the injuries he’d carried for so long. He wasn’t a hardened spy anymore, not really. Just a man who’d seen too much, done too much, and was trying to find a semblance of peace in a dimly lit bar in Soho. “Evan,” she said, the name a ghost on her tongue. “Have you… have you heard from him?” Silas’ expression darkened, a flicker of something akin to pain crossing his features. “Don’t,” he said, his voice low. “Just… don’t.” She understood. The past was a locked room, and some doors were best left unopened. “I should go,” she said, pushing herself to her feet. “Wait,” he said, his hand briefly closing on her arm. The contact was fleeting, almost gentle, yet it sent a jolt through her. “There’s a… a message for you. From Eva.” He produced a small, sealed envelope from beneath the bar. Inside, a single card bearing Eva's handwriting. She took it, her fingers trembling slightly. The words on the card were simple, heartfelt: *“Thinking of you. Please be well.”* As she turned to leave, Silas spoke again, his voice barely audible above the rain. “Don't bury yourself too deep, Rory. It’s a lonely place to be." She nodded, a single, silent acknowledgment. As she stepped out into the pouring rain, she glanced back at Silas, standing behind the bar, a solitary figure in the green-lit gloom of The Raven’s Nest. He didn’t offer a smile, didn’t attempt to engage. He simply watched her go, a quiet, watchful presence in a world filled with shadows and unspoken regrets. The rain washed over her, cold and relentless, a fitting accompaniment to the weight of the past she couldn’t escape.
created_at"2026-02-20T19:18:59.766Z" 2/20/2026, 7:18:59 PM
model"google/gemma-3-4b-it"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency187
moderation_latency(null)
generation_time17367
tokens_prompt892
tokens_completion1801
native_tokens_prompt850
native_tokens_completion1569
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"
usage0.00015952
router(null)
provider_responses
0
endpoint_id"d3de3bd4-81bc-48fb-924f-2a87b2a36e75"
id"chatcmpl-Rh9RymsSyOWyTe4FXxLEpDEG"
is_byokfalse
latency62
model_permaslug"google/gemma-3-4b-it"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771615139-iWETh3xhfGAQ3rbDpFEx"
upstream_id"chatcmpl-Rh9RymsSyOWyTe4FXxLEpDEG"
total_cost0.00015952
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
63.64% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags22
adverbTagCount3
adverbTags
0"he said quietly [quietly]"
1"She bristled slightly [slightly]"
2"he said finally [finally]"
dialogueSentences33
tagDensity0.667
leniency1
rawRatio0.136
effectiveRatio0.136
51.41% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1132
totalAiIsmAdverbs11
found
0
adverb"really"
count4
1
adverb"quickly"
count1
2
adverb"slightly"
count4
3
adverb"deliberately"
count2
highlights
0"really"
1"quickly"
2"slightly"
3"deliberately"
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1132
totalAiIsms24
found
0
word"unsettled"
count1
1
word"etched"
count1
2
word"flickered"
count1
3
word"flicker"
count2
4
word"reminder"
count1
5
word"solitary"
count2
6
word"sanctuary"
count1
7
word"pulse"
count1
8
word"sense of"
count1
9
word"measured"
count1
10
word"clandestine"
count1
11
word"unspoken"
count2
12
word"desire"
count1
13
word"depths"
count1
14
word"familiar"
count1
15
word"echoes"
count1
16
word"chilling"
count1
17
word"silence"
count1
18
word"fleeting"
count1
19
word"gloom"
count1
20
word"weight"
count1
highlights
0"unsettled"
1"etched"
2"flickered"
3"flicker"
4"reminder"
5"solitary"
6"sanctuary"
7"pulse"
8"sense of"
9"measured"
10"clandestine"
11"unspoken"
12"desire"
13"depths"
14"familiar"
15"echoes"
16"chilling"
17"silence"
18"fleeting"
19"gloom"
20"weight"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"hung in the air"
count1
1
label"sent a shiver through"
count1
highlights
0"hung in the air"
1"sent a jolt through"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences76
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences76
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences89
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen38
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords7
totalWords1130
ratio0.006
matches
0"them"
1"“Thinking of you. Please be well.”"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions20
unquotedAttributions1
matches
0"As she turned to leave, Silas spoke again, his voice barely audible above the rain."
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount962
uniqueNames12
maxNameDensity0.62
worstName"Silas"
maxWindowNameDensity1
worstWindowName"Silas"
discoveredNames
Raven3
Nest3
Aurora2
Cardiff2
Chinese1
Silas6
Blackwood1
Prague1
London2
Eva3
Evan1
Soho1
persons
0"Raven"
1"Nest"
2"Aurora"
3"Silas"
4"Blackwood"
5"Eva"
6"Evan"
places
0"Cardiff"
1"Prague"
2"London"
3"Soho"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1130
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences89
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean40.36
std21.45
cv0.531
sampleLengths
081
180
249
355
422
551
624
752
811
958
1027
1125
1254
1313
1440
1558
1620
1738
1836
1916
2080
2117
2221
2325
2431
2538
2627
2781
96.03% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences76
matches
0"was pulled"
1"been driven"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs153
matches
0"was trying"
1"was fleeting"
78.65% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences89
ratio0.022
matches
0"She’d been nursing a lukewarm pint of bitter, sketching furiously in a small notebook – a habit she hadn’t shaken, even after fleeing Cardiff and landing a soul-crushing job delivering Chinese takeout."
1"The bar was sparsely populated – a couple huddled in a booth nursing whiskey, a solitary figure at the far end lost in a paperback."
78.63% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount530
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.05471698113207547
lyAdverbCount16
lyAdverbRatio0.03018867924528302
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences89
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences89
mean12.7
std7.62
cv0.6
sampleLengths
022
132
227
312
412
537
619
726
815
98
1011
118
123
133
142
155
1623
1713
189
199
2012
215
2225
2310
247
257
2613
271
2827
298
303
318
323
3320
3425
3513
367
3720
386
3910
406
413
4212
4317
443
451
4621
4713
487
4918
55.81% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.38202247191011235
totalSentences89
uniqueOpeners34
92.59% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences72
matches
0"Then he looked up, and"
1"Just a man who’d seen"
ratio0.028
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount42
totalSentences72
matches
0"She’d been nursing a lukewarm"
1"He wasn’t smiling, hadn’t smiled,"
2"His grey-streaked auburn hair was"
3"He looked older, undeniably so,"
4"he said, his voice a"
5"She lowered her notebook, the"
6"she replied, the greeting clipped,"
7"It had been…"
8"he said, a flicker of"
9"It wasn’t a compliment, not"
10"she said, taking a swallow"
11"It wasn’t just delivery work."
12"It was a buffer, a"
13"He watched her for a"
14"he stated, simply"
15"she managed, the voice thin"
16"It wasn’t meant to be"
17"He turned, his eyes considering"
18"he said quietly"
19"She bristled slightly at the"
ratio0.583
22.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount63
totalSentences72
matches
0"The rain hammered against the"
1"She’d been nursing a lukewarm"
2"The air hung thick with"
3"Silas was behind the bar,"
4"He wasn’t smiling, hadn’t smiled,"
5"His grey-streaked auburn hair was"
6"He looked older, undeniably so,"
7"he said, his voice a"
8"She lowered her notebook, the"
9"she replied, the greeting clipped,"
10"It had been…"
11"a long time."
12"he said, a flicker of"
13"It wasn’t a compliment, not"
14"she said, taking a swallow"
15"The lie tasted bitter on"
16"It wasn’t just delivery work."
17"It was a buffer, a"
18"He watched her for a"
19"he stated, simply"
ratio0.875
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences72
matches
0"Now, she was..."
1"Now, she mostly just delivered"
ratio0.028
7.72% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences37
technicalSentenceCount7
matches
0"The rain hammered against the windows of The Raven’s Nest, a steady, insistent drumming that mirrored the unsettled feeling in Aurora’s chest."
1"The air hung thick with the smell of damp wool, stale beer, and something vaguely medicinal, a scent that clung to Silas Blackwood like a second skin."
2"Then he looked up, and recognition flickered in his gaze, a brief spark of something that might have been joy, quickly masked by a practiced neutrality."
3"The thought of him, of *them*, was a dull ache in her chest, a reminder of the easy laughter and shared dreams that had evaporated like smoke."
4"The rain intensified, the neon sign of The Raven’s Nest flickering intermittently, casting an unsettling green glow across the room."
5"The girl who’d left Cardiff had been reckless, impulsive, a whirlwind of tangled hair and defiant stares."
6"Just a man who’d seen too much, done too much, and was trying to find a semblance of peace in a dimly lit bar in Soho."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags22
uselessAdditionCount11
matches
0"she replied, the greeting clipped, almost hesitant"
1"he said, a flicker of genuine curiosity in his eyes"
2"he stated, simply"
3"she offered, the words sounding hollow even to her own ears"
4"Silas agreed, his tone measured"
5"he said finally, his voice deliberately vague"
6"she said, a wry smile touching her lips"
7"he said, the words delivered with a chilling precision"
8"she said, the name a ghost on her tongue"
9"he said, his voice low"
10"he said, his hand briefly closing on her arm"
61.76% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags17
fancyCount3
fancyTags
0"he stated (state)"
1"Silas observed (observe)"
2"Silas agreed (agree)"
dialogueSentences33
tagDensity0.515
leniency1
rawRatio0.176
effectiveRatio0.176
75.8471%