Run: 2026-02-19-01KHTR3TDM2ADEWSP2AS2SMWE5

Run Details

Duration:
7.9s
Cost:
$0.000356

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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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 Veil Market, nestled in the bowels of an abandoned Tube station beneath Camden, hummed with an eerie energy, a stark contrast to the bustling streets above. Detective Harlow Quinn, her salt-and-pepper hair cropped short, stepped off the rusted ladder, her worn leather watch catching the dim light. Her sharp jaw was set, eyes scanning the market's labyrinthine stalls, each one a treasure trove of the illicit and the otherworldly. She was here on business, not pleasure. A body had been found, dumped like yesterday's news on the market's filthy floor. The victim, a man known only as Whisper, was a regular at the Market, dealing in information as valuable as it was dangerous. His death was a slap in the face of the Market's unwritten rules, and Harlow was here to find out who'd dared to deliver it. Her colleague, Detective Inspector Graham, was already present, his round face pale in the market's sickly glow. "Quinn," he acknowledged her with a nod, "You're late." Harlow ignored the jab. She was never late; she just didn't rush. "What do we have?" she asked, crouching beside the body. Whisper lay on his back, eyes wide open, a look of terror frozen on his face. His throat was slit, the wound clean, the blood already congealing. Graham consulted his notebook. "Victim's name is... was, Albert 'Whisper' Thompson. Forty-seven, no known address, known to frequent the Market. Cause of death is obvious. No sign of struggle, no visible wounds except the... the slice." Harlow's brow furrowed. Something was off. She reached into her pocket, pulling out a pair of latex gloves. She slipped them on, her fingers tracing the edge of the wound. "This isn't a knife wound, Graham. It's too clean, too precise." Graham shrugged. "What else could it be? A scalpel?" Harlow stood up, her gaze sweeping the market. "Something like that, yes. But who carries a scalpel to a place like this?" She turned to a nearby stall, the proprietor a gaunt man with eyes like a raven's. "Ozzy," she greeted him, "What's the word?" Ozzy, the stall's owner, shifted nervously. "Heard it was a Shade, Detective. Clean kill, they say. In and out before anyone could blink." Harlow's eyes narrowed. Shades were creatures of the Veil, the boundary between the human world and the supernatural. They were rare, their presence usually heralded by a supernatural rift. But if a Shade was responsible, why was there no sign of one? No rift, no trace of otherworldly energy. She pulled out her Veil Compass, its needle quivering, pointing not to a rift, but to Whisper's body. She turned back to Graham. "This isn't the work of a Shade, Graham. The wound, the lack of struggle, the absence of a rift... it's too neat, too human." Graham frowned. "But who would do this here? In the Market? They'd have to be mad." Harlow's gaze fell on a stall selling enchanted artifacts. Behind the counter stood Eva Kowalski, Aurora's childhood friend, an occult researcher. She was tucking a strand of curly red hair behind her ear, her round glasses glinting in the market's light. Harlow had met her a few times, knew she was sharp, her knowledge of the supernatural invaluable. Harlow walked over to Eva's stall, Graham trailing behind her. "Eva," she greeted her, "What can you tell me about Whisper's death?" Eva looked up, her green eyes serious. "I heard it was a Shade, but..." she paused, her gaze flicking to the body, "I don't think so. The wound, it's... it's too precise. A Shade would've torn him apart." Harlow nodded. "That's what I thought. But if not a Shade, then who?" Eva bit her lip, thinking. "There are rituals, dark ones, that could create a wound like that. But they'd require rare ingredients, powerful magic..." she trailed off, her gaze falling on a stall selling banned alchemical substances. Harlow followed her gaze. "You think someone here could've done this?" Eva nodded. "It's possible. The Market's a hub of power, both human and supernatural. If someone wanted to cover their tracks, this would be the place to do it." Harlow turned back to the body, her mind racing. If Eva was right, then the killer was here, among them. She scanned the market, her gaze landing on a figure slipping into the shadows. "Graham," she said, "We need to talk to that man over there. The one with the hood." Graham squinted in the direction she was looking. "Which one? There are so many..." Harlow pointed, her voice firm. "The one in the black hood. Now, Graham." They started towards the figure, but he melted into the crowd, disappearing like smoke. Harlow cursed under her breath. They were close, she could feel it. The market was a web, and Whisper's death was the first thread to unravel. As they pushed through the crowd, Harlow's Veil Compass began to spin wildly, its needle pointing not to a rift, but to a stall selling ancient artifacts. She stopped, her heart pounding. This was it. The key to Whisper's death was here, hidden among the relics of the past. She turned to Graham, her eyes determined. "We're close, Graham. We just need to keep digging." And so, they did. The market was a labyrinth, but Harlow was a hound on the scent. She could feel it, the truth, lurking just out of reach. And she wouldn't stop until she found it, until she uncovered the secret buried in the heart of the Veil Market.
total_cost0.0003555

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences20
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
94.58% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount923
totalAiIsmAdverbs1
found
0
adverb"nervously"
count1
highlights
0"nervously"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Thompson"
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)
wordCount923
totalAiIsms21
found
0
word"stark"
count1
1
word"scanning"
count1
2
word"otherworldly"
count2
3
word"whisper"
count7
4
word"furrowed"
count1
5
word"tracing"
count1
6
word"glinting"
count1
7
word"racing"
count1
8
word"scanned"
count1
9
word"could feel"
count2
10
word"unravel"
count1
11
word"pounding"
count1
12
word"determined"
count1
highlights
0"stark"
1"scanning"
2"otherworldly"
3"whisper"
4"furrowed"
5"tracing"
6"glinting"
7"racing"
8"scanned"
9"could feel"
10"unravel"
11"pounding"
12"determined"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences64
matches(empty)
75.89% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences64
filterMatches
0"watch"
hedgeMatches
0"started to"
1"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences76
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords920
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions6
unquotedAttributions0
matches(empty)
28.05% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions56
wordCount656
uniqueNames16
maxNameDensity2.44
worstName"Harlow"
maxWindowNameDensity4
worstWindowName"Harlow"
discoveredNames
Veil5
Market4
Tube1
Camden1
Harlow16
Quinn1
Whisper5
Detective2
Inspector1
Graham8
Ozzy1
Shade1
Compass2
Eva6
Kowalski1
Aurora1
persons
0"Market"
1"Camden"
2"Harlow"
3"Quinn"
4"Whisper"
5"Inspector"
6"Graham"
7"Compass"
8"Eva"
9"Kowalski"
10"Aurora"
places(empty)
globalScore0.28
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences44
glossingSentenceCount0
matches(empty)
0.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords2.174
wordCount920
matches
0"not to a rift, but to Whisper's body"
1"not to a rift, but to a stall selling ancient artifacts"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences76
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean35.38
std18.4
cv0.52
sampleLengths
070
169
226
349
436
541
69
745
823
967
1029
1116
1258
1322
1438
1513
1637
1711
1829
1951
2014
2113
2240
2349
2416
2549
99.78% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences64
matches
0"been found"
93.33% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs125
matches
0"was tucking"
1"was looking"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences76
ratio0.013
matches
0"She was never late; she just didn't rush."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount658
adjectiveStacks0
stackExamples(empty)
adverbCount16
adverbRatio0.0243161094224924
lyAdverbCount8
lyAdverbRatio0.0121580547112462
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences76
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences76
mean12.11
std7.88
cv0.651
sampleLengths
027
121
222
37
414
523
625
717
89
94
108
1110
1216
1311
144
1532
163
173
1812
1912
2011
212
227
238
2430
257
266
2717
283
2915
3011
3113
327
3318
345
3524
362
3714
389
3912
4020
4117
4210
4312
447
4531
462
4711
485
4932
62.28% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.42105263157894735
totalSentences76
uniqueOpeners32
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences59
matches(empty)
ratio0
50.51% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount25
totalSentences59
matches
0"Her sharp jaw was set,"
1"She was here on business,"
2"His death was a slap"
3"Her colleague, Detective Inspector Graham,"
4"he acknowledged her with a"
5"She was never late; she"
6"she asked, crouching beside the"
7"His throat was slit, the"
8"She reached into her pocket,"
9"She slipped them on, her"
10"She turned to a nearby"
11"she greeted him"
12"They were rare, their presence"
13"She pulled out her Veil"
14"She turned back to Graham."
15"She was tucking a strand"
16"she greeted her"
17"she paused, her gaze flicking"
18"she trailed off, her gaze"
19"She scanned the market, her"
ratio0.424
27.80% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences59
matches
0"The Veil Market, nestled in"
1"Detective Harlow Quinn, her salt-and-pepper"
2"Her sharp jaw was set,"
3"She was here on business,"
4"A body had been found,"
5"The victim, a man known"
6"His death was a slap"
7"Her colleague, Detective Inspector Graham,"
8"he acknowledged her with a"
9"Harlow ignored the jab."
10"She was never late; she"
11"she asked, crouching beside the"
12"Whisper lay on his back,"
13"His throat was slit, the"
14"Graham consulted his notebook."
15"Harlow's brow furrowed."
16"Something was off."
17"She reached into her pocket,"
18"She slipped them on, her"
19"Harlow stood up, her gaze"
ratio0.864
84.75% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences59
matches
0"If Eva was right, then"
ratio0.017
66.33% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences28
technicalSentenceCount3
matches
0"She pulled out her Veil Compass, its needle quivering, pointing not to a rift, but to Whisper's body."
1"She scanned the market, her gaze landing on a figure slipping into the shadows."
2"As they pushed through the crowd, Harlow's Veil Compass began to spin wildly, its needle pointing not to a rift, but to a stall selling ancient artifacts."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount3
matches
0"She turned, the proprietor a gaunt man with eyes like a raven's"
1"she paused, her gaze flicking to the body,"
2"she trailed, her gaze falling on a stall selling banned alchemical substances"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"he acknowledged (acknowledge)"
dialogueSentences20
tagDensity0.15
leniency0.3
rawRatio0.333
effectiveRatio0.1
75.4432%