Run: 2026-09-03-01M1KXKNKA39KDWWXB6TPFB2GX

Run Details

Duration:
13m 44s
Cost:
$0.000000
Provider:
Cloudflare

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 green neon above The Raven’s Nest ticked against the wet street. Rain ran down the brick in long beads and slid into the gutter. Rory kept the Golden Empress bag between her feet and pulled the apron off her shoulders. The bar smelled of damp wool, old paper, and the lemon polish Silas used on the counter. Maps covered the walls, their edges curling, and a black-and-white photograph of a woman with a cigarette watched the doorway. Silas was not at the bar. The stool beside Rory’s stood empty, its leather seat worn to the shape of many nights. The bookshelf near the stairs showed a narrow gap where a book had been moved, and the floorboards behind it were darker than the rest. She was reaching for a coaster when the man at the far end of the bar turned. He wore a black coat, buttoned to the throat. His hair was cropped close and silver at the temples, though he could not have been past thirty-two. His face had lost the softness it once had. The cheeks were hollow. The mouth had forgotten how to open first. Rhys Llewellyn had come back to London. “Rory.” The name came out flat, without surprise. She set the bag on the floor. Her wrist ached where the crescent scar pulled under the skin. “Rhys.” He slid down the bar until he was three stools away. The wood creaked. He did not look at the door, the maps, or the green sign painted on the bottle shelf. He looked only at her. “Ten years.” “Eleven.” He touched his glass. The ice moved. “You remember.” “I remember you stealing the last of the orange squash at the Year Six do.” He smiled. The smile reached only the edges of his eyes. “You still tell that one.” “I still tell every one.” He nodded and turned to the bar. The empty space where Silas should have been seemed larger. “Whiskey. Neat. The good one, not the one they pour for tourists.” No one answered. Rhys sat back and crossed his legs. The coat had a label inside, or it had once. It hung like a suit of armour. His shoes were polished to a dull shine. They had no scuff, no salt, no street. “You look the same.” “I look tired.” “You look careful.” Rory laughed. “That’s new.” He watched her. The way his gaze moved over the bag, the apron, the flat above the stairs, the door behind her. He knew the shape of her life. “How did you find this place?” “Your flat number is on the delivery box. The name on the door is not the name on the box.” He took a sip from the glass, though no one had filled it. “That made it easy.” “Silas would have killed you if he’d let you in.” “Silas is not here.” “The sign is on.” “The sign is always on.” Rory folded the apron and set it on the stool beside her. Her fingers pressed the wet patch near her hip. The bar had no clock. The rain tapped the window in uneven beats. “What do you want?” He looked at the maps. One showed the Thames, another the old routes of ships. A photograph of a dockside woman hung between them. “I wanted to see if you were still you.” “I’m still me.” “No. You’re the one who moves boxes and lives above a bar that does not have a bar.” She did not answer. “I’m still the one who moves boxes.” He turned back to her. “I have a file.” The word touched the counter. “I don’t need a file.” “It is not for you. It is for the man you left in Cardiff.” Her throat tightened. She turned the coaster under her glass. The cardboard softened at the edge. “Evan is not in Cardiff.” “He is in London. He has a new name. A new office. A new kind of wife.” Rhys placed each word on the table. “He also has a habit of keeping what he takes.” “Take what?” “Proof. Paper. The kind that makes a woman disappear from a life.” He paused. “The kind I used to make for other men.” Rory stopped turning the coaster. “You were a clerk.” “I was a clerk.” “At Ashworth.” “At Ashworth.” “I remember you at Ashworth. You had a tie with fish on it.” Rhys looked down at his hands. They were thin, steady, the nails cut square. No paint under the cuticles. No ink on the index finger. No splinter from the model ship he had built for her at sixteen, the one with a sail of newspaper and a name, “Carys”, written in red marker. “I wore a lot of fish ties.” “You wore one the day you left.” The silence between them had edges. The neon outside ticked. A bus passed under the window, its lights throwing long shadows across the maps. Rhys touched the rim of his glass. “I was going to tell you.” “You were.” “I was. I wrote the note. I put it in your bag.” “My bag was in the bin by the tram.” “It was in your bag.” “You never put it in my bag.” He touched his throat. His jaw worked. “I didn’t know which bag you would take.” Rory looked at the Golden Empress box. Her own bag lay open by the door, its strap torn near the buckle. The note he meant had never come. Rory wiped a drop of water from the counter. “Cardiff gets
created_at"2026-09-03T15:27:28.212Z" 9/3/2026, 3:27:28 PM
model"qwen/qwen3.8-27b-20260814"
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external_user(null)
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generation_time300214
tokens_prompt1063
tokens_completion12147
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native_tokens_completion1
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native_tokens_reasoning10818
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences50
tagDensity0.08
leniency0.16
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount929
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
94.62% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount929
totalAiIsms1
found
0
word"silence"
count1
highlights
0"silence"
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
narrationSentences70
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences70
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences116
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords929
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
92.62% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount610
uniqueNames10
maxNameDensity1.15
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Rory"
discoveredNames
Raven1
Nest1
Golden2
Empress2
Silas3
Rory7
Llewellyn1
London1
Thames1
Rhys5
persons
0"Raven"
1"Nest"
2"Silas"
3"Rory"
4"Llewellyn"
5"Rhys"
places
0"Golden"
1"London"
2"Thames"
globalScore0.926
windowScore1
98.98% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences49
glossingSentenceCount1
matches
0"seemed larger"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount929
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences116
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs66
mean14.08
std15.25
cv1.083
sampleLengths
078
147
217
348
47
51
67
718
81
937
102
111
129
1315
1416
155
1629
173
1840
194
203
213
224
2329
246
2537
2610
274
284
295
3034
314
3233
333
3418
354
367
379
385
395
4014
4121
4234
432
4423
459
464
472
482
4913
85.21% Passive voice overuse
Target: ≤2% passive sentences
passiveCount4
totalSentences70
matches
0"been moved"
1"was cropped"
2"been seemed"
3"were polished"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs92
matches
0"was reaching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences116
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount613
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.01631321370309951
lyAdverbCount2
lyAdverbRatio0.0032626427406199023
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences116
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences116
mean8.01
std5.78
cv0.722
sampleLengths
012
113
216
317
420
56
616
725
817
99
1018
119
124
138
147
151
167
177
1811
191
2011
213
2218
235
242
251
264
273
282
2915
302
319
325
335
347
3510
3612
373
387
3910
407
418
428
434
443
453
462
472
483
4919
38.79% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats13
diversityRatio0.25862068965517243
totalSentences116
uniqueOpeners30
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences67
matches(empty)
ratio0
58.81% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount27
totalSentences67
matches
0"She was reaching for a"
1"He wore a black coat,"
2"His hair was cropped close"
3"His face had lost the"
4"She set the bag on"
5"Her wrist ached where the"
6"He slid down the bar"
7"He did not look at"
8"He looked only at her."
9"He touched his glass."
10"He nodded and turned to"
11"It hung like a suit"
12"His shoes were polished to"
13"They had no scuff, no"
14"He watched her."
15"He knew the shape of"
16"He took a sip from"
17"Her fingers pressed the wet"
18"He looked at the maps."
19"She did not answer."
ratio0.403
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount62
totalSentences67
matches
0"The green neon above The"
1"Rain ran down the brick"
2"Rory kept the Golden Empress"
3"The bar smelled of damp"
4"Maps covered the walls, their"
5"Silas was not at the"
6"The stool beside Rory’s stood"
7"The bookshelf near the stairs"
8"She was reaching for a"
9"He wore a black coat,"
10"His hair was cropped close"
11"His face had lost the"
12"The cheeks were hollow."
13"The mouth had forgotten how"
14"Rhys Llewellyn had come back"
15"The name came out flat,"
16"She set the bag on"
17"Her wrist ached where the"
18"He slid down the bar"
19"The wood creaked."
ratio0.925
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences67
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags4
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
85.6344%