Run: 2026-02-19-01KHTQXPGBHMZXV2NC8GYCSM8W

Run Details

Duration:
32.9s
Cost:
$0.000696
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 Raven's Nest was crowded for a Tuesday night, bodies packed close together like matches in a drawer. Smoke hung in the air, mingling with the sharp scent of spilled whiskey and the faint undertone of sour beer. Aurora pushed through the crowd, her usual table at the back already occupied by a trio of suits arguing over sports scores. She knew better than to try to talk to Silas tonight. The bar was his ship to steer, and he wouldn't step aside to chat, not during all hands on deck. Instead, she made her way up to the bar, holding her position against a tide of people with practiced ease. She’d perfected the art of looking unapproachable, a queen of frost who spoke in arctic glances and sharp shoulders. Everyone in this bar wanted something from her, whether it was the time of day or a piece of her mind. As she waited for the bartender to finish serving the drink that would surely be forgotten as soon as it hit the table, Aurora caught sight of a familiar face in the mirror behind the bar. Recognizing the reflection felt like gnawing on a piece of ice—cool, unexpected, and just a little bit painful. The man staring back at her was Evan, her ex from Cardiff. It had been three years since she'd left him, taking only her clothes and the ashes of her respect as she fled to London. He was the reason she hadn't been back to Wales, not even to see her parents. Seeing him again after all these months, Aurora felt a strange sense of displacement. He hadn't changed much — still had the same well-trimmed beard, the same wire-rim glasses, the same look of quiet entitlement. But his hair had gone from chestnut to silver, the same color as the threads of a dandelion clock. "You look good, Rory," Evan said, sliding up beside her. His voice was softer now, worn down by the years. "Different, but still good." She flinched at the nickname, a reflex any dog would've been proud of. "I go by Laila now," she said flatly. "Aurora's dead." She paused, considering whether to turn and face him or keep her eyes on the bartender's steady hands wrapping a fresh twist of lime around the cocktail's rim. She settled on something in between, her gaze flickering over her reflection and settling on the halo of light dancing over the bottles of liquor. Evan had the grace to look abashed, rubbing the back of his neck like he'd just been caught nicking sweets from a corner store. "Right, of course. Laila, then." "I've moved on," Aurora continued, hoping that her voice sounded colder than the ice chilling her drink. "I'm not the same person you knew." "I can see that," Evan said softly, glancing around at the dark wood, the warm halo of green neon light from the sign outside. "This place suits you, though. It's got that… same edge." He meant it as a compliment, she knew, but it felt more like a imitation of one. She remembered how his words could slip past her defenses, wrapping around her heart with the ease of poison ivy. Ignoring the twist of her scar under her sleeve, Aurora turned to face him fully. "What are you doing in London?" she asked bluntly. "I could ask you the same thing," Evan replied, smiling that same lopsided grin that had always managed to charm her. "But I suppose that's not an answer." "I live here now," Aurora said, her tone biting with irritation. She didn't owe him any explanations, not after everything he'd done. "London's always been my city." A city that had sheltered her when she needed it most, nestled beneath the shadow of its great stone heart. "I see," Evan said, his eyes hollowing out with regret. "Listen, Rory—Laila, I'm sorry about what happened. I was… I was out of line, and I wish I could take it back." "That's not how apologies work," Aurora said, her voice sharper than the rim of her glass. "You can't just take back the things you've said, the things you've done." She thought of the ash in her mouth, the taste of her own self-respect as she'd fled from him. "I know that," Evan said, his voice barely rising above the murmur of the crowd. "But I've wished it often enough, in the empty moments when there's nothing else to think about but the weight of a thousand 'what ifs?'" Aurora felt an old, familiar ache blooming in her chest, the ghost of the bruise that had never quite healed over. She wanted to tell him to leave, to walk out of this smoky room and never look back, but the words lodged in her throat, trapped by the memories of all they'd once shared. She took a long sip from her drink, letting the sharp tang of citrus and the staggering weight of her own desire to flee fight for supremacy in the confines of her skull. "I've changed," Evan promised, his voice rising above the din of clinking glasses and raucous laughter. "I've grown, and I've learned from my mistakes." "People don't change," Aurora said flatly, the burn of her drink still lingering on her tongue. "They just become better at hiding who they really are." She'd learned that lesson the hard way, watching the masks slip and the knives come out when she least expected them. "I'd like to prove you wrong," Evan said, his tone so earnest it almost hurt to hear it. "Can we start over? Maybe get out of this bar and find someplace quieter to talk?" Aurora considered her options, the scales in her head weighing the desire to reconnect with an old friend against the very real possibility that nothing had changed. She dismissed the bartender with a nod as he slid her drink across the bar, the glass still wet from the chill of the ice that clung to it. "Fine," she said, her voice as brittle as the stem of the glass she'd just released. "But just for a little while." She wasn't promising anything more than that, not yet. "Let's go someplace quiet, then. Somewhere we can really talk."
created_at"2026-02-19T10:42:53.583Z" 2/19/2026, 10:42:53 AM
model"nousresearch/hermes-3-llama-3.1-70b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency228
moderation_latency(null)
generation_time32822
tokens_prompt1115
tokens_completion1483
native_tokens_prompt1002
native_tokens_completion1317
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"
usage0.0006957
router(null)
provider_responses
0
endpoint_id"2151651b-f4e9-4db7-b20d-8b91fb524bf8"
id"cmpl-21fde24ec18546619b90bdcea003ef43"
is_byokfalse
latency54
model_permaslug"nousresearch/hermes-3-llama-3.1-70b"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771497773-cmn44bBSBrRXbN8DsCnP"
upstream_id"cmpl-21fde24ec18546619b90bdcea003ef43"
total_cost0.0006957
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
totalTags17
adverbTagCount4
adverbTags
0"she said flatly [flatly]"
1"Evan said softly [softly]"
2"she asked bluntly [bluntly]"
3"Aurora said flatly [flatly]"
dialogueSentences29
tagDensity0.586
leniency1
rawRatio0.235
effectiveRatio0.235
80.92% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1048
totalAiIsmAdverbs4
found
0
adverb"softly"
count1
1
adverb"really"
count2
2
adverb"very"
count1
highlights
0"softly"
1"really"
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)
42.75% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1048
totalAiIsms12
found
0
word"practiced ease"
count1
1
word"familiar"
count2
2
word"sense of"
count1
3
word"dancing"
count1
4
word"chilling"
count1
5
word"charm"
count1
6
word"weight"
count2
7
word"desire"
count2
8
word"chill"
count1
highlights
0"practiced ease"
1"familiar"
2"sense of"
3"dancing"
4"chilling"
5"charm"
6"weight"
7"desire"
8"chill"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"hung in the air"
count1
highlights
0"hung in the air"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences48
matches
0"t with regret"
83.33% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount2
narrationSentences48
filterMatches(empty)
hedgeMatches
0"try to"
1"managed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences58
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen36
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1044
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions16
unquotedAttributions0
matches(empty)
83.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions26
wordCount839
uniqueNames9
maxNameDensity1.19
worstName"Aurora"
maxWindowNameDensity2.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest1
Tuesday1
Silas1
Aurora10
Evan9
Cardiff1
London1
Wales1
persons
0"Raven"
1"Silas"
2"Aurora"
3"Evan"
places
0"Cardiff"
1"London"
2"Wales"
globalScore0.904
windowScore0.833
95.65% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences46
glossingSentenceCount1
matches
0"felt like gnawing on a piece of ice—coo"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1044
matches(empty)
51.72% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount2
totalSentences58
matches
0"hoping that her"
1"learned that lesson"
66.61% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs24
mean43.5
std16.67
cv0.383
sampleLengths
091
160
254
352
454
524
676
729
824
934
1037
1124
1228
1347
1432
1548
1640
1755
1833
1924
2047
2134
2256
2341
90.64% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences48
matches
0"was crowded"
1"been caught"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs133
matches(empty)
44.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences58
ratio0.034
matches
0"Recognizing the reflection felt like gnawing on a piece of ice—cool, unexpected, and just a little bit painful."
1"He hadn't changed much — still had the same well-trimmed beard, the same wire-rim glasses, the same look of quiet entitlement."
95.51% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount842
adjectiveStacks0
stackExamples(empty)
adverbCount38
adverbRatio0.04513064133016627
lyAdverbCount8
lyAdverbRatio0.009501187648456057
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences58
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences58
mean18
std7.59
cv0.422
sampleLengths
018
120
222
311
420
520
619
721
836
918
1012
1124
1216
1314
1421
1519
1610
1710
184
1913
208
2130
2225
2324
245
2517
267
2724
2810
2917
3020
3115
329
3321
347
3511
3611
3725
3810
3922
4016
4132
4215
4325
4421
4534
4633
4716
488
4916
76.44% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5
totalSentences58
uniqueOpeners29
69.44% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences48
matches
0"Instead, she made her way"
ratio0.021
45.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences48
matches
0"She knew better than to"
1"She’d perfected the art of"
2"It had been three years"
3"He was the reason she"
4"He hadn't changed much —"
5"His voice was softer now,"
6"She flinched at the nickname,"
7"she said flatly"
8"She paused, considering whether to"
9"She settled on something in"
10"He meant it as a"
11"She remembered how his words"
12"she asked bluntly"
13"She didn't owe him any"
14"She thought of the ash"
15"She wanted to tell him"
16"She took a long sip"
17"She'd learned that lesson the"
18"She dismissed the bartender with"
19"she said, her voice as"
ratio0.438
22.50% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount42
totalSentences48
matches
0"The Raven's Nest was crowded"
1"Smoke hung in the air,"
2"Aurora pushed through the crowd,"
3"She knew better than to"
4"The bar was his ship"
5"She’d perfected the art of"
6"Everyone in this bar wanted"
7"The man staring back at"
8"It had been three years"
9"He was the reason she"
10"He hadn't changed much —"
11"Evan said, sliding up beside"
12"His voice was softer now,"
13"She flinched at the nickname,"
14"she said flatly"
15"She paused, considering whether to"
16"She settled on something in"
17"Evan had the grace to"
18"Aurora continued, hoping that her"
19"Evan said softly, glancing around"
ratio0.875
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences48
matches(empty)
ratio0
68.97% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences29
technicalSentenceCount3
matches
0"She’d perfected the art of looking unapproachable, a queen of frost who spoke in arctic glances and sharp shoulders."
1"As she waited for the bartender to finish serving the drink that would surely be forgotten as soon as it hit the table, Aurora caught sight of a familiar face i…"
2"She settled on something in between, her gaze flickering over her reflection and settling on the halo of light dancing over the bottles of liquor."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags17
uselessAdditionCount5
matches
0"Evan said, his eyes hollowing out with regret"
1"Aurora said, her voice sharper than the rim of her glass"
2"Evan said, his voice barely rising above the murmur of the crowd"
3"Aurora said flatly, the burn of her drink still lingering on her tongue"
4"Evan said, his tone so earnest it almost hurt to hear it"
81.03% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount2
fancyTags
0"Aurora continued (continue)"
1"Evan promised (promise)"
dialogueSentences29
tagDensity0.483
leniency0.966
rawRatio0.143
effectiveRatio0.138
73.2728%