Run: 2026-02-19-01KHTYC0TDRP5AQR59GR4CRJBQ

Run Details

Duration:
8.2s
Cost:
$0.002120

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="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</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> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 rain pelted Detective Harlow Quinn's leather jacket as she sprinted down the slick cobblestone street. Her target—a wiry figure in a dark hoodie—darted between parked cars and street lamps, always just three steps ahead. She'd been tracking this suspect for weeks. Something about the recent string of supernatural black market transactions didn't add up. Her lost partner Morris's voice echoed in her head: Always trust your instincts. The suspect suddenly veered left, ducking down a narrow alleyway between two Victorian-era brick buildings. Quinn's worn leather watch caught a glint of streetlight as she checked her pace. Her military-trained legs ate up the distance, muscles coiled like steel springs. A rusted metal door slammed ahead. Quinn heard the distinct sound of multiple locks being manipulated. The alley opened into a forgotten Underground entrance, its green neon sign barely visible through the rain. Camden's abandoned Tube station. She knew the rumors. The underground market. A place where impossible things happened. Her hand instinctively brushed her service weapon. Following an unknown suspect into an unmapped supernatural marketplace went against every professional protocol. But something burning inside her—grief, curiosity, a need to understand Morris's mysterious death—pushed her forward. The heavy door stood ajar. An invitation or a trap. Quinn took a breath. Stepped forward.
total_cost0.00212

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
76.96% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount217
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
53.92% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount217
totalAiIsms2
found
0
word"echoed"
count1
1
word"glint"
count1
highlights
0"echoed"
1"glint"
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
narrationSentences22
matches(empty)
77.92% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences22
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences22
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords211
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
55.21% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions11
wordCount211
uniqueNames7
maxNameDensity1.9
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn4
Morris2
Victorian-era1
Underground1
Tube1
persons
0"Harlow"
1"Quinn"
2"Morris"
places(empty)
globalScore0.552
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences15
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount211
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences22
matches(empty)
92.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs8
mean26.38
std12.45
cv0.472
sampleLengths
035
133
241
333
417
536
610
76
89.31% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences22
matches
0"being manipulated"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs33
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences2
totalSentences22
ratio0.091
matches
0"Her target—a wiry figure in a dark hoodie—darted between parked cars and street lamps, always just three steps ahead."
1"But something burning inside her—grief, curiosity, a need to understand Morris's mysterious death—pushed her forward."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount217
adjectiveStacks0
stackExamples(empty)
adverbCount6
adverbRatio0.027649769585253458
lyAdverbCount3
lyAdverbRatio0.013824884792626729
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences22
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences22
mean9.59
std5.17
cv0.539
sampleLengths
016
119
27
313
413
515
614
712
86
910
1017
114
124
133
146
157
1614
1715
185
195
204
212
83.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.5
totalSentences22
uniqueOpeners11
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences21
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount6
totalSentences21
matches
0"Her target—a wiry figure in"
1"She'd been tracking this suspect"
2"Her lost partner Morris's voice"
3"Her military-trained legs ate up"
4"She knew the rumors."
5"Her hand instinctively brushed her"
ratio0.286
7.62% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount19
totalSentences21
matches
0"The rain pelted Detective Harlow"
1"Her target—a wiry figure in"
2"She'd been tracking this suspect"
3"Something about the recent string"
4"Her lost partner Morris's voice"
5"The suspect suddenly veered left,"
6"Quinn's worn leather watch caught"
7"Her military-trained legs ate up"
8"A rusted metal door slammed"
9"Quinn heard the distinct sound"
10"The alley opened into a"
11"Camden's abandoned Tube station."
12"She knew the rumors."
13"The underground market."
14"A place where impossible things"
15"Her hand instinctively brushed her"
16"The heavy door stood ajar."
17"An invitation or a trap."
18"Quinn took a breath."
ratio0.905
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences21
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences11
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
81.2093%