Run: 2026-02-19-01KHTX6W5DAP17NPBJJ40R4TRQ

Run Details

Duration:
8.6s
Cost:
$0.002258

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 Raven's Nest hummed with its usual low-level murmur when Eva Reyes walked through the door. Soft jazz leaked from hidden speakers, mingling with the clinking of glasses and muted conversations. She hadn't planned on coming here tonight, but something—nostalgia, perhaps, or something darker—had pulled her toward Silas' bar. Her fingers traced the rim of her whiskey glass, condensation beading against her skin. The bar's walls were a patchwork of memories—old maps, faded photographs that seemed to whisper stories of forgotten missions and hidden truths. "Eva?" The voice cut through the background noise. A voice she hadn't heard in years. Rory stood just beside her, delivery bag still slung across her shoulder, looking exactly and nothing like the girl she used to know. Her shoulder-length black hair was pulled back in a tight ponytail, those bright blue eyes scanning Eva with a mix of surprise and something else—caution, maybe. "Christ," Eva muttered. "Of all the bars in London." Rory didn't sit immediately. She stood, weight shifted to one hip, professional and guarded. The years had carved something harder into her posture, something that hadn't existed when they were university friends sharing late-night study sessions and wild dreams. "Want me to get another drink?" Rory's tone was neutral, offering but not pushing. Eva nodded. The silence between them was a living thing, packed with unspoken conversations and abandoned promises.
total_cost0.0022576

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount235
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)
wordCount235
totalAiIsms6
found
0
word"traced"
count1
1
word"whisper"
count1
2
word"scanning"
count1
3
word"weight"
count1
4
word"silence"
count1
5
word"unspoken"
count1
highlights
0"traced"
1"whisper"
2"scanning"
3"weight"
4"silence"
5"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
narrationSentences16
matches(empty)
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences16
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences18
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords228
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
55.66% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions10
wordCount212
uniqueNames5
maxNameDensity1.89
worstName"Eva"
maxWindowNameDensity2
worstWindowName"Eva"
discoveredNames
Raven1
Nest1
Eva4
Reyes1
Rory3
persons
0"Raven"
1"Nest"
2"Eva"
3"Reyes"
4"Rory"
places(empty)
globalScore0.557
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences13
glossingSentenceCount1
matches
0"photographs that seemed to whisper stories of forgotten missions and hidden truths"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount228
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences18
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs9
mean25.33
std17.02
cv0.672
sampleLengths
049
136
21
314
449
59
639
714
817
83.33% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences16
matches
0"was pulled"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs36
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences18
ratio0.167
matches
0"She hadn't planned on coming here tonight, but something—nostalgia, perhaps, or something darker—had pulled her toward Silas' bar."
1"The bar's walls were a patchwork of memories—old maps, faded photographs that seemed to whisper stories of forgotten missions and hidden truths."
2"Her shoulder-length black hair was pulled back in a tight ponytail, those bright blue eyes scanning Eva with a mix of surprise and something else—caution, maybe."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount58
adjectiveStacks0
stackExamples(empty)
adverbCount1
adverbRatio0.017241379310344827
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences18
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences18
mean12.67
std7.86
cv0.621
sampleLengths
016
115
218
314
422
51
67
77
823
926
103
116
124
1310
1425
1514
162
1715
92.59% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.5555555555555556
totalSentences18
uniqueOpeners10
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences14
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences14
matches
0"She hadn't planned on coming"
1"Her fingers traced the rim"
2"Her shoulder-length black hair was"
3"She stood, weight shifted to"
ratio0.286
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount13
totalSentences14
matches
0"The Raven's Nest hummed with"
1"She hadn't planned on coming"
2"Her fingers traced the rim"
3"The bar's walls were a"
4"The voice cut through the"
5"A voice she hadn't heard"
6"Rory stood just beside her,"
7"Her shoulder-length black hair was"
8"Rory didn't sit immediately."
9"She stood, weight shifted to"
10"The years had carved something"
11"Rory's tone was neutral, offering"
12"The silence between them was"
ratio0.929
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences14
matches(empty)
ratio0
0.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences9
technicalSentenceCount2
matches
0"The bar's walls were a patchwork of memories—old maps, faded photographs that seemed to whisper stories of forgotten missions and hidden truths."
1"The years had carved something harder into her posture, something that hadn't existed when they were university friends sharing late-night study sessions and wi…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Eva muttered (mutter)"
dialogueSentences4
tagDensity0.25
leniency0.5
rawRatio1
effectiveRatio0.5
69.5053%