Run: 2026-02-19-01KHTRP2272RY4TT3XA9KGGT3C

Run Details

Duration:
25.6s
Cost:
$0.001879
Provider:
DeepInfra

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
The distinctive green neon sign of The Raven's Nest glowed in the misty London night. Aurora Carter, her straight shoulder-length black hair plastered to her forehead from the rain, pushed open the heavy wooden door. The dimly lit interior enveloped her like a warm embrace. She slid onto a worn leather stool at the bar, tucking a stray lock of hair behind her ear. Her bright blue eyes scanned the room, taking in the old maps and black-and-white photographs covering the exposed brick walls. The place hadn't changed a bit since her university days. "A whiskey, neat," she said to the bartender, a grey-streaked auburn-haired man with a neatly trimmed beard. He nodded, his hazel eyes crinkling at the corners as he poured her drink. She noticed the slight limp in his left leg as he moved - an old injury, if memory served. Aurora's attention was drawn to a figure hunched over the bar a few stools down. Something about the set of those shoulders... She squinted, trying to make out the man's features in the low light. Suddenly, the man turned, his eyes locking with hers. Aurora's breath caught in her throat. "Evan?" The man blinked, his rugged face splitting into a grin. "Rory? Bloody hell, is that you?" He slid off his stool, crossing the distance between them in a few long strides. Before she could react, he wrapped her in a tight embrace. Aurora stiffened, memories flooding back. The last time she'd seen Evan Jones, he'd been screaming obscenities at her as she walked out the door of their Cardiff flat, vowing never to return. That was three years ago. Evan pulled back, his hands resting on her shoulders. "Look at you! You haven't aged a day." His eyes roved over her face, a glint of something unreadable in their depths. "What are you doing here?" Aurora asked, hating the tremor in her voice. She cleared her throat. "I thought you were still in Cardiff." Evan shrugged, a wry smile twisting his lips. "I was. But you know me, always up for a change of scenery. I'm working on a big case here in London. High-profile client." "Still defending the indefensible, then," Aurora said dryly, sipping her whiskey. The burn of the liquor steadied her. Evan's smile faltered for a moment before he regained his composure. "Someone has to keep the cogs of justice turning." He signaled the bartender for another round. "You always were too idealistic for your own good, Rory." "And you always were an unprincipled bastard," she shot back, her cool mask slipping. Silas raised an eyebrow as he refilled their glasses but said nothing. Evan threw back his head and laughed, the sound harsh and grating in the quiet bar. "Oh, I've missed you, darling," he said, wiping his eyes. "No one else ever had the guts to call me on my bullshit like you did." Aurora stared at him, the ghost of their shared past hovering between them. "I didn't miss you," she said flatly. "Or your bullshit." Evan sobered, something like regret flickering across his face. "I know. And I don't blame you, not after...everything." He sighed, swirling the whiskey in his glass. "I was hoping I might run into you, actually. I wanted to apologize. For what it's worth, I regret how things ended with us." Aurora snorted. "You're about three years too late." She pushed away her half-finished drink, sliding off the stool. "Thanks for the drink, Si," she called to the bartender before turning back to Evan. "Goodbye, Evan. Don't bother looking me up again." She strode out of the bar without a backwards glance, the heavy door banging shut behind her. The last thing she saw was Evan's stricken face, his hand outstretched as if to stop her. But it was too late. Some bridges, once burnt, could never be rebuilt.
created_at"2026-02-19T10:56:11.853Z" 2/19/2026, 10:56:11 AM
model"nousresearch/hermes-3-llama-3.1-405b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency379
moderation_latency(null)
generation_time25566
tokens_prompt1128
tokens_completion956
native_tokens_prompt1005
native_tokens_completion874
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"
usage0.001879
router(null)
provider_responses
0
endpoint_id"3280e8f8-0960-400c-8284-2e03a0bcb446"
id"cmpl-978c60b8c2ac4e91b523b46f06c24852"
is_byokfalse
latency61
model_permaslug"nousresearch/hermes-3-llama-3.1-405b"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771498571-PMwOLmPfwQnrRTwKBDf6"
upstream_id"cmpl-978c60b8c2ac4e91b523b46f06c24852"
total_cost0.001879
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
0.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags11
adverbTagCount3
adverbTags
0"Aurora said dryly [dryly]"
1"she said flatly [flatly]"
2"She pushed away [away]"
dialogueSentences20
tagDensity0.55
leniency1
rawRatio0.273
effectiveRatio0.273
92.32% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount651
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)
53.92% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount651
totalAiIsms6
found
0
word"scanned"
count1
1
word"glint"
count1
2
word"unreadable"
count1
3
word"depths"
count1
4
word"eyebrow"
count1
5
word"the last thing"
count1
highlights
0"scanned"
1"glint"
2"unreadable"
3"depths"
4"eyebrow"
5"the last thing"
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
narrationSentences44
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences44
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences53
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen27
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords645
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions23
wordCount480
uniqueNames9
maxNameDensity1.67
worstName"Evan"
maxWindowNameDensity3.5
worstWindowName"Evan"
discoveredNames
Raven1
Nest1
London1
Carter1
Evan8
Jones1
Cardiff1
Aurora8
Silas1
persons
0"Raven"
1"Nest"
2"Carter"
3"Evan"
4"Jones"
5"Aurora"
6"Silas"
places
0"London"
1"Cardiff"
globalScore0.667
windowScore0.5
82.43% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences37
glossingSentenceCount1
matches
0"something like regret flickering across his"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount645
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences53
matches(empty)
62.33% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs18
mean35.83
std13.19
cv0.368
sampleLengths
045
149
250
335
416
516
663
731
824
932
1018
1137
1226
1342
1423
1550
1641
1747
97.29% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences44
matches
0"was drawn"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs88
matches(empty)
88.95% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences53
ratio0.019
matches
0"She noticed the slight limp in his left leg as he moved - an old injury, if memory served."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount485
adjectiveStacks0
stackExamples(empty)
adverbCount11
adverbRatio0.02268041237113402
lyAdverbCount5
lyAdverbRatio0.010309278350515464
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences53
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences53
mean12.17
std5.88
cv0.483
sampleLengths
015
120
210
319
420
510
617
714
819
915
107
1113
129
136
141
1510
166
1715
1811
195
2027
215
229
2322
2413
254
267
278
2824
2911
307
3111
3216
3310
3414
3512
3616
3710
3816
3913
407
413
429
4317
4424
452
4616
4715
488
4917
83.02% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.5094339622641509
totalSentences53
uniqueOpeners27
77.52% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences43
matches
0"Suddenly, the man turned, his"
ratio0.023
61.86% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences43
matches
0"She slid onto a worn"
1"Her bright blue eyes scanned"
2"she said to the bartender,"
3"He nodded, his hazel eyes"
4"She noticed the slight limp"
5"She squinted, trying to make"
6"He slid off his stool,"
7"His eyes roved over her"
8"She cleared her throat."
9"He signaled the bartender for"
10"she shot back, her cool"
11"he said, wiping his eyes"
12"she said flatly"
13"He sighed, swirling the whiskey"
14"She pushed away her half-finished"
15"she called to the bartender"
16"She strode out of the"
ratio0.395
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount40
totalSentences43
matches
0"The distinctive green neon sign"
1"Aurora Carter, her straight shoulder-length"
2"The dimly lit interior enveloped"
3"She slid onto a worn"
4"Her bright blue eyes scanned"
5"The place hadn't changed a"
6"she said to the bartender,"
7"He nodded, his hazel eyes"
8"She noticed the slight limp"
9"Aurora's attention was drawn to"
10"Something about the set of"
11"She squinted, trying to make"
12"Aurora's breath caught in her"
13"The man blinked, his rugged"
14"He slid off his stool,"
15"Aurora stiffened, memories flooding back."
16"The last time she'd seen"
17"That was three years ago."
18"Evan pulled back, his hands"
19"His eyes roved over her"
ratio0.93
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences43
matches
0"Before she could react, he"
ratio0.023
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences20
technicalSentenceCount0
matches(empty)
34.09% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags11
uselessAdditionCount2
matches
0"His eyes roved, a glint of something unreadable in their depths"
1"she shot back, her cool mask slipping"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags7
fancyCount1
fancyTags
0"He sighed (sigh)"
dialogueSentences20
tagDensity0.35
leniency0.7
rawRatio0.143
effectiveRatio0.1
82.7908%