Run: 2026-09-02-01M1H5APXZ9KG65C311NDJ4F7S

Run Details

Duration:
50.9s
Cost:
$0.000682
Provider:
Z.AI

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

AI
The suspect vaulted a recycling bin and didn't look back, which told Quinn everything she needed to know about his fitness and nothing about his destination. "Police!" Her voice bounced off the shutters of a kebab shop. "Stop or I'll add it to your invoice!" He didn't stop. He ran the way people ran when the alternative was custody, all elbows and desperation, trainers slapping wet pavement. She matched him stride for stride, her old leather watch rattling against her wrist, her breath sawing in and out with the discipline of eighteen years chasing men through London's guts. Rain hammered the street. It hadn't been raining when the tail started outside the café in Fitzrovia. Now it sheeted down the shopfronts and turned every sodium lamp into a smeared orange halo. The suspect cut left off Tottenham Court Road, down a service alley she'd have missed at a walking pace. Alley. Cut. Left. She made the turn and nearly lost him. He'd gone over a low wall, and beyond it lay Camden, all noise and Steam, the canal a black ribbon stitching through the dark. He was younger than her. Leaner. But she'd chased down a sprinter in Peckham once, on a gammy knee, because sprinters made choices and detectives read maps. He was heading for the abandoned Tube station. She knew the building. Everybody in Camden knew the shape of it, a dead commuter mouth bricked over in the eighties, its signage stripped, its entrance swallowed by a chain-link fence and a decade of fly-posting. Half-remembered files flickered through her head. DS Morris, three years ago, standing in a doorway not unlike this one. Waiting for me, he'd said. I'm always waiting for me. The suspect tore a section of fence aside like a curtain. It hung back into place behind him. Quinn stopped at the gap. Rain ran down her collar. Her radio sat heavy on her shoulder, and she did not press the transmit button, because what would she say? Suspect entering a condemned station. Requesting backup to search, what, exactly? A hole the council had sealed before some of her colleagues were born? "Right," she told the rain, and went through. The tunnel swallowed the weather. Her torch beam found brick, dead leaves, a staircase descending into dark that smelled of standing water and something else, something sweet and mineral, like rain on hot stone. The stairs went further than any platform should. Her count reached forty and kept going. "Tomás Herrera." She said it aloud, partly to hear a human voice, partly because she'd read his file twice on the way over. Former paramedic. Struck off. The kind of man who patched people up in rooms without signage. "I know it's you. The boots gave you away in the café." Silence answered, and then, from below, a laugh. Short. Almost admiring. "You counted the stairs," a voice said. Warm accent, Seville in every vowel. "Nobody counts the stairs." "Occupational habit." She descended, torch low, free hand free. "Tommy Herrera. Struck off for treating patients the GMC says don't exist. Interesting reading, that tribunal transcript." "Nobody's supposed to read that transcript." "Then don't leave it in the public record." The stairs ended. Her beam swept a corridor of arched brick, older than the Tube itself, older than the bricks had any right to be. Someone had hung lamps along the wall, oil lamps, and their light made the arches breathe. "Where are we, Herrera?" "You followed me. You tell me." Ahead, the corridor opened into a vast chamber, and the chamber was wrong. A market. Stalls of black canvas and bone-white lanterns spread beneath the vaulted dark of what had once been a platform, maybe two. Figures moved between them. She saw a woman weigh something that glowed like a dying ember. She saw a man pay with a token, white and small, that looked carved from a knuckle. Quinn's hand drifted to her cuffs and stopped. Whatever protocol covered this, it lived in no binder she'd ever signed. "Every full moon it moves," Herrera said. He'd stopped ahead of her, standing in lamplight, hands loose at his sides. Olive skin, a curl of dark hair plastered to his forehead by the run. His coat hung open over the medallion at his throat. "Camden this month. Somewhere worse next month. Bone token gets you in, and you don't have one, Detective, so everyone here is already deciding what to do about you." "Then let's not keep them guessing." She stepped forward. "Tomás Herrera, I'm arresting you in connection with the death of Elena Marsh. You do not have to say anything, but it may harm your defence if you fail to mention, when questioned, something you later rely on in court." "You're arresting me here." He said it gently, the way one corrects a child. "In the Veil Market." "Yes." "Where your warrant has all the legal weight of a napkin?" "Where you're currently standing." A ripple moved through the stalls. Conversations died mid-word. The lantern light guttered as one, all of them at once, as if the chamber had inhaled. Herrera's eyes flicked past her shoulder, up the corridor, and something in his face changed from wry to worried. "Detective Quinn." His voice dropped. "I need you to listen faster than you've ever listened. The people you want me for, Elena's death, the bodies in the canal, all of it, I was treating the survivors. That's my crime. Patching up things that got bitten. If you march me out of here in cuffs, you're not arresting a suspect. You're removing the only medic these people trust, on the same night something is hunting the stalls." "Hunting." "That light did not flicker for you." She turned. At the far mouth of the corridor, where she'd entered, the darkness had texture now. It had edges. It came down the stairs without footsteps, a silence walking, and the oil lamps along the walls went out one by one ahead of it like a usher lighting the way in reverse. "Get behind the blood-letter's stall," Herrera said. "Don't look at it. Don't let it see your reflection in anything wet. It's raining, Quinn, you're soaked through." The last lamp died. In the black, she heard the market's crowd exhale at once, a hundred held breaths released, and then her torch caught Herrera's hand closing around her wrist, the scarred forearm, the Saint Christopher at his throat, and the pressure of the dark arriving like cold water closing over her head. "Run," he said. "Rules later."
created_at"2026-09-02T13:35:56.365Z" 9/2/2026, 1:35:56 PM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4003
moderation_latency(null)
generation_time50817
tokens_prompt4484
tokens_completion1648
native_tokens_prompt4200
native_tokens_completion1467
native_tokens_completion_images(null)
native_tokens_reasoning34
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
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usage0.00068175
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user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
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api_type"completions"
id"gen-1788356156-CJfYucRQaTTOpxAgELLE"
upstream_id"20260902213556b2bef7a60b7a4741"
provider_responses
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is_byokfalse
latency4003
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
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data_region"global"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences30
tagDensity0.4
leniency0.8
rawRatio0
effectiveRatio0
95.44% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1096
totalAiIsmAdverbs1
found
0
adverb"gently"
count1
highlights
0"gently"
80.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found
0"Elena"
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
68.07% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1096
totalAiIsms7
found
0
word"flickered"
count1
1
word"silence"
count2
2
word"weight"
count1
3
word"flicked"
count1
4
word"flicker"
count1
5
word"footsteps"
count1
highlights
0"flickered"
1"silence"
2"weight"
3"flicked"
4"flicker"
5"footsteps"
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
narrationSentences77
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences77
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences95
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen71
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1096
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount809
uniqueNames17
maxNameDensity0.49
worstName"Herrera"
maxWindowNameDensity2
worstWindowName"Herrera"
discoveredNames
Quinn3
London1
Fitzrovia1
Tottenham1
Court1
Road1
Camden2
Steam1
Peckham1
Tube2
Morris1
Former1
Warm1
Seville1
Herrera4
Saint1
Christopher1
persons
0"Quinn"
1"Morris"
2"Herrera"
3"Saint"
4"Christopher"
places
0"London"
1"Fitzrovia"
2"Tottenham"
3"Court"
4"Road"
5"Peckham"
6"Seville"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1096
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences95
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean31.31
std23.85
cv0.762
sampleLengths
026
119
253
352
43
559
68
765
818
954
108
1149
1251
1311
1417
1526
166
1753
186
1969
2020
2173
2249
2318
241
2511
264
2745
2876
291
307
3153
3226
3354
345
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences77
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs138
matches
0"was heading"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences95
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount814
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.030712530712530713
lyAdverbCount6
lyAdverbRatio0.007371007371007371
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences95
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences95
mean11.54
std11.13
cv0.964
sampleLengths
026
111
28
33
419
531
64
713
816
919
101
111
121
138
1424
155
161
1721
188
194
2032
216
2213
235
245
2511
267
275
285
2920
305
316
3213
338
345
3529
368
377
3823
392
402
4112
4212
438
441
452
467
476
484
499
94.74% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.6105263157894737
totalSentences95
uniqueOpeners58
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences64
matches(empty)
ratio0
45.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences64
matches
0"Her voice bounced off the"
1"He didn't stop."
2"He ran the way people"
3"She matched him stride for"
4"It hadn't been raining when"
5"She made the turn and"
6"He'd gone over a low"
7"He was younger than her."
8"He was heading for the"
9"She knew the building."
10"I'm always waiting for me."
11"It hung back into place"
12"Her radio sat heavy on"
13"she told the rain, and"
14"Her torch beam found brick,"
15"Her count reached forty and"
16"She said it aloud, partly"
17"She descended, torch low, free"
18"Her beam swept a corridor"
19"She saw a woman weigh"
ratio0.438
45.94% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount53
totalSentences64
matches
0"The suspect vaulted a recycling"
1"Her voice bounced off the"
2"He didn't stop."
3"He ran the way people"
4"She matched him stride for"
5"It hadn't been raining when"
6"The suspect cut left off"
7"She made the turn and"
8"He'd gone over a low"
9"He was younger than her."
10"He was heading for the"
11"She knew the building."
12"Everybody in Camden knew the"
13"DS Morris, three years ago,"
14"I'm always waiting for me."
15"The suspect tore a section"
16"It hung back into place"
17"Quinn stopped at the gap."
18"Rain ran down her collar."
19"Her radio sat heavy on"
ratio0.828
78.13% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences64
matches
0"Now it sheeted down the"
ratio0.016
95.24% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences30
technicalSentenceCount2
matches
0"She matched him stride for stride, her old leather watch rattling against her wrist, her breath sawing in and out with the discipline of eighteen years chasing …"
1"In the black, she heard the market's crowd exhale at once, a hundred held breaths released, and then her torch caught Herrera's hand closing around her wrist, t…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount0
fancyTags(empty)
dialogueSentences30
tagDensity0.233
leniency0.467
rawRatio0
effectiveRatio0
90.0847%