Run: 2026-02-19-01KHTYVENBY4PAG181CRCGCZHS

Run Details

Duration:
6.5s
Cost:
$0.001914

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 sign of The Raven's Nest flickered against the rain-slicked street. Inside, the bar hummed with low conversation, old photographs and maps casting shadows on worn wooden surfaces. Rory balanced a tray of empty glasses, her shoulder-length black hair tucked behind one ear. The crescent-shaped scar on her left wrist caught the dim light as she moved. She was halfway to the bar when a familiar silhouette made her freeze. Eva. Her childhood friend sat hunched at the corner table, something hard and unfamiliar in her posture. Gone was the animated girl who used to laugh too loud, who'd convinced Rory to leave Cardiff and her toxic relationship behind. This Eva looked carved from something brittle—expensive wool coat, sharp cheekbones, hands wrapped around a whiskey that remained untouched. "Christ," Rory muttered. Eva looked up. Their eyes met. No smile broke the silence. Silas watched from behind the bar, his hazel eyes tracking the moment with the careful precision of a former intelligence operative. He knew the weight of unspoken histories.
total_cost0.0019136

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount176
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount176
totalAiIsms5
found
0
word"flickered"
count1
1
word"familiar"
count1
2
word"silence"
count1
3
word"weight"
count1
4
word"unspoken"
count1
highlights
0"flickered"
1"familiar"
2"silence"
3"weight"
4"unspoken"
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
narrationSentences15
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences15
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences15
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen22
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords172
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
62.28% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions9
wordCount171
uniqueNames5
maxNameDensity1.75
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Rory"
discoveredNames
Raven1
Nest1
Rory3
Cardiff1
Eva3
persons
0"Raven"
1"Nest"
2"Rory"
3"Eva"
places
0"Cardiff"
globalScore0.623
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences10
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount172
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences15
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs8
mean21.5
std19.59
cv0.911
sampleLengths
030
142
21
357
43
56
65
728
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences15
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs31
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences15
ratio0.067
matches
0"This Eva looked carved from something brittle—expensive wool coat, sharp cheekbones, hands wrapped around a whiskey that remained untouched."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount175
adjectiveStacks0
stackExamples(empty)
adverbCount3
adverbRatio0.017142857142857144
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences15
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences15
mean11.47
std6.93
cv0.604
sampleLengths
013
117
215
314
413
51
616
722
819
93
103
113
125
1321
147
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.8666666666666667
totalSentences15
uniqueOpeners13
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences13
matches(empty)
ratio0
96.92% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences13
matches
0"She was halfway to the"
1"Her childhood friend sat hunched"
2"Their eyes met."
3"He knew the weight of"
ratio0.308
75.38% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount10
totalSentences13
matches
0"The green neon sign of"
1"Rory balanced a tray of"
2"The crescent-shaped scar on her"
3"She was halfway to the"
4"Her childhood friend sat hunched"
5"This Eva looked carved from"
6"Eva looked up."
7"Their eyes met."
8"Silas watched from behind the"
9"He knew the weight of"
ratio0.769
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences13
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences9
technicalSentenceCount2
matches
0"Gone was the animated girl who used to laugh too loud, who'd convinced Rory to leave Cardiff and her toxic relationship behind."
1"This Eva looked carved from something brittle—expensive wool coat, sharp cheekbones, hands wrapped around a whiskey that remained untouched."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Rory muttered (mutter)"
dialogueSentences1
tagDensity1
leniency1
rawRatio1
effectiveRatio1
77.8196%