Run: 2026-02-19-01KHTR3YNZ9CWDY9MXFWG6AY9T

Run Details

Duration:
11.8s
Cost:
$0.022510
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 Carter pushed open the heavy wooden door of The Raven's Nest, the familiar creak echoing in the dimly lit bar. The green neon sign outside had drawn her in like a moth to a flame, a beacon in the foggy London night. She shook off the drizzle from her black coat and scanned the room. The walls, adorned with old maps and black-and-white photographs, seemed to whisper stories of the past. She made her way to the bar, her eyes adjusting to the low light. Silas Blackwood, the bar's owner, stood behind the counter, polishing a glass. His hazel eyes met hers, and a warm, knowing smile spread across his face. "Rory," he greeted, his voice a gravelly rumble. "It's been a while." "Too long, Si," she replied, sliding onto a barstool. "How's the knee?" "Still creaky, but it gets me by," he said, tapping his leg with a wry grin. "What brings you here tonight?" "Needed a break from the usual," she said, glancing around. "And maybe a drink." Silas nodded and poured her a whiskey, neat. "On the house." She took a sip, savoring the burn. "Thanks." As she settled into the familiar comfort of the bar, the door opened again, and a figure stepped inside. Aurora's breath caught in her throat as she recognized the man who had just walked in. It was Evan, her ex. He looked different—older, more worn—but there was no mistaking him. Evan's eyes scanned the room, and when they landed on Aurora, they widened in surprise. He hesitated for a moment before making his way over to her. "Aurora," he said, his voice tinged with disbelief. "I didn't expect to see you here." "Neither did I," she replied, her tone cool. "What brings you to The Raven's Nest?" "Just passing through," he said, sliding onto the stool next to her. "Needed a drink." Silas, sensing the tension, moved to the other end of the bar, giving them some space. Evan ordered a beer and took a long sip before turning to Aurora. "You look good." "Thanks," she said, not meeting his gaze. "You look... different." "Life has a way of doing that," he said with a bitter chuckle. "How have you been?" "Busy," she replied. "Working, trying to move on." "From me?" he asked, his voice softening. "From everything," she said, finally looking at him. "You?" "Same," he said, running a hand through his hair. "I've been trying to make amends, fix things." "Some things can't be fixed," she said, her voice hardening. "You know that better than anyone." He winced, the weight of her words hitting him. "I know I hurt you, Aurora. I was a different person back then." "Were you?" she asked, raising an eyebrow. "Or are you just saying that because it's what you think I want to hear?" "I've changed," he insisted. "I've been through a lot since we last saw each other." "Like what?" she asked, her curiosity piqued despite herself. He took a deep breath. "I lost my job, my apartment. I hit rock bottom. It made me realize how much I took for granted, how much I hurt the people I cared about." Aurora studied him, searching for any sign of the man she once loved. "And now?" "Now I'm trying to rebuild," he said. "One step at a time." She nodded, taking another sip of her whiskey. "It's not easy, is it?" "No," he admitted. "But it's worth it." They sat in silence for a moment, the weight of their shared history hanging between them. "Do you ever think about what could have been?" he asked quietly. "Sometimes," she said, her voice barely above a whisper. "But I try not to dwell on it. It's in the past." "Do you regret it?" he asked, his eyes searching hers. "Leaving you?" she asked, meeting his gaze. "No. It was the hardest thing I've ever done, but it was the right thing." He nodded, his shoulders slumping. "I understand." "Do you?" she asked, her tone challenging. "Do you really?" "I do," he said, his voice firm. "I know I can't change the past, but I can try to be better in the future." "Actions speak louder than words, Evan," she said, finishing her drink. "You know that." "I do," he repeated. "And I'm willing to prove it." She sighed, the tension in her shoulders easing slightly. "We'll see." Silas returned, sensing the conversation had reached a natural pause. "Another round?" Aurora shook her head. "I should get going." Evan looked at her, a mixture of hope and regret in his eyes. "Can we talk again? Maybe over coffee?" She hesitated, then nodded. "Maybe. But don't expect miracles." "I won't," he said, a small smile tugging at his lips. "Just a chance." She stood, pulling her coat around her. "Goodnight, Evan." "Goodnight, Aurora," he said, watching her leave. As she stepped out into the cool night air, she took a deep breath, feeling a weight lift off her shoulders. The past was a heavy burden, but maybe, just maybe, the future held a glimmer of hope.
created_at"2026-02-19T10:46:18.565Z" 2/19/2026, 10:46:18 AM
model"openai/gpt-4o-2024-05-13"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency698
moderation_latency(null)
generation_time11744
tokens_prompt1094
tokens_completion1274
native_tokens_prompt983
native_tokens_completion1173
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"
usage0.02251
router(null)
provider_responses
0
endpoint_id"3d6584e7-a2bb-48d6-903d-24e3d90e7e55"
id"chatcmpl-DAvpy39jVifTHurOlYVHqDSHWw6uw"
is_byokfalse
latency683
model_permaslug"openai/gpt-4o-2024-05-13"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771497978-fhJnrKYPyydNxFQrBabw"
upstream_id"chatcmpl-DAvpy39jVifTHurOlYVHqDSHWw6uw"
total_cost0.02251
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
totalTags29
adverbTagCount1
adverbTags
0"he asked quietly [quietly]"
dialogueSentences67
tagDensity0.433
leniency0.866
rawRatio0.034
effectiveRatio0.03
82.46% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount855
totalAiIsmAdverbs3
found
0
adverb"barely above a whisper"
count1
1
adverb"really"
count1
2
adverb"slightly"
count1
highlights
0"barely above a whisper"
1"really"
2"slightly"
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)
0.58% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount855
totalAiIsms17
found
0
word"familiar"
count2
1
word"echoing"
count1
2
word"moth to a flame"
count1
3
word"beacon"
count1
4
word"scanned"
count2
5
word"whisper"
count2
6
word"tinged"
count1
7
word"tension"
count2
8
word"weight"
count3
9
word"eyebrow"
count1
10
word"silence"
count1
highlights
0"familiar"
1"echoing"
2"moth to a flame"
3"beacon"
4"scanned"
5"whisper"
6"tinged"
7"tension"
8"weight"
9"eyebrow"
10"silence"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"weight of words/silence"
count1
1
label"flicker of emotion"
count1
highlights
0"the weight of her words"
1"a glimmer of hope"
97.22% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells2
narrationSentences60
matches
0"d in surprise"
1"d with disbelief"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences60
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences98
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords851
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions29
unquotedAttributions0
matches(empty)
93.40% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount530
uniqueNames8
maxNameDensity1.13
worstName"Aurora"
maxWindowNameDensity2
worstWindowName"Aurora"
discoveredNames
Carter1
Raven1
Nest1
London1
Blackwood1
Silas4
Evan4
Aurora6
persons
0"Carter"
1"Raven"
2"Blackwood"
3"Silas"
4"Evan"
5"Aurora"
places
0"London"
globalScore0.934
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences39
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount851
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences98
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs50
mean17.02
std11.83
cv0.695
sampleLengths
072
140
212
312
421
514
611
78
850
927
1015
1115
1215
1316
1416
1510
1617
178
187
199
2017
2116
2222
2322
2415
259
2634
2715
2812
2913
307
3116
3212
3321
3410
3522
367
3710
3824
3914
4010
4111
4212
438
4420
459
4614
479
487
4938
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences60
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs114
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences98
ratio0.01
matches
0"He looked different—older, more worn—but there was no mistaking him."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount534
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.0299625468164794
lyAdverbCount6
lyAdverbRatio0.011235955056179775
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean8.68
std5.34
cv0.615
sampleLengths
021
122
213
316
414
512
614
78
84
99
103
1116
125
1310
144
158
163
177
181
1919
2016
215
2210
2315
2412
258
267
278
287
2912
303
3116
3213
333
347
353
3613
374
383
395
407
418
421
439
448
4510
466
479
4813
497
71.43% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.45918367346938777
totalSentences98
uniqueOpeners45
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences55
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences55
matches
0"She shook off the drizzle"
1"She made her way to"
2"His hazel eyes met hers,"
3"he greeted, his voice a"
4"she replied, sliding onto a"
5"he said, tapping his leg"
6"she said, glancing around"
7"She took a sip, savoring"
8"It was Evan, her ex."
9"He looked different—older, more worn—but"
10"He hesitated for a moment"
11"he said, his voice tinged"
12"she replied, her tone cool"
13"he said, sliding onto the"
14"she said, not meeting his"
15"he said with a bitter"
16"he asked, his voice softening"
17"she said, finally looking at"
18"he said, running a hand"
19"she said, her voice hardening"
ratio0.709
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount53
totalSentences55
matches
0"Aurora Carter pushed open the"
1"The green neon sign outside"
2"She shook off the drizzle"
3"The walls, adorned with old"
4"She made her way to"
5"Silas Blackwood, the bar's owner,"
6"His hazel eyes met hers,"
7"he greeted, his voice a"
8"she replied, sliding onto a"
9"he said, tapping his leg"
10"she said, glancing around"
11"Silas nodded and poured her"
12"She took a sip, savoring"
13"Aurora's breath caught in her"
14"It was Evan, her ex."
15"He looked different—older, more worn—but"
16"Evan's eyes scanned the room,"
17"He hesitated for a moment"
18"he said, his voice tinged"
19"she replied, her tone cool"
ratio0.964
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences55
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount0
matches(empty)
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags29
uselessAdditionCount10
matches
0"he greeted, his voice a gravelly rumble"
1"she replied, her tone cool"
2"she said, not meeting his gaze"
3"he asked, his voice softening"
4"she said, her voice hardening"
5"she said, her voice barely above a whisper"
6"he asked, his eyes searching hers"
7"she asked, her tone challenging"
8"he said, his voice firm"
9"he said, a small smile tugging at his lips"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags28
fancyCount3
fancyTags
0"he insisted (insist)"
1"he admitted (admit)"
2"he repeated (repeat)"
dialogueSentences67
tagDensity0.418
leniency0.836
rawRatio0.107
effectiveRatio0.09
77.0585%