Run: 2026-02-19-01KHTQSAF8PA70R7BWC21NBENH

Run Details

Duration:
2.2s
Cost:
$0.000064

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 neon glow of the Raven’s Nest pulsed like a dying heartbeat against the storm-wracked sky, its green sign flickering as if the rain itself argued with the electricity. Detective Harlow Quinn adjusted the strap of her bag, the leather watch on her wrist ticking away the seconds she’d spent tracking Tomás Herrera down. The man had vanished into the labyrinth of Soho’s backstreets, leaving behind only a trail of wet pavement and the distant, hollow laugh of some unseen creature. She stepped into the alley, her boots sinking into the mud, the scent of damp stone and old wood filling her lungs. The air was thick with the stink of damp and something sharper—burnt oil, maybe, or the metallic tang of blood. Her breath fogged in the cold, and she pressed forward, the weight of her gun in her holster a familiar comfort. Tomás had been slipping something into her bag earlier, something she couldn’t put her finger on, but the way he’d looked at her—like she was already compromised—had sent a chill down her spine. Then she heard it: the scrape of boots on metal. A shadow detached itself from the darkness ahead, a man with a scar running down his forearm, his dark curls damp and tangled. He turned, his warm brown eyes locking onto hers. “You’re late,” he said, not a question. Quinn didn’t lower her gun. “You’re in trouble.” Tomás smirked, the movement too quick, too deliberate. “I’m always in trouble. But you’re the one who’s been following me.” She didn’t answer. Instead, she stepped closer, her voice low, cutting through the rain. “You’re selling something to someone who shouldn’t have it.” A beat of silence. Then, the scrape of a key in a lock. Quinn’s pulse jumped. The alley narrowed, the walls closing in. She could hear the distant hum of voices, the clatter of dishes from the bar beyond, but the real danger was ahead, where the shadows thickened. Tomás turned, his hand already reaching for something hidden in his coat. “You don’t want to go there.” Quinn didn’t hesitate. She lunged. The moment her boot hit the ground, the world tilted. The alley collapsed behind her, the air pressing in like a fist. She stumbled, her grip slipping on the slick stone, but she didn’t fall. Instead, she twisted, her gun still raised, the rain blurring everything. Tomás was already moving, his scarred hand flashing— A hand clamped over her mouth. She thrashed, her fingers clawing at the fabric of his shirt, but it was too late. The world went black.
total_cost0.00006364000000000001

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences5
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount432
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
18.98% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount432
totalAiIsms7
found
0
word"pulsed"
count1
1
word"weight"
count1
2
word"familiar"
count1
3
word"chill"
count1
4
word"down her spine"
count1
5
word"silence"
count1
6
word"pulse"
count1
highlights
0"pulsed"
1"weight"
2"familiar"
3"chill"
4"down her spine"
5"silence"
6"pulse"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"air was thick with"
count1
1
label"sent a shiver through"
count1
highlights
0"The air was thick with"
1"sent a chill down"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences31
matches(empty)
96.77% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences31
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences35
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords429
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
87.03% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions14
wordCount397
uniqueNames7
maxNameDensity1.26
worstName"Tomás"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Harlow1
Quinn4
Tomás5
Herrera1
Soho1
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Tomás"
4"Herrera"
places
0"Soho"
globalScore0.87
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences23
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount429
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences35
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs15
mean28.6
std26.88
cv0.94
sampleLengths
081
196
210
332
47
58
620
723
813
936
1018
115
1254
136
1420
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences31
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs61
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount4
semicolonCount0
flaggedSentences3
totalSentences35
ratio0.086
matches
0"The air was thick with the stink of damp and something sharper—burnt oil, maybe, or the metallic tang of blood."
1"Tomás had been slipping something into her bag earlier, something she couldn’t put her finger on, but the way he’d looked at her—like she was already compromised—had sent a chill down her spine."
2"Tomás was already moving, his scarred hand flashing—"
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount400
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.035
lyAdverbCount1
lyAdverbRatio0.0025
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences35
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences35
mean12.26
std8.44
cv0.689
sampleLengths
029
125
227
322
420
521
633
710
823
99
107
115
123
138
1412
153
1611
179
184
199
203
217
2226
2312
246
253
262
2710
2812
2913
3011
318
326
3316
344
54.29% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.34285714285714286
totalSentences35
uniqueOpeners12
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences30
matches
0"Then she heard it: the"
1"Instead, she stepped closer, her"
2"Then, the scrape of a"
3"Instead, she twisted, her gun"
ratio0.133
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount8
totalSentences30
matches
0"She stepped into the alley,"
1"Her breath fogged in the"
2"He turned, his warm brown"
3"he said, not a question"
4"She didn’t answer."
5"She could hear the distant"
6"She stumbled, her grip slipping"
7"She thrashed, her fingers clawing"
ratio0.267
26.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount26
totalSentences30
matches
0"The neon glow of the"
1"Detective Harlow Quinn adjusted the"
2"The man had vanished into"
3"She stepped into the alley,"
4"The air was thick with"
5"Her breath fogged in the"
6"Tomás had been slipping something"
7"A shadow detached itself from"
8"He turned, his warm brown"
9"he said, not a question"
10"Quinn didn’t lower her gun."
11"Tomás smirked, the movement too"
12"She didn’t answer."
13"A beat of silence."
14"Quinn’s pulse jumped."
15"The alley narrowed, the walls"
16"She could hear the distant"
17"Tomás turned, his hand already"
18"Quinn didn’t hesitate."
19"The moment her boot hit"
ratio0.867
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences30
matches(empty)
ratio0
16.81% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount3
matches
0"The neon glow of the Raven’s Nest pulsed like a dying heartbeat against the storm-wracked sky, its green sign flickering as if the rain itself argued with the e…"
1"Detective Harlow Quinn adjusted the strap of her bag, the leather watch on her wrist ticking away the seconds she’d spent tracking Tomás Herrera down."
2"She stepped into the alley, her boots sinking into the mud, the scent of damp stone and old wood filling her lungs."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount0
fancyTags(empty)
dialogueSentences5
tagDensity0.2
leniency0.4
rawRatio0
effectiveRatio0
82.2403%