Run: 2026-05-10-01KR8WKN5NZPQR0AB6GS8ZPC25

Run Details

Duration:
1m 22s
Cost:
$0.000617
Provider:
DekaLLM

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 green neon of The Raven’s Nest flickered, casting a rhythmic, sickly light across the wet pavement of the Soho alley. Aurora pushed through the heavy oak door, the chime of the bell swallowed by the low hum of a jazz record and the clink of glassware. The air inside tasted of spilled gin and old paper. Silas leaned against the back bar, his auburn hair catching the dim light. He moved with the slow, measured grace of a man who had seen everything and judged none of it. His left leg dragged slightly as he reached for a clean glass. “Rough shift, Rory?” Aurora wiped a smudge of grease from her forearm, her fingers lingering near the small crescent scar on her left wrist. “The delivery route through Mayfair took twice as long as usual. Traffic was a nightmare.” “Sit. I’ll pour you something that doesn’t come in a paper bag.” The bar was nearly empty. A few shadows huddled in the corners, silhouettes against the walls of black-and-white photographs and faded nautical maps. Aurora slid onto a stool, the cracked leather groaning under her weight. She watched Silas work. He moved with a quiet authority, the silver signet ring on his right hand flashing as he polished the rim of a tumbler. A woman stepped out of the shadows of the corner booth. The movement caught Aurora’s eye. She froze. The woman wore a tailored cream trench coat that looked like it cost more than Aurora’s monthly rent. A strand of pearls caught the green neon glow. She didn't belong in a place that smelled of damp sawdust and regret. The stranger stopped three feet from the bar. The scent of expensive jasmine drifted toward Aurora, slicing through the bar’s heavy musk. “Rory?” The voice was a ghost. It carried the soft, melodic lilt of the Welsh valleys, a sound that had no business in the heart of London. Aurora’s heart hammered against her ribs. She looked up, her blue eyes widening. “Eva.” Eva Ellis looked polished. Her hair, once a wild mane of curls that always escaped her ponytail, was now a sleek, controlled bob. The softness of her face had hardened into something sharp and intentional. She looked like the kind of woman who had conquered the boardroom, not the girl who had sat on the floor of a cramped Cardiff flat, helping Aurora pack a single suitcase in the middle of the night. Eva reached out, her manicured fingers hovering near Aurora’s sleeve before dropping. “You look… different.” Aurora looked down at her own hands. Her nails were short, her skin stained with the faint, stubborn grime of the city. “It’s the lighting in here. Silas keeps it dim for a reason.” Eva pulled out the stool next to Aurora, the movement fluid and practiced. She didn't wait for an invitation. “I heard you were in London. I didn't think I’d actually find you in a place like this.” Aurora gripped the edge of the bar. The wood felt rough beneath her palms. “It’s a good place. Quiet. No one asks for a law degree or a reason for being here.” Eva’s gaze drifted to the wall of maps. She traced the outline of an ocean she had never crossed. “You were going to be someone, Rory. A barrister. You had that spark. That way of looking at a problem and seeing the exit before anyone else even saw the wall.” Aurora felt the weight of the unsaid. She thought of the textbooks gathering dust in a box somewhere, and the way her breath used to hitch every time a door slammed too hard. “People change. Sometimes they just want to be invisible.” Eva leaned in, the jasmine scent intensifying. Her eyes, once bright with shared secrets, now felt like they were searching for something that no longer existed. “Is that what you’re doing? Hiding?” “I’m working, Eva. There’s a difference.” A heavy silence settled between them, filled only by the scratchy trumpet solo from the speakers. Silas moved to the far end of the bar, giving them a wide berth, his eyes observant but unreadable. Eva reached into her handbag and pulled out a slim, leather-bound planner. She set it on the bar with a deliberate click. “I’m running the firm now. The one my father started. It’s… it’s everything we thought it would be.” Aurora managed a tight smile. “Congratulations. You always were better at the climb than I was.” “It isn't just a climb. It's a life. I thought about calling you. A thousand times. Every time a case closed, or a promotion came through.” Aurora turned her head to watch a droplet of condensation slide down her water glass. “Why didn’t you?” Eva’s expression flickered, a crack appearing in the polished porcelain of her face. She looked away, toward the dark street visible through the window. “Because I didn't know who I was supposed to be talking to. The Rory who wanted to change the world, or the Rory who ran away from a man and a life because she couldn't breathe?” The question hung in the air, sharp and jagged. Aurora felt the sting of it in the pit of her stomach. “I didn't run. I moved.” “You fled.” Eva turned back, her eyes flashing with a sudden, familiar fire. The girl from Cardiff was still there, buried under the silk and the pearls. “You left me there to pick up the pieces, Rory. I was the one who had to explain to your mother why you weren't coming home for Christmas. I was the one who had to listen to your father’s disappointment for six months.” Aurora’s fingers traced the crescent scar on her wrist, a repetitive, soothing motion. “I couldn't stay. You know that. If I had stayed, I wouldn't be sitting here. I’d be… I’d be nothing.” “You are nothing here,” Eva whispered, the words landing with the force of a blow. Aurora flinched. She looked at the woman beside her—the success, the poise, the impeccable life. Then she looked at herself, the delivery driver, the ghost in the Soho night. “At least I’m not pretending,” Aurora said, her voice steady despite the tremor in her hands. Eva straightened her coat, the movement stiff. She stood up, her height bolstered by the sheer force of her composure. “I didn't come here to fight. I just… I wanted to see if you were still in there.” “And?” Eva looked at her, a long, searching look that stripped away the layers of the last few years. She saw the exhaustion in the lines around Aurora’s eyes, the way she held herself with a guarded stillness. “I don't think I'll find her for a long time. If ever.” Eva reached into her bag, pulled out a business card, and slid it across the damp wood of the bar. It was heavy, cream-colored cardstock with gold embossed lettering. “If you ever decide you want to be more than a shadow, call me.” Aurora didn't touch the card. She watched as Eva turned, her heels clicking a rhythmic, expensive cadence against the floorboards. The heavy oak door swung open, letting in a gust of cold, damp London air before clicking shut behind her. The silence that followed was heavier than before. Silas approached, his limp more pronounced in the quiet. He set a small glass of amber liquid in front of Aurora. “She seems like a lot of work.” Aurora stared at the business card. The gold lettering shimmered under the green neon. “She is.” She picked up the glass. The liquid burned a path down her throat, warm and sharp, but it did nothing to settle the hollow space in her chest. She looked up at the maps on the wall, at the lines marking borders and oceans, wondering how many of them were just ways to keep things apart.
created_at"2026-05-10T12:08:20.413Z" 5/10/2026, 12:08:20 PM
model"google/gemma-4-26b-a4b-it-20260403"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1450
moderation_latency(null)
generation_time82273
tokens_prompt1094
tokens_completion3689
native_tokens_prompt1000
native_tokens_completion1689
native_tokens_completion_images(null)
native_tokens_reasoning1575
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00061737
router(null)
provider_responses
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endpoint_id"d99bcbe6-bec3-4991-965e-45fea79fe63c"
id"chatcmpl-f20880e549f1377b2316c2adff92e2f4"
is_byokfalse
latency1450
model_permaslug"google/gemma-4-26b-a4b-it-20260403"
provider_name"DekaLLM"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778414900-iD8jNjrI35TPZm9AMd4f"
session_id(null)
api_type"completions"
id"gen-1778414900-ixFVSvFPFOvT5NSCbuYX"
upstream_id"chatcmpl-f20880e549f1377b2316c2adff92e2f4"
total_cost0.00061737
cache_discount(null)
upstream_inference_cost0
provider_name"DekaLLM"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences30
tagDensity0.067
leniency0.133
rawRatio0
effectiveRatio0
96.21% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1320
totalAiIsmAdverbs1
found
0
adverb"slightly"
count1
highlights
0"slightly"
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)
31.82% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1320
totalAiIsms18
found
0
word"flickered"
count2
1
word"rhythmic"
count2
2
word"measured"
count1
3
word"weight"
count2
4
word"lilt"
count1
5
word"traced"
count2
6
word"silence"
count2
7
word"unreadable"
count1
8
word"porcelain"
count1
9
word"stomach"
count1
10
word"familiar"
count1
11
word"silk"
count1
12
word"shimmered"
count1
highlights
0"flickered"
1"rhythmic"
2"measured"
3"weight"
4"lilt"
5"traced"
6"silence"
7"unreadable"
8"porcelain"
9"stomach"
10"familiar"
11"silk"
12"shimmered"
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
narrationSentences76
matches
0"felt the sting"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences76
filterMatches
0"look"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences104
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen43
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1319
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
29.83% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions50
wordCount957
uniqueNames10
maxNameDensity2.4
worstName"Aurora"
maxWindowNameDensity3.5
worstWindowName"Aurora"
discoveredNames
Raven1
Nest1
Soho2
Silas4
Aurora23
Welsh1
London2
Ellis1
Cardiff2
Eva13
persons
0"Raven"
1"Nest"
2"Silas"
3"Aurora"
4"Ellis"
5"Eva"
places
0"Soho"
1"London"
2"Cardiff"
globalScore0.298
windowScore0.5
36.36% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences66
glossingSentenceCount3
matches
0"looked like it cost more than Aurora’s mo"
1"looked like the kind of woman who had con"
2"felt like they were searching for somet"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1319
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences104
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs64
mean20.61
std15.53
cv0.754
sampleLengths
057
144
23
321
415
512
662
711
847
922
101
1126
1213
131
1473
1512
163
1722
1812
1919
2018
2114
2218
2319
2431
2533
269
2726
286
296
3035
3122
3218
335
3411
3526
3615
373
3824
3936
4021
415
422
4325
4443
4513
4620
4715
4829
4916
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences76
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs136
matches
0"were searching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences104
ratio0.01
matches
0"She looked at the woman beside her—the success, the poise, the impeccable life."
88.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount962
adjectiveStacks2
stackExamples
0"slim, leather-bound planner."
1"heavy, cream-colored cardstock"
adverbCount22
adverbRatio0.02286902286902287
lyAdverbCount5
lyAdverbRatio0.005197505197505198
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences104
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences104
mean12.68
std7.98
cv0.629
sampleLengths
021
126
210
313
419
512
63
721
815
912
105
1118
1212
134
1423
1511
165
172
1818
199
2013
218
2214
231
245
2521
266
277
281
294
3019
3112
3238
3312
343
357
3615
3712
3813
396
4018
417
427
4318
448
4511
4631
477
4826
499
46.15% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.23076923076923078
totalSentences104
uniqueOpeners24
45.05% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences74
matches
0"Then she looked at herself,"
ratio0.014
90.27% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount24
totalSentences74
matches
0"He moved with the slow,"
1"His left leg dragged slightly"
2"She watched Silas work."
3"He moved with a quiet"
4"She didn't belong in a"
5"It carried the soft, melodic"
6"She looked up, her blue"
7"Her hair, once a wild"
8"She looked like the kind"
9"Her nails were short, her"
10"She didn't wait for an"
11"She traced the outline of"
12"She thought of the textbooks"
13"Her eyes, once bright with"
14"She set it on the"
15"She looked away, toward the"
16"She looked at the woman"
17"She stood up, her height"
18"She saw the exhaustion in"
19"It was heavy, cream-colored cardstock"
ratio0.324
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount72
totalSentences74
matches
0"The green neon of The"
1"Aurora pushed through the heavy"
2"The air inside tasted of"
3"Silas leaned against the back"
4"He moved with the slow,"
5"His left leg dragged slightly"
6"Aurora wiped a smudge of"
7"The bar was nearly empty."
8"Aurora slid onto a stool,"
9"She watched Silas work."
10"He moved with a quiet"
11"A woman stepped out of"
12"The movement caught Aurora’s eye."
13"The woman wore a tailored"
14"A strand of pearls caught"
15"She didn't belong in a"
16"The stranger stopped three feet"
17"The scent of expensive jasmine"
18"The voice was a ghost."
19"It carried the soft, melodic"
ratio0.973
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences74
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount2
matches
0"He moved with the slow, measured grace of a man who had seen everything and judged none of it."
1"She looked like the kind of woman who had conquered the boardroom, not the girl who had sat on the floor of a cramped Cardiff flat, helping Aurora pack a single…"
0.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount1
matches
0"Aurora said, her voice steady despite the tremor in her hands"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"Eva whispered (whisper)"
dialogueSentences30
tagDensity0.067
leniency0.133
rawRatio0.5
effectiveRatio0.067
78.7899%