Run: 2026-02-19-01KHTR1XXK53375XYF2EEBBTBY

Run Details

Duration:
42.8s
Cost:
$0.000943
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
Aurora Carter slid onto a stool at the end of the bar, the worn leather creaking beneath her. She signaled the bartender, a lanky young man with a messy beard, for a gin and tonic. As he expertly mixed her drink, her eyes wandered around the dimly lit room, taking in the familiar sights of The Raven's Nest. The walls, adorned with old maps and black-and-white photographs, seemed to whisper stories of their own. The air was thick with the smell of whiskey and worn wood. Just as the bartender handed her the drink, a figure emerged from the crowd, his eyes locking onto hers with an unnerving intensity. Aurora's heart skipped a beat as she realized who it was – Evan, her ex-boyfriend from Cardiff. The one she'd fled from, leaving behind a trail of broken glass and shattered dreams. Evan's gaze held hers for what felt like an eternity before he finally smiled, his eyes crinkling at the corners. The smile was a little too wide, a little too forced, but it was still the same charming smile that had once disarmed her so completely. "Aurora Carter," he said, his voice low and smooth as he slid onto the stool beside her. "Long time no see." Aurora raised an eyebrow, her mind racing to catch up. "Evan. I didn't know you were in London." "I'm full of surprises," he said, signaling the bartender for a whiskey. "What about you? What brings you to this fine establishment?" The bartender, sensing the tension between them, wisely kept his distance, busying himself with polishing a mug. Aurora took a sip of her drink, the gin burning a path down her throat. "Just grabbing a drink after work. I live above the bar, actually." Evan's eyes lit up with interest. "No kidding? You're living the high life, aren't you?" She shrugged, her shoulders barely rising off the stool. "It's not so bad. I work part-time at a restaurant down the street. Deliveries, mostly." Evan's gaze roved over her face, taking in the small crescent-shaped scar on her left wrist. For a moment, Aurora thought she saw a flicker of something – regret, maybe, or remorse – but it was quickly extinguished, replaced by his usual charming smile. "You look great, Rory," he said, his voice a little too soft. "You always were beautiful, but there's something about you now... you seem more at peace." Aurora raised an eyebrow, unsure how to respond. The truth was, she'd spent years trying to escape the memories of their time together, to outrun the shadows that had followed her from Cardiff to London. But seeing Evan now, she was struck by how much he'd changed. The sharp jawline was softer, the eyes less bright, and the once-chiseled features now seemed worn, as if the weight of time had finally caught up with him. "Evan, what are you doing here?" she asked, her voice a little sharper than she'd intended. He leaned in, his voice taking on a conspiratorial tone. "I'm working on a project. A startup, actually. We're looking to revolutionize the way people think about sustainable energy." Aurora's eyes narrowed. "That sounds very... you." Evan chuckled, the sound a little too loud. "Hey, someone's got to save the world, right?" As they talked, Aurora couldn't shake the feeling that Evan was hiding something, that there was more to his story than he was letting on. But she couldn't quite put her finger on what it was. The tension between them grew thicker, a living, breathing thing that pulsed with unspoken regret. They both knew that their past was a minefield, one misstep away from disaster. But they danced around it, their conversation a delicate ballet of avoiding the truth. At one point, Evan reached out, his hand brushing against hers. The touch sent a spark of electricity through Aurora's body, but she quickly pulled her hand away, her heart racing. "I'm sorry," Evan said, his voice low. "I didn't mean to overstep." Aurora took a deep breath, her eyes locking onto his. "It's fine, Evan. I just... I need some space, okay?" The music in the bar seemed to swell, the notes crashing against the silence between them. For a moment, Aurora thought she saw a glimmer of understanding in Evan's eyes, a flicker of the boy she'd once known. But it was quickly extinguished, replaced by the charming smile she'd grown to distrust. As the night wore on, the conversation flowed like a river, twisting and turning through topics both safe and treacherous. Aurora found herself laughing, her guard dropping in spite of herself. But every so often, she'd catch Evan's gaze, and the weight of their past would come crashing down, a cold, hard reality that neither of them could escape. It was Silas, the owner of The Raven's Nest, who finally broke the spell, his presence a welcome respite from the tension. He limped over to their table, his hazel eyes twinkling with warmth. "Rory, love, I see you've got company," he said, his voice a gentle rumble. Aurora smiled, feeling a sense of gratitude toward Silas. "Just catching up with an old friend, Si." Silas's gaze flickered to Evan, his expression unreadable. "Well, I won't interrupt. But Rory, love, you know you're always welcome to a room in the back if you need some space." Aurora's eyes met Silas's, a silent understanding passing between them. She nodded, her heart still racing from the encounter. As Silas limped away, Evan turned to her, his smile faltering for a moment. "I should probably get going," he said, his voice a little softer. Aurora nodded, feeling a mix of relief and trepidation. "Yeah, maybe that's for the best." Evan slid off the stool, his eyes locking onto hers one last time. "Take care of yourself, Rory," he said, his voice low. "You deserve it." And with that, he was gone, disappearing into the crowd like a ghost. Aurora watched him go, her mind reeling with the weight of their past, the unspoken regret that still lingered between them like a challenge.
created_at"2026-02-19T10:45:12.251Z" 2/19/2026, 10:45:12 AM
model"meta-llama/llama-3.1-70b-instruct"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency505
moderation_latency(null)
generation_time42679
tokens_prompt1138
tokens_completion1519
native_tokens_prompt1004
native_tokens_completion1353
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"
usage0.0009428
router(null)
provider_responses
0
endpoint_id"59c87462-40b6-4231-91cf-6d0f8f25e8b9"
id"cmpl-a2dc9553754243ee862891a44dae7894"
is_byokfalse
latency72
model_permaslug"meta-llama/llama-3.1-70b-instruct"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771497912-t3b80tFoAvR0pZlOegee"
upstream_id"cmpl-a2dc9553754243ee862891a44dae7894"
total_cost0.0009428
cache_discount(null)
upstream_inference_cost0
provider_name"DeepInfra"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences24
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
75.47% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1019
totalAiIsmAdverbs5
found
0
adverb"completely"
count1
1
adverb"quickly"
count3
2
adverb"very"
count1
highlights
0"completely"
1"quickly"
2"very"
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)
0.00% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1019
totalAiIsms29
found
0
word"familiar"
count1
1
word"whisper"
count1
2
word"intensity"
count1
3
word"skipped a beat"
count1
4
word"shattered"
count1
5
word"eyebrow"
count2
6
word"racing"
count3
7
word"tension"
count3
8
word"flicker"
count2
9
word"weight"
count3
10
word"pulsed"
count1
11
word"unspoken"
count2
12
word"silence"
count1
13
word"treacherous"
count1
14
word"warmth"
count1
15
word"sense of"
count1
16
word"flickered"
count1
17
word"unreadable"
count1
18
word"encounter"
count1
19
word"trepidation"
count1
highlights
0"familiar"
1"whisper"
2"intensity"
3"skipped a beat"
4"shattered"
5"eyebrow"
6"racing"
7"tension"
8"flicker"
9"weight"
10"pulsed"
11"unspoken"
12"silence"
13"treacherous"
14"warmth"
15"sense of"
16"flickered"
17"unreadable"
18"encounter"
19"trepidation"
66.67% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches2
maxInWindow2
found
0
label"eyes widened/narrowed"
count1
1
label"air was thick with"
count1
highlights
0"eyes narrowed"
1"The air was thick with"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences57
matches
0"g with warmth"
92.73% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences57
filterMatches(empty)
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences73
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1017
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
52.79% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions43
wordCount823
uniqueNames8
maxNameDensity1.94
worstName"Aurora"
maxWindowNameDensity3
worstWindowName"Aurora"
discoveredNames
Carter1
Raven2
Nest2
Evan14
Cardiff2
Aurora16
London1
Silas5
persons
0"Carter"
1"Raven"
2"Evan"
3"Aurora"
4"Silas"
places
0"Cardiff"
1"London"
globalScore0.528
windowScore0.667
11.11% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences54
glossingSentenceCount3
matches
0"felt like an eternity before he finally"
1"seemed worn as if the weight of time had finally caught up with him"
2"quite put her finger on what it was"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1017
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences73
matches
0"knew that their"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs33
mean30.82
std18.01
cv0.584
sampleLengths
086
155
246
321
418
522
617
727
815
924
1044
1127
1275
1316
1429
157
1616
1736
1843
1931
2012
2120
2252
2359
2434
2514
2617
2731
2819
2926
3015
3126
3237
92.95% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences57
matches
0"was struck"
1"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount2
totalVerbs144
matches
0"was hiding was letting"
64.58% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount0
flaggedSentences2
totalSentences73
ratio0.027
matches
0"Aurora's heart skipped a beat as she realized who it was – Evan, her ex-boyfriend from Cardiff."
1"For a moment, Aurora thought she saw a flicker of something – regret, maybe, or remorse – but it was quickly extinguished, replaced by his usual charming smile."
91.83% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount824
adjectiveStacks1
stackExamples
0"small crescent-shaped scar"
adverbCount35
adverbRatio0.04247572815533981
lyAdverbCount11
lyAdverbRatio0.013349514563106795
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences73
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences73
mean13.93
std6.31
cv0.453
sampleLengths
018
117
223
316
412
523
617
715
820
926
1017
114
1210
138
1412
1510
1617
1715
1812
196
209
219
2215
2316
2428
2512
2615
278
2827
2912
3028
3116
3210
3319
343
354
368
378
3825
3911
4015
4114
4214
4311
4420
457
465
4710
4810
4916
52.97% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.3424657534246575
totalSentences73
uniqueOpeners25
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences57
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount14
totalSentences57
matches
0"She signaled the bartender, a"
1"he said, his voice low"
2"he said, signaling the bartender"
3"She shrugged, her shoulders barely"
4"he said, his voice a"
5"she asked, her voice a"
6"He leaned in, his voice"
7"They both knew that their"
8"It was Silas, the owner"
9"He limped over to their"
10"he said, his voice a"
11"She nodded, her heart still"
12"he said, his voice a"
13"he said, his voice low"
ratio0.246
82.81% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount43
totalSentences57
matches
0"Aurora Carter slid onto a"
1"She signaled the bartender, a"
2"The walls, adorned with old"
3"The air was thick with"
4"Aurora's heart skipped a beat"
5"The one she'd fled from,"
6"Evan's gaze held hers for"
7"The smile was a little"
8"he said, his voice low"
9"Aurora raised an eyebrow, her"
10"he said, signaling the bartender"
11"The bartender, sensing the tension"
12"Aurora took a sip of"
13"Evan's eyes lit up with"
14"She shrugged, her shoulders barely"
15"Evan's gaze roved over her"
16"he said, his voice a"
17"Aurora raised an eyebrow, unsure"
18"The truth was, she'd spent"
19"The sharp jawline was softer,"
ratio0.754
87.72% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences57
matches
0"Just as the bartender handed"
ratio0.018
89.29% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount3
matches
0"The smile was a little too wide, a little too forced, but it was still the same charming smile that had once disarmed her so completely."
1"The bartender, sensing the tension between them, wisely kept his distance, busying himself with polishing a mug."
2"The sharp jawline was softer, the eyes less bright, and the once-chiseled features now seemed worn, as if the weight of time had finally caught up with him."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount6
matches
0"he said, his voice a little too soft"
1"she asked, her voice a little sharper than she'd intended"
2"Evan said, his voice low"
3"he said, his voice a gentle rumble"
4"he said, his voice a little softer"
5"he said, his voice low"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount0
fancyTags(empty)
dialogueSentences24
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
78.6972%