NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-09-10-01M25DN3T1HH2YARHJJH9CMSBJ
Run Details
Model:
DeepSeek V4.1 Flash (Reasoning, High)
Test:
Bad Writing Habits
Scenario:
Thriller: chase through city streets
Duration:
30.3s
Cost:
$0.003437
Provider:
DeepSeek
Evaluation summary
Score
Evaluator
Details Link
100.00%
Adverbs in dialogue tags
(details)
100.00%
AI-ism adverb frequency
(details)
100.00%
AI-ism character names
(details)
100.00%
AI-ism location names
(details)
87.96%
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)
99.02%
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)
85.13%
Passive voice overuse
(details)
0.00%
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)
69.40%
Sentence opener variety
(details)
62.31%
Adverb-first sentence starts
(details)
100.00%
Pronoun-first sentence starts
(details)
95.51%
Subject-first sentence starts
(details)
46.73%
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)
91.5356%
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
Tomás Herrera vaulted the low
wall at the mouth of the alley and vanished into the black. Quinn didn’t slow.
Her boots skidded on rain-slick
cobbles as she cleared the same wall half a step behind him, landing hard on the balls of her feet.
The alley spat them out
onto Wardour Street, neon bleeding across wet tarmac, and Herrera cut sharp left without looking back. He knew she was there. He’d known for three blocks.
Quinn had been tailing him
for eleven days. He’d never run before. Tonight he ran.
She counted her breath as
she moved, four strides in, two out, the way DS Morris had taught her on the beat in Southwark all those years ago. Morris was dead now. She didn’t think about Morris.
She thought about the medallion
swinging on its chain against Herrera’s collarbone as he ran, the Saint Christopher catching the streetlight every fourth step like a
beacon
she never asked for. ‘Stop.’ Her voice carried over the rain. ‘Police. Stop.’ Herrera didn’t stop. Of course he didn’t stop.
He ducked between two parked
delivery vans, and she heard more than saw him sprint down the narrow service road behind the Indian restaurant that stank of cardamom and grease.
She followed, one hand brushing
the van’s wet flank for balance, the other going to the radio on her shoulder. ‘Control, this is Quinn.
Foot pursuit, Wardour Street heading
north. Suspect male, five ten, dark clothing, olive skin, curled brown hair. Long scar on the left forearm. Suspect
is wanted
for questioning in connection with the Leeds Street incident.’ The radio crackled. ‘Received, Quinn. Do you have backup in the area?’ ‘No,’ she said, and clicked off.
The service road narrowed, gated
on the far side, but the gate hung cockeyed, one hinge sheared. Quinn barrelled through the gap, the metal scraping her shoulder. Ahead, Herrera was already at the end of the lane, silhouetted against the white glare of Camden High Street. He
wasn’t running
away now. He
was running
towards something. That was new. Eighteen years a copper had taught her the difference between a man fleeing and a man heading somewhere. Herrera
was heading
somewhere.
She slowed, just for a
step, just to think. Then she sped up again. Whatever he
was heading
for, she needed to see it.
She’d spent three years trying
to see what was behind the curtain these people kept pulling, three years since Morris’s body had surfaced in the Grand Union Canal with no water in his lungs. The Camden High Street crossing was a smear of red and amber light. Herrera didn’t use it.
He went over the barrier
and through traffic, a courier bike swerving, a black cab leaning on its horn. Quinn followed. A cyclist shouted something at her that she didn’t catch.
She caught the number plate
of the cab for no reason she could justify. On the far side, Herrera turned off the high street into a shuttered row of shops, past a Turkish barber and a boarded-up betting office, until he reached a narrow stairwell sunk into the pavement. Old cast-iron railings. A sign, faded white letters on black, still legible by the light of a single working streetlamp: CAMDEN TOWN STATION. SOUTHERN ENTRANCE. CLOSED FOR REFURBISHMENT. The station was closed.
It had been closed six
years. Everyone in the Met knew it. Quinn had written a memo about it once. Herrera took the steps two at a time and disappeared into the dark. Quinn stopped at the top of the stairwell. Rain dripped from the hem of her jacket onto the top step. The stairwell went down further than the streetlamp reached.
She could hear something from
inside, low and wrong,
not the tin-can echo of an empty station but a hum, an underfloor mechanical hum she couldn’t place
, and beneath it a smell of unfamiliar spice and something older, wet stone and candle wax. Her radio hissed. She thumbed it. ‘Control. Suspect has entered the disused Camden Town south entrance. I’m going in.’ A pause on the line. Then: ‘Quinn. That station’s
been decommissioned
. There’s no lighting, no support. Wait for armed response. That’s an order.’
She turned the radio down
to minimum and started down the steps. Three rules for entering somewhere you shouldn’t. Keep the exit behind you. Don’t touch anything you can’t explain. Assume you’re being watched from the moment you’re in the dark. She’d learned the first two from Morris. She
was still learning
the third. The steps curved and the last of the streetlight fell away. Rainwater pooled on the tiled landing. On the wall, a green-and-white enamel sign, cracked down the middle, still pointing the way it always had. WAY OUT. The arrow pointed up. Quinn went the other way. A glass door stood open ahead. Not broken. Open. The hinges freshly oiled. She touched the frame with the back of one knuckle. Clean. Someone had been here this evening. Someone had swept. Beyond the door, the concourse opened into a wide, high vault of a room she shouldn’t have recognised but did. The tiles
were cracked
and stained, the ticket hall long stripped of its booths, but the shape of it, the arch of the ceiling, was pure, old London Transport. In the middle of the floor was a market. Stalls. Dozens of them. Thin candles in bottles, a brazier of coals throwing orange light across trestle tables. The smell of caramel and iron. Along the walls, tarpaulins had
been staked
out, behind which figures moved in quiet negotiation, voices low enough that Quinn caught only fragments. ‘…three drams for the finger, that’s robbery…’ ‘…not tonight, the moon’s wrong for it…’ ‘…if she’s Met, she’s not with a token, so she’s not here. No token, no eyes…’ The last voice was close. Quinn stepped back into the shadow of the ticket hall and felt her heart beating in the base of her throat. Bone token. No token, no eyes. She’d
heard that phrase
before. Three years ago, in Morris’s notebook, the last entry he’d made before the Grand Union Canal. Bone token. Veil. A figure moved at the base of the concourse. Herrera. He’d shed his jacket,
was speaking
to a woman whose face Quinn couldn’t make out. The medallion caught the brazier light. He
was handing
her something small and pale. Quinn felt for her radio. She was going to call it in. She was going to wait for armed response, like she’d
been told
, and she was going to do the sensible thing. Her fingers touched the cold bone of something in her own coat pocket. She hadn’t put it there. She hadn’t put anything there. And yet there it
was, curved
and dry against her thumb, an old token with a hole drilled through the middle, the kind Morris used to keep on his desk as a paperweight before it went missing from the evidence locker the week he died. Three years. She’d never known what it was for. Now she did. Herrera turned, and in the candlelight his eyes found hers across the whole length of the concourse, and he didn’t look surprised at all. ‘Detective Quinn,’ he said, and his voice carried further than it should have. ‘You’re late.’ Quinn’s thumb closed around the token. Behind her, the glass door she’d come through clicked shut, and the oiled hinges sounded a lot less like hinges and a lot more like a lock.
created_at
"2026-09-10T10:26:14.471Z"
9/10/2026, 10:26:14 AM
model
"deepseek/deepseek-v4.1-flash-20260910"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
807
moderation_latency
(null)
generation_time
30255
tokens_prompt
4484
tokens_completion
6146
native_tokens_prompt
4246
native_tokens_completion
5670
native_tokens_completion_images
(null)
native_tokens_reasoning
3987
native_tokens_cached
4096
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
"stop"
service_tier
(null)
usage
0.003436788
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1789035974-mVBznStuiLEbWOIpgMbq"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1789035974-A6bBO8ccbpd9vXUdKqRb"
upstream_id
"22b03311-f243-46ca-941f-3d7b11550476"
provider_responses
0
endpoint_id
"fd104bc8-535a-4d31-a847-a8e402e86a02"
id
"22b03311-f243-46ca-941f-3d7b11550476"
is_byok
false
latency
437
model_permaslug
"deepseek/deepseek-v4.1-flash-20260910"
provider_name
"DeepSeek"
status
200
total_cost
0.003436788
cache_discount
0.000602112
upstream_inference_cost
0
provider_name
"DeepSeek"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags
1
adverbTagCount
0
adverbTags
(empty)
dialogueSentences
0
tagDensity
1
leniency
1
rawRatio
0
effectiveRatio
0
100.00%
AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount
1246
totalAiIsmAdverbs
0
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)
87.96%
AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount
1246
totalAiIsms
3
found
0
word
"beacon"
count
1
1
word
"echo"
count
1
2
word
"mechanical"
count
1
highlights
0
"beacon"
1
"echo"
2
"mechanical"
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
122
matches
(empty)
100.00%
Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount
0
hedgeCount
0
narrationSentences
122
filterMatches
(empty)
hedgeMatches
(empty)
100.00%
Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences
134
gibberishSentences
0
adjustedGibberishSentences
0
longSentenceCount
0
runOnParagraphCount
0
giantParagraphCount
0
wordSaladCount
0
repetitionLoopCount
0
controlTokenCount
0
repeatedSegmentCount
0
maxSentenceWordsSeen
45
ratio
0
matches
(empty)
100.00%
Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans
0
markdownWords
0
totalWords
1246
ratio
0
matches
(empty)
100.00%
Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions
7
unquotedAttributions
0
matches
(empty)
99.02%
Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions
64
wordCount
1177
uniqueNames
22
maxNameDensity
1.02
worstName
"Quinn"
maxWindowNameDensity
2
worstWindowName
"Herrera"
discoveredNames
Herrera
11
Wardour
2
Street
5
Morris
7
Southwark
1
Saint
1
Christopher
1
Indian
1
Leeds
1
Camden
3
High
2
Grand
2
Union
2
Canal
2
Turkish
1
Met
1
Town
1
London
1
Transport
1
Quinn
12
Suspect
3
Three
3
persons
0
"Herrera"
1
"Morris"
2
"Saint"
3
"Christopher"
4
"Quinn"
5
"Suspect"
places
0
"Wardour"
1
"Street"
2
"Southwark"
3
"Leeds"
4
"Camden"
5
"High"
6
"Grand"
7
"Town"
8
"London"
globalScore
0.99
windowScore
1
100.00%
Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences
67
glossingSentenceCount
0
matches
(empty)
100.00%
"Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches
1
per1kWords
0.803
wordCount
1246
matches
0
"not the tin-can echo of an empty station but a hum, an underfloor mechanical hum she couldn’t place"
100.00%
Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount
1
totalSentences
134
matches
0
"heard that phrase"
100.00%
Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs
45
mean
27.69
std
20.03
cv
0.723
sampleLengths
0
20
1
56
2
15
3
68
4
9
5
58
6
39
7
12
8
6
9
46
10
10
11
3
12
22
13
58
14
62
15
55
16
8
17
24
18
13
19
72
20
6
21
13
22
23
23
12
24
29
25
13
26
46
27
33
28
58
29
47
30
7
31
7
32
16
33
26
34
6
35
24
36
39
37
33
38
13
39
55
40
9
41
3
42
24
43
15
44
33
85.13%
Passive voice overuse
Target: ≤2% passive sentences
passiveCount
7
totalSentences
122
matches
0
"is wanted"
1
"been closed"
2
"been decommissioned"
3
"were cracked"
4
"been staked"
5
"been told"
6
"was, curved"
0.00%
Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount
7
totalVerbs
187
matches
0
"wasn’t running"
1
"was running"
2
"was heading"
3
"was heading"
4
"was still learning"
5
"was speaking"
6
"was handing"
100.00%
Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount
0
semicolonCount
0
flaggedSentences
0
totalSentences
134
ratio
0
matches
(empty)
100.00%
Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount
160
adjectiveStacks
0
stackExamples
(empty)
adverbCount
1
adverbRatio
0.00625
lyAdverbCount
0
lyAdverbRatio
0
100.00%
Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences
134
echoCount
0
echoWords
(empty)
100.00%
Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences
134
mean
9.3
std
8.71
cv
0.936
sampleLengths
0
17
1
3
2
25
3
21
4
5
5
5
6
8
7
4
8
3
9
28
10
4
11
5
12
31
13
7
14
1
15
1
16
3
17
5
18
30
19
20
20
4
21
6
22
11
23
6
24
12
25
3
26
2
27
7
28
6
29
17
30
10
31
19
32
5
33
5
34
3
35
18
36
4
37
9
38
5
39
10
40
34
41
13
42
4
43
19
44
2
45
10
46
14
47
35
48
3
49
17
69.40%
Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats
7
diversityRatio
0.44776119402985076
totalSentences
134
uniqueOpeners
60
62.31%
Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount
2
totalSentences
107
matches
0
"Of course he didn’t stop."
1
"Then she sped up again."
ratio
0.019
100.00%
Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount
32
totalSentences
107
matches
0
"Her boots skidded on rain-slick"
1
"He knew she was there."
2
"He’d known for three blocks."
3
"He’d never run before."
4
"She counted her breath as"
5
"She didn’t think about Morris."
6
"She thought about the medallion"
7
"He ducked between two parked"
8
"She followed, one hand brushing"
9
"He wasn’t running away now."
10
"He was running towards something."
11
"She slowed, just for a"
12
"She’d spent three years trying"
13
"He went over the barrier"
14
"She caught the number plate"
15
"It had been closed six"
16
"She could hear something from"
17
"Her radio hissed."
18
"She thumbed it."
19
"She turned the radio down"
ratio
0.299
95.51%
Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount
78
totalSentences
107
matches
0
"Tomás Herrera vaulted the low"
1
"Quinn didn’t slow."
2
"Her boots skidded on rain-slick"
3
"The alley spat them out"
4
"He knew she was there."
5
"He’d known for three blocks."
6
"Quinn had been tailing him"
7
"He’d never run before."
8
"Tonight he ran."
9
"She counted her breath as"
10
"Morris was dead now."
11
"She didn’t think about Morris."
12
"She thought about the medallion"
13
"Herrera didn’t stop."
14
"He ducked between two parked"
15
"She followed, one hand brushing"
16
"Foot pursuit, Wardour Street heading"
17
"The radio crackled."
18
"The service road narrowed, gated"
19
"Quinn barrelled through the gap,"
ratio
0.729
46.73%
Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount
1
totalSentences
107
matches
0
"Now she did."
ratio
0.009
100.00%
Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences
40
technicalSentenceCount
0
matches
(empty)
100.00%
Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags
1
uselessAdditionCount
0
matches
(empty)
100.00%
Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags
0
91.5356%