Run: 2026-02-19-01KHTR3N5VPPAD6EK21M3D01SY

Run Details

Duration:
33.1s
Cost:
$0.000923

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 fell in sheets, drenching the streets of Soho. Detective Harlow Quinn pressed her back against the cold brick wall of a narrow alley, her breath coming in sharp bursts. She peered around the corner, eyes narrowed, scanning the slick pavement for any sign of movement. The neon glow of The Raven's Nest flickered in the distance, casting an eerie light on the puddles that formed like small mirrors on the ground. A figure darted past, a blur of dark clothing. Quinn's heart raced. She pushed off the wall, her worn leather watch creaking against her wrist as she sprinted after the suspect. The sound of her footsteps splashed against the pavement, echoing in the empty street. “Stop!” she shouted, her voice cutting through the night. The figure glanced back, eyes wide, and then bolted down a side street. Quinn followed, her sharp jaw set in determination. She had lost too much already; she wouldn’t let this one slip away. The suspect turned sharply, disappearing into the shadows of an alley. Quinn skidded to a halt, water splashing around her boots. She hesitated, the darkness ahead swallowing the figure whole. A flicker of doubt crossed her mind, but she pushed it aside. She had to know what they were hiding. She stepped into the alley, the rain drumming on her coat. The air felt thick, charged with something she couldn’t quite place. Quinn moved cautiously, her instincts honed from years on the force. The alley twisted and turned, leading her deeper into the heart of the city’s underbelly. A sudden noise—a clatter of metal—echoed from ahead. Quinn quickened her pace, her heart pounding in her chest. She rounded a corner and found herself at the entrance of an abandoned Tube station. The sign above read “Camden,” but it looked like it hadn’t seen a train in years. The suspect stood at the edge of the platform, glancing back at her, a smirk playing on their lips. Quinn’s gut twisted. She could feel the danger radiating from the place, but she couldn’t let fear dictate her actions. “Don’t make this harder than it has to be!” she called out, stepping closer. The suspect hesitated, then turned and disappeared into the shadows of the station. Quinn took a deep breath, the damp air filling her lungs. She stepped onto the platform, the sound of her boots echoing in the cavernous space. The flickering lights overhead cast long shadows, and the smell of mildew hung heavy in the air. “Where are you?” she muttered, scanning the darkness. The suspect had vanished, but she could feel the pulse of something alive in the air, something that made the hairs on the back of her neck stand up. A low laugh echoed from the depths of the station. Quinn’s heart raced. She moved forward, her hand instinctively resting on the grip of her service weapon. “Show yourself!” she demanded, her voice steady despite the unease creeping into her bones. The laughter stopped, replaced by a heavy silence. Quinn stepped further into the station, her eyes adjusting to the dim light. She spotted a flicker of movement at the far end, where the tracks disappeared into darkness. “Enough games!” she shouted, her voice bouncing off the walls. “I’m not playing around.” The figure reappeared, stepping into the light. It was a man, his face obscured by a hood. He held something in his hand—a small, bone-like token that glimmered in the low light. “Looking for something?” he taunted, his voice smooth and mocking. Quinn narrowed her eyes. “You know what I’m looking for. Where’s the information on the clique?” He chuckled, the sound echoing in the empty station. “You think you can just waltz in here and demand answers? This isn’t your world, Detective.” She stepped closer, her jaw tightening. “I don’t care about your world. I care about the truth.” He tilted his head, studying her. “The truth? You’re in the Veil Market now. You’ll need a bone token to get in.” Quinn’s mind raced. The Veil Market. She had heard whispers of it, a hidden place where the supernatural mingled with the mundane. It was dangerous, a realm she had never ventured into. But she had no choice. The suspect was slipping away, and she needed answers. “Where do I get one?” she asked, her voice low. The man smirked, stepping back into the shadows. “You’ll have to earn it. Or find someone who can help you.” “Help me?” Quinn scoffed. “I don’t need help.” “Sure you don’t,” he replied, his tone dripping with sarcasm. “But you’re not the first detective to chase shadows. You might want to reconsider.” Quinn clenched her fists, frustration boiling beneath her skin. She had lost her partner three years ago, and the pain of that loss still haunted her. She wouldn’t let this lead slip away. “Tell me how to get in,” she demanded, her voice firm. He shrugged, the bone token glinting in the dim light. “You’ll have to find a way to prove yourself. The Market doesn’t take kindly to outsiders.” Quinn’s mind raced. She could feel the weight of the decision pressing down on her. She could turn back, return to the familiar streets above, or she could plunge into the unknown, risking everything for a chance at the truth. “Fine,” she said, her voice steady. “I’ll do what it takes.” The man’s smile widened, revealing a hint of amusement. “Good luck, Detective. You’ll need it.” With that, he slipped into the shadows, leaving Quinn alone in the echoing silence of the abandoned station. She stood there for a moment, rain-soaked and resolute, the weight of her choice settling in. The Veil Market awaited, a world of secrets and danger. Quinn took a deep breath, steeling herself for what lay ahead. She stepped forward, ready to chase the truth, no matter where it led.
total_cost0.00092295

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount1
adverbTags
0"it looked like [like]"
dialogueSentences23
tagDensity0.522
leniency1
rawRatio0.083
effectiveRatio0.083
89.84% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount984
totalAiIsmAdverbs2
found
0
adverb"sharply"
count1
1
adverb"cautiously"
count1
highlights
0"sharply"
1"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)
wordCount984
totalAiIsms30
found
0
word"scanning"
count2
1
word"flickered"
count1
2
word"raced"
count4
3
word"footsteps"
count1
4
word"echoing"
count4
5
word"flicker"
count2
6
word"charged"
count1
7
word"echoed"
count2
8
word"quickened"
count1
9
word"pounding"
count1
10
word"could feel"
count3
11
word"pulse"
count1
12
word"depths"
count1
13
word"silence"
count2
14
word"glinting"
count1
15
word"weight"
count2
16
word"familiar"
count1
highlights
0"scanning"
1"flickered"
2"raced"
3"footsteps"
4"echoing"
5"flicker"
6"charged"
7"echoed"
8"quickened"
9"pounding"
10"could feel"
11"pulse"
12"depths"
13"silence"
14"glinting"
15"weight"
16"familiar"
0.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches4
maxInWindow4
found
0
label"eyes widened/narrowed"
count1
1
label"clenched jaw/fists"
count1
2
label"hung in the air"
count1
3
label"flicker of emotion"
count1
highlights
0"eyes narrowed"
1"clenched her fists"
2"hung heavy in the air"
3"A flicker of doubt"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences76
matches
0"t in determination"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences76
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences87
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords980
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions12
unquotedAttributions0
matches(empty)
47.09% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount826
uniqueNames8
maxNameDensity2.06
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn17
Raven1
Nest1
Tube1
Veil2
Market2
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Market"
places
0"Soho"
globalScore0.471
windowScore0.833
69.35% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences62
glossingSentenceCount2
matches
0"quite place"
1"looked like it hadn’t seen a train in yea"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount980
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences87
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean29.7
std15.02
cv0.506
sampleLengths
073
145
243
350
448
549
639
727
843
937
1027
1114
1237
1314
1432
1510
1616
1725
1817
1922
2046
2110
2220
238
2424
2533
2611
2726
2840
2911
3015
3134
3234
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences76
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs145
matches
0"were hiding"
1"was slipping"
44.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount1
flaggedSentences3
totalSentences87
ratio0.034
matches
0"She had lost too much already; she wouldn’t let this one slip away."
1"A sudden noise—a clatter of metal—echoed from ahead."
2"He held something in his hand—a small, bone-like token that glimmered in the low light."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount830
adjectiveStacks0
stackExamples(empty)
adverbCount22
adverbRatio0.02650602409638554
lyAdverbCount4
lyAdverbRatio0.004819277108433735
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences87
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences87
mean11.26
std5.18
cv0.46
sampleLengths
010
121
216
326
49
53
619
714
89
913
108
1113
1211
1310
149
1512
168
1711
1811
1911
2015
218
2210
2315
2416
2519
263
2717
2814
2913
3011
3115
3217
338
3429
3510
363
3714
3814
398
4013
4116
4210
434
447
4510
4615
4710
484
4912
45.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.25287356321839083
totalSentences87
uniqueOpeners22
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences75
matches(empty)
ratio0
33.33% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount35
totalSentences75
matches
0"She peered around the corner,"
1"She pushed off the wall,"
2"she shouted, her voice cutting"
3"She had lost too much"
4"She hesitated, the darkness ahead"
5"She had to know what"
6"She stepped into the alley,"
7"She rounded a corner and"
8"She could feel the danger"
9"she called out, stepping closer"
10"She stepped onto the platform,"
11"she muttered, scanning the darkness"
12"She moved forward, her hand"
13"she demanded, her voice steady"
14"She spotted a flicker of"
15"she shouted, her voice bouncing"
16"It was a man, his"
17"He held something in his"
18"he taunted, his voice smooth"
19"He chuckled, the sound echoing"
ratio0.467
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences75
matches
0"The rain fell in sheets,"
1"Detective Harlow Quinn pressed her"
2"She peered around the corner,"
3"The neon glow of The"
4"A figure darted past, a"
5"Quinn's heart raced."
6"She pushed off the wall,"
7"The sound of her footsteps"
8"she shouted, her voice cutting"
9"The figure glanced back, eyes"
10"Quinn followed, her sharp jaw"
11"She had lost too much"
12"The suspect turned sharply, disappearing"
13"Quinn skidded to a halt,"
14"She hesitated, the darkness ahead"
15"A flicker of doubt crossed"
16"She had to know what"
17"She stepped into the alley,"
18"The air felt thick, charged"
19"Quinn moved cautiously, her instincts"
ratio0.973
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences75
matches(empty)
ratio0
91.84% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences42
technicalSentenceCount3
matches
0"The neon glow of The Raven's Nest flickered in the distance, casting an eerie light on the puddles that formed like small mirrors on the ground."
1"The suspect had vanished, but she could feel the pulse of something alive in the air, something that made the hairs on the back of her neck stand up."
2"He held something in his hand—a small, bone-like token that glimmered in the low light."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount8
matches
0"she shouted, her voice cutting through the night"
1"she demanded, her voice steady despite the unease creeping into her bones"
2"she shouted, her voice bouncing off the walls"
3"he taunted, his voice smooth and mocking"
4"she asked, her voice low"
5"he replied, his tone dripping with sarcasm"
6"she demanded, her voice firm"
7"she said, her voice steady"
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags10
fancyCount7
fancyTags
0"she shouted (shout)"
1"she called out (call out)"
2"she muttered (mutter)"
3"she demanded (demand)"
4"she shouted (shout)"
5"he taunted (taunt)"
6"she demanded (demand)"
dialogueSentences23
tagDensity0.435
leniency0.87
rawRatio0.7
effectiveRatio0.609
67.3731%