Run: 2026-02-19-01KHTYX14SHSZWY5HM42Q8FMTA

Run Details

Duration:
8.9s
Cost:
$0.002316

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, each droplet a sharp reminder of the suspect slipping just ahead. Her boots splashed through puddles on the slick Camden Street, the city's sodium lights blurring into streaks of orange and yellow. "Stop! Metropolitan Police!" Her shout dissolved into the night's wet cacophony. The suspect—a lanky figure in a dark coat—darted between parked cars and disappeared down a narrow alleyway. Quinn's breath caught in her throat. Eighteen years on the force, and she knew better than to lose visual contact. She rounded the corner, hand instinctively brushing her holster. The alley narrowed, brick walls glistening with rainwater. Graffiti and shadows merged into a disorienting landscape. Her quarry's footsteps echoed against the tight corridor, then suddenly stopped. A rusted metal grate sat slightly ajar at the alley's end. Underground. Quinn approached cautiously. The grate looked ancient, its surface etched with strange symbols she couldn't quite make out. Something about its placement felt deliberate, almost staged. Her gut—honed by years of investigation—warned her this wasn't a typical chase. She lifted the grate. Darkness yawned beneath, punctuated by faint, distant sounds. Voices. Movement. Her mind flickered to DS Morris. Three years since his unexplained disappearance during another investigation that felt just like this—promising, then suddenly impossible to explain. One step. Then another. The underground swallowed her.
total_cost0.002316

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
11.50% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount226
totalAiIsmAdverbs4
found
0
adverb"suddenly"
count2
1
adverb"slightly"
count1
2
adverb"cautiously"
count1
highlights
0"suddenly"
1"slightly"
2"cautiously"
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount226
totalAiIsms7
found
0
word"reminder"
count1
1
word"cacophony"
count1
2
word"glistening"
count1
3
word"footsteps"
count1
4
word"echoed"
count1
5
word"etched"
count1
6
word"flickered"
count1
highlights
0"reminder"
1"cacophony"
2"glistening"
3"footsteps"
4"echoed"
5"etched"
6"flickered"
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
narrationSentences25
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences25
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences26
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
totalWords221
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
81.19% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions8
wordCount218
uniqueNames6
maxNameDensity1.38
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn3
Camden1
Street1
Morris1
persons
0"Harlow"
1"Quinn"
2"Morris"
places
0"Camden"
1"Street"
globalScore0.812
windowScore1
2.94% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences17
glossingSentenceCount1
matches
0"quite make out"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount221
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences26
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs10
mean22.1
std15.77
cv0.714
sampleLengths
040
13
245
336
412
538
614
725
84
94
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences25
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs35
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences3
totalSentences26
ratio0.115
matches
0"The suspect—a lanky figure in a dark coat—darted between parked cars and disappeared down a narrow alleyway."
1"Her gut—honed by years of investigation—warned her this wasn't a typical chase."
2"Three years since his unexplained disappearance during another investigation that felt just like this—promising, then suddenly impossible to explain."
85.90% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount223
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.053811659192825115
lyAdverbCount5
lyAdverbRatio0.02242152466367713
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences26
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences26
mean8.5
std5.93
cv0.698
sampleLengths
019
121
23
38
417
56
614
79
88
98
1011
1111
121
133
1415
158
1612
174
188
191
201
216
2219
232
242
254
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.6153846153846154
totalSentences26
uniqueOpeners16
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences20
matches(empty)
ratio0
80.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences20
matches
0"Her boots splashed through puddles"
1"Her shout dissolved into the"
2"She rounded the corner, hand"
3"Her quarry's footsteps echoed against"
4"Her gut—honed by years of"
5"She lifted the grate."
6"Her mind flickered to DS"
ratio0.35
10.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount18
totalSentences20
matches
0"The rain pelted Detective Harlow"
1"Her boots splashed through puddles"
2"Her shout dissolved into the"
3"The suspect—a lanky figure in"
4"Quinn's breath caught in her"
5"She rounded the corner, hand"
6"The alley narrowed, brick walls"
7"Graffiti and shadows merged into"
8"Her quarry's footsteps echoed against"
9"A rusted metal grate sat"
10"Quinn approached cautiously."
11"The grate looked ancient, its"
12"Something about its placement felt"
13"Her gut—honed by years of"
14"She lifted the grate."
15"Darkness yawned beneath, punctuated by"
16"Her mind flickered to DS"
17"The underground swallowed her."
ratio0.9
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences20
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences9
technicalSentenceCount1
matches
0"Three years since his unexplained disappearance during another investigation that felt just like this—promising, then suddenly impossible to explain."
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
74.5009%