Run: 2026-02-19-01KHTRSG2WK0EZTPT93J9Y8D1A

Run Details

Duration:
8.0s
Cost:
$0.000096

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
The neon glow of the Raven’s Nest pulsed like a slow, steady heartbeat, casting jagged shadows across the wooden bar. Aurora Carter wiped her hands on her apron, the fabric clinging damply to her palms. The Golden Empress delivery van had delivered another rush of takeout, and she stood there, breathing in the sharp scent of garlic and chili, the kind of smell that made her stomach growl even as she tried to ignore it. The bar was nearly empty tonight, just a few regulars hunched over pints, their voices low and familiar. She’d been working late again, another night of balancing shifts and the weight of London’s late-night hunger. Then she saw him. Silas Blackwood stood at the far end of the bar, his usual posture relaxed but alert, the silver signet ring catching the light like a beacon. He didn’t look up at first, but his gaze lingered on the door, as if he’d known she was coming. His limp was still there, a quiet reminder of the past, and his beard was thicker now, the grey streaks in it darker against his skin. He turned then, and his face—once sharp and precise—was lined with something deeper, with years of quiet weariness. “Aurora,” he said, his voice rougher than she remembered, like gravel underfoot. “Long time.” She didn’t move. The scar on her wrist—small, crescent-shaped—pulsed faintly with her heartbeat. She’d forgotten how it felt to be this close to him, how the air between them still carried the ghost of old conversations, half-finished promises. “You look different,” she said, her fingers tightening around the edge of the bar. Silas exhaled, a slow, measured breath. “So do you.” The words hung between them, heavy with unspoken things. She’d changed too—from the sharp, restless girl who’d fled Cardiff to the one who now worked in a delivery van, her days stretched thin between food and the bar above. The flat above Silas’ bar was hers now, a small space with a bed that smelled of old books and the faintest trace of his cologne when he’d been there before. She’d moved in after Eva had left, after the night Evan had finally snapped. “Eva’s still in Paris,” Silas said, his voice low. “You haven’t heard from her?” Aurora shook her head. “Not since she left.” The silence stretched, thick and suffocating. Silas reached under the bar, his fingers brushing against something metallic before he pulled out a glass bottle of whiskey. He poured two fingers into a glass, handing it to her without a word. She took it, the amber liquid catching the light, and took a sip. It burned, sharp and clean, like the taste of old regrets. “You still work for the Nest?” she asked, her voice barely above a whisper. Silas didn’t answer right away. He set his glass down and leaned back against the bar, his gaze flickering over her face. “I still do,” he said finally. “But not the same way.” Aurora didn’t press. She’d known he’d changed. She’d known he’d retired, that he’d opened the bar as a front, that he’d let the past slip away like smoke. But seeing him like this—older, more tired—made her chest tighten. She’d been the one to leave, to walk away from everything, and now he was the one who’d let go. “You ever think about going back?” she asked, her fingers tracing the rim of her glass. Silas stared at her for a long moment, then shook his head. “No.” The word was final, quiet. Aurora didn’t push. She didn’t need to. The unspoken questions hung between them, heavy and unanswered. “You still delivering for Golden Empress?” Silas asked, his voice breaking the silence. Aurora nodded. “Same as always.” Silas studied her for a moment longer, then reached into his pocket and pulled out a folded piece of paper. He handed it to her, the weight of it familiar, the ink still legible. It was an address, a name—something she’d written down years ago, before everything had changed. “For you,” he said. Aurora took the paper, her fingers brushing against the ink. She didn’t look at it. “What is it?” Silas didn’t answer. He just watched her, his expression unreadable. She set the paper down on the bar, the weight of it pressing against her palm. “You’re not going to tell me?” Silas exhaled, a slow, frustrated breath. “No.” The silence returned, heavier than before. Aurora looked around the bar, the dim light casting long shadows across the walls. The old maps and photographs hung there, silent witnesses to a time when they’d been closer, when they’d been something more. “You ever think about what you left behind?” Silas asked, his voice rough. Aurora didn’t answer. She didn’t need to. The question hung between them, a weight she’d carried for years. Silas stood, his limp a quiet reminder of the past. “I’ll be closing up,” he said. “You coming?” Aurora didn’t move. She just watched him, the way his shoulders were squared, the way his gaze lingered on her for a moment longer than necessary. “Yeah,” she said finally. “I’ll be here.” Silas nodded, his expression unreadable. He turned then, his silhouette fading against the dim light. Aurora watched him go, the weight of the past pressing against her like a physical force. She took another sip of whiskey, the burn sharp and clean, like the taste of old regrets. The bar was quiet now, the hum of the neon sign the only sound. Aurora stood there, her fingers brushing against the paper on the bar, the weight of it pressing against her palm. She didn’t know what it was. She didn’t know what it meant. But she knew, deep down, that it was something she’d have to face. She took a deep breath, the air sharp and clean, like the taste of whiskey. She turned then, her gaze flickering over the maps and photographs on the wall. She was leaving again, just like she always did. But this time, she wasn’t running. She was walking. She walked toward the door, the weight of the past pressing against her like a physical force. She didn’t look back. She didn’t need to. She knew, deep down, that she was exactly where she was meant to be.
total_cost0.00009608000000000002

Evaluation details

Result Evaluator Details Meta Data
26.09% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount2
adverbTags
0"he said finally [finally]"
1"she said finally [finally]"
dialogueSentences23
tagDensity0.478
leniency0.957
rawRatio0.182
effectiveRatio0.174
95.28% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1059
totalAiIsmAdverbs1
found
0
adverb"barely above a whisper"
count1
highlights
0"barely above a whisper"
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)
wordCount1059
totalAiIsms25
found
0
word"pulsed"
count2
1
word"stomach"
count1
2
word"familiar"
count2
3
word"weight"
count7
4
word"beacon"
count1
5
word"reminder"
count2
6
word"measured"
count1
7
word"unspoken"
count2
8
word"silence"
count3
9
word"whisper"
count1
10
word"tracing"
count1
11
word"unreadable"
count2
highlights
0"pulsed"
1"stomach"
2"familiar"
3"weight"
4"beacon"
5"reminder"
6"measured"
7"unspoken"
8"silence"
9"whisper"
10"tracing"
11"unreadable"
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
narrationSentences84
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences84
filterMatches(empty)
hedgeMatches
0"tried to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences96
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen40
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1048
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions15
unquotedAttributions0
matches(empty)
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions34
wordCount938
uniqueNames12
maxNameDensity1.39
worstName"Silas"
maxWindowNameDensity3
worstWindowName"Silas"
discoveredNames
Raven1
Nest1
Carter1
Golden1
Empress1
London1
Blackwood1
Silas13
Cardiff1
Eva1
Evan1
Aurora11
persons
0"Raven"
1"Carter"
2"Blackwood"
3"Silas"
4"Eva"
5"Evan"
6"Aurora"
places
0"London"
1"Cardiff"
globalScore0.807
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences58
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1048
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences96
matches
0"retired, that he’d"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean29.94
std26.18
cv0.874
sampleLengths
0110
14
290
314
438
514
69
784
814
98
1064
1114
1233
1358
1416
1513
1621
1713
185
1949
204
2118
2210
2322
247
2541
2613
2718
2818
2926
307
3148
3259
3347
3439
92.73% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences84
matches
0"was lined"
1"were squared"
2"was meant"
38.38% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount4
totalVerbs165
matches
0"was coming"
1"was leaving"
2"wasn’t running"
3"was walking"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences5
totalSentences96
ratio0.052
matches
0"He turned then, and his face—once sharp and precise—was lined with something deeper, with years of quiet weariness."
1"The scar on her wrist—small, crescent-shaped—pulsed faintly with her heartbeat."
2"She’d changed too—from the sharp, restless girl who’d fled Cardiff to the one who now worked in a delivery van, her days stretched thin between food and the bar above."
3"But seeing him like this—older, more tired—made her chest tighten."
4"It was an address, a name—something she’d written down years ago, before everything had changed."
87.45% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount358
adjectiveStacks1
stackExamples
0"small, crescent-shaped-pulsed"
adverbCount17
adverbRatio0.04748603351955307
lyAdverbCount3
lyAdverbRatio0.008379888268156424
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences96
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences96
mean10.92
std7.69
cv0.705
sampleLengths
020
115
240
318
417
54
626
720
826
918
1012
112
123
1310
1425
1514
166
173
189
1930
2031
2114
229
235
244
254
266
2720
2814
2913
3011
3114
325
3317
346
355
363
374
3821
3910
4020
4116
4212
431
445
453
464
479
4813
492
40.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.20833333333333334
totalSentences96
uniqueOpeners20
41.15% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences81
matches
0"Then she saw him."
ratio0.012
17.53% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount41
totalSentences81
matches
0"She’d been working late again,"
1"He didn’t look up at"
2"His limp was still there,"
3"He turned then, and his"
4"he said, his voice rougher"
5"She didn’t move."
6"She’d forgotten how it felt"
7"she said, her fingers tightening"
8"She’d changed too—from the sharp,"
9"She’d moved in after Eva"
10"He poured two fingers into"
11"She took it, the amber"
12"It burned, sharp and clean,"
13"she asked, her voice barely"
14"He set his glass down"
15"he said finally"
16"She’d known he’d changed."
17"She’d known he’d retired, that"
18"She’d been the one to"
19"she asked, her fingers tracing"
ratio0.506
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount77
totalSentences81
matches
0"The neon glow of the"
1"Aurora Carter wiped her hands"
2"The Golden Empress delivery van"
3"The bar was nearly empty"
4"She’d been working late again,"
5"Silas Blackwood stood at the"
6"He didn’t look up at"
7"His limp was still there,"
8"He turned then, and his"
9"he said, his voice rougher"
10"She didn’t move."
11"The scar on her wrist—small,"
12"She’d forgotten how it felt"
13"she said, her fingers tightening"
14"Silas exhaled, a slow, measured"
15"The words hung between them,"
16"She’d changed too—from the sharp,"
17"The flat above"
18"She’d moved in after Eva"
19"Silas said, his voice low"
ratio0.951
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences81
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount2
matches
0"The Golden Empress delivery van had delivered another rush of takeout, and she stood there, breathing in the sharp scent of garlic and chili, the kind of smell …"
1"She’d changed too—from the sharp, restless girl who’d fled Cardiff to the one who now worked in a delivery van, her days stretched thin between food and the bar…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount7
matches
0"he said, his voice rougher than she remembered, like gravel underfoot"
1"she said, her fingers tightening around the edge of the bar"
2"Silas said, his voice low"
3"she asked, her voice barely above a whisper"
4"she asked, her fingers tracing the rim of her glass"
5"Silas asked, his voice breaking the silence"
6"Silas asked, his voice rough"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount0
fancyTags(empty)
dialogueSentences23
tagDensity0.478
leniency0.957
rawRatio0
effectiveRatio0
70.1969%