Run: 2026-02-19-01KHTRNFPVRVPZKWAE4HQTY0VG

Run Details

Duration:
34.7s
Cost:
$0.016637
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="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> Continue the story using 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 relentless London rain soaked Detective Harlow Quinn's trench coat as she sprinted through the dimly lit streets, her boots splashing through puddles. Every drop of rain felt like a hammer blow on her head, chipping away at her resolve. She had been chasing leads all week, hoping one of them would crack the case wide open, but each thread led only to dead ends or, like tonight, more questions. The suspect, a slippery customer whom Harlow had been tailing for days, darted down an alley. He was a tall, shadowy figure, dressed in a long black coat, and no matter how close she got, he always managed to stay just out of reach. This game of cat and mouse had been wearing Harlow's patience thin. She had a bitter taste in her mouth, and it wasn't just from the rain. Sighing heavily, she pulled her coat tighter and quickened her pace, determined not to let the suspect slip through her fingers again. The chase led her into an area known for its underground dealings. She entered a rundown district where the streetlamps provided little more than a weak glow, casting eerie shadows that danced across the sodden pavement. Her heart hammered against her ribcage, the adrenaline pumping through her veins as much from her determination as from the thrill of the hunt. As she turned a corner, the clatter of her boots on the cobblestones echoed off the crumbling brick walls. The suspect suddenly veered into an opening—a hidden entrance to an underground market, Harlow suspected. The faint roar of the crowd within and the glow from gas lamps welcomed those seeking shelter. She hesitated; the last time she had gone headfirst into an unknown, it had cost her dearly. Three years ago, during a similar chase in this very district, she'd lost her partner. DS Morris had rushed into a trap, and in a blink of an eye, he was gone. The memory still haunted her dreams. But, Harlow told herself, this time she had a chance to do things right, to make up for past mistakes. Instinct told her this suspect was somehow linked to that old case. She would not let him get away, even if it meant venturing into unfamiliar, possibly dangerous territory. The detective dove into the entrance, which opened up into a cavernous space lit by candlelight and gas lamps. The acrid smell of sweat and smoke assaulted her senses. She instantly knew this was the Veil Market, the hidden supernatural black market that surfaces monthly in a different abandoned Underground station across London. And tonight, fate had placed it in her way. Merchants shouted, hawking their illicit goods. The air buzzed with a foreign energy that pricked Harlow's senses, sending shivers down her spine. She wove her way through the crowded market, eyes scanning the figures ahead for any sign of her prey. At a table stacked with spell books, she spotted Tomás Herrera, the former paramedic turned rogue healer, wrapped in whispered conversation with a tall figure. Her partner's disappearance suddenly felt like more than just bad luck. Harlow's grip tightened on the worn leather strap of her watch, the time piece the only thing of his she had left. With a renewed sense of purpose, she ducked under the table and sat beside Tommy. His silver Saint Christopher medallion, once lost, now found, glinted in the dim light. They shared a moment of silent understanding; their eyes locking for a brief second. "What's up, detective?" he asked, though he already knew. "The suspect. Have you seen him?" "Yeah." He nodded towards a man at another stall, haggling for a mysterious elixir. "He's not easy to follow, and you already know he's not a regular guy. Unnatural if you ask me." "I agree," Harlow said, already moving. "Stay close, I'm not letting him get away again." They weaved through the maze of stalls. The market's density increased as they went deeper, every step bringing new discoveries. The place was a goldmine for someone hunting dangerous men, and she knew it was only a matter of time before her suspect slipped up. But the suspect didn't make it easy, moving to the outer fringes, where the clientele became rougher. He hovered around a stall, eyeing its contents, barely noticeable in the shadows until his hand darted out, exchanging something with the merchant. Harlow moved closer, spotting a glint of silver from within the suspect's palm. "Tommy, is that—" But before she could finish, the suspect was off again, darting towards a dark hall that narrowed before descending into the depths. "Shit," she cursed, realizing what this meant. "What is it?" Tommy asked, confused. She pointed to the stall, then to the retreating suspect. "He's got a bone token. They're going deeper underground." Tommy paled. "Are you crazy? You can't follow." As if in agreement, a low rumble shook the ground, jars jiggling on shelves. It was a warning. A rumble so deep, Harlow could feel it beneath her feet, a sign that only the truly daft would ignore. The detective paused, her military-honed instincts warring with her desire to see this through to the bitter end. "I have to. At least come with me to the token seller; we need to learn more." He sighed but nodded, and together they approached an ancient woman with a leathery face. The detector produced her badge. "Scotland Yard. We're interested in the tokens." The woman eyed Harlow and her badge. "Cops, huh? Want to get underground? There's only one reason for that. But you ain't got no idea." She chuckled ominously. "Two coppers come down here last year. Never came back up." "Two officers missing?" Harlow asked, surprised. "You're lucky there's not more. That's the risk down there. You go down, you enter an 'anything goes' world. Once you see their real faces, no turning back." The woman's words were a thinly veiled threat and a warning all wrapped into one. Harlow met her gaze, unwavering. "Two friends of mine disappeared. It's time to end this." "Harlow," Tommy whispered, a note of fear in his voice. "You don't know what we might find." Harlow's eyes flicked to him and back to the token seller. Her voice was low. "We'll have to be prepared for anything."
created_at"2026-02-19T10:55:53.056Z" 2/19/2026, 10:55:53 AM
model"cohere/command-r-plus-08-2024"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency202
moderation_latency142
generation_time34524
tokens_prompt1140
tokens_completion1580
native_tokens_prompt1023
native_tokens_completion1408
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"
usage0.0166375
router(null)
provider_responses
0
endpoint_id"cd63714a-d459-4806-bdf2-0dfea4f6614c"
id"cab2dc46-f91a-4d8b-850a-4cddca2bfd40"
is_byokfalse
latency202
model_permaslug"cohere/command-r-plus-08-2024"
provider_name"Cohere"
status200
api_type"completions"
id"gen-1771498553-MdxXQPmllvmqoZJr7jD3"
upstream_id"cab2dc46-f91a-4d8b-850a-4cddca2bfd40"
total_cost0.0166375
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
totalTags8
adverbTagCount1
adverbTags
0"She chuckled ominously [ominously]"
dialogueSentences21
tagDensity0.381
leniency0.762
rawRatio0.125
effectiveRatio0.095
80.99% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1052
totalAiIsmAdverbs4
found
0
adverb"suddenly"
count2
1
adverb"very"
count1
2
adverb"truly"
count1
highlights
0"suddenly"
1"very"
2"truly"
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)
33.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1052
totalAiIsms14
found
0
word"resolve"
count1
1
word"quickened"
count1
2
word"determined"
count1
3
word"pumping"
count1
4
word"echoed"
count1
5
word"down her spine"
count1
6
word"scanning"
count1
7
word"sense of"
count1
8
word"glint"
count1
9
word"depths"
count1
10
word"could feel"
count1
11
word"desire"
count1
12
word"unwavering"
count1
13
word"flicked"
count1
highlights
0"resolve"
1"quickened"
2"determined"
3"pumping"
4"echoed"
5"down her spine"
6"scanning"
7"sense of"
8"glint"
9"depths"
10"could feel"
11"desire"
12"unwavering"
13"flicked"
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
narrationSentences62
matches(empty)
96.77% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences62
filterMatches
0"watch"
hedgeMatches
0"managed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences75
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen30
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1050
ratio0
matches(empty)
75.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions1
matches
0"But, Harlow told herself, this time she had a chance to do things right, to make up for past mistakes."
66.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions30
wordCount879
uniqueNames13
maxNameDensity1.59
worstName"Harlow"
maxWindowNameDensity3
worstWindowName"Harlow"
discoveredNames
London2
Detective1
Harlow14
Quinn1
Morris1
Veil1
Market1
Underground1
Tomás1
Herrera1
Tommy4
Saint1
Christopher1
persons
0"Detective"
1"Harlow"
2"Quinn"
3"Morris"
4"Tomás"
5"Herrera"
6"Tommy"
7"Saint"
8"Christopher"
places
0"London"
1"Underground"
globalScore0.704
windowScore0.667
55.66% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences53
glossingSentenceCount2
matches
0"felt like a hammer blow on her head, ch"
1"felt like more than just bad luck"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1050
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences75
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean35
std22.83
cv0.652
sampleLengths
070
171
282
351
455
549
662
766
876
99
106
1133
1215
1345
1440
1516
1622
177
186
1919
208
2138
2235
2327
2439
256
2628
2730
2817
2922
99.60% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences62
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs142
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount3
flaggedSentences4
totalSentences75
ratio0.053
matches
0"The suspect suddenly veered into an opening—a hidden entrance to an underground market, Harlow suspected."
1"She hesitated; the last time she had gone headfirst into an unknown, it had cost her dearly."
2"They shared a moment of silent understanding; their eyes locking for a brief second."
3"\"I have to. At least come with me to the token seller; we need to learn more.\""
92.25% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount881
adjectiveStacks1
stackExamples
0"former paramedic turned rogue"
adverbCount37
adverbRatio0.04199772985244041
lyAdverbCount16
lyAdverbRatio0.018161180476730987
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences75
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences75
mean14
std6.76
cv0.483
sampleLengths
023
117
230
316
428
512
615
722
812
924
1024
1119
1215
1317
1417
1515
1617
176
1820
1912
2017
2119
2210
2324
249
256
2616
2719
2825
2911
3022
3115
3214
3314
349
356
3614
3719
386
399
407
4113
4225
4317
4423
4513
463
4722
487
496
68.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.44
totalSentences75
uniqueOpeners33
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences61
matches(empty)
ratio0
75.74% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences61
matches
0"She had been chasing leads"
1"He was a tall, shadowy"
2"She had a bitter taste"
3"She entered a rundown district"
4"Her heart hammered against her"
5"She hesitated; the last time"
6"She would not let him"
7"She instantly knew this was"
8"She wove her way through"
9"Her partner's disappearance suddenly felt"
10"His silver Saint Christopher medallion,"
11"They shared a moment of"
12"he asked, though he already"
13"He nodded towards a man"
14"They weaved through the maze"
15"He hovered around a stall,"
16"she cursed, realizing what this"
17"She pointed to the stall,"
18"It was a warning."
19"He sighed but nodded, and"
ratio0.361
41.97% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount51
totalSentences61
matches
0"The relentless London rain soaked"
1"Every drop of rain felt"
2"She had been chasing leads"
3"The suspect, a slippery customer"
4"He was a tall, shadowy"
5"This game of cat and"
6"She had a bitter taste"
7"The chase led her into"
8"She entered a rundown district"
9"Her heart hammered against her"
10"The suspect suddenly veered into"
11"The faint roar of the"
12"She hesitated; the last time"
13"DS Morris had rushed into"
14"The memory still haunted her"
15"Instinct told her this suspect"
16"She would not let him"
17"The detective dove into the"
18"The acrid smell of sweat"
19"She instantly knew this was"
ratio0.836
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences61
matches
0"But, Harlow told herself, this"
1"As if in agreement, a"
ratio0.033
61.69% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences44
technicalSentenceCount5
matches
0"She entered a rundown district where the streetlamps provided little more than a weak glow, casting eerie shadows that danced across the sodden pavement."
1"The detective dove into the entrance, which opened up into a cavernous space lit by candlelight and gas lamps."
2"She instantly knew this was the Veil Market, the hidden supernatural black market that surfaces monthly in a different abandoned Underground station across Lond…"
3"The air buzzed with a foreign energy that pricked Harlow's senses, sending shivers down her spine."
4"But before she could finish, the suspect was off again, darting towards a dark hall that narrowed before descending into the depths."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount2
matches
0"Tommy asked, confused"
1"Tommy whispered, a note of fear in his voice"
54.76% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags6
fancyCount2
fancyTags
0"She chuckled ominously (chuckle)"
1"Tommy whispered (whisper)"
dialogueSentences21
tagDensity0.286
leniency0.571
rawRatio0.333
effectiveRatio0.19
76.7520%