Run: 2026-02-19-01KHTRDFTYTRX1WSSJQFT09626

Run Details

Duration:
11.4s
Cost:
$0.005072

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 came down in sheets, turning the pavement into a slick mirror that fractured the neon glow of Soho’s nightlife. Harlow Quinn’s boots splashed through puddles, her breath sharp in the cold air. The suspect—lean, fast, a shadow darting ahead—ducked into an alley. She followed, her leather jacket creaking as she pivoted around a dumpster. "Police! Stop right there!" Her voice cut through the drumming rain, but the figure didn’t slow. Instead, he vaulted over a low fence, landing hard on the other side. Quinn cursed, hauling herself after him. Her wrist stung where the worn leather of her watch strap dug in. The alley spilled into a wider street, the suspect already halfway across. A car horn blared as he weaved between headlights. Quinn’s pulse hammered in her throat. She wasn’t losing him. Not again. She sprinted, her boots slapping wet concrete. The suspect glanced back, eyes wide—then vanished down a set of stairs leading underground. The sign above read *Camden Tube Station (Closed)*. Quinn didn’t hesitate. She took the steps two at a time, her shoulder brushing the graffiti-scarred wall. The air below was thick with the scent of damp and something else—copper, maybe, or old magic. The suspect stood at the bottom, breathing hard, a bone-white token clutched in his hand. He turned, smirking, and pressed it into a crack in the wall. A seam split open, revealing a dimly lit tunnel. Quinn’s fingers twitched toward her holster. "You’re not going anywhere." The suspect’s smirk widened. "You sure about that, Detective?" He stepped through the gap, the wall sealing behind him with a whisper of stone. She stared at the blank wall. The rain still drummed above, distant now. Her radio crackled—dispatch, asking for her location. She ignored it. The token’s imprint lingered in the damp air, a ghostly invitation. Quinn exhaled, her breath fogging in the cold. She knew the stories. Knew the Veil Market wasn’t just some urban legend. But Morris would’ve followed. Morris would’ve gone in guns blazing. She pressed her palm against the wall. The stone gave way, just enough to let her slip through. The tunnel beyond swallowed her whole.
total_cost0.005072

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences3
tagDensity0.667
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount366
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)
59.02% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount366
totalAiIsms3
found
0
word"fractured"
count1
1
word"pulse"
count1
2
word"whisper"
count1
highlights
0"fractured"
1"pulse"
2"whisper"
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
filterCount1
hedgeCount0
narrationSentences38
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences39
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords4
totalWords359
ratio0.011
matches
0"Camden Tube Station (Closed)"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
63.29% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions13
wordCount346
uniqueNames7
maxNameDensity1.73
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Soho1
Quinn6
Tube1
Station1
Veil1
Market1
Morris2
persons
0"Quinn"
1"Morris"
places
0"Soho"
globalScore0.633
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences31
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount359
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences39
matches(empty)
67.85% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs10
mean35.9
std13.91
cv0.387
sampleLengths
056
148
233
346
453
510
624
734
831
924
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences38
matches(empty)
87.01% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs59
matches
0"wasn’t losing"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount5
semicolonCount0
flaggedSentences4
totalSentences39
ratio0.103
matches
0"The suspect—lean, fast, a shadow darting ahead—ducked into an alley."
1"The suspect glanced back, eyes wide—then vanished down a set of stairs leading underground."
2"The air below was thick with the scent of damp and something else—copper, maybe, or old magic."
3"Her radio crackled—dispatch, asking for her location."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount353
adjectiveStacks0
stackExamples(empty)
adverbCount12
adverbRatio0.0339943342776204
lyAdverbCount2
lyAdverbRatio0.0056657223796034
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences39
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences39
mean9.21
std4.71
cv0.511
sampleLengths
021
113
210
312
416
513
66
713
812
99
106
114
122
137
1414
158
163
1714
1817
1915
2012
219
226
234
244
2520
266
277
287
293
3011
318
324
339
344
356
367
3711
386
52.14% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.358974358974359
totalSentences39
uniqueOpeners14
90.09% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences37
matches
0"Instead, he vaulted over a"
ratio0.027
79.46% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount13
totalSentences37
matches
0"She followed, her leather jacket"
1"Her voice cut through the"
2"Her wrist stung where the"
3"She wasn’t losing him."
4"She sprinted, her boots slapping"
5"She took the steps two"
6"He turned, smirking, and pressed"
7"He stepped through the gap,"
8"She stared at the blank"
9"Her radio crackled—dispatch, asking for"
10"She ignored it."
11"She knew the stories."
12"She pressed her palm against"
ratio0.351
0.54% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount34
totalSentences37
matches
0"The rain came down in"
1"Harlow Quinn’s boots splashed through"
2"The suspect—lean, fast, a shadow"
3"She followed, her leather jacket"
4"Her voice cut through the"
5"Quinn cursed, hauling herself after"
6"Her wrist stung where the"
7"The alley spilled into a"
8"A car horn blared as"
9"Quinn’s pulse hammered in her"
10"She wasn’t losing him."
11"She sprinted, her boots slapping"
12"The suspect glanced back, eyes"
13"The sign above read *Camden"
14"Quinn didn’t hesitate."
15"She took the steps two"
16"The air below was thick"
17"The suspect stood at the"
18"He turned, smirking, and pressed"
19"A seam split open, revealing"
ratio0.919
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences37
matches(empty)
ratio0
91.84% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences14
technicalSentenceCount1
matches
0"The rain came down in sheets, turning the pavement into a slick mirror that fractured the neon glow of Soho’s nightlife."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"He stepped, the wall sealing behind him with a whisper of stone"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
79.7076%