Run: 2026-02-19-01KHTQSQP03KFKTKGE3FQ0DQ37

Run Details

Duration:
20.7s
Cost:
$0.002537
Provider:
OpenAI

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
Rain pelted the narrow streets of Soho, slick with grime and neon reflections, as Aurora stepped into the dim glow of The Raven’s Nest. The green neon sign buzzed overhead, casting an eerie shimmer over the puddled pavement. She shook off her soaked hood and glanced up at the bar’s familiar, battered door. It was the sort of place one stumbled into when the night had curled too tightly, full of secrets half-whispered beneath clinking glasses. The air inside was thick with tobacco and old wood. Maps strewn across the walls framed black-and-white photographs that seemed to watch with tired patience. Aurora’s eyes adjusted quickly, scanning the low hum of conversation and the rustle of card games from the far corner. She hadn’t been here in years. Unexpected warmth rolled off the mahogany bar, punctuated by the clink of ice in glasses. A figure stood behind the counter—a tall man with a silver-streaked auburn beard and a limp hinted in every step. Silas. Her old friend. The Spymaster. For a moment, time fractured, and she saw him as he’d been—young, sharp-eyed, and impossibly confident, running errands in foreign cities with a sly smile. Now he bore the weight of decades like a folded map, weary edges and faded lines. He noticed her before she spoke, eyebrows lifting ever so slightly, a guarded pause hinging on the edge of recognition. “Rory.” His voice was dry, the timbre of secrets long kept. “Didn’t expect to see you here.” She shrugged off her damp jacket, setting it beside the stool. “Thought I’d check on the Nest. Figured it hadn’t changed much.” “It hasn’t.” He wiped a glass with a threadbare cloth, eyes narrowing. “Neither have you, in some ways. Still look like you carry those bright blue eyes just as stubbornly.” Aurora laughed, a short, sharp sound, her gaze darting away. “Stubborn’s one word for it. What about you? You’re... different.” Silas shifted, the limp catching briefly at the edge of a movement, then passed. “Different’s a given after as many years as we’ve got under our belts. The question is, what’s changed the most?” She hesitated, fingers tapping on the bar’s scarred surface. “You. You don’t move the way you used to. Not just the limp. You used to be quicker, sharper. Now there’s... caution.” “Survival calls for caution,” he said softly. “And some wounds don’t heal all the way.” “The Prague operation,” she said, the name falling between them like a chill wind. “You never told me what happened.” Silas’s jaw clenched, eyes drifting to a shadowed corner. “Not many do.” He shook his head slowly. “I lost more than just a knee that night.” The weight in his voice unsettled Aurora more than the gruff tone. She remembered their last real conversation—a hurried goodbye, tangled with hope and unspoken fears before she fled Cardiff. So much had passed since then, fractures widened by distance and silence. “Did you ever think about chasing me down?” Silas asked suddenly, as if reading her thoughts. A ghost of a grin tugged at her lips. “More than you know. But chasing shadows gets you nowhere.” Silas studied her then, the blue eyes once so full of fire now carrying a tempered resolve. “You did alright for yourself. Part-time at that restaurant? Always figured you’d be doing something bigger.” “Big doesn’t always mean better,” she said quietly. “I got out. That counts.” The bar’s low murmurs wavered as a few patrons glanced over, sensing the tension—two old ghosts crossing paths in a place that never forgot them. “Do you miss it?” he asked, voice dropping. “Miss what?” Her gaze lifted to meet his. “Everything. The danger. The stakes. The people you trusted and lost.” Aurora’s fingers curled around the edge of the bar. “I miss who I was before I knew what the world could do to you.” Silas nodded sagely. “That girl wore life like a shield. I hoped you’d kept some of that.” She gave a bitter laugh. “It cracks. Maybe even breaks.” The silence stretched, filled only by the soft clatter of glasses and the occasional burst of laughter elsewhere. “So, what’s next for Malphora?” Silas called her by her old codename, the spark of shared history igniting briefly between them. “Back for revenge? Regrets?” “Neither,” she replied. “Just looking. Trying to figure out if I still have a place to belong.” “That place,” he said, tapping the bar space beside her, “might be harder to find than you think.” Aurora’s gaze dropped to her scarred wrist, tracing the faint crescent-shaped mark almost out of habit. “Maybe. But I’m done running. I want to stand my ground.” Silas leaned forward, the familiar fire returning to his hazel eyes. “Good. Because the world isn’t waiting to forgive anyone.” A shard of something unspoken passed between them—a mixture of apology, longing, and the raw unravelling of time’s relentless pull. “So,” Aurora said, straightening, “How long’ve you owned this place again?” “Nearly a decade,” he answered, voice rough. “A safe harbour, or so I tell myself.” “For someone who saw too much, it sounds like exactly where you belong.” Silas smiled, a flash of old mischief mingled with sorrow. “Suppose we both found unexpected refuges.” Outside, the rain eased, drumming softer against the window. Inside, two figures sat on the edge of who they had been, caught between what was lost and what still flickered in the dark. Aurora glanced at her watch. “I should go. But maybe... I could stop by again.” Silas nodded slowly. “Don’t be a stranger, Rory.” She hesitated, then smiled with quiet determination. “No more running.” He took up a glass, raising it gently. “No more running.” They drank then—not to celebrate, but to acknowledge the miles across years and silence, the unspoken tethers pulling them back to the moment. The door creaked as another figure stepped in, the spell broken, but the ripple they left lingered like smoke in the air.
created_at"2026-02-19T10:40:43.717Z" 2/19/2026, 10:40:43 AM
model"openai/gpt-4.1-mini-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency473
moderation_latency(null)
generation_time20554
tokens_prompt1094
tokens_completion1628
native_tokens_prompt983
native_tokens_completion1340
native_tokens_completion_images0
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"completed"
usage0.0025372
router(null)
provider_responses
0
endpoint_id"872eccb7-9c85-45fc-974a-ff7c8e2407e6"
id"resp_0260cc6bc7d60b9f016996e8abcc2c8195ab1258eeb7d1aabe"
is_byokfalse
latency114
model_permaslug"openai/gpt-4.1-mini-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497643-uIG8LqApGyisxhqWHkvL"
upstream_id"resp_0260cc6bc7d60b9f016996e8abcc2c8195ab1258eeb7d1aabe"
total_cost0.0025372
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
53.66% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags13
adverbTagCount3
adverbTags
0"he said softly [softly]"
1"Silas asked suddenly [suddenly]"
2"she said quietly [quietly]"
dialogueSentences41
tagDensity0.317
leniency0.634
rawRatio0.231
effectiveRatio0.146
60.20% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1005
totalAiIsmAdverbs8
found
0
adverb"tightly"
count1
1
adverb"quickly"
count1
2
adverb"ever so slightly"
count1
3
adverb"softly"
count1
4
adverb"slowly"
count2
5
adverb"suddenly"
count1
6
adverb"gently"
count1
highlights
0"tightly"
1"quickly"
2"ever so slightly"
3"softly"
4"slowly"
5"suddenly"
6"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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1005
totalAiIsms21
found
0
word"familiar"
count2
1
word"scanning"
count1
2
word"warmth"
count1
3
word"fractured"
count1
4
word"weight"
count2
5
word"chill"
count1
6
word"jaw clenched"
count1
7
word"unsettled"
count1
8
word"unspoken"
count3
9
word"silence"
count3
10
word"resolve"
count1
11
word"wavered"
count1
12
word"tension"
count1
13
word"tracing"
count1
14
word"flickered"
count1
highlights
0"familiar"
1"scanning"
2"warmth"
3"fractured"
4"weight"
5"chill"
6"jaw clenched"
7"unsettled"
8"unspoken"
9"silence"
10"resolve"
11"wavered"
12"tension"
13"tracing"
14"flickered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"jaw/fists clenched"
count1
highlights
0"jaw clenched"
95.76% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells2
narrationSentences57
matches
0"d with hope"
1"d with sorrow"
92.73% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences57
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences84
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords992
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount661
uniqueNames7
maxNameDensity1.51
worstName"Silas"
maxWindowNameDensity3
worstWindowName"Silas"
discoveredNames
Soho1
Aurora8
Raven1
Nest1
Spymaster1
Silas10
Cardiff1
persons
0"Aurora"
1"Raven"
2"Silas"
places
0"Soho"
1"Cardiff"
globalScore0.744
windowScore0.667
33.72% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences43
glossingSentenceCount2
matches
0"photographs that seemed to watch with tired patience"
1"as if reading her thoughts"
99.19% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.008
wordCount992
matches
0"not to celebrate, but to acknowledge the miles across years"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences84
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean22.55
std12.81
cv0.568
sampleLengths
076
151
241
341
420
517
622
730
820
934
1031
1115
1220
1326
1442
1516
1619
1733
1813
1925
208
218
2211
2324
2417
2510
2618
2725
2817
2918
3027
3120
3220
3311
3415
3513
3616
3733
3815
398
4010
4111
4223
4322
99.11% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences57
matches
0"been, caught"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs126
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences6
totalSentences84
ratio0.071
matches
0"A figure stood behind the counter—a tall man with a silver-streaked auburn beard and a limp hinted in every step."
1"For a moment, time fractured, and she saw him as he’d been—young, sharp-eyed, and impossibly confident, running errands in foreign cities with a sly smile."
2"She remembered their last real conversation—a hurried goodbye, tangled with hope and unspoken fears before she fled Cardiff."
3"The bar’s low murmurs wavered as a few patrons glanced over, sensing the tension—two old ghosts crossing paths in a place that never forgot them."
4"A shard of something unspoken passed between them—a mixture of apology, longing, and the raw unravelling of time’s relentless pull."
5"They drank then—not to celebrate, but to acknowledge the miles across years and silence, the unspoken tethers pulling them back to the moment."
90.19% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount673
adjectiveStacks0
stackExamples(empty)
adverbCount33
adverbRatio0.04903417533432392
lyAdverbCount15
lyAdverbRatio0.022288261515601784
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences84
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences84
mean11.81
std6.17
cv0.522
sampleLengths
024
114
215
323
410
515
620
76
815
920
101
113
122
1325
1416
1520
1611
176
1811
1911
2012
2118
2210
2310
2414
2520
269
2722
287
298
3014
316
329
338
349
3512
3618
3712
3816
399
4010
4117
4216
438
445
4525
468
478
4811
499
85.32% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.5119047619047619
totalSentences84
uniqueOpeners43
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences54
matches(empty)
ratio0
57.04% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences54
matches
0"She shook off her soaked"
1"It was the sort of"
2"She hadn’t been here in"
3"Her old friend."
4"He noticed her before she"
5"His voice was dry, the"
6"She shrugged off her damp"
7"He wiped a glass with"
8"She hesitated, fingers tapping on"
9"he said softly"
10"she said, the name falling"
11"He shook his head slowly"
12"She remembered their last real"
13"she said quietly"
14"he asked, voice dropping"
15"Her gaze lifted to meet"
16"She gave a bitter laugh."
17"he said, tapping the bar"
18"he answered, voice rough"
19"She hesitated, then smiled with"
ratio0.407
15.56% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences54
matches
0"Rain pelted the narrow streets"
1"The green neon sign buzzed"
2"She shook off her soaked"
3"It was the sort of"
4"The air inside was thick"
5"Maps strewn across the walls"
6"Aurora’s eyes adjusted quickly, scanning"
7"She hadn’t been here in"
8"A figure stood behind the"
9"Her old friend."
10"He noticed her before she"
11"His voice was dry, the"
12"She shrugged off her damp"
13"He wiped a glass with"
14"Aurora laughed, a short, sharp"
15"Silas shifted, the limp catching"
16"She hesitated, fingers tapping on"
17"he said softly"
18"she said, the name falling"
19"Silas’s jaw clenched, eyes drifting"
ratio0.889
92.59% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences54
matches
0"Now he bore the weight"
ratio0.019
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences28
technicalSentenceCount1
matches
0"Maps strewn across the walls framed black-and-white photographs that seemed to watch with tired patience."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags13
uselessAdditionCount6
matches
0"He wiped, eyes narrowing"
1"she said, the name falling between them like a chill wind"
2"Silas asked suddenly, as if reading her thoughts"
3"he asked, voice dropping"
4"Silas called, the spark of shared history igniting briefly between them"
5"he answered, voice rough"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount0
fancyTags(empty)
dialogueSentences41
tagDensity0.244
leniency0.488
rawRatio0
effectiveRatio0
74.7243%