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Run: 2026-07-25-01KYCR63QMMBBE1F3XZ755JGMM
Run Details
Model:
Claude Opus 5 (Reasoning)
Test:
Bad Writing Habits
Scenario:
Thriller: chase through city streets
Duration:
1m 4s
Cost:
$0.114835
Provider:
Amazon Bedrock
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
89.05%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
89.05%
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)
97.22%
Missing dialogue indicators (quotation marks)
(details)
100.00%
Name drop frequency
(details)
84.21%
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)
99.05%
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)
81.75%
Sentence opener variety
(details)
100.00%
Adverb-first sentence starts
(details)
73.85%
Pronoun-first sentence starts
(details)
89.81%
Subject-first sentence starts
(details)
48.08%
Subordinate conjunction sentence starts
(details)
100.00%
Technical jargon density
(details)
100.00%
Useless dialogue additions
(details)
100.00%
Dialogue tag variety (said vs. fancy)
(details)
95.0688%
Overall
Model input
System
You are an expert and award-winning novel writer in the dark Thriller genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
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> <proseGuidelines> <styleGuide> - Write in past tense and use British English spelling and grammar - Keep a Flesch reading ease score of 60 - Respect the the Royal Order of Adjectives: The order is: opinion, size, age, shape, color, origin, material, purpose, followed by the noun itself (e.g., "a lovely little old rectangular green French silver whittling knife") - Respect the ablaut reduplication rule (e.g. tick-tock, flip-flop) - Write in active voice - Passive voice: <bad>The book was read by Sarah.</bad> - Active voice: <good>Sarah read the book.</good> - Reduce the use of passive verbs - <bad>For a moment, I was tempted to throw in the towel.</bad> - <good>For a moment, I felt tempted to throw in the towel.</good> - Avoid misplaced modifiers that can cause confusion when starting with "-ing" words: - <bad>Considering going to the store, the empty fridge reflected in Betty's eyes.</bad> - <good>Betty stared into the empty fridge. It was time to go to the store.</good> - Avoid redundant adverbs that state the obvious meaning already contained in the verb: - <bad>She whispered quietly to her mom.</bad> - <good>She whispered to her mom.</good> - Use stronger, more descriptive verbs over weak ones: - <bad>Daniel drove quickly to his mother's house.</bad> - <good>Daniel raced to his mother's house.</good> - Omit adverbs that don't add solid meaning like "extremely", "definitely", "truly", "very", "really": - <bad>The movie was extremely boring.</bad> - <good>The movie was dull.</good> - Use adverbs to replace clunky phrasing when they increase clarity: - <bad>He threw the bags into the corner in a rough manner.</bad> - <good>He threw the bags into the corner roughly.</good> - Avoid making simple thoughts needlessly complex: - <bad>After I woke up in the morning the other day, I went downstairs, turned on the stove, and made myself a very good omelet.</bad> - <good>I cooked a delicious omelet for breakfast yesterday morning.</good> - Never backload sentences by putting the main idea at the end: - <bad>I decided not to wear too many layers because it's really hot outside.</bad> - <good>It's sweltering outside today, so I dressed light.</good> - Omit nonessential details that don't contribute to the core meaning: - <bad>It doesn't matter what kind of coffee I buy, where it's from, or if it's organic or not—I need to have cream because I really don't like how the bitterness makes me feel.</bad> - <good>I add cream to my coffee because the bitter taste makes me feel unwell.</good> - Always follow the "show, don't tell" principle. For instance: - Telling: <bad>Michael was terribly afraid of the dark.</bad> - Showing: <good>Michael tensed as his mother switched off the light and left the room.</good>- Telling: <bad>I walked through the forest. It was already Fall, and I was getting cold.</bad> - Showing: <good>Dry orange leaves crunched under my feet. I pulled my coat's collar up and rubbed my hands together.</good>- Add sensory details (sight, smell, taste, sound, touch) to support the "showing" (but keep an active voice) - <bad>The room was filled with the scent of copper.</bad> - <good>Copper stung my nostrils. Blood. Recent.</good> - Use descriptive language more sporadically. While vivid descriptions are engaging, human writers often use them in bursts rather than consistently throughout a piece. When adding them, make them count! Like when we transition from one location to the next, or someone is reminiscing their past, or explaining a concept/their dream... - Avoid adverbs and clichés and overused/commonly used phrases. Aim for fresh and original descriptions. - Avoid writing all sentences in the typical subject, verb, object structure. Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. Like so: <good>Locked. Seems like someone doesn't want his secrets exposed. I can work with that.</good> - Convey events and story through dialogue. It is important to keep a unique voice for every character and make it consistent. - Write dialogue that reveals characters' personalities, motivations, emotions, and attitudes in an interesting and compelling manner - Leave dialogue unattributed. If needed, only use "he/she said" dialogue tags and convey people's actions or face expressions through their speech. Dialogue always is standalone, never part of a paragraph. Like so: - <bad>"I don't know," Helena said nonchalantly, shrugging her shoulders</bad> - <good>"No idea" "Why not? It was your responsibility"</good> - Avoid boring and mushy dialog and descriptions, have dialogue always continue the action, never stall or include unnecessary fluff. Vary the descriptions to not repeat yourself. Avoid conversations that are just "Let's go" "yes, let's" or "Are you ready?" "Yes I'm ready". Those are not interesting. Think hard about every situtation and word of text before writing dialogue. If it doesn't serve a purpose and it's just people talking about their day, leave it. No one wants to have a normal dinner scene, something needs to happen for it to be in the story. Words are expensive to print, so make sure they count! - Put dialogue on its own paragraph to separate scene and action. - Use body language to reveal hidden feelings and implied accusations- Imply feelings and thoughts, never state them directly - NEVER use indicators of uncertainty like "trying" or "maybe" - NEVER use em-dashes, use commas for asides instead </styleGuide> <voiceGuide> Each character in the story needs to have distinct speech patterns: - Word choice preferences - Sentence length tendencies - Cultural/educational influences - Verbal tics and catchphrases Learn how each person talks and continue in their style, and use their Codex entries as reference. <examples> - <bad>"We need to go now." "Yes, we should leave." "I agree."</bad> <good>"Time's up." "Indeed, our departure is rather overdue." "Whatever, let's bounce."</good> - Power Dynamic Example: <bad> "We need to discuss the contract." "Yes, let's talk about it." "I have concerns." </bad> <good> "A word about the contract." "Of course, Mr. Blackwood. Whatever you need." "The terms seem..." A manicured nail tapped the desk. "Inadequate." "I can explain every-" "Can you?" </good> </examples> </voiceGuide> <dialogueFlow> When writing dialogue, consider that it usually has a goal in mind, which gives it a certain flow. Make dialogue sections also quite snappy in the back and forth, and don't spread the lines out as much. It's good to have details before, after, or as a chunk in-between, but we don't want to have a trail of "dialogue breadcrumbs" spread throughout a conversation. <examples> - Pattern 1 - Question/Deflection/Revelation: <good> "Where were you last night?" "Work. The usual." "Lipstick's an interesting shade for spreadsheets." </good> - Pattern 2 - Statement/Contradiction/Escalation: <good> "Your brother's clean." "Tommy doesn't touch drugs." "I'm holding his tox screen." </good> - Pattern 3 - Observation/Denial/Truth: <good> "That's a new watch." "Birthday gift." "We both know what birthdays mean in this business." </good> - Example - A Simple Coffee Order: <bad> "I'll have a coffee." "What size?" "Large, please." </bad> <good> "Black coffee.""Size?""Large. Been a long night." "That bodega shooting?" "You watch too much news." "My brother owns that store." </good> This short exchange: - Advances plot (reveals connection to crime) - Shows character (cop working late) - Creates tension (unexpected connection) - Sets up future conflict (personal stake) - Example - Dinner Scene: <bad> "Pass the salt." "Here you go." "Thanks." </bad> <good> "Salt?" "Perfect as is. Mother's recipe." "Mother always did prefer... bland things." "Unlike your first wife?" </good> - Example - Office Small Talk: <bad> "Nice weather today." "Yes, very nice." "Good for golf." </bad> <good> "Perfect golf weather." "Shame about your membership." "Temporary suspension. Board meets next week." "I know. I called the vote." </good> </examples> </dialogueFlow> <subtextGuide> - Layer dialogue with hidden meaning: <bad>"I hate you!" she yelled angrily.</bad> <good>"I made your favorite dinner." The burnt pot sat accusingly on the stove.</good> - Create tension through indirect communication: <bad>"Are you cheating on me?"</bad> <good>"Late meeting again?" The lipstick stain on his collar caught the light.</good> <examples> - Example 1 - Unspoken Betrayal: <bad> "Did you tell them about our plans?" "No, I would never betray you." "I don't believe you." </bad> <good> "Funny. Johnson mentioned our expansion plans today." "The market's full of rumors." "Mentioned the exact numbers, actually." The pen in his hand snapped. </good> - Example 2 - Failed Marriage: <bad> "You're never home anymore." "I have to work late." "I miss you." </bad> <good> "Your dinner's in the microwave. Again." "Meetings ran long." "They always do." She folded the same shirt for the third time. </good> - Example 3 - Power Struggle: <bad> "You can't fire me." "I'm the boss." "I'll fight this." </bad> <good> "That's my father's nameplate you're sitting behind." "Was." "The board meeting's on Thursday." </good> </examples> </subtextGuide> <sceneDetail> While writing dialogue makes things more fun, sometimes we need to add detail to not have it be a full on theatre piece. <examples> - Example A (Power Dynamic Scene) <good> "Where's my money?" The ledger snapped shut. "I need more time." "Interesting." He pulled out a familiar gold pocket watch. My mother's. "Time is exactly what you bargained with last month." "That was different-" "Was it?" The watch dangled between us. "Four generations of O'Reillys have wound this every night. Your mother. Your grandmother. Your great-grandmother.Shall we see who winds it next?" </good> - Example B (Action Chase) It's much better to be in the head of the character experiencing it, showing a bit of their though-process, mannerisms and personality: <good> Three rules for surviving a goblin chase in Covent Garden: Don't run straight. Don't look back. Don't let them herd you underground. I broke the first rule at Drury Lane. Rookie mistake. The fruit cart I dodged sailed into the wall behind me. Glass shattered. Someone screamed about insurance. *Tourist season's getting rough*, the scream seemed to say. Londoners adapt fast. "Oi! Market's closed!" The goblin's accent was pure East End. They're evolving. Learning. I spotted the Warren Street tube station sign ahead. *Shit.* There went rule three. </good> - Example C (Crime Scene Investigation) <good> "Greek." Davies snapped photos of the symbols. "No, wait. Reverse Greek." "Someone's been watching too many horror films." I picked up a receipt from the floor. Occult supply shop in Camden. Paid by credit card. *Amateur hour*. "Could be dangerous though," Davies said. "Remember Bristol?" "Bristol was Sanskrit. And actual cultists." I pointed to the nearest symbol. "This genius wrote 'darkness' backwards but used a Sigma instead of an S. It's summoning Instagram followers at best." "Speaking of followers..." Davies pointed to heavy foot traffic in the dust. Multiple sets. All new trainers. *Ah.* "Anyone check local uni paranormal societies?" </good> - Example D (Dialogue-heavy) <good> "Found your card in her wallet." The detective slid it across the table. Worn edges. Folded corner. Three years old at least. "Standard practice. I work missing persons." "Funny thing about missing persons.Eventually they stop being missing. Turn up in the Thames. Under motorways. In pieces." "I don't-" "You found four last year. All breathing." She opened a file. "This would've been your first dead one. If we hadn't found her first." The card felt heavier somehow. </good> </examples> </sceneDetail> <sceneOpenings> KEY RULE: Never open with more than one paragraph of description, no matter how beautiful. Description should be earned through action and dialogue. Instead of opening with setting description, open with: - A character doing something specific - A line of dialogue that raises questions - An unexpected observation - A moment of tension or conflict - Start with a hook that's 1-2 sentences maximum - Follow with a smaller paragraph that provides immediate context - Vary paragraph size from the start to create visual interest </sceneOpenings> </proseGuidelines> Write a chapter based on 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
Messages
Meta
AI
The Saint Christopher medallion gave
him away, a quick silver wink under the streetlamp outside the kebab shop, and Quinn
was already moving
before her brain finished the sentence. "Herrera!" He ran. Of course he ran. Nineteen years of shouting names at backs had taught her that the innocent freeze and the guilty sprint, and Tomás Herrera sprinted like a man who had rehearsed this route in his sleep.
Camden High Street threw itself
at her in fragments. Wet tarmac, orange light smeared across it like spilled paint.
A bus hissing at the
kerb.
A hen party in matching
pink sashes shrieking as she cut through them, one girl spinning, her drink arcing into the gutter. Quinn kept her elbows in, her breathing
measured
, four steps in, four steps out.
She had run the London
Marathon twice on this same discipline.
She could run a paramedic
into the ground. Except Herrera
wasn't running
in straight lines.
He went left at the
bridge, down the ramp beside the lock, and the crowd thinned into puddles and shuttered stalls.
Rain came sideways off the
canal, needling her cheek.
Her radio crackled against her
collarbone. "Control, this is DS Quinn, foot pursuit, male IC3, dark jacket, heading north along Regent's Canal towards Kentish Town."
She said it clean and
flat, no wasted air. "Received. Units, ah, Quinn, you're off-duty as of twenty-two hundred, aren't you?" "Very much off-duty." "Wait for backup." She turned the volume down. Herrera vaulted a low railing.
She followed, and the landing
sent a bright spike up through her right knee, the one that had never quite forgiven her for the Tottenham raid. Fine. Pain was information, nothing more.
She logged it and kept
going. "You're only making this longer!" she shouted. He glanced back.
That was his mistake, and
she filed it with a small cold satisfaction.
His trainers slid on the
wet stone.
He caught himself against a
wall, and in that half-second she gained six metres and saw his face properly for the first time in three weeks: young, olive-skinned, rain flattening his curls to his forehead. Warm brown eyes, wide with something that wasn't fear of arrest. She knew fear of arrest.
She had collected a thousand
varieties. This was different. This was the look of a man late for something. "Go home, Detective!" Spanish accent, softened by a decade of London.
He'd said her name like
a warning, not an insult.
He shoved off the wall
and ran again, cutting up a set of iron stairs into the tangle of streets behind the market.
She took the stairs two
at a time. Her lungs
began to
complain. Forty-one years old and still faster than half the shift, but Herrera was twenty-nine and had adrenaline she couldn't buy. Under the railway arches, the city changed its face. Graffiti layered over graffiti, decades deep. A burnt-out sofa slumped against brickwork. The rain drummed on corrugated hoarding, and somewhere behind it a generator coughed. Quinn's shoes filled with water. She barely registered it. He stopped. Twenty metres ahead, at the mouth of a stairwell she had walked past perhaps two hundred times, Tomás Herrera stopped dead and turned to face her. The stairwell shouldn't have
been open
. She was certain of that. There had been a steel plate over it, tagged and rusted, since before she'd made detective.
Now it stood open like
a mouth. "Hands where I can see them." She slowed to a walk, closing distance, her right hand loose at her hip. No firearm. Never a firearm.
Just a warrant card and
eighteen years of certainty, and lately the certainty had developed a hairline crack. He held his palms out. The scar on his left forearm caught the light, a pale seam running wrist to elbow. "You don't want to come down here." "Funny. I've wanted to come down here for three years." "You don't know what that means." "Then educate me." She took another step. Water ran off her jaw. Her cropped hair
was plastered
to her skull. "Silas' bar. The Raven's Nest. Green sign, back room behind a bookshelf. Four of you meet on Tuesdays and Fridays, and once a month you all vanish and my missing persons numbers go quiet for a fortnight. Explain that. Take your time. I've got all night." "No." Something moved across his face. Pity, she thought, and hated it. "No, you have about forty seconds." He reached into his jacket. She was on the balls of her feet,
weight
forward, ready to take his legs out, and what he produced was not a knife. It was small, pale, and yellowed. A finger bone, drilled through and hung on a leather cord. "Whose is that?" Her voice had gone
very
quiet. "Nobody's. Anymore." He backed towards the stairwell. "There's a girl down there bleeding out from something I can't describe to you, and I am the only person in this city who will touch her. So arrest me tomorrow. Please. Tomorrow I'll come in and confess to whatever you like." "Herrera." "Tomorrow," he said, and went down the steps. Quinn stood in the rain with her heart slamming and her knee singing and the arch dripping around her. Protocol said wait. Protocol said cordon, request Trojan, log the location, wait for the van and the dogs and the men with torches. Protocol was a beautiful thing. She had built a career on it, decorations and commendations, a name spoken with respect in three boroughs. Protocol was also what she had followed the night DS Michael Morris went through a door on Bermondsey Wall and never came out of it. She had waited outside for eleven minutes because that was the correct procedure. When she finally went in, the room was empty, and it had been empty for longer than eleven minutes. The dust said so. Nine years of partnership, and all the paperwork gave her was a coroner's finding of open verdict and a cardboard box of personal effects. Her left hand went to her coat pocket. Past her phone, past the folded receipt, to the small hard thing she had carried every working day since she signed for that box. She drew it out. A finger bone, drilled through, on a cord gone soft with handling. She had shown it to two pathologists and an antiquities specialist. Human, they said. Adult. Old. No help beyond that. She had never known what door it belonged to. "Right," she said, to nobody, to Morris, to the rain. The steps went down further than they should have. Twelve, twenty, thirty, tiles giving way to brick, brick to something older that her fingers didn't like. The rain noise died above her like a switch thrown. Cold air came up to meet her, dry as paper, carrying cinnamon and blood and burnt hair. At the bottom stood a Tube platform that appeared on no map she had ever studied. The tiling spelled out half a station name, the rest gouged away. Lamps hung from the ceiling on chains, and the flames inside them burned green. And it was full. Hundreds of them, packed along the platform, stalls of stacked crates and stretched hide, jars that
pulsed
, birds in cages arguing in what
sounded like Latin
. A woman with too many joints in her fingers weighed grey powder on brass scales.
Somewhere a bell rang three
times, and every head on the platform turned towards it.
Then every head turned towards
Quinn. The noise stopped. Not faded. Stopped, the way a record stops when a hand comes down on it. A figure separated from the crowd. Tall, wrapped in a coat sewn from what
looked like old postal sacks, face hidden
under a wide brim. It came to the foot of the stairs and held out a hand, palm up. Quinn dropped the bone token into it. The figure went still. Bent its head. Sniffed. "This is Morris' token," it said, and its voice came from somewhere behind her, though it hadn't moved. "He owes us a debt. Are you here to pay it?" Down the platform, something
very
large
began to
laugh, and the green lamps went out one by one.
created_at
"2026-07-25T13:42:10.949Z"
7/25/2026, 1:42:10 PM
model
"anthropic/claude-opus-5-20260723"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
5256
moderation_latency
(null)
generation_time
63774
tokens_prompt
4484
tokens_completion
2302
native_tokens_prompt
6517
native_tokens_completion
3290
native_tokens_completion_images
(null)
native_tokens_reasoning
331
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"end_turn"
service_tier
"default"
usage
0.114835
router
(null)
provider_responses
0
endpoint_id
"76cb4608-f48c-483d-8da8-9957fb44244e"
id
"msg_011CdNsaHwycTopRMaaps94v"
is_byok
false
latency
2061
model_permaslug
"anthropic/claude-opus-5-20260723"
provider_name
"Amazon Bedrock"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1784986930-vXUg9ybBKsQOzBlG2mY0"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1784986930-Q4eVMvFCdmEUGz6uB85Z"
upstream_id
"msg_011CdNsaHwycTopRMaaps94v"
total_cost
0.114835
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Amazon Bedrock"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
10
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
23
tagDensity
0.435
leniency
0.87
rawRatio
0
effectiveRatio
0
89.05%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1370
totalAiIsmAdverbs
3
found
0
adverb
"very"
count
3
highlights
0
"very"
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)
89.05%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1370
totalAiIsms
3
found
0
word
"measured"
count
1
1
word
"weight"
count
1
2
word
"pulsed"
count
1
highlights
0
"measured"
1
"weight"
2
"pulsed"
100.00%
Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches
0
maxInWindow
0
found
(empty)
highlights
(empty)
100.00%
Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells
0
narrationSentences
113
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
2
narrationSentences
113
filterMatches
(empty)
hedgeMatches
0
"began to"
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
126
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
46
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1370
ratio
0
matches
(empty)
97.22%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
9
unquotedAttributions
1
matches
0
"Human, they said."
100.00%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
35
wordCount
1174
uniqueNames
20
maxNameDensity
0.51
worstName
"Quinn"
maxWindowNameDensity
2
worstWindowName
"Protocol"
discoveredNames
Saint
1
Christopher
1
Quinn
6
Tomás
2
Herrera
5
High
1
Street
1
London
2
Marathon
1
Tottenham
1
Water
1
Pity
1
Trojan
1
Michael
1
Morris
2
Bermondsey
1
Wall
1
Tube
1
Latin
1
Protocol
4
persons
0
"Saint"
1
"Christopher"
2
"Quinn"
3
"Tomás"
4
"Herrera"
5
"Water"
6
"Trojan"
7
"Michael"
8
"Morris"
9
"Protocol"
places
0
"High"
1
"Street"
2
"London"
3
"Tottenham"
globalScore
1
windowScore
1
84.21%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
76
glossingSentenceCount
2
matches
0
"sounded like Latin"
1
"looked like old postal sacks, face hidden"
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
0
per1kWords
0
wordCount
1370
matches
(empty)
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
0
totalSentences
126
matches
(empty)
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
51
mean
26.86
std
23.32
cv
0.868
sampleLengths
0
29
1
1
2
39
3
80
4
7
5
36
6
28
7
12
8
3
9
3
10
5
11
43
12
7
13
93
14
3
15
18
16
56
17
43
18
2
19
53
20
7
21
43
22
21
23
7
24
10
25
6
26
66
27
18
28
5
29
41
30
9
31
49
32
1
33
8
34
19
35
46
36
85
37
32
38
16
39
29
40
10
41
53
42
42
43
60
44
6
45
18
46
40
47
7
48
8
49
29
99.05%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
2
totalSentences
113
matches
0
"been open"
1
"was plastered"
100.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
2
totalVerbs
207
matches
0
"was already moving"
1
"wasn't running"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
126
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
1179
adjectiveStacks
0
stackExamples
(empty)
adverbCount
31
adverbRatio
0.026293469041560644
lyAdverbCount
4
lyAdverbRatio
0.0033927056827820186
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
126
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
126
mean
10.87
std
8.6
cv
0.791
sampleLengths
0
29
1
1
2
2
3
4
4
33
5
9
6
10
7
6
8
22
9
14
10
11
11
8
12
7
13
21
14
9
15
6
16
28
17
12
18
3
19
3
20
5
21
5
22
26
23
1
24
5
25
6
26
7
27
3
28
13
29
7
30
35
31
11
32
5
33
6
34
3
35
10
36
3
37
8
38
10
39
23
40
8
41
5
42
20
43
9
44
6
45
6
46
13
47
5
48
4
49
2
81.75%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
7
diversityRatio
0.5238095238095238
totalSentences
126
uniqueOpeners
66
100.00%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
4
totalSentences
104
matches
0
"Of course he ran."
1
"Just a warrant card and"
2
"Somewhere a bell rang three"
3
"Then every head turned towards"
ratio
0.038
73.85%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
38
totalSentences
104
matches
0
"She had run the London"
1
"She could run a paramedic"
2
"He went left at the"
3
"Her radio crackled against her"
4
"She said it clean and"
5
"She turned the volume down."
6
"She followed, and the landing"
7
"She logged it and kept"
8
"He glanced back."
9
"His trainers slid on the"
10
"He caught himself against a"
11
"She knew fear of arrest."
12
"She had collected a thousand"
13
"He'd said her name like"
14
"He shoved off the wall"
15
"She took the stairs two"
16
"Her lungs began to complain."
17
"She barely registered it."
18
"She was certain of that."
19
"She slowed to a walk,"
ratio
0.365
89.81%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
77
totalSentences
104
matches
0
"The Saint Christopher medallion gave"
1
"Camden High Street threw itself"
2
"A bus hissing at the"
3
"A hen party in matching"
4
"Quinn kept her elbows in,"
5
"She had run the London"
6
"She could run a paramedic"
7
"He went left at the"
8
"Rain came sideways off the"
9
"Her radio crackled against her"
10
"She said it clean and"
11
"She turned the volume down."
12
"Herrera vaulted a low railing."
13
"She followed, and the landing"
14
"Pain was information, nothing more."
15
"She logged it and kept"
16
"He glanced back."
17
"That was his mistake, and"
18
"His trainers slid on the"
19
"He caught himself against a"
ratio
0.74
48.08%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
1
totalSentences
104
matches
0
"Now it stood open like"
ratio
0.01
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
45
technicalSentenceCount
2
matches
0
"A hen party in matching pink sashes shrieking as she cut through them, one girl spinning, her drink arcing into the gutter."
1
"Quinn stood in the rain with her heart slamming and her knee singing and the arch dripping around her."
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
10
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
5
fancyCount
1
fancyTags
0
"she shouted (shout)"
dialogueSentences
23
tagDensity
0.217
leniency
0.435
rawRatio
0.2
effectiveRatio
0.087
95.0688%