Run: 2026-02-19-01KHTQTEEZDQD1N8T5VGN8H32A

Run Details

Duration:
42.2s
Cost:
$0.016567
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
Aurora stepped into The Raven’s Nest, shaking rain from her black hair. Faded maps and black-and-white photographs covered the walls, each whispering stories of far-off places and times long past. The distinctive green neon sign had drawn her in like a moth to a flame, one of Soho’s many secrets waiting under London's gray sky. She spotted the familiar stoop behind the bar—Silas, still the same with his grey-streaked auburn hair and neat beard. He moved with that faint limp, his silver signet ring glinting under the dim lights. They’d become the bar’s unofficial emblem, as much a part of the place as the tracks of old jazz drifting out of hidden corners. “Rory,” Silas called, his eyes crinkling with warmth as he approached her. “Long time, Si,” she replied, returning his smile with one of her own, though her mind was far away. She slipped onto a stool as he offered her a drink. “The usual,” he teased, already reaching for a bottle of whiskey. She watched him, her fingers absent-mindedly tracing the crescent scar on her wrist, a companion from another lifetime. It was in this familiar cocoon that a voice behind her, thick with surprise and familiarity, cut through the murmured conversations. “Aurora?” She turned slowly, and there stood Eva, her childhood friend who had always been as reliable as she was unpredictable. There was a time Eva had been more sister than friend, but time has a way of weaving its own bordering tapestry. Her hair, once a cascade of wild curls, was now tamed into a sleek, straight cut. Her attire bespoke someone polished by the city’s relentless grind, but Aurora could still detect the girl who once lifted her eyes to the heavens in wonder. “Eva,” Aurora's voice held equal measures of shock and warmth. “I can't believe it’s you.” Eva's smile was a blend of nostalgia and the unsaid. “It's been forever, hasn’t it?” Stepping closer, Aurora embraced her, noting the faint whiff of a sophisticated perfume Eva never would have worn during their carefree Cardiff days. “Are you… how are you?” Aurora faltered, suddenly aware of the vault of memories they had built, now dust-laden with silence. “Busy, mostly,” Eva responded, settling onto the stool beside her. “Work, life. You know how it goes.” “Yeah, it goes,” Aurora echoed hollowly, motioning at the bartender for another glass. “This was unexpected.” “It is. You look… well.” Eva’s eyes flitted across Aurora’s face, pausing over the scar on her wrist as if trying to read the past held captive there. “Same to you. New look suits you,” Aurora nodded, trying to bridge the gap that years apart had stretched too thin. Silas retreated to the edges, as discreet as the shadows themselves, allowing the reconnection to unfold. “London’s been keeping me on my toes,” Eva confessed, fingers playing with the edge of her glass. “You never really know where you’ll end up, do you?” “I suppose not,” Aurora conceded, remembering her own escape from the life that had threatened to swallow her whole. Silence settled between them, heavy with the unspoken acknowledgment of how different things were now. Aurora swirled the amber liquid in her glass, searching it as if the answers lay within. “Do you ever… think about Cardiff?” Eva asked, breaking the pause with a question laced with undercurrents of nostalgia and doubt. “More often than I’d admit,” Aurora replied. “Days seem simpler in hindsight, don’t they? But there was always that… restlessness.” “I miss it sometimes,” Eva confessed, her eyes momentarily devoid of present gloss, saturated with echoes of childhood laughter. “The certainty of things back then.” “We were different people,” Aurora mused, eyeing the old photographs on the wall. “Or maybe we just thought we were.” “What happened to us, Rory?” Eva’s voice dropped to a whisper, a loaded question wrapped in layers of regret and longing. “Life,” Aurora said, her tone soft yet resigned. “And all the madness it entails.” Eva sighed, nodding slowly. “Remember those nights on the hill? The stars were endless then.” “Yeah. I never found a better view,” Aurora admitted, voice thick with memories both cherished and bruised. “Do you still take photographs?” Eva asked, tipping her head slightly. Aurora shook her head, a wistful smile barely forming. “Not anymore. Other things took precedence.” “I understand,” Eva murmured, understanding adding a note of sorrow to the mix. “Life keeps moving, pulling us along whether we're ready or not.” They fell silent again, the bar’s buzz continuing unperturbed around them. Aurora looked over, seeing the changes wrought by time on Eva and, by consequence, on herself. Missing her friend, Aurora only now realized what was lost in their passage through years and choices. “You remember what we used to say?” Eva asked, her voice catching as she spoke. “That whatever happens, we’d find our way back.” Aurora’s heart tightened. “I remember.” Her reply lay heavy between them, an echo of a promise half-forgotten. “Maybe… we should try to, you know?” Eva suggested, brow furrowing with vulnerability. “I mean, it was a good idea back then.” “Maybe it still is.” Aurora met Eva's gaze, a shared understanding kindling quietly beneath the surface. Silas reemerged as if sensing the completion of some emotional orbit, warmth lingering in his gaze. “Another?” Aurora considered, then shook her head. “Thanks, Si, but I should be going.” Eva followed her lead, slipping off the stool as if shaking off an old mantle. “I'm glad we had this chance, Rory. Truly.” “Me too, Eva. It was good to see you.” This exchange bore the weight of years and yet carried a lightness, understanding acknowledged and embraced. Eva fished a card from her pocket, sliding across the counter. “In case. You know.” Aurora nodded, tucking it away. “Next time, let’s not leave it to chance.” “Deal.” Eva’s smile was serene, genuine. Aurora hugged her once more, marshalling a student’s grit as she embraced how life pushed people apart and then, sometimes, drew them back. Stepping outside, the drizzle greeted her with its old, moody embrace. She paused a moment, reflecting on how the night and conversation had shifted shadows she hadn’t known she carried. Then she walked into the storm, the city damp but alive around her. London, with its entangled streets and its endless promise of anonymous familiarity, guided her deeper into its embrace.
created_at"2026-02-19T10:41:07.07Z" 2/19/2026, 10:41:07 AM
model"openai/gpt-4o-2024-08-06"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency618
moderation_latency(null)
generation_time42058
tokens_prompt1094
tokens_completion1762
native_tokens_prompt983
native_tokens_completion1411
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"
usage0.0165675
router(null)
provider_responses
0
endpoint_id"9d15935a-34e6-4a5e-a5bc-c7dda213e876"
id"chatcmpl-DAvkx0TffComeJIWHy0S0Tso6HMGU"
is_byokfalse
latency451
model_permaslug"openai/gpt-4o-2024-08-06"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497667-f5QLhNptp2tcBZDCnAkI"
upstream_id"chatcmpl-DAvkx0TffComeJIWHy0S0Tso6HMGU"
total_cost0.0165675
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags24
adverbTagCount1
adverbTags
0"Aurora echoed hollowly [hollowly]"
dialogueSentences46
tagDensity0.522
leniency1
rawRatio0.042
effectiveRatio0.042
71.94% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1069
totalAiIsmAdverbs6
found
0
adverb"slowly"
count2
1
adverb"suddenly"
count1
2
adverb"really"
count1
3
adverb"slightly"
count1
4
adverb"truly"
count1
highlights
0"slowly"
1"suddenly"
2"really"
3"slightly"
4"truly"
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)
15.81% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1069
totalAiIsms18
found
0
word"moth to a flame"
count1
1
word"familiar"
count2
2
word"glinting"
count1
3
word"warmth"
count3
4
word"tracing"
count1
5
word"tapestry"
count1
6
word"silence"
count2
7
word"echoed"
count1
8
word"unspoken"
count1
9
word"echoes"
count1
10
word"whisper"
count1
11
word"echo"
count1
12
word"furrowing"
count1
13
word"weight"
count1
highlights
0"moth to a flame"
1"familiar"
2"glinting"
3"warmth"
4"tracing"
5"tapestry"
6"silence"
7"echoed"
8"unspoken"
9"echoes"
10"whisper"
11"echo"
12"furrowing"
13"weight"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
83.33% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells3
narrationSentences60
matches
0"g with warmth"
1"k with surprise"
2"s in wonder"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences60
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences81
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1061
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions13
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions53
wordCount817
uniqueNames9
maxNameDensity2.69
worstName"Aurora"
maxWindowNameDensity5
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Soho1
London2
Silas4
Eva20
Aurora22
Cardiff1
Silence1
persons
0"Nest"
1"Silas"
2"Eva"
3"Aurora"
4"Silence"
places
0"Raven"
1"Soho"
2"London"
3"Cardiff"
globalScore0.154
windowScore0
13.64% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount3
matches
0"as if trying to read the past held captive there"
1"as if sensing the completion of some emotional orbit, warmth lingering in his gaze"
2"as if shaking off an old mantle"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1061
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences81
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs45
mean23.58
std15
cv0.636
sampleLengths
055
158
212
319
440
522
685
715
815
923
1021
1117
1216
1328
1421
1516
1627
1719
1831
1921
2020
2125
2220
2321
2414
2515
2617
2711
2815
2924
3044
3123
3217
3322
3416
3517
3613
3723
389
3916
4015
4113
426
4323
4461
99.42% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences60
matches
0"was lost"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs148
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences81
ratio0.012
matches
0"She spotted the familiar stoop behind the bar—Silas, still the same with his grey-streaked auburn hair and neat beard."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount825
adjectiveStacks0
stackExamples(empty)
adverbCount28
adverbRatio0.03393939393939394
lyAdverbCount11
lyAdverbRatio0.013333333333333334
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences81
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences81
mean13.1
std6.25
cv0.477
sampleLengths
012
118
225
319
415
524
612
719
811
911
1018
1121
121
1320
1422
1516
1627
1710
185
1910
205
2123
2221
2310
247
2513
263
2728
2821
2916
3017
3110
3219
3315
3416
3521
367
3713
3819
396
4013
417
4221
438
446
454
4611
4717
4811
499
89.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5432098765432098
totalSentences81
uniqueOpeners44
56.50% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences59
matches
0"Then she walked into the"
ratio0.017
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences59
matches
0"She spotted the familiar stoop"
1"He moved with that faint"
2"They’d become the bar’s unofficial"
3"she replied, returning his smile"
4"She slipped onto a stool"
5"he teased, already reaching for"
6"She watched him, her fingers"
7"It was in this familiar"
8"She turned slowly, and there"
9"Her hair, once a cascade"
10"Her attire bespoke someone polished"
11"They fell silent again, the"
12"Her reply lay heavy between"
13"She paused a moment, reflecting"
ratio0.237
19.32% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount52
totalSentences59
matches
0"Aurora stepped into The Raven’s"
1"The distinctive green neon sign"
2"She spotted the familiar stoop"
3"He moved with that faint"
4"They’d become the bar’s unofficial"
5"Silas called, his eyes crinkling"
6"she replied, returning his smile"
7"She slipped onto a stool"
8"he teased, already reaching for"
9"She watched him, her fingers"
10"It was in this familiar"
11"She turned slowly, and there"
12"Her hair, once a cascade"
13"Her attire bespoke someone polished"
14"Aurora's voice held equal measures"
15"Eva's smile was a blend"
16"Aurora faltered, suddenly aware of"
17"Eva responded, settling onto the"
18"Aurora echoed hollowly, motioning at"
19"Eva’s eyes flitted across Aurora’s"
ratio0.881
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences59
matches(empty)
ratio0
47.62% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount4
matches
0"She turned slowly, and there stood Eva, her childhood friend who had always been as reliable as she was unpredictable."
1"Aurora swirled the amber liquid in her glass, searching it as if the answers lay within."
2"Silas reemerged as if sensing the completion of some emotional orbit, warmth lingering in his gaze."
3"Eva followed her lead, slipping off the stool as if shaking off an old mantle."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags24
uselessAdditionCount7
matches
0"Silas called, his eyes crinkling with warmth as he approached her"
1"Aurora said, her tone soft yet resigned"
2"Aurora admitted, voice thick with memories both cherished and bruised"
3"Eva murmured, understanding adding a note of sorrow to the mix"
4"Eva asked, her voice catching as she spoke"
5"Eva suggested, brow furrowing with vulnerability"
6"Aurora met, a shared understanding kindling quietly beneath the surface"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags16
fancyCount9
fancyTags
0"he teased (tease)"
1"Aurora faltered (falter)"
2"Eva responded (respond)"
3"Eva confessed (confess)"
4"Aurora conceded (concede)"
5"Eva confessed (confess)"
6"Aurora admitted (admit)"
7"Eva murmured (murmur)"
8"Eva suggested (suggest)"
dialogueSentences46
tagDensity0.348
leniency0.696
rawRatio0.563
effectiveRatio0.391
73.2290%