Run: 2026-02-19-01KHTX629EM36GYAH83G49CW97

Run Details

Duration:
9.4s
Cost:
$0.002220

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 pelted Detective Harlow Quinn's leather jacket, each droplet a staccato rhythm against the slick pavement. Her target—a lean figure in a charcoal hoodie—darted between parked cars and street lamps, always just ten feet ahead. She'd been tracking this suspect for three blocks now. Something about his movement suggested more than a typical street criminal. Every turn felt calculated, like he was herding her somewhere specific. "Not this time," Quinn muttered. Her worn leather watch caught a streetlight's glint. Eighteen years on the force had sharpened her instincts. This chase felt different. Familiar, yet entirely wrong. The suspect ducked suddenly, sliding down a set of crumbling concrete steps Quinn hadn't noticed before. An unmarked entrance to what looked like an abandoned Underground tunnel. Her breath caught. The muscles along her sharp jawline tensed. Another step. Another calculated move. The tunnel swallowed the suspect. Darkness consumed him completely. Quinn hesitated. Her training screamed caution. Her curiosity demanded action. Underground. Below Camden. Where the unexpected lived. She descended. The steps were slick with moisture, each step requiring deliberate placement. The darkness wasn't complete—strange emerald phosphorescence began to illuminate strange markings on the tunnel walls. Symbols. Ancient. Unfamiliar. Something supernatural whispered at the edges of her perception. Just like the case that took Morris three years ago.
total_cost0.00222

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences1
tagDensity1
leniency1
rawRatio0
effectiveRatio0
54.13% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount218
totalAiIsmAdverbs2
found
0
adverb"suddenly"
count1
1
adverb"completely"
count1
highlights
0"suddenly"
1"completely"
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)
8.26% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount218
totalAiIsms4
found
0
word"calculated"
count2
1
word"glint"
count1
2
word"familiar"
count1
highlights
0"calculated"
1"glint"
2"familiar"
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
narrationSentences32
matches(empty)
53.57% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences32
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences32
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen21
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords215
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
55.66% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions10
wordCount212
uniqueNames6
maxNameDensity1.89
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Detective1
Harlow1
Quinn4
Underground2
Camden1
Morris1
persons
0"Harlow"
1"Quinn"
2"Morris"
places(empty)
globalScore0.557
windowScore1
0.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences14
glossingSentenceCount1
matches
0"looked like an abandoned Underground tunn"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount215
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences32
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs14
mean15.36
std11.07
cv0.721
sampleLengths
036
131
25
325
427
510
65
79
810
97
102
1129
129
1310
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences32
matches(empty)
3.92% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs34
matches
0"was herding"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences32
ratio0.063
matches
0"Her target—a lean figure in a charcoal hoodie—darted between parked cars and street lamps, always just ten feet ahead."
1"The darkness wasn't complete—strange emerald phosphorescence began to illuminate strange markings on the tunnel walls."
98.37% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount215
adjectiveStacks0
stackExamples(empty)
adverbCount9
adverbRatio0.04186046511627907
lyAdverbCount3
lyAdverbRatio0.013953488372093023
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences32
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences32
mean6.72
std5.03
cv0.749
sampleLengths
017
119
29
311
411
55
68
79
84
94
1016
1111
123
137
142
153
165
174
182
194
204
211
222
234
242
2511
2615
271
281
291
309
3110
90.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.625
totalSentences32
uniqueOpeners20
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences23
matches
0"Just like the case that"
ratio0.043
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount6
totalSentences23
matches
0"Her target—a lean figure in"
1"She'd been tracking this suspect"
2"Her worn leather watch caught"
3"Her breath caught."
4"Her training screamed caution."
5"Her curiosity demanded action."
ratio0.261
46.96% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount19
totalSentences23
matches
0"The rain pelted Detective Harlow"
1"Her target—a lean figure in"
2"She'd been tracking this suspect"
3"Something about his movement suggested"
4"Every turn felt calculated, like"
5"Her worn leather watch caught"
6"This chase felt different."
7"The suspect ducked suddenly, sliding"
8"An unmarked entrance to what"
9"Her breath caught."
10"The muscles along her sharp"
11"Another calculated move."
12"The tunnel swallowed the suspect."
13"Darkness consumed him completely."
14"Her training screamed caution."
15"Her curiosity demanded action."
16"The steps were slick with"
17"The darkness wasn't complete—strange emerald"
18"Something supernatural whispered at the"
ratio0.826
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences23
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences9
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"Quinn muttered (mutter)"
dialogueSentences1
tagDensity1
leniency1
rawRatio1
effectiveRatio1
73.7164%