Run: 2026-02-19-01KHTRB0Y0D1VXQWJJRH6CAR00

Run Details

Model:
o4 Mini
Duration:
23.0s
Cost:
$0.013440
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 pushed through the green neon glow of The Raven’s Nest and felt the familiar scrape of her boots on scuffed floorboards. The air smelled of spilled whiskey and old paper. She blinked against the dim light, scanning the bar’s wall of maps and black-and-white photographs until hazel eyes met hers. Silas stood behind the counter, one hand resting on the grain of the wood, the other adjusting a silver signet ring. His auburn hair carried more silver than she remembered. A thin scar traced the knot of his brow. She stalled before the bar, half a step away. His gaze held hers, unreadable. Aurora tilted her head. “Si?” The name felt foreign on her tongue, like a dress outgrown. He lowered his forearm and reached out, the limp in his left leg nudging the stool forward. “Rory.” She slid onto the stool. The bar trembled under her weight, as if it sensed the years pressing between them. She watched him tuck loose strands of hair behind his ear, slow and careful. “Does this place always smell of broken promises?” Her voice ended in a question, but laughter hid beneath the rough edges. “You’d know.” He set a glass before her. Clear liquid caught every flicker of the neon sign above. He twisted a knife, slicing a sliver of lime. The rind fell onto a small plate with a soft thud. Aurora picked at her sleeve. “Never thought I’d see you running a bar.” She lifted the glass. “Or me stumbling into it.” Silas touched the brim of the glass. “Prague taught me how to limp. Soho taught me how to hide.” She watched his mouth tighten around the knife’s cut. “You weren’t so good at hiding back then.” She set down the glass and wrapped both hands around the stem. He turned away, rolling a bottle between his palms. “You taught me that.” Aurora blinked. “I did?” He met her eyes. “When you showed up at that safe house with a stack of law books and questions no one could answer, I realised I’d underestimated you.” She stared at the rows of bottles, memories filling the swirling light. “That was ten years ago.” Silas pressed a rag flat against the countertop. “Ten years,” he said softly. “And you left before I could tell you what happened to Mariska.” Her pulse tightened. She’d asked once, back then, and he’d only shaken his head. “I got cold feet.” She touched the crescent scar on her left wrist. “I went back to Cardiff.” “You ran.” She rubbed the bar’s surface, fingertips tracing its grooves. “I had reasons.” He slid a coaster toward her—linen, embroidered with the bar’s raven emblem. “I had a network to rebuild.” She lifted the coaster as if it carried the weight of his apology. “Every time I thought of coming back, you vanished.” Silas uncorked a new bottle. Liquid hissed into the empty space. “I promised you I’d keep you safe. Sometimes safe meant disappearing.” Aurora’s breath caught. “You never tried to reach out.” He measured another pour. “I couldn’t risk you getting tangled in… this.” His hand swept the bottles. “All of it.” She stared at the dark wood. “I delivered food to this place once,” she said, voice low. “Didn’t see you then.” Silas dropped the knife onto the counter with a soft clatter. “Delivery person?” He offered a half-smile. “You? I should’ve known.” Aurora lifted her chin, eyes bright against the bar’s gloom. “Part-time gig. Golden Empress. I deliver dumplings, you know.” He shook his head, lips curved. “Everything’s changed.” She touched the glass’s rim. “I changed too.” Silas reached forward, paused, then let his hand fall flat. “Tell me.” She turned the glass so the lime floated against the side. “I’m not the same girl who ran into your arms that night in Prague.” The words drifted out before she could catch them. “I’m… harder.” He pressed his lips together, as though deciding which piece of her confession he could trust. “Hardened can be a shield.” Aurora watched his fingers tap out a rhythm on the wood. “It can also be a cage.” He leaned in, the limp momentarily forgotten. “What’s in your cage, Rory?” Her smile was brittle. “Regrets. Law school. Ev— Evan. You remember him.” Silas’s jaw clenched. “I remember your phone calls. You crying because he—” “He cornered me one night.” She swiped the glass sideways, shattering the silence. “Left the scar.” He lifted a hand to the scar on his cheek, half a shrug. “Scars don’t lie.” Aurora traced the rim. “I ran here after I left Evan. Didn’t know where else to go. I walked into this bar hoping you’d be here.” Silas’s gaze flicked up, his breath catching. “Why didn’t you call?” She shook her head, dark hair brushing her shoulders. “Pride.” He handed her a cloth. “Pride can burn you alive.” She dabbed at a drop of condensation. “I burnt Brussels instead.” She laughed, a sharp sound. “You should’ve seen my thesis on EU law. Pages and pages of wasted ink.” Silas twisted the cloth into a knot. “Your work always made me jealous.” Her shoulders dropped. “I made choices I thought would save me. Ended up lost anyway.” He slid the cloth into a basin. “No one’s ever lost forever.” Aurora stared into her drink. “What about you? MI6 gone. Prague bungled. Raven’s Nest.” She tipped her head toward the hidden doorway behind the bookshelf. “This front.” Silas unlocked a door behind the bar, revealing a room lit by a single lamp. Maps pinned across every wall. Strings and pins formed a spider’s web of contacts. Papers lay scattered on a table. She rose, stepping through the threshold. “You kept busy.” He followed, placing the bar’s last bottle on the shelf. “Work doesn’t heal.” Aurora traced a pin stuck into Berlin. “You were here in ’14.” He picked up a photograph from the table: a faded image of a woman in Prague. Her smile almost reached her eyes. “Mariska.” She turned away. “I didn’t know.” He folded his arms. “That night you left, I promised her I’d keep the running quiet. She never saw the bullets coming.” Aurora’s throat contracted. “I’m sorry.” He shook his head, turning the photo face-down. “You can’t fix what's already broken.” She touched his sleeve. “Maybe we can piece it together.” Silas blinked, as if stunned. “Piece… together?” Her hand dropped. “I don’t know. Start with this.” She tapped her wrist. “I’ve been saving stories, bits of law that felt like truths. I could help.” He stared at the ceiling beams—dark planks holding the world up. “You’d do that?” She nodded, breath steady. “If you— if we—” He exhaled, heavy, a sound caught between hope and fear. “We could try.” Aurora smiled, a slow curl that warmed the room. Silas turned away. From the doorway, he called out, “Back to the bar, Rory. Drinks on me.” She crossed back, shoulders lifted as if she carried wings. The neon sign above flickered, green light pooling around them. Silas set down two glasses. One he filled with amber liquid, the other with clear. He slid one toward her without looking up. Aurora wrapped both hands around the glass. “To second chances?” He lifted his. Fingers brushed the rim. “To finding our way.” The door to the secret room clicked closed behind them. The bar held its breath as they drank.
created_at"2026-02-19T10:50:10.246Z" 2/19/2026, 10:50:10 AM
model"openai/o4-mini-2025-04-16"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency9742
moderation_latency(null)
generation_time22789
tokens_prompt1094
tokens_completion2161
native_tokens_prompt982
native_tokens_completion2809
native_tokens_completion_images0
native_tokens_reasoning1088
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"
usage0.0134398
router(null)
provider_responses
0
endpoint_id"bd121898-b27c-4e2c-bc92-278627465a54"
id"resp_049ac5f3e0d12ca9016996eae25454819490e4800b811dbdb2"
is_byokfalse
latency134
model_permaslug"openai/o4-mini-2025-04-16"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771498210-uEVkRA48BrddV2e0wzqJ"
upstream_id"resp_049ac5f3e0d12ca9016996eae25454819490e4800b811dbdb2"
total_cost0.0134398
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
totalTags16
adverbTagCount1
adverbTags
0"he said softly [softly]"
dialogueSentences71
tagDensity0.225
leniency0.451
rawRatio0.063
effectiveRatio0.028
95.98% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1243
totalAiIsmAdverbs1
found
0
adverb"softly"
count1
highlights
0"softly"
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)
27.59% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1243
totalAiIsms18
found
0
word"familiar"
count1
1
word"scanning"
count1
2
word"traced"
count3
3
word"unreadable"
count1
4
word"trembled"
count1
5
word"weight"
count1
6
word"flicker"
count1
7
word"pulse"
count1
8
word"tracing"
count1
9
word"carried the weight"
count1
10
word"measured"
count1
11
word"gloom"
count1
12
word"jaw clenched"
count1
13
word"silence"
count1
14
word"flicked"
count1
15
word"flickered"
count1
highlights
0"familiar"
1"scanning"
2"traced"
3"unreadable"
4"trembled"
5"weight"
6"flicker"
7"pulse"
8"tracing"
9"carried the weight"
10"measured"
11"gloom"
12"jaw clenched"
13"silence"
14"flicked"
15"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"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences102
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences102
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences157
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1237
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount814
uniqueNames7
maxNameDensity1.6
worstName"Silas"
maxWindowNameDensity3
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Clear1
Silas13
Aurora13
Berlin1
Prague1
persons
0"Raven"
1"Silas"
2"Aurora"
places
0"Berlin"
1"Prague"
globalScore0.701
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount1
matches
0"as though deciding which piece of her confession he could trust"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1237
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences157
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs69
mean17.93
std9.34
cv0.521
sampleLengths
051
139
214
316
418
534
621
738
822
919
1029
1113
124
1329
1417
1525
1632
172
1812
1918
2022
2122
229
2320
2421
2521
2619
278
288
2912
3036
3121
3217
3312
3412
3512
3616
3716
3826
3911
4010
4110
4230
4313
4415
4512
4627
4735
489
4913
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences102
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs156
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences157
ratio0.013
matches
0"He slid a coaster toward her—linen, embroidered with the bar’s raven emblem."
1"He stared at the ceiling beams—dark planks holding the world up."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount820
adjectiveStacks0
stackExamples(empty)
adverbCount17
adverbRatio0.020731707317073172
lyAdverbCount3
lyAdverbRatio0.003658536585365854
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences157
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences157
mean7.88
std5.07
cv0.643
sampleLengths
022
19
220
321
49
59
69
75
84
912
1017
111
125
1315
1414
1521
168
1710
189
1911
205
2112
225
237
2412
259
2620
279
284
292
302
314
3225
3312
345
358
365
3712
383
3911
4013
415
422
439
443
4512
466
4713
489
495
53.72% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.3375796178343949
totalSentences157
uniqueOpeners53
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences101
matches(empty)
ratio0
0.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount59
totalSentences101
matches
0"She blinked against the dim"
1"His auburn hair carried more"
2"She stalled before the bar,"
3"His gaze held hers, unreadable."
4"He lowered his forearm and"
5"She slid onto the stool."
6"She watched him tuck loose"
7"Her voice ended in a"
8"He set a glass before"
9"He twisted a knife, slicing"
10"She lifted the glass"
11"She watched his mouth tighten"
12"She set down the glass"
13"He turned away, rolling a"
14"He met her eyes."
15"She stared at the rows"
16"he said softly"
17"Her pulse tightened."
18"She’d asked once, back then,"
19"She touched the crescent scar"
ratio0.584
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount98
totalSentences101
matches
0"Aurora pushed through the green"
1"The air smelled of spilled"
2"She blinked against the dim"
3"Silas stood behind the counter,"
4"His auburn hair carried more"
5"A thin scar traced the"
6"She stalled before the bar,"
7"His gaze held hers, unreadable."
8"Aurora tilted her head."
9"The name felt foreign on"
10"He lowered his forearm and"
11"She slid onto the stool."
12"The bar trembled under her"
13"She watched him tuck loose"
14"Her voice ended in a"
15"He set a glass before"
16"He twisted a knife, slicing"
17"The rind fell onto a"
18"Aurora picked at her sleeve."
19"She lifted the glass"
ratio0.97
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences101
matches(empty)
ratio0
91.84% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences28
technicalSentenceCount2
matches
0"She lifted the coaster as if it carried the weight of his apology."
1"He pressed his lips together, as though deciding which piece of her confession he could trust."
93.75% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags16
uselessAdditionCount1
matches
0"she said, voice low"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"She laughed (laugh)"
dialogueSentences71
tagDensity0.042
leniency0.085
rawRatio0.333
effectiveRatio0.028
80.9847%