Run: 2026-02-19-01KHSYYZFYGB2H6BK0NAYQS7Q9

Run Details

Duration:
47.6s
Cost:
$0.002070
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="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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
Detective Harlow Quinn ducked under the caution tape, her sharp jaw set as she surveyed the crime scene. The abandoned Tube station beneath Camden had an air of decay, with graffiti coating the tiled walls and old newspapers crunching underfoot. She sniffed. The musky odour of disuse hung heavy. "What have we got?" she asked, striding towards her colleague. Eva Kowalski, a freckled woman with curly red hair, looked up from a worn leather satchel full of books. Round glasses perched on her nose. "A body, female, mid-twenties." Eva tucked a strand of hair behind her ear. "No ID yet. But there's something odd..." "Odd how?" Quinn knelt beside the corpse, noting the lack of blood. The woman's green eyes stared glassily at the ceiling, her pale skin flawless. "No obvious cause of death. No injuries, no signs of struggle." Eva gestured at the victim's immaculate clothing - a high-end business suit, heels, gold jewellery. "Robbery wasn't a motive. She's still wearing a valuable watch and earrings." "Hmm." Quinn stood, glancing around the platform. An old timetable fluttered in the stale breeze. "What was she doing down here? This station's been closed for years." Eva shook her head. "Your guess is as good as mine, detective. But there is one other thing..." She held up an evidence bag containing a small brass compass. Its face was etched with unfamiliar symbols, the needle spinning erratically. "We found this in her pocket." Quinn took the compass, peering at it closely. The casing had a patina of verdigris, giving it an antique appearance. As she turned it in her gloved hands, the needle steadied, pointing deeper into the tunnel. "What do you think it is?" Eva asked. "Some kind of navigation device?" "Maybe." A frown creased Quinn's brow. "But I've never seen markings like these before. They almost look like...ritual symbols." Eva's eyes widened behind her glasses. "You mean this could be related to the occult?" "It's a possibility we can't rule out." Quinn bagged the compass. "I've learned to keep an open mind in this job. The supernatural has more of a foothold in this city than most people realize." "I'll do some research, see if I can identify those symbols." Eva hefted her satchel. "I have some contacts at the British Museum who might be able to shed some light." "Good. Let me know what you find out." Quinn glanced at her watch, the worn leather band loose on her wrist. "I'm going to look around, see if I can figure out what our victim was doing in this godforsaken place." As Eva headed back to the entrance, Quinn ventured further into the gloom, footsteps echoing. Her torch beam swept over the tracks, picking out rusted rails and cobwebs. Twenty minutes of searching yielded maddeningly little. No convenient dropped wallet or diary. No scrawled message in the dust. Just a sense that she was missing something vital. Frustrated, she returned to the corpse, studying it intently. Short nails. Soft palms. This woman was no tunnel-dweller. Yet something had drawn her to this desolate spot, alone and clutching a mysterious compass. Quinn's gaze fell on the victim's ring finger. A pale band of skin suggested she usually wore a ring there. A wedding ring? Engaged? The flesh was chafed, as if the ring had been removed recently, perhaps forcefully. She straightened abruptly, mind racing. The lack of defensive wounds didn't necessarily mean the victim knew her attacker. She could have been drugged or incapacitated by a pre-existing medical condition. And the removed ring implied a potential kidnapping, the compass left behind in the struggle. "You're right," she said as Eva returned. "This isn't adding up. But one thing's for sure - our girl wasn't here by choice." Eva's brow furrowed. "You think she was abducted?" "Possibly. Or lured here under false pretenses." Quinn tapped the compass. "This is our best lead. Keep digging into those markings." "I'm on it." Eva's expression was grim. "Whatever happened here...I have a feeling it's just the start of something bigger." "Aye," Quinn murmured, looking back at the eerie stillness of the tunnel. "This has the whiff of ritual about it. And that's never good news in our line of work." As they made their way out, leaving the body to be processed, Quinn's mind churned with dark possibilities. She'd have to tread carefully. In a case like this, even the most innocuous details could be steeped in malice. The game, it seemed, was afoot. And this particular hunt might take them into the shadows where London's monsters dwelled.
created_at"2026-02-19T03:26:41.452Z" 2/19/2026, 3:26:41 AM
model"nousresearch/hermes-3-llama-3.1-405b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency882
moderation_latency(null)
generation_time47233
tokens_prompt1184
tokens_completion1178
native_tokens_prompt1027
native_tokens_completion1043
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"
usage0.00207
router(null)
provider_responses
0
endpoint_id"3280e8f8-0960-400c-8284-2e03a0bcb446"
id"cmpl-cba51c1cea75402e8a89d34b6ff4ba78"
is_byokfalse
latency76
model_permaslug"nousresearch/hermes-3-llama-3.1-405b"
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771471601-jLjbq74QLlZS0GqEhyRa"
upstream_id"cmpl-cba51c1cea75402e8a89d34b6ff4ba78"
total_cost0.00207
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
totalTags14
adverbTagCount0
adverbTags(empty)
dialogueSentences30
tagDensity0.467
leniency0.933
rawRatio0
effectiveRatio0
93.45% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount763
totalAiIsmAdverbs1
found
0
adverb"carefully"
count1
highlights
0"carefully"
100.00% AI-ism character names
Target: 0 AI-default names (17 tracked, −20% each)
codexExemptions(empty)
found(empty)
100.00% AI-ism location names
Target: 0 AI-default location names (33 tracked, −20% each)
codexExemptions(empty)
found(empty)
27.92% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount763
totalAiIsms11
found
0
word"flawless"
count1
1
word"fluttered"
count1
2
word"etched"
count1
3
word"gloom"
count1
4
word"footsteps"
count1
5
word"echoing"
count1
6
word"racing"
count1
7
word"potential"
count1
8
word"furrowed"
count1
9
word"processed"
count1
10
word"churned"
count1
highlights
0"flawless"
1"fluttered"
2"etched"
3"gloom"
4"footsteps"
5"echoing"
6"racing"
7"potential"
8"furrowed"
9"processed"
10"churned"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences55
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences55
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences70
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords762
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
28.54% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount494
uniqueNames7
maxNameDensity2.43
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Eva"
discoveredNames
Harlow1
Quinn12
Tube1
Camden1
Eva11
Kowalski1
London1
persons
0"Harlow"
1"Quinn"
2"Camden"
3"Eva"
4"Kowalski"
places
0"London"
globalScore0.285
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount762
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences70
matches(empty)
58.84% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs26
mean29.31
std10.43
cv0.356
sampleLengths
049
135
220
325
438
527
646
736
813
919
1015
1135
1231
1341
1428
1528
1633
1738
1845
1923
208
2121
2220
2330
2438
2520
86.12% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences55
matches
0"was etched"
1"was chafed"
2"been removed"
3"been drugged"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs88
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences70
ratio0.014
matches
0"\"No obvious cause of death. No injuries, no signs of struggle.\" Eva gestured at the victim's immaculate clothing - a high-end business suit, heels, gold jewellery."
96.46% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount495
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.03636363636363636
lyAdverbCount12
lyAdverbRatio0.024242424242424242
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences70
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences70
mean10.89
std5.77
cv0.53
sampleLengths
018
122
22
37
410
519
66
713
87
912
1013
1126
1212
137
148
1512
164
1725
1811
196
208
2112
2216
238
245
256
2613
276
289
2911
3024
3115
3216
3321
3420
3515
3613
377
386
396
409
419
422
432
445
4515
468
4712
483
491
84.76% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.5428571428571428
totalSentences70
uniqueOpeners38
66.67% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences50
matches
0"Just a sense that she"
ratio0.02
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount8
totalSentences50
matches
0"she asked, striding towards her"
1"She held up an evidence"
2"Its face was etched with"
3"Her torch beam swept over"
4"She straightened abruptly, mind racing."
5"She could have been drugged"
6"she said as Eva returned"
7"She'd have to tread carefully."
ratio0.16
90.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount37
totalSentences50
matches
0"Detective Harlow Quinn ducked under"
1"The abandoned Tube station beneath"
2"The musky odour of disuse"
3"she asked, striding towards her"
4"Eva Kowalski, a freckled woman"
5"Eva tucked a strand of"
6"Quinn knelt beside the corpse,"
7"The woman's green eyes stared"
8"Eva gestured at the victim's"
9"Quinn stood, glancing around the"
10"An old timetable fluttered in"
11"Eva shook her head."
12"She held up an evidence"
13"Its face was etched with"
14"Quinn took the compass, peering"
15"The casing had a patina"
16"A frown creased Quinn's brow"
17"Eva's eyes widened behind her"
18"Quinn bagged the compass"
19"Eva hefted her satchel"
ratio0.74
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences50
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences18
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags4
fancyCount1
fancyTags
0"Quinn murmured (murmur)"
dialogueSentences30
tagDensity0.133
leniency0.267
rawRatio0.25
effectiveRatio0.067
87.7589%