Run: 2026-02-19-01KHTRDN6BCG6MX8WP69BV010R

Run Details

Model:
Mistral Large
Test:
Bad Writing Habits
Scenario:
Mystery: examining a crime scene
Duration:
18.5s
Cost:
$0.006960

Evaluation summary

Score Evaluator
Details Link
51.85% Adverbs in dialogue tags (details)
91.15% AI-ism adverb frequency (details)
100.00% AI-ism character names (details)
100.00% AI-ism location names (details)
20.35% AI-ism word frequency (details)
100.00% Cliché density (details)
100.00% Emotion telling (show vs. tell) (details)
100.00% Filter word density (details)
100.00% Gibberish response detection (details)
100.00% Markdown formatting overuse (details)
100.00% Missing dialogue indicators (quotation marks) (details)
61.84% Name drop frequency (details)
100.00% Narrator intent-glossing (details)
100.00% "Not X but Y" pattern overuse (details)
100.00% Overuse of "that" (subordinate clause padding) (details)
100.00% Paragraph length variance (details)
99.00% Passive voice overuse (details)
100.00% Past progressive (was/were + -ing) overuse (details)
100.00% Em-dash & semicolon overuse (details)
100.00% Purple prose (modifier overload) (details)
100.00% Repeated phrase echo (details)
100.00% Sentence length variance (details)
68.08% Sentence opener variety (details)
0.00% Adverb-first sentence starts (details)
66.81% Pronoun-first sentence starts (details)
0.00% Subject-first sentence starts (details)
0.00% Subordinate conjunction sentence starts (details)
100.00% Technical jargon density (details)
100.00% Useless dialogue additions (details)
75.93% Dialogue tag variety (said vs. fancy) (details)
81.1667% Overall

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 abandoned Tube station smelled of damp concrete and rust. Quinn stepped over the police tape, her boots scuffing against the cracked tiles. The beam of her torch cut through the gloom, illuminating the graffiti-scarred walls of the old Camden platform. A uniformed officer stood near the edge of the platform, his face pale under the flickering emergency lights. "Detective Quinn." He nodded, swallowing hard. "Down here." She followed him down the narrow stairs, the air growing thicker with each step. The tunnel yawned ahead, the tracks long since ripped out, replaced by a labyrinth of stalls and shadowed alcoves. The Veil Market. She’d heard whispers about it—places like this didn’t exist on any official map. Her torch caught the glint of something brass near the body. A compass, half-buried under a pile of discarded spell scrolls. She crouched, careful not to disturb the scene, and turned it over in her gloved fingers. The needle spun wildly, then stilled, pointing toward the far wall. "Odd place for a compass," she muttered. "Odd place for a body," came a voice from behind her. DS Carter stepped into the light, his hands shoved deep in his pockets. "Male, mid-thirties. No ID, no wallet. Just that." He jerked his chin toward the compass. Quinn turned it again. The needle didn’t waver. "It’s not pointing north." Carter shrugged. "Maybe it’s broken." "Or maybe it’s pointing at something." She stood, scanning the wall. The bricks were uneven, some darker than others, as if something had pressed against them recently. She ran her fingers along the mortar. Loose. Fresh. Carter exhaled sharply. "You’re not suggesting—" "Someone came through here. Recently." She pressed her palm against the bricks. A seam. A door. "Quinn, this is an abandoned Tube station. There’s nothing behind that wall but earth and pipes." "Then why is the compass pointing at it?" She tapped the face of the device. The sigils etched into the brass glowed faintly under her torchlight. "And why does this look like it was made by someone who doesn’t exist?" Carter’s jaw tightened. "You’re seeing things." "Am I?" She stepped back, letting the torchlight play over the body. The victim’s skin was sallow, his lips tinged blue. No visible wounds. No blood. "Look at him. No signs of struggle. No defensive wounds. He didn’t die here." "Heart attack, maybe. Or an overdose." "Then where’s the syringe? The pills?" She crouched again, tilting the man’s head. His pupils were dilated, but not in the way she’d expect from drugs. They were fixed. Glassy. Like he’d seen something that had stopped his heart. Carter shifted his weight. "You’re reaching." "Am I?" She stood, brushing dust from her knees. "Or are you not reaching enough?" A flicker of movement caught her eye. A scrap of paper tucked under the man’s sleeve. She pulled it free. A single word scrawled in jagged handwriting: *Rift.* Carter leaned in. "What’s that supposed to mean?" Quinn’s fingers tightened around the paper. "It means this wasn’t an accident. It means someone wanted us to find this." She turned the compass over again. The needle pulsed, as if alive. "And it means we’re not alone down here." Carter’s radio crackled. A voice cut through the static: "DS Carter, we’ve got another one. Same condition. Different location." Quinn’s stomach twisted. "Where?" "British Museum. Restricted archives." Her blood ran cold. Eva.
total_cost0.00696

Evaluation details

Result Evaluator Details Meta Data
51.85% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags10
adverbTagCount2
adverbTags
0"She stepped back [back]"
1"She crouched again [again]"
dialogueSentences27
tagDensity0.37
leniency0.741
rawRatio0.2
effectiveRatio0.148
91.15% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount565
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
20.35% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount565
totalAiIsms9
found
0
word"gloom"
count1
1
word"glint"
count1
2
word"scanning"
count1
3
word"etched"
count1
4
word"tinged"
count1
5
word"weight"
count1
6
word"flicker"
count1
7
word"pulsed"
count1
8
word"stomach"
count1
highlights
0"gloom"
1"glint"
2"scanning"
3"etched"
4"tinged"
5"weight"
6"flicker"
7"pulsed"
8"stomach"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"blood ran cold"
count1
highlights
0"blood ran cold"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences56
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences56
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences71
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen20
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords1
totalWords561
ratio0.002
matches
0"Rift."
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
61.84% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions15
wordCount397
uniqueNames6
maxNameDensity1.76
worstName"Carter"
maxWindowNameDensity3
worstWindowName"Carter"
discoveredNames
Tube1
Camden1
Veil1
Market1
Carter7
Quinn4
persons
0"Carter"
1"Quinn"
places(empty)
globalScore0.618
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences32
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount561
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences71
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean21.58
std17.15
cv0.795
sampleLengths
059
18
249
348
47
539
612
75
836
96
1016
1116
1240
136
1440
156
1639
176
1815
1928
208
2140
2219
234
244
255
99.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences56
matches
0"were dilated"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs72
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences71
ratio0.014
matches
0"She’d heard whispers about it—places like this didn’t exist on any official map."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount400
adjectiveStacks0
stackExamples(empty)
adverbCount14
adverbRatio0.035
lyAdverbCount4
lyAdverbRatio0.01
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences71
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences71
mean7.9
std5.33
cv0.675
sampleLengths
010
113
218
318
46
52
614
719
83
913
1011
1110
1216
1311
147
1511
1613
1715
184
194
204
212
223
2311
2416
257
261
271
283
293
3012
312
322
3316
3415
3511
3614
373
383
3912
409
413
422
4314
446
4513
4613
473
481
499
68.08% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4507042253521127
totalSentences71
uniqueOpeners32
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences47
matches(empty)
ratio0
66.81% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount18
totalSentences47
matches
0"He nodded, swallowing hard"
1"She followed him down the"
2"She’d heard whispers about it—places"
3"Her torch caught the glint"
4"She crouched, careful not to"
5"He jerked his chin toward"
6"She stood, scanning the wall"
7"She ran her fingers along"
8"She pressed her palm against"
9"She tapped the face of"
10"She stepped back, letting the"
11"She crouched again, tilting the"
12"His pupils were dilated, but"
13"They were fixed."
14"She stood, brushing dust from"
15"She pulled it free."
16"She turned the compass over"
17"Her blood ran cold."
ratio0.383
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences47
matches
0"The abandoned Tube station smelled"
1"Quinn stepped over the police"
2"The beam of her torch"
3"A uniformed officer stood near"
4"He nodded, swallowing hard"
5"She followed him down the"
6"The tunnel yawned ahead, the"
7"The Veil Market."
8"She’d heard whispers about it—places"
9"Her torch caught the glint"
10"A compass, half-buried under a"
11"She crouched, careful not to"
12"The needle spun wildly, then"
13"DS Carter stepped into the"
14"He jerked his chin toward"
15"Quinn turned it again."
16"The needle didn’t waver."
17"She stood, scanning the wall"
18"The bricks were uneven, some"
19"She ran her fingers along"
ratio0.936
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences47
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences15
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags10
uselessAdditionCount0
matches(empty)
75.93% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount2
fancyTags
0"she muttered (mutter)"
1"She pressed (press)"
dialogueSentences27
tagDensity0.074
leniency0.148
rawRatio1
effectiveRatio0.148
81.1667%