Run: 2026-02-17-01KHMQFDNQG1K9WJWWVXQC74ZM

Run Details

Duration:
21.4s
Cost:
$0.004099

Model input

System
You are an expert novelist with a gift for vivid, immersive prose. You write in tight third-person limited point of view with a strong narrative voice. Your prose is clean, precise, and engaging — you favor strong verbs, concrete details, and natural-sounding dialogue. You will be given a story bible (codex) containing canonical details about characters, locations, items, and lore. Use these details to ground your writing in the established world. Stay consistent with the codex. Write only the prose of the scene. Do not include titles, chapter headings, markdown formatting, or any commentary before or after the scene.
User/Human
<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> 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.

Model response

AI
The green neon sign flickered above the bar's entrance, casting an emerald wash across Rory's face as she pushed open the heavy wooden door. The Raven's Nest always smelled the same—whiskey and wood polish, a hint of smoke trapped in decades-old wallpaper covered with faded maps and forgotten photographs. She'd barely taken two steps when she saw him. Michael Reese. Sitting alone at the far end of the bar, nursing a tumbler of amber liquid. He looked different—thinner, harder, the soft collegiate edges of their university days completely sanded away. His hands, once soft from academic pursuits, now looked weathered. Capable. Their eyes met. No smile of recognition, just a sudden stillness. Silas Blackwood, the bar's owner, watched the exchange from behind the bar, his hazel eyes tracking between them with the practiced neutrality of someone who'd seen a thousand such moments. "Hello, Michael," Rory said. He lifted his glass slightly. Not a toast. Not a greeting. Just acknowledgment. "Aurora," he returned, his voice unchanged—precise, controlled. She slid onto the stool next to him, close enough to speak quietly but not so close as to suggest intimacy. The bartop between them might as well have been an ocean. "I didn't know you were in London," she said. A slight shift in his shoulders. Not quite a shrug. "People change." The words hung between them, loaded with everything unsaid. Their shared history—university debates, late-night conversations about changing the world, the passionate idealism of youth—felt suddenly distant. Foreign. Silas placed a glass of red wine in front of Rory without being asked. She nodded her thanks, a practiced gesture that suggested this wasn't her first time here, that this bar held some meaning beyond mere coincidence. "You look different," Michael said. Not as a compliment. More like an observation. A clinical assessment. Her black hair, straight and precise, framed a face that no longer carried the soft uncertainty of their shared past. The bright blue eyes were cooler now. Harder. The small crescent-shaped scar on her left wrist—a childhood remnant—caught the green neon light. "People change," she echoed back to him, taking a measured sip of wine. The silence between them was a living thing. Weighted with potential. With memories of what they'd been to each other, and what they'd become. Michael turned his glass, watching the whiskey catch the light. "I heard about Evan." A muscle tightened in her jaw. The name dropped like a stone into their conversation, creating ripples of tension. "Did you," she said. Not a question. "Academic circles are smaller than you'd think. Word travels." She knew what he wasn't saying. That he'd heard about the abuse. That she'd left. That she'd walked away from the carefully constructed path they'd both been groomed to follow. "And you?" she asked. "Still chasing academic glory?" A mirthless smile. "Something like that." The bar hummed around them. Soft conversations. The clink of glasses. The subtle movements of Silas cleaning and restocking, always listening, never interrupting. "We were going to change everything," Michael said softly. So softly she might have imagined it. But Rory heard. And in that moment, she saw the ghost of their shared dreams. Their shared hope. The version of themselves that existed before life happened. Before compromise. Before reality. "We were young," she said. And in those three words lay an entire history of lost potential. Of paths not taken. Of the brutal negotiation between idealism and survival.
total_cost0.0040992

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags9
adverbTagCount2
adverbTags
0"she echoed back [back]"
1"Michael said softly [softly]"
dialogueSentences14
tagDensity0.643
leniency1
rawRatio0.222
effectiveRatio0.222
48.10% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount578
totalAiIsmAdverbs6
found
0
adverb"completely"
count1
1
adverb"slightly"
count1
2
adverb"suddenly"
count1
3
adverb"carefully"
count1
4
adverb"softly"
count2
highlights
0"completely"
1"slightly"
2"suddenly"
3"carefully"
4"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)
30.80% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount578
totalAiIsms8
found
0
word"flickered"
count1
1
word"echoed"
count1
2
word"measured"
count1
3
word"silence"
count1
4
word"potential"
count2
5
word"tension"
count1
6
word"constructed"
count1
highlights
0"flickered"
1"echoed"
2"measured"
3"silence"
4"potential"
5"tension"
6"constructed"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences66
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences66
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences71
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords571
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
totalMentions15
wordCount521
uniqueNames7
maxNameDensity0.77
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Michael"
discoveredNames
Rory4
Raven1
Nest1
Reese1
Blackwood1
Silas3
Michael4
persons
0"Rory"
1"Raven"
2"Nest"
3"Reese"
4"Blackwood"
5"Silas"
6"Michael"
places(empty)
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences34
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount571
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences71
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs29
mean19.69
std12.55
cv0.637
sampleLengths
049
19
243
311
430
54
613
77
832
99
1012
1127
1238
1316
1442
1513
1624
1714
1819
197
209
2130
228
236
2423
2516
2631
275
2824
94.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences66
matches
0"being asked"
1"been groomed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs87
matches
0"wasn't saying"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences5
totalSentences71
ratio0.07
matches
0"The Raven's Nest always smelled the same—whiskey and wood polish, a hint of smoke trapped in decades-old wallpaper covered with faded maps and forgotten photographs."
1"He looked different—thinner, harder, the soft collegiate edges of their university days completely sanded away."
2"\"Aurora,\" he returned, his voice unchanged—precise, controlled."
3"Their shared history—university debates, late-night conversations about changing the world, the passionate idealism of youth—felt suddenly distant."
4"The small crescent-shaped scar on her left wrist—a childhood remnant—caught the green neon light."
86.16% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount531
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount26
adverbRatio0.04896421845574388
lyAdverbCount8
lyAdverbRatio0.015065913370998116
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences71
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences71
mean8.04
std6.39
cv0.794
sampleLengths
024
125
29
32
415
515
610
71
83
98
1030
114
125
133
143
152
167
1721
1811
199
206
214
222
239
2417
251
2614
2724
285
294
304
313
3220
337
341
3514
3613
378
383
3913
4010
414
426
4313
444
453
469
476
486
493
74.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.5070422535211268
totalSentences71
uniqueOpeners36
64.10% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences52
matches
0"More like an observation."
ratio0.019
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences52
matches
0"She'd barely taken two steps"
1"He looked different—thinner, harder, the"
2"His hands, once soft from"
3"Their eyes met."
4"He lifted his glass slightly."
5"he returned, his voice unchanged—precise,"
6"She slid onto the stool"
7"Their shared history—university debates, late-night"
8"She nodded her thanks, a"
9"Her black hair, straight and"
10"she echoed back to him,"
11"She knew what he wasn't"
12"Their shared hope."
ratio0.25
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount36
totalSentences52
matches
0"The green neon sign flickered"
1"The Raven's Nest always smelled"
2"She'd barely taken two steps"
3"He looked different—thinner, harder, the"
4"His hands, once soft from"
5"Their eyes met."
6"Silas Blackwood, the bar's owner,"
7"He lifted his glass slightly."
8"he returned, his voice unchanged—precise,"
9"She slid onto the stool"
10"The bartop between them might"
11"A slight shift in his"
12"The words hung between them,"
13"Their shared history—university debates, late-night"
14"Silas placed a glass of"
15"She nodded her thanks, a"
16"A clinical assessment."
17"Her black hair, straight and"
18"The bright blue eyes were"
19"The small crescent-shaped scar on"
ratio0.692
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences52
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount1
matches
0"Silas Blackwood, the bar's owner, watched the exchange from behind the bar, his hazel eyes tracking between them with the practiced neutrality of someone who'd …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences14
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
83.2810%