Run: 2026-02-19-01KHTQXDY2Y6MCYPNF0X5QQZ6N

Run Details

Duration:
4.3s
Cost:
$0.000454
Provider:
Infermatic

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 haze of smoke and din of voices enveloped Aurora as she pushed open the door to "The Raven's Nest," the name of the Soho dive bar etched in neon green letters on the window. She surveyed the dimly lit interior, the walls covered with old maps and black-and-white photographs - a place ripe for lost souls to duck in for a drink, or three. Rory had ducked in for a drink, an escape from the endless parade of faces passing by on the street outside the bar where she worked for a megalomaniac restaurant owner. She needed an escape from the drudgery that had become her life, from the regret that haunted her like a ghost. "Well, what do we have here?" A voice cut through her thoughts, smooth as silk. Rory turned to see the source - a man in his late fifties, grey-streaked auburn hair and beard neatly trimmed, hazel eyes gleaming with mischief beneath bushy brows. He stood with a slight limp in his left leg, bracing himself against the worn wooden bar. One hand absentmindedly toyed with a silver signet ring on his right hand. "Silas Blackwood," Rory said, her lips curving into a smile. "Or should I say, the Spymaster?" The old nickname slipped out unbidden, transporting them back to a different time, a different life. Years ago, Silas had been Aurora's mentor, teaching her the tricks of espionage when she was a bright young thing at MI6. He had always kept her at arm's length, an unspoken boundary between the rookie agent and her tutor. "There's only one person who would dare call me that," Silas replied, his gaze sharp. "Can't say I expected to run into you here, Rory. It's been what, five years?"
created_at"2026-02-19T10:42:44.808Z" 2/19/2026, 10:42:44 AM
model"thedrummer/rocinante-12b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency297
moderation_latency(null)
generation_time4162
tokens_prompt1115
tokens_completion416
native_tokens_prompt1045
native_tokens_completion385
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"
usage0.00045375
router(null)
provider_responses
0
endpoint_id"caf29916-6adb-45f8-b895-dd863415d3ed"
id"chatcmpl-770887e5-48d1-457a-92eb-8a374c5c1bd9"
is_byokfalse
latency136
model_permaslug"thedrummer/rocinante-12b"
provider_name"Infermatic"
status200
api_type"completions"
id"gen-1771497764-MGqJYy19ACInbjrlwvKY"
upstream_id"chatcmpl-770887e5-48d1-457a-92eb-8a374c5c1bd9"
total_cost0.00045375
cache_discount(null)
upstream_inference_cost0
provider_name"Infermatic"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.5
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount293
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
31.74% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount293
totalAiIsms4
found
0
word"etched"
count1
1
word"silk"
count1
2
word"gleaming"
count1
3
word"unspoken"
count1
highlights
0"etched"
1"silk"
2"gleaming"
3"unspoken"
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
narrationSentences13
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences13
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences15
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen35
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords292
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions4
unquotedAttributions0
matches(empty)
90.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions8
wordCount250
uniqueNames4
maxNameDensity1.2
worstName"Rory"
maxWindowNameDensity1.5
worstWindowName"Rory"
discoveredNames
Aurora2
Soho1
Rory3
Silas2
persons
0"Aurora"
1"Rory"
2"Silas"
places
0"Soho"
globalScore0.9
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences12
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount292
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences15
matches(empty)
89.89% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs7
mean41.71
std19.38
cv0.465
sampleLengths
065
152
215
358
416
556
630
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences13
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs30
matches(empty)
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences2
totalSentences15
ratio0.133
matches
0"She surveyed the dimly lit interior, the walls covered with old maps and black-and-white photographs - a place ripe for lost souls to duck in for a drink, or three."
1"Rory turned to see the source - a man in his late fifties, grey-streaked auburn hair and beard neatly trimmed, hazel eyes gleaming with mischief beneath bushy brows."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount251
adjectiveStacks0
stackExamples(empty)
adverbCount5
adverbRatio0.0199203187250996
lyAdverbCount3
lyAdverbRatio0.01195219123505976
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences15
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences15
mean19.47
std8
cv0.411
sampleLengths
035
130
231
321
415
528
617
713
810
96
1016
1122
1218
1315
1415
100.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.7333333333333333
totalSentences15
uniqueOpeners11
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences13
matches(empty)
ratio0
96.92% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount4
totalSentences13
matches
0"She surveyed the dimly lit"
1"She needed an escape from"
2"He stood with a slight"
3"He had always kept her"
ratio0.308
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount12
totalSentences13
matches
0"The haze of smoke and"
1"She surveyed the dimly lit"
2"Rory had ducked in for"
3"She needed an escape from"
4"A voice cut through her"
5"Rory turned to see the"
6"He stood with a slight"
7"Rory said, her lips curving"
8"The old nickname slipped out"
9"Years ago, Silas had been"
10"He had always kept her"
11"Silas replied, his gaze sharp"
ratio0.923
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences13
matches(empty)
ratio0
63.49% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences9
technicalSentenceCount1
matches
0"She needed an escape from the drudgery that had become her life, from the regret that haunted her like a ghost."
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount2
matches
0"Rory said, her lips curving into a smile"
1"Silas replied, his gaze sharp"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount0
fancyTags(empty)
dialogueSentences6
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
79.0682%