Run: 2026-02-19-01KHTRA3PQJPJ3ZVPSJB77758R

Run Details

Duration:
33.6s
Cost:
$0.017462
Provider:
Cohere

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
The Veil Market bustled with a throng of otherworldly creatures, each intent on their shadowy business. Amidst this supernatural chaos, Detective Harlow Quinn stepped across a threshold, leaving the mundane world behind. She entered an abandoned Tube station beneath Camden, its brick walls and rusted tracks now a hub of clandestine activity. Every step echoed on the platform as she descended, a carved bone token levitating before her, granting her passage through the invisible barrier. Harlow's eyes, sharp as her namesake, scanned the market stalls—a reptile-like creature selling bottled dreams, a gnome-like being offering ancient scrolls, and a shimmering portal in the corner whisking buyers to their secret destinations. She spotted her target, a tall, bearded man, and approached, her detective's instinct on high alert. 'DS Quinn, good of you to come. Though this ain't exactly your scene, is it?' DI Beaumont, her colleague, greeted her with a smirk. His gruff voice cut through the hum of merchant cries. It was his sense of humour she had to deal with the most, but at least he was thorough. 'The call mentioned a homicide, but I don't see any tape,' Harlow noted, her eyes narrowing at the lack of crime scene protocol. Beaumont chuckled, his belly shaking. 'Ah, the paperwork-lovers won't find this place on any map. Old rules don't apply here, lass. Now, this way, the murder's behind that curtain.' Harlow followed him, her heels clicking on the concrete. 'And the victim?' 'Male, early forties. Stabbed with some ritual blade, still embedded in the heart. Nasty stuff. But, as you'll see, the point of interest is him being in this underbelly. Morts can't pinpoint why this fella's here. Maybe you'll sniff out a connection.' 'A murder with no real leads? Sounds like a challenge, DI Beaumont.' Harlow's face remained stoic, but a spark of determination glinted in her eyes. She stepped past the curtain, expecting death, blood, and tragedy. But the vision of Eva Kowalski sobbing over a body on the table took her breath away. 'Jesus.' Harlow's hand shot to her mouth, the empathy behind her words barely masking the initial shock. 'I-I'm sorry… I shouldn't…' Eva's voice trembled as she stood and turned to Harlow, wiping her eyes with the back of her sleeve, her face a freckled mask of grief. 'It's just… All I wanted was to buy some banishing herbs. And then… there he was…' Harlow pulled herself together and stepped closer, her hand inching towards her worn leather watch, a nervous habit from years on the force. 'What's your relationship with the victim?' Eva shook her head, her curly red hair tumbling over her round glasses. 'I… I don't know. I only saw him once before. He sells rare books at the British Museum. So dedicated. We never spoke but...' She gestured to the body, the story unfinished. 'But you recognised him. He sold you something?' Harlow probed, her detective's mind clicking into gear. Eva nodded, tucking her hair behind her left ear. 'A parchment for warding. I looked for some in the restricted archives, but they were out of stock, and you can't just order them on Amazon. So, when I saw him here, I thought...' 'You followed him from the museum?' The cogs of suspicion began to turn in Harlow's mind. 'Well, sort of. The market moves every full moon. I had to find him here. It's not like he's on Google Maps!' Eva’s initial grief was giving way to flustered panic, a red blotching across her pale cheeks. 'Calm down. When did you last see the victim?' Harlow's voice was firm, disarming the girl's panic with professional ease. 'In the museum shop two days ago. He was always so helpful. Ordering hard-to-find tomes, taking time to chat about their provenance—' 'Did he seem worried or followed?' Harlow pressed. 'N-not that I noticed. He just packed up, saying he was going on a trip and that I should visit the Veil Market. But that's all part of his charm, isn't it? Engaging customers.' Beaumont, who had stood quietly observing, stepped forward. 'We'll be finding the museum shop on CCTV, but first, I want you two to take a minute and look around. Strange market, this. I've heard talk of phoenix feathers and djinn bottles being traded here. Sight like this could shake anyone up. I'll wait outside, keep this place off the radar. Leave if you're overwhelmed, Miss Kowalski.' As he stepped back behind the curtain, the hush of the market became apparent. Soft whispered bargains and clinking coins, the whirring of ancient mechanisms. Harlow, the detective, scanned the surroundings, taking it all in, but Eva's mind turned to the lifeless body on the table. 'You okay?' Harlow's voice, though professional, held an undertone of compassion. 'Um, no. I'm not okay. This is a nightmare! I never thought he'd be dead.' The sorrow in Eva's voice was raw, echoing around the cold stone walls. 'I need you to pull yourself together. We need to get a feel for this place. Something about the market made him take this trip and eventually wind up dead. No CCTV here, and his trail is cold at the museum.' Harlow's voice was urgent, focused. 'You think he was involved in something dodgy? The market can't be all black magic and banishing rituals. The curator at the archives told me about...' Eva's voice trailed off as her eyes fixed on a stall selling shadow composts. On a whim, she picked one up, its needle spinning toward the back of the market. 'This points to... something.' Harlow could see that Eva was lost in her head, her logic likely blown away by the fantastical nature of this place. 'A compass to what? Are you saying he was murdered because of a compass?' 'No, it points to portals! Rifts, doors, whatever you call them. Magical places. Need to just follow the Compass, see where it takes me.' Eva's voice held a new sense of purpose, the shock of the murder giving way to her natural determination and curiosity. Harlow raised a sceptical brow. 'And how's this going to help?' 'Um... maybe I can find out where he's been? Or maybe he was at some kind of gateway, and someone followed him back here. This place is wild! Anyone could be a suspect.' Eva's words tumbled out, a mismatched blend of enthusiasm and dread.
created_at"2026-02-19T10:49:40.317Z" 2/19/2026, 10:49:40 AM
model"cohere/command-r-plus-08-2024"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency208
moderation_latency137
generation_time33345
tokens_prompt1149
tokens_completion1607
native_tokens_prompt1049
native_tokens_completion1484
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0174625
router(null)
provider_responses
0
endpoint_id"cd63714a-d459-4806-bdf2-0dfea4f6614c"
id"cc8c5d9b-c0ba-48f0-8a12-401d8674cc12"
is_byokfalse
latency208
model_permaslug"cohere/command-r-plus-08-2024"
provider_name"Cohere"
status200
api_type"completions"
id"gen-1771498180-DtE2grjj8Z53ZRoOj0uu"
upstream_id"cc8c5d9b-c0ba-48f0-8a12-401d8674cc12"
total_cost0.0174625
cache_discount(null)
upstream_inference_cost0
provider_name"Cohere"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount1
adverbTags
0"Ordering hard-to-find tomes [hard]"
dialogueSentences0
tagDensity1
leniency1
rawRatio0.091
effectiveRatio0.091
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1069
totalAiIsmAdverbs0
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)
48.55% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1069
totalAiIsms11
found
0
word"otherworldly"
count1
1
word"amidst"
count1
2
word"clandestine"
count1
3
word"echoed"
count1
4
word"scanned"
count2
5
word"sense of"
count2
6
word"trembled"
count1
7
word"charm"
count1
8
word"echoing"
count1
highlights
0"otherworldly"
1"amidst"
2"clandestine"
3"echoed"
4"scanned"
5"sense of"
6"trembled"
7"charm"
8"echoing"
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
narrationSentences73
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences73
filterMatches
0"watch"
1"see"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences103
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1063
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions7
unquotedAttributions0
matches(empty)
99.42% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions31
wordCount692
uniqueNames18
maxNameDensity1.01
worstName"Harlow"
maxWindowNameDensity1.5
worstWindowName"Harlow"
discoveredNames
Veil2
Market2
Detective1
Harlow7
Quinn1
Tube1
Camden1
Sounds1
Eva5
Kowalski1
British1
Museum1
Amazon1
Google1
Beaumont2
Miss1
Rifts1
Compass1
persons
0"Market"
1"Detective"
2"Harlow"
3"Quinn"
4"Eva"
5"Kowalski"
6"Beaumont"
7"Compass"
places
0"British"
globalScore0.994
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1063
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences103
matches
0"see that Eva"
99.64% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs31
mean34.29
std17.1
cv0.499
sampleLengths
075
150
253
323
429
512
642
752
817
946
1029
1145
1216
1343
1416
1538
1620
1722
188
1934
2066
2125
2221
2311
2428
2546
2660
2736
2845
2911
3044
90.84% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences73
matches
0"being traded"
1"was lost"
2"was murdered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs131
matches
0"was going"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences103
ratio0.01
matches
0"Harlow's eyes, sharp as her namesake, scanned the market stalls—a reptile-like creature selling bottled dreams, a gnome-like being offering ancient scrolls, and a shimmering portal in the corner whisking buyers to their secret destinations."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount126
adjectiveStacks0
stackExamples(empty)
adverbCount1
adverbRatio0.007936507936507936
lyAdverbCount1
lyAdverbRatio0.007936507936507936
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences103
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences103
mean10.32
std7.29
cv0.706
sampleLengths
016
116
220
323
434
516
67
717
810
919
1023
115
1210
136
148
159
163
173
1810
192
2014
217
226
236
2419
2510
2617
2717
282
2928
302
319
322
333
3423
356
3613
371
383
396
408
412
4212
434
4412
459
464
4722
488
4916
85.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.5436893203883495
totalSentences103
uniqueOpeners56
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences66
matches
0"Maybe you'll sniff out a"
1"maybe I can find out"
ratio0.03
98.79% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount20
totalSentences66
matches
0"She entered an abandoned Tube"
1"She spotted her target, a"
2"His gruff voice cut through"
3"It was his sense of"
4"She stepped past the curtain,"
5"I don't know."
6"I only saw him once"
7"He sells rare books at"
8"We never spoke"
9"He sold you"
10"I looked for some in"
11"I had to find him"
12"It's not like he's on"
13"He was always so helpful."
14"He just packed up, saying"
15"I've heard talk of phoenix"
16"I'll wait outside, keep this"
17"I'm not okay."
18"I never thought he'd be"
19"We need to get a"
ratio0.303
100.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount42
totalSentences66
matches
0"The Veil Market bustled with"
1"She entered an abandoned Tube"
2"Every step echoed on the"
3"Harlow's eyes, sharp as her"
4"She spotted her target, a"
5"His gruff voice cut through"
6"It was his sense of"
7"Beaumont chuckled, his belly shaking."
8"Harlow followed him, her heels"
9"Morts can't pinpoint why this"
10"She stepped past the curtain,"
11"Harlow pulled herself together and"
12"Eva shook her head, her"
13"I don't know."
14"I only saw him once"
15"He sells rare books at"
16"We never spoke"
17"He sold you"
18"Eva nodded, tucking her hair"
19"I looked for some in"
ratio0.636
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount3
totalSentences66
matches
0"Though this ain't exactly your"
1"Now, this way, the murder's"
2"But, as you'll see, the"
ratio0.045
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences25
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount0
matches(empty)
0.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount1
fancyTags
0"Ordering hard-to-find tomes (order find)"
dialogueSentences0
tagDensity1
leniency1
rawRatio0.333
effectiveRatio0.333
94.1000%