Run: 2026-02-19-01KHTRE089QB6T2EBV5V68ZC7J

Run Details

Duration:
17.5s
Cost:
$0.002410
Provider:
OpenAI

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
The old Tube station lay drenched in shadows, the faint hum of distant London life muffled by thick concrete walls. Detective Harlow Quinn’s boots echoed sharply on the cracked tiles as she ducked beneath yellow police tape fluttering in the stale air. She stood tall, her sharp jaw set beneath a hooded leather jacket, that worn leather watch on her left wrist catching faint glimmers from the flickering emergency lights. “Looks like a scene from a bad dream,” murmured DS Ellis, the younger detective tailing her. He stood near the skeletal remains sprawled on the platform edge. Quinn’s eyes narrowed. The body was arranged almost deliberately—hands folded across the chest, knees bent as if in repose, but the face was twisted grotesquely, frozen mid-scream. The usual markers of a struggle—fingerprints, scuffed shoes, signs of forced entry—were absent. Ellis crouched to examine the dirt-streaked ground. “Some kind of ritual, maybe? That’s what the locals are whispering upstairs.” Quinn shook her head, scanning the scene. “Ritual? Don’t jump to folklore just yet.” She squared her shoulders. Seconds before, they’d been called to this abandoned station beneath Camden because of a report: a young woman found dead, no ID, nothing matching any missing persons lists. “This doesn’t fit any typical M.O.,” she said. “No forced entry, no weapon nearby, no signs of a fight. No wounds consistent with a struggle.” Her gaze drifted over the grimy walls where someone had scrawled symbols in faded paint—twisted loops and sigils that shimmered faintly, like they blurred at the edges of vision. Ellis glanced at Quinn’s face, noticing her usual steely calm faltering. “What’s the verdict?” She knelt beside the corpse, fingertips barely brushing the cracked porcelain pendant at the woman’s throat. Odd, Quinn thought, none of this made sense. The pendant was cold to the touch, heavier than expected, etched with strange, minute glyphs. “Ever heard of the Veil Market?” Ellis asked quietly. Quinn shot him a look. “I’m aware.” Ellis hesitated. “Some say the woman was last seen near Camden Market... at night. There’s talk she had dealings with the Market. Met with someone—someone dangerous.” Quinn’s gaze sharpened. “The Veil Market moves every full moon,” she said. “It shouldn’t be here, not now. This place isn’t on the map anymore.” Her eyes flicked to the edge of the platform where something metallic shimmered half-buried beneath debris. She dug it free—an ancient brass compass, its casing mottled with verdigris. The needle spun wildly before settling, pointing toward a fissure in the wall. The face of the compass bore etched sigils that pulsed faintly in the flickering light. “How did she get this?” Quinn whispered, turning the Veil Compass over in her hands. “This artisan work’s no common trinket.” Ellis drew closer, leaning in. “Says here it points toward supernatural rifts or portals. Something connected to the Market.” “Then we’re not just dealing with a random death,” Quinn mused, standing again, her brown eyes scanning the station’s vast darkness. “It wasn’t just murder. It was ... something else.” Ellis looked uneasy, fingers curling the collar of his jacket. “You think she stumbled into something she wasn’t supposed to?” Quinn’s jaw tightened. “Not think. I know.” She trained her gaze on the jagged fissure wedged between two tiles, barely visible. “Look closer. The crack—it’s not natural. It’s a rift.” “Like a portal?” Ellis asked. “A doorway,” Quinn said. “And someone—or something—came through it.” Ellis swallowed hard, eyes darting around the desolation. “So, who killed her? What’s the connection?” Quinn’s stare returned to the corpse, tracing the lines of bruising too subtle to register immediately, pulsing with an unnatural coldness. “Not all wounds bleed.” Ellis frowned, drawing his note pad. “You see anything we’re missing?” She crouched again, fingers brushing away a smear of dust near the body to reveal faint footprints—too irregular to be human. “Look here. The prints... shallow, uneven. Not made by feet.” Quinn uncovered several more around the platform. “They don’t match any shoe in the system. Neither police nor civilian.” Ellis leaned forward, peering at the floor. “Could be someone wearing something... strange?” “These don’t belong to anything normal,” Quinn said. “They’re malformed—like something shifting its shape.” Ellis blinked. “Shape-shifters? Like legends?” Quinn’s lips curled in a grim smile. “You don’t get to be a detective with 18 years on the force by chasing legends. But sometimes, the shadows prove real.” She knelt by the edge where the rift yawned open, a wavy distortion blurring the chipped tiles. She pulled the compass from her pocket again. The needle spun faster, pointing directly at the rift. “She was here, at this exact spot. Something drew her.” Her eyes caught a faint shimmer crossing the far wall—an echo of movement. “She’s not the only one,” Quinn said quietly. Ellis shifted uncomfortably. “Do we close this? Seal the rift?” “Not yet,” Quinn said, glancing over her shoulder at the decrepit station, its walls holding secrets older than the city. “We find out who or what uses it first.” Ellis met her gaze, determination flickering. “I get it. This isn’t just a crime scene anymore.” Quinn nodded, pocketing the compass. The market's whispers were coming alive beneath their feet. And she wasn’t about to let another partner’s death go unavenged—especially one wrapped in shadows no one else dared confront.
created_at"2026-02-19T10:51:47.854Z" 2/19/2026, 10:51:47 AM
model"openai/gpt-4.1-mini-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency424
moderation_latency(null)
generation_time17419
tokens_prompt1149
tokens_completion1532
native_tokens_prompt1010
native_tokens_completion1254
native_tokens_completion_images0
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"completed"
usage0.0024104
router(null)
provider_responses
0
endpoint_id"872eccb7-9c85-45fc-974a-ff7c8e2407e6"
id"resp_0cac16a70badcd3c016996eb43ee4c819787f3437b83771747"
is_byokfalse
latency108
model_permaslug"openai/gpt-4.1-mini-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771498307-vPXdUQIST0mhocPxKddw"
upstream_id"resp_0cac16a70badcd3c016996eb43ee4c819787f3437b83771747"
total_cost0.0024104
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
94.74% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags18
adverbTagCount2
adverbTags
0"Ellis asked quietly [quietly]"
1"Quinn said quietly [quietly]"
dialogueSentences38
tagDensity0.474
leniency0.947
rawRatio0.111
effectiveRatio0.105
88.84% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount896
totalAiIsmAdverbs2
found
0
adverb"sharply"
count1
1
adverb"deliberately"
count1
highlights
0"sharply"
1"deliberately"
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)
33.04% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount896
totalAiIsms12
found
0
word"echoed"
count1
1
word"scanning"
count2
2
word"shimmered"
count2
3
word"porcelain"
count1
4
word"etched"
count2
5
word"flicked"
count1
6
word"pulsed"
count1
7
word"tracing"
count1
8
word"echo"
count1
highlights
0"echoed"
1"scanning"
2"shimmered"
3"porcelain"
4"etched"
5"flicked"
6"pulsed"
7"tracing"
8"echo"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"eyes widened/narrowed"
count1
highlights
0"eyes narrowed"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells1
narrationSentences55
matches
0"looked uneasy"
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)
analyzedSentences75
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen47
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords882
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions11
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount577
uniqueNames9
maxNameDensity3.12
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Tube1
London1
Harlow1
Quinn18
Ellis14
Seconds1
Camden1
Veil1
Compass1
persons
0"Harlow"
1"Quinn"
2"Ellis"
3"Compass"
places
0"London"
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences38
glossingSentenceCount0
matches(empty)
86.62% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords1.134
wordCount882
matches
0"Neither police nor"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences75
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs35
mean25.2
std15.2
cv0.603
sampleLengths
070
127
240
319
446
554
614
739
89
97
1026
1141
1240
1321
1419
1530
1620
1730
185
199
2015
2125
2211
2321
2429
2513
2614
275
2846
2940
308
3110
3229
3316
3434
92.50% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences55
matches
0"was arranged"
1"was twisted"
2"been called"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs113
matches
0"were coming"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences7
totalSentences75
ratio0.093
matches
0"The body was arranged almost deliberately—hands folded across the chest, knees bent as if in repose, but the face was twisted grotesquely, frozen mid-scream."
1"The usual markers of a struggle—fingerprints, scuffed shoes, signs of forced entry—were absent."
2"“No forced entry, no weapon nearby, no signs of a fight. No wounds consistent with a struggle.” Her gaze drifted over the grimy walls where someone had scrawled symbols in faded paint—twisted loops and sigils that shimmered faintly, like they blurred at the edges of vision."
3"She dug it free—an ancient brass compass, its casing mottled with verdigris."
4"She crouched again, fingers brushing away a smear of dust near the body to reveal faint footprints—too irregular to be human."
5"“She was here, at this exact spot. Something drew her.” Her eyes caught a faint shimmer crossing the far wall—an echo of movement."
6"And she wasn’t about to let another partner’s death go unavenged—especially one wrapped in shadows no one else dared confront."
94.69% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount588
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.04081632653061224
lyAdverbCount15
lyAdverbRatio0.025510204081632654
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences75
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences75
mean11.76
std8.54
cv0.726
sampleLengths
020
122
228
316
411
53
624
713
87
912
107
1111
1228
138
1446
1511
163
1716
188
1915
209
215
222
232
2424
253
269
2729
2812
2913
3015
3115
326
335
3414
3521
369
3710
3810
393
4018
419
425
434
445
458
467
4721
484
496
69.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats3
diversityRatio0.44
totalSentences75
uniqueOpeners33
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences48
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount12
totalSentences48
matches
0"She stood tall, her sharp"
1"He stood near the skeletal"
2"She squared her shoulders"
3"Her gaze drifted over the"
4"She knelt beside the corpse,"
5"Her eyes flicked to the"
6"She dug it free—an ancient"
7"She trained her gaze on"
8"She crouched again, fingers brushing"
9"She knelt by the edge"
10"She pulled the compass from"
11"Her eyes caught a faint"
ratio0.25
1.67% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount44
totalSentences48
matches
0"The old Tube station lay"
1"Detective Harlow Quinn’s boots echoed"
2"She stood tall, her sharp"
3"He stood near the skeletal"
4"Quinn’s eyes narrowed."
5"The body was arranged almost"
6"The usual markers of a"
7"Ellis crouched to examine the"
8"Quinn shook her head, scanning"
9"She squared her shoulders"
10"Her gaze drifted over the"
11"Ellis glanced at Quinn’s face,"
12"She knelt beside the corpse,"
13"The pendant was cold to"
14"Ellis asked quietly"
15"Quinn shot him a look."
16"Quinn’s gaze sharpened."
17"Her eyes flicked to the"
18"She dug it free—an ancient"
19"The needle spun wildly before"
ratio0.917
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences48
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences17
technicalSentenceCount1
matches
0"The body was arranged almost deliberately—hands folded across the chest, knees bent as if in repose, but the face was twisted grotesquely, frozen mid-scream."
69.44% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags18
uselessAdditionCount2
matches
0"murmured DS Ellis, the younger detective tailing her"
1"She knelt, a wavy distortion blurring the chipped tiles"
71.05% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount3
fancyTags
0"murmured DS Ellis (murmur)"
1"Quinn whispered (whisper)"
2"She knelt (kneel)"
dialogueSentences38
tagDensity0.289
leniency0.579
rawRatio0.273
effectiveRatio0.158
76.7309%