Run: 2026-02-19-01KHTRB0TW9ZBHZW93W0V8X7XM

Run Details

Duration:
19.2s
Cost:
$0.011097
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="4412" name="Aurora Carter" aliases="Rory, Laila, Aurora, Carter, Malphora" pronouns="she/her" species="Human" storyRole="Protagonist"> <eyeColor>bright blue</eyeColor> <hair>straight shoulder-length black</hair> <height>5'6"</height> <age>25</age> <scar>small crescent-shaped scar on her left wrist from a childhood accident</scar> <description>Aurora, referred to by her friends as Rory, is cool-headed, intelligent, and known for quick out-of-the-box thinking.</description> <backstory>Born in Cardiff to an Irish barrister father (Brendan Carter) and Welsh teacher mother (Jennifer Carter née Ellis), Rory reluctantly pursued Pre-Law at Cardiff University. She fled to London at the behest of her childhood friend Eva after leaving an abusive ex named Evan. By day, Rory works part-time as a delivery person for Yu-Fei Cheung's Golden Empress restaurant. She lives in a flat above Silas' bar.</backstory> </character> <character id="4413" name="Silas Blackwood" aliases="Silas, Si, the Spymaster" pronouns="he/him" species="Human" storyRole="Mentor"> <eyeColor>hazel</eyeColor> <hair>grey-streaked auburn</hair> <height>6'1"</height> <age>58</age> <beard>neatly trimmed, matching his grey-streaked auburn hair</beard> <limp>slight limp in his left leg from an old knee injury</limp> <signetRing>silver signet ring, always worn on his right hand</signetRing> <description>Silas is a retired intelligence operative turned bar owner. He carries himself with quiet authority.</description> <backstory>Former MI6 field agent who retired after a botched operation in Prague left him with a permanent knee injury. He opened "The Raven's Nest" bar in Soho as a front for his network of contacts.</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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the literary fiction genre. Two old friends who haven't seen each other in years run into each other unexpectedly at a bar. One of them has changed significantly. Through their conversation and the tension between who they were and who they've become, reveal the weight of time and unspoken regret. 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
Rory felt the weight of the tray in her hands as she pushed open the door of the Raven's Nest. The familiar smoky atmosphere washed over her, mingling with the live jazz music drifting from the stage. It was a tired, old place, where every stain on the couches and chip in the polished tables came with a story. But tonight, it wore a festive atmosphere, almost like the crowd was trying to resurrect old glories. She made her way past the jovial clusters of people, nodding greetings to regular patrons, her gaze skimming over the familiar faces of London's underbelly—small-time drug peddlers, petty criminals, and the odd lawyer from the courthouse across the street. "Rory!" Silas' gravelly voice cut through the din, drawing her towards the bar, where the grizzled ex-operative stood, drying a pint glass with a towel. The man had a way of seeing everything, even with his back turned. "You here to work or has the Golden Empress finally let you go?" He quipped, glancing up with a smile. "Not everyone's blessed with retirement, Si." She smiled back, loading the tray onto the counter. "I'll be starting my rounds soon. Thought I'd drop by to see how you're faring with the crowd before I get stuck with takeout orders." "You are a blessing, my girl." His grey eyes twinkled, casting a fond look over her shoulder at the throng of people. "With the festival nearby, a lass like you is godsend for a busy bartender." Rory snorted, leaning against the bar, elbow on the polished wood. "Flattery will get you a free pint. Same as it always did." Before Silas could retort, a voice cut through the din. "Laila? As I live and breathe." Rory turned, heart lurching as recognition hit. Before her stood a tall, well-built man in a custom suit, exuding an air of wealth and confidence. It was a stark contrast to the boy Rory had once known. "Patrick?" Her voice cracked with surprise. "It's me." Patrick's face broke into a smile, his blue eyes sparkling with familiar humor. "And look at you! Still flashing those dimples. What brings you to my new favorite haunt?" Rory looked around, suddenly aware that every eye in the room was on them, and the jazz singer had paused mid-song. "Just, ah, dropping off drinks from the Golden Empress." "You delivery now?" Patrick's expression grew concerned. "I heard you went to Cardiff for law. How's that working out?" Rory shifted uncomfortably, wishing the jazz singer hadn't stopped mid-song. "Not great. Long story, actually. Listen, you want a drink? It's on me." "No, I'm meeting a client here, believe it or not. But I'd love to catch up properly." Patrick glanced at his watch. "Listen, I have a late dinner with a CEO, but I'm free tomorrow. Can we grab lunch?" Rory hesitated, torn between the desire to reconnect and fear of exposing her less-than-ideal situation. "Sure. Where?" "How about that street-food festival by London Bridge? I've got meetings nearby. We can talk while we eat." Rory nodded, feeling the weight of every lost year press against her tongue. She missed this version of Patrick, the one from their childhood on the streets of Cardiff. But it was clear he had moved on, while she was still running. "Sounds good," she managed. "Fantastic. I'll text you the details." He nodded, a smile softening his face. "And I'll finally catch up with Aurora Carter, not 'Laila' on the streets." With a final nod, Patrick strode away, leaving Rory staring after him, the jazz singer's voice once again filling the pause.
created_at"2026-02-19T10:50:10.144Z" 2/19/2026, 10:50:10 AM
model"cohere/command-r-plus-08-2024"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency171
moderation_latency125
generation_time19028
tokens_prompt1094
tokens_completion906
native_tokens_prompt1019
native_tokens_completion855
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"
usage0.0110975
router(null)
provider_responses
0
endpoint_id"cd63714a-d459-4806-bdf2-0dfea4f6614c"
id"8523211d-43ea-4234-8b0e-0dd7619280d2"
is_byokfalse
latency171
model_permaslug"cohere/command-r-plus-08-2024"
provider_name"Cohere"
status200
api_type"completions"
id"gen-1771498210-ShNaqkBoovQyTLFVpkET"
upstream_id"8523211d-43ea-4234-8b0e-0dd7619280d2"
total_cost0.0110975
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
totalTags9
adverbTagCount1
adverbTags
0"She smiled back [back]"
dialogueSentences22
tagDensity0.409
leniency0.818
rawRatio0.111
effectiveRatio0.091
91.79% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount609
totalAiIsmAdverbs1
found
0
adverb"suddenly"
count1
highlights
0"suddenly"
100.00% AI-ism character names
Target: 0 AI-default names (16 tracked, −20% each)
codexExemptions
0"Blackwood"
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
34.32% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount609
totalAiIsms8
found
0
word"weight"
count2
1
word"familiar"
count3
2
word"lurching"
count1
3
word"stark"
count1
4
word"desire"
count1
highlights
0"weight"
1"familiar"
2"lurching"
3"stark"
4"desire"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
94.14% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences27
matches
0"d with surprise"
89.95% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences27
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences40
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen41
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords601
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
26.03% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions19
wordCount363
uniqueNames7
maxNameDensity2.48
worstName"Rory"
maxWindowNameDensity4
worstWindowName"Rory"
discoveredNames
Raven1
Nest1
London1
Rory9
Silas1
Patrick5
Cardiff1
persons
0"Raven"
1"Rory"
2"Silas"
3"Patrick"
places
0"London"
1"Cardiff"
globalScore0.26
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences23
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount601
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences40
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs21
mean28.62
std15.13
cv0.529
sampleLengths
076
139
238
320
440
536
623
716
837
96
1031
1130
1219
1323
1439
1517
1618
1742
184
1926
2021
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences27
matches(empty)
92.47% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs62
matches
0"was trying"
71.43% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences40
ratio0.025
matches
0"She made her way past the jovial clusters of people, nodding greetings to regular patrons, her gaze skimming over the familiar faces of London's underbelly—small-time drug peddlers, petty criminals, and the odd lawyer from the courthouse across the street."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount308
adjectiveStacks0
stackExamples(empty)
adverbCount10
adverbRatio0.032467532467532464
lyAdverbCount4
lyAdverbRatio0.012987012987012988
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences40
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences40
mean15.03
std6.73
cv0.448
sampleLengths
020
117
222
317
439
525
613
720
815
925
1022
1114
1211
1312
1410
156
167
1718
1812
196
2015
2116
2221
239
247
2512
2610
2713
2822
2917
3015
312
3218
3313
3416
3513
364
3713
3813
3921
87.50% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.525
totalSentences40
uniqueOpeners21
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences26
matches(empty)
ratio0
81.54% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences26
matches
0"It was a tired, old"
1"She made her way past"
2"He quipped, glancing up with"
3"She smiled back, loading the"
4"His grey eyes twinkled, casting"
5"It was a stark contrast"
6"Her voice cracked with surprise"
7"She missed this version of"
8"He nodded, a smile softening"
ratio0.346
56.15% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount21
totalSentences26
matches
0"Rory felt the weight of"
1"The familiar smoky atmosphere washed"
2"It was a tired, old"
3"She made her way past"
4"The man had a way"
5"He quipped, glancing up with"
6"She smiled back, loading the"
7"His grey eyes twinkled, casting"
8"Rory snorted, leaning against the"
9"Rory turned, heart lurching as"
10"It was a stark contrast"
11"Her voice cracked with surprise"
12"Patrick's face broke into a"
13"Rory looked around, suddenly aware"
14"Patrick's expression grew concerned"
15"Rory shifted uncomfortably, wishing the"
16"Patrick glanced at his watch"
17"Rory hesitated, torn between the"
18"Rory nodded, feeling the weight"
19"She missed this version of"
ratio0.808
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences26
matches
0"Before Silas could retort, a"
1"Before her stood a tall,"
ratio0.077
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount1
matches
0"She made her way past the jovial clusters of people, nodding greetings to regular patrons, her gaze skimming over the familiar faces of London's underbelly—smal…"
13.89% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags9
uselessAdditionCount2
matches
0"Patrick's face broke, his blue eyes sparkling with familiar humor"
1"He nodded, a smile softening his face"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags1
fancyCount1
fancyTags
0"He quipped (quip)"
dialogueSentences22
tagDensity0.045
leniency0.091
rawRatio1
effectiveRatio0.091
84.6402%