Run: 2026-02-19-01KHTQWSM7B2174QRRF4VYKY7N

Run Details

Duration:
2.2s
Cost:
$0.000063

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 slick pavement, casting jagged shadows across the damp cobblestones. Detective Harlow Quinn’s boots splashed in the puddles as she pressed forward, her breath fogging in the cold air. The scent of damp earth and old wood clung to the air, thick and suffocating. Ahead, Tomás Herrera moved with the quiet efficiency of a man who had spent years navigating unseen paths. His scar ran sharp along his forearm, a reminder of what he’d faced. Quinn’s fingers tightened around the worn leather watch on her wrist. The clockwork ticked, relentless, marking the seconds until she’d either catch him or lose him forever. “You’re not going to let me walk away this time,” Quinn said, her voice low, cutting through the rain’s hiss. Herrera didn’t look back. “You’re not the one who’s running.” The words hung between them, heavy with meaning. Quinn’s jaw tightened. She’d been chasing this lead for weeks, ever since the case in the Tube station beneath Camden—where the Veil Market thrived. The place where things didn’t belong in this world. Ahead, the flickering sign of *The Raven’s Nest* loomed, its green glow barely piercing the gloom. But the real danger wasn’t the neon. It was what lay beneath it. “You’re leading me into something,” Quinn said, her voice sharp. Herrera didn’t answer. He just turned, his stride cutting through the rain like a blade. The alley narrowed, the air growing thicker, charged with something unseen. Quinn followed, her boots sinking into the wet earth, the weight of her gun pressing into her hip. The back door of the bar stood slightly ajar, the hinges groaning in the damp. Quinn pushed it open, the moment she stepped inside, the world tilted. The secret room was hidden behind a bookshelf, its shelves groaning under the weight of old maps and yellowed photographs. The air smelled of ink and something older—something that didn’t belong. Quinn’s pulse quickened as she saw the figure inside, hunched over a table, a bone token glowing faintly in their hand. Herrera’s voice cut through the silence. “You shouldn’t have come.” The words were a warning, not a question. Quinn’s grip on her gun tightened. She stepped forward, the weight of her decision pressing down on her. This wasn’t just a chase. It was a gamble. And she wasn’t sure she had a choice.
total_cost0.00006256

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
87.59% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount403
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
wordCount403
totalAiIsms12
found
0
word"flickered"
count1
1
word"navigating"
count1
2
word"reminder"
count1
3
word"loomed"
count1
4
word"gloom"
count1
5
word"charged"
count1
6
word"weight"
count3
7
word"pulse"
count1
8
word"quickened"
count1
9
word"silence"
count1
highlights
0"flickered"
1"navigating"
2"reminder"
3"loomed"
4"gloom"
5"charged"
6"weight"
7"pulse"
8"quickened"
9"silence"
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
narrationSentences33
matches(empty)
99.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences33
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
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans2
markdownWords6
totalWords401
ratio0.015
matches
0"The Raven’s Nest"
1"The Raven’s Nest"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
30.32% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions21
wordCount376
uniqueNames9
maxNameDensity2.39
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Raven2
Harlow1
Quinn9
Tomás1
Herrera4
Tube1
Camden1
Veil1
Market1
persons
0"Raven"
1"Harlow"
2"Quinn"
3"Tomás"
4"Herrera"
5"Market"
places
0"Tube"
globalScore0.303
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences27
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount401
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
totalParagraphs13
mean30.85
std18.88
cv0.612
sampleLengths
057
158
220
310
441
529
610
744
827
952
106
114
1243
94.63% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences33
matches
0"was hidden"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs59
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences35
ratio0.057
matches
0"She’d been chasing this lead for weeks, ever since the case in the Tube station beneath Camden—where the Veil Market thrived."
1"The air smelled of ink and something older—something that didn’t belong."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount378
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.023809523809523808
lyAdverbCount3
lyAdverbRatio0.007936507936507936
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
mean11.46
std5.88
cv0.513
sampleLengths
023
119
215
318
413
511
616
720
84
96
108
113
1221
139
1416
157
166
1710
183
1912
2011
2118
2215
2312
2420
2511
2621
276
284
298
306
3112
325
334
348
59.05% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.37142857142857144
totalSentences35
uniqueOpeners13
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences33
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount6
totalSentences33
matches
0"His scar ran sharp along"
1"She’d been chasing this lead"
2"It was what lay beneath"
3"He just turned, his stride"
4"She stepped forward, the weight"
5"It was a gamble."
ratio0.182
20.61% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount29
totalSentences33
matches
0"The neon glow of *The"
1"Detective Harlow Quinn’s boots splashed"
2"The scent of damp earth"
3"His scar ran sharp along"
4"Quinn’s fingers tightened around the"
5"The clockwork ticked, relentless, marking"
6"Quinn said, her voice low,"
7"Herrera didn’t look back."
8"The words hung between them,"
9"Quinn’s jaw tightened."
10"She’d been chasing this lead"
11"The place where things didn’t"
12"It was what lay beneath"
13"Quinn said, her voice sharp"
14"Herrera didn’t answer."
15"He just turned, his stride"
16"The alley narrowed, the air"
17"Quinn followed, her boots sinking"
18"The back door of the"
19"Quinn pushed it open, the"
ratio0.879
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences33
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
technicalSentenceCount2
matches
0"Ahead, Tomás Herrera moved with the quiet efficiency of a man who had spent years navigating unseen paths."
1"Quinn followed, her boots sinking into the wet earth, the weight of her gun pressing into her hip."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount2
matches
0"Quinn said, her voice low, cutting through the rain’s hiss"
1"Quinn said, her voice sharp"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences4
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
75.1752%