Run: 2026-02-19-01KHTQSY279P3SX7CG4NZK6ZGM

Run Details

Duration:
2.4s
Cost:
$0.000067

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 flickered like a dying ember against the storm’s relentless hiss. Detective Harlow Quinn’s fingers dug into the leather strap of her holster, the weight of her service revolver pressing into her hip. Rain streaked her face like jagged needles, but she didn’t flinch. The suspect had vanished into the labyrinth of Soho’s back alleys, leaving only the scent of damp pavement and something sharper—burnt oil, maybe, or the metallic tang of fear. She turned left, the pavement slick beneath her boots. The streetlights cast long, skeletal shadows, and the distant wail of a siren cut through the rain like a blade. Quinn’s breath came steady, her jaw tight. She had followed this lead too long. Three years of her partner’s life, and now she was chasing ghosts again. A figure stepped into the glow of a flickering streetlamp. A man, broad-shouldered, his dark curls damp as he wiped rain from his face. He didn’t look up as Quinn approached, his voice low, measured. *"You’re late."* Quinn didn’t lower her weapon. *"You’re the one who left the trail thin."* The man—Tomás Herrera—kicked a loose stone into the gutter. *"I didn’t leave a trail. You followed it."* *"You’re selling something at the Market."* *"Yes."* *"And you’re not alone."* A pause. The rain drummed harder. Tomás exhaled through his nose, his scar glinting in the lamplight. *"You’re not supposed to be here."* *"I’m not supposed to be anywhere near what you’re dealing."* *"Then why are you?"* Quinn’s grip tightened on her gun. *"Because I’m a cop. And because I know you’re not just selling potions."* *"And what makes you think that?"* *"Because you’re not selling them in the Nest."* *"Because they’re not for the Nest."* The words hung between them, heavy with implication. Quinn’s eyes flicked to the alley behind them, where the Market’s entrance yawned like a black mouth. Bone tokens glinted in the dim light. She could go back. She could turn around. But the suspect—someone she’d been tracking for days—had led her here. And the Market wasn’t just a place. It was a prison for things that shouldn’t exist. *"You’re not supposed to be here,"* Tomás repeated, his voice sharp. *"But you’re here now."* Quinn didn’t answer. She didn’t have to. The first step down was just a few paces away, the stairs creaking underfoot. The air below was colder, thicker, the scent of damp stone and something older—something that made her skin prickle. Tomás didn’t move. He didn’t need to. *"You’ll be careful,"* he said. *"I’ll be smart."* *"Then don’t."* The words were a blade. Quinn didn’t flinch. She didn’t have to. She took the first step.
total_cost0.00006672

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences18
tagDensity0.111
leniency0.222
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount452
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)
33.63% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount452
totalAiIsms6
found
0
word"flickered"
count1
1
word"weight"
count1
2
word"measured"
count1
3
word"glinting"
count1
4
word"implication"
count1
5
word"flicked"
count1
highlights
0"flickered"
1"weight"
2"measured"
3"glinting"
4"implication"
5"flicked"
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
narrationSentences38
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences38
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences54
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
0.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans18
markdownWords100
totalWords445
ratio0.225
matches
0"\"You’re late.\""
1"\"You’re the one who left the trail thin.\""
2"\"I didn’t leave a trail. You followed it.\""
3"\"You’re selling something at the Market.\""
4"\"Yes.\""
5"\"And you’re not alone.\""
6"\"You’re not supposed to be here.\""
7"\"I’m not supposed to be anywhere near what you’re dealing.\""
8"\"Then why are you?\""
9"\"Because I’m a cop. And because I know you’re not just selling potions.\""
10"\"And what makes you think that?\""
11"\"Because you’re not selling them in the Nest.\""
12"\"Because they’re not for the Nest.\""
13"\"You’re not supposed to be here,\""
14"\"But you’re here now.\""
15"\"You’ll be careful,\""
16"\"I’ll be smart.\""
17"\"Then don’t.\""
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
34.06% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount345
uniqueNames8
maxNameDensity2.32
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Harlow1
Quinn8
Soho1
Tomás4
Herrera1
Market2
persons
0"Raven"
1"Nest"
2"Harlow"
3"Quinn"
4"Tomás"
5"Herrera"
6"Market"
places
0"Soho"
globalScore0.341
windowScore0.667
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
wordCount445
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences54
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean17.12
std20.58
cv1.202
sampleLengths
079
156
235
32
413
517
66
71
84
917
106
1110
124
1319
146
158
166
1767
1815
197
2040
215
223
232
2412
255
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences38
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs54
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount6
semicolonCount0
flaggedSentences4
totalSentences54
ratio0.074
matches
0"The suspect had vanished into the labyrinth of Soho’s back alleys, leaving only the scent of damp pavement and something sharper—burnt oil, maybe, or the metallic tang of fear."
1"The man—Tomás Herrera—kicked a loose stone into the gutter."
2"But the suspect—someone she’d been tracking for days—had led her here."
3"The air below was colder, thicker, the scent of damp stone and something older—something that made her skin prickle."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount352
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.028409090909090908
lyAdverbCount1
lyAdverbRatio0.002840909090909091
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences54
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences54
mean8.24
std5.61
cv0.681
sampleLengths
017
122
211
329
49
520
67
77
813
910
1014
1111
122
135
148
159
168
176
181
194
202
214
2211
236
2410
254
266
2713
286
298
306
318
3217
337
344
354
3611
377
389
3911
404
413
424
4314
4419
453
464
475
483
492
46.30% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.3333333333333333
totalSentences54
uniqueOpeners18
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences36
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences36
matches
0"She turned left, the pavement"
1"She had followed this lead"
2"He didn’t look up as"
3"She could go back."
4"She could turn around."
5"It was a prison for"
6"She didn’t have to."
7"He didn’t need to."
8"She didn’t have to."
9"She took the first step."
ratio0.278
1.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount33
totalSentences36
matches
0"The neon glow of the"
1"Detective Harlow Quinn’s fingers dug"
2"Rain streaked her face like"
3"The suspect had vanished into"
4"She turned left, the pavement"
5"The streetlights cast long, skeletal"
6"Quinn’s breath came steady, her"
7"She had followed this lead"
8"A figure stepped into the"
9"A man, broad-shouldered, his dark"
10"He didn’t look up as"
11"Quinn didn’t lower her weapon."
12"The man—Tomás Herrera—kicked a loose"
13"The rain drummed harder."
14"Tomás exhaled through his nose,"
15"Quinn’s grip tightened on her"
16"The words hung between them,"
17"Quinn’s eyes flicked to the"
18"Bone tokens glinted in the"
19"She could go back."
ratio0.917
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences36
matches(empty)
ratio0
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount1
matches
0"The air below was colder, thicker, the scent of damp stone and something older—something that made her skin prickle."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"Tomás repeated, his voice sharp"
94.44% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"Tomás repeated (repeat)"
dialogueSentences18
tagDensity0.111
leniency0.222
rawRatio0.5
effectiveRatio0.111
73.5111%