Run: 2026-03-11-01KKFJAHZ08FP6FR0RE3C4CKR7

Run Details

Duration:
47.2s
Cost:
$0.000000
Provider:
Stealth

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <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> Continue the story using the following instructions: <instructions> 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. </instructions>

Model response

AI
The green neon sign of The Raven’s Nest bled onto the damp pavement of the Soho alley, a sickly glow that didn’t so much illuminate as stain the darkness. Inside, the air was thick with the smell of old wood, lemon oil, and the faint, sweet ghost of cigar smoke. It clung to the walls, to the black-and-white photographs of forgotten spies and smiling strangers, to the old maps with their faded coastlines. Aurora Carter nursed a glass of something amber, the ice long melted. She wasn’t here for the drink. She was here because the flat upstairs felt like a coffin tonight, the silence pressing in, filled with the ghost of Evan’s voice and the more recent, sharper echo of her father’s disapproval on the phone. Cardiff felt a lifetime away, yet its weight sat squarely on her shoulders. The door creaked open, letting in a slice of wet streetlight. A man stepped through, shaking rain from a dark coat. He moved with a particular economy of motion, a slight favoring of his left leg that Aurora knew like her own heartbeat. Silas Blackwood paused at the bar, his hazel eyes scanning the room in a sweep that missed nothing. They landed on her, and for a moment, his expression held a flicker of professional assessment before softening into something else. Recognition. Weariness. He came over, his limp more pronounced as he navigated between the stools. He settled onto the one beside her, placing his hands flat on the worn bar top. The silver signet ring on his right hand caught the low light. “Laila,” he said. The old alias, a ghost of a name from a life she’d barely touched. “Silas.” She didn’t look at him. She watched her finger trace a ring of condensation on the wood. “Yu-Fei said you took the Henderson delivery yourself. In this downpour.” It wasn’t a question. His network was absolute. “He needed it done. I needed the air.” “You needed to run from something.” He flagged down his own bartender with a two-fingered gesture. “The usual, Tom.” He turned back to her. “Your father called here, looking for you. Said your mobile was off.” Aurora’s jaw tightened. “He has a talent for finding the cracks.” “He’s worried. The barrister in him reads danger into every silence.” Silas accepted his glass—a smoky Scotch, neat. He didn’t drink. “Are you in danger?” “I’m in a bar.” She finally looked at him. The grey streaks in his auburn hair had spread since she’d first met him, six months ago, when she’d stumbled into his orbit, a stray cat with wide, frightened eyes. He’d given her the flat, the delivery job, a sense of perimeter. But he hadn’t given her a cure for the hollowing-out she felt inside. “Aren’t we always?” He took a slow sip, his gaze distant, fixed on a photograph across the room—a group of young men in Cold War-era suits, all smiles and bravado. “I knew a man in Prague. Went by ‘The Conductor.’ He believed every person was an instrument. You just had to find the right pressure point to make them play your tune.” “Is this a metaphor, or are you reciting your memoirs?” “It’s a warning.” His eyes, sharp as flint, cut back to her. “You think you’re running the routes, but you’re just tracing the same lines on the map. Cardiff, London. Evan, your father. You move the pieces, but the board is the same.” The words landed like stones in a quiet pond. She set her glass down harder than she meant to. “You don’t know the board.” “I know the look. I’ve seen it in interrogations, in safe houses, in the mirror.” He gestured with his glass toward the hidden bookshelf, the one that led to his real office. “The back room is full of maps of places that don’t exist anymore. People who don’t exist anymore. You’re cataloging a life that’s already gone.” “What’s your point, Silas?” “My point,” he said, leaning closer, his voice dropping to the low rumble that commanded attention in crowded rooms, “is that the most effective prisons are the ones we build from our own memories. We think we’re fortifying ourselves, but we’re just laying the stones higher.” She thought of her pre-law textbooks, the heavy volumes of case law. She thought of Evan’s smiling face, the way it could twist in a second. She thought of the scar on her wrist, a pale crescent moon from a childhood fall, a time when hurt was simple and physical. “And what’s your prison made of, Silas? Old maps and other people’s secrets?” The question hung in the air, sharper than she’d intended. His hand, the one with the ring, tightened on his glass. The knuckles went white. For a second, the quiet authority he wore like a coat slipped, and she saw the man underneath—the field agent who’d come home from Prague with a ruined knee and, she suspected, a ruin far deeper. “A promise,” he said, so quietly she almost didn’t hear it over the hum of the bar. “A promise I made to a man who died in a ditch in Žižkov because I trusted the wrong instrument. My prison is a perfectly maintained bar in Soho, and the absolute certainty that I will never let my judgment fail someone I care about again.” The confession, stark and unadorned, left her breathless. This was the weight he carried, the thing that made his gaze sometimes go distant and hard. It wasn’t just a story; it was the foundational rock of his existence. He had carved his regret into a monument and lived inside it. “Caring isn’t a failure of judgment,” she said, the words feeling thin and inadequate. “It is when it clouds your read of the situation.” He finally drank, a long swallow that seemed to burn. “You’re clouded, Rory. You’re looking at the world through the smudged lens of what’s been done to you. And you’re afraid to wipe it clean because you think you’ll see nothing at all.” “What if there is nothing?” The question slipped out, raw and real. Silas turned on his stool to face her fully. The slight limp forced one knee to jut out at an angle. “Then you build something. You don’t just defend the ruins.” He reached out, not touching her, but his hand hovered near the crescent scar on her wrist, a deliberate, knowing gesture. “This is a fortress wall. You can keep living inside it, or you can use the stones to build a bridge. But you can’t do both.” The bartender, Tom, drifted over, polishing a glass with a slow, circular motion. “Another for the lady, Mr. Blackwood?” Aurora looked from the scar, to Silas’s steady, demanding eyes, to the glass in her own hand. The amber liquid was still, reflecting the dim light of the bar, a tiny, trapped world. She pushed the glass away. The soft scrape of glass on wood was the only sound in their small orbit. “No,” she said. “Thank you.” She didn’t look at Silas. She looked at the map on the wall behind the bar, a nautical chart of the Bristol Channel, its coastlines familiar, its depths charted but unknown. “Not tonight.” Silas nodded, a single, slow dip of his chin. He didn’t smile. He didn’t offer a platitude. He just lifted his own glass in a silent toast to the empty space in front of her, acknowledging a choice made, not an ending reached. The weight in the room hadn’t vanished, but its shape had changed. It was no longer a shroud. It was something else. Something with edges she could, perhaps, begin to hold.
created_at"2026-03-11T23:04:48.364Z" 3/11/2026, 11:04:48 PM
model"openrouter/hunter-alpha"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3967
moderation_latency(null)
generation_time47108
tokens_prompt1094
tokens_completion2640
native_tokens_prompt1010
native_tokens_completion2275
native_tokens_completion_images(null)
native_tokens_reasoning701
native_tokens_cached960
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
router(null)
provider_responses(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773270288-xm0W0NaQCLb8EfEXs9Ba"
upstream_id"gen-1773270288-xm0W0NaQCLb8EfEXs9Ba"
total_cost0
cache_discount(null)
upstream_inference_cost0
provider_name"Stealth"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount1
adverbTags
0"He turned back [back]"
dialogueSentences34
tagDensity0.412
leniency0.824
rawRatio0.071
effectiveRatio0.059
96.12% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1290
totalAiIsmAdverbs1
found
0
adverb"perfectly"
count1
highlights
0"perfectly"
80.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found
0"Henderson"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
45.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1290
totalAiIsms14
found
0
word"silence"
count2
1
word"echo"
count1
2
word"weight"
count3
3
word"scanning"
count1
4
word"flicker"
count1
5
word"navigated"
count1
6
word"sense of"
count1
7
word"tracing"
count1
8
word"stark"
count1
9
word"familiar"
count1
10
word"depths"
count1
highlights
0"silence"
1"echo"
2"weight"
3"scanning"
4"flicker"
5"navigated"
6"sense of"
7"tracing"
8"stark"
9"familiar"
10"depths"
33.33% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches3
maxInWindow3
found
0
label"knuckles turned white"
count1
1
label"air was thick with"
count1
2
label"hung in the air"
count1
highlights
0"knuckles went white"
1"the air was thick with"
2"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences72
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences72
filterMatches(empty)
hedgeMatches
0"seemed to"
1"begin to"
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
maxSentenceWordsSeen46
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1287
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount899
uniqueNames15
maxNameDensity0.67
worstName"Silas"
maxWindowNameDensity2
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Soho1
Carter1
Evan2
Aurora4
Blackwood1
Scotch1
Cold1
War-era1
Prague1
Silas6
Tom1
Bristol1
Channel1
persons
0"Raven"
1"Nest"
2"Carter"
3"Evan"
4"Aurora"
5"Blackwood"
6"War-era"
7"Silas"
8"Tom"
places
0"Soho"
1"Cold"
2"Prague"
3"Bristol"
globalScore1
windowScore1
59.09% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount2
matches
0"felt like a coffin tonight, the silence"
1"swallow that seemed to burn"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.777
wordCount1287
matches
0"not touching her, but his hand hovered near the crescent scar on her wrist, a deli"
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
totalParagraphs32
mean40.22
std23.66
cv0.588
sampleLengths
073
167
284
341
417
518
619
78
836
911
1025
1167
1259
1310
1443
1524
1657
174
1846
1963
2061
2163
2250
2314
2453
2512
2678
2719
2833
2920
3038
3174
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences72
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs132
matches
0"was still, reflecting"
14.45% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount1
flaggedSentences4
totalSentences89
ratio0.045
matches
0"“He’s worried. The barrister in him reads danger into every silence.” Silas accepted his glass—a smoky Scotch, neat."
1"He took a slow sip, his gaze distant, fixed on a photograph across the room—a group of young men in Cold War-era suits, all smiles and bravado."
2"For a second, the quiet authority he wore like a coat slipped, and she saw the man underneath—the field agent who’d come home from Prague with a ruined knee and, she suspected, a ruin far deeper."
3"It wasn’t just a story; it was the foundational rock of his existence."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount907
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.026460859977949284
lyAdverbCount8
lyAdverbRatio0.008820286659316428
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
mean14.46
std10
cv0.691
sampleLengths
029
121
223
312
46
536
613
711
810
922
1018
1121
121
131
1413
1516
1612
173
1814
196
2012
2115
224
238
2416
258
2612
273
288
2918
303
314
329
3330
3412
3513
363
3727
3832
3910
4012
4131
429
4310
445
4532
4625
474
4846
4912
52.43% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats10
diversityRatio0.38202247191011235
totalSentences89
uniqueOpeners34
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences68
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences68
matches
0"It clung to the walls,"
1"She wasn’t here for the"
2"She was here because the"
3"He moved with a particular"
4"They landed on her, and"
5"He came over, his limp"
6"He settled onto the one"
7"She didn’t look at him"
8"She watched her finger trace"
9"It wasn’t a question"
10"His network was absolute."
11"He flagged down his own"
12"He turned back to her"
13"He didn’t drink."
14"She finally looked at him"
15"He’d given her the flat,"
16"He took a slow sip,"
17"His eyes, sharp as flint,"
18"She set her glass down"
19"He gestured with his glass"
ratio0.574
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences68
matches
0"The green neon sign of"
1"It clung to the walls,"
2"Aurora Carter nursed a glass"
3"She wasn’t here for the"
4"She was here because the"
5"Cardiff felt a lifetime away,"
6"The door creaked open, letting"
7"A man stepped through, shaking"
8"He moved with a particular"
9"Silas Blackwood paused at the"
10"They landed on her, and"
11"He came over, his limp"
12"He settled onto the one"
13"The silver signet ring on"
14"The old alias, a ghost"
15"She didn’t look at him"
16"She watched her finger trace"
17"It wasn’t a question"
18"His network was absolute."
19"He flagged down his own"
ratio0.956
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences68
matches(empty)
ratio0
86.47% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences38
technicalSentenceCount3
matches
0"The green neon sign of The Raven’s Nest bled onto the damp pavement of the Soho alley, a sickly glow that didn’t so much illuminate as stain the darkness."
1"Silas Blackwood paused at the bar, his hazel eyes scanning the room in a sweep that missed nothing."
2"For a second, the quiet authority he wore like a coat slipped, and she saw the man underneath—the field agent who’d come home from Prague with a ruined knee and…"
53.57% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount2
matches
0"Silas accepted, neat"
1"she said, the words feeling thin and inadequate"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount0
fancyTags(empty)
dialogueSentences34
tagDensity0.147
leniency0.294
rawRatio0
effectiveRatio0
74.0401%