Run: 2026-02-19-01KHT0JXYQPJZENEHRMGRGDTPC

Run Details

Duration:
15.4s
Cost:
$0.002951
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
Detective Harlow Quinn clicked her boots down the cracked platform of the abandoned Camden tube station, eyes narrowing. The sickly yellow flicker of one working lamp cast long shadows across the cracked tile and graffiti-streaked walls. She took in the place with a hard glance — the scent of damp concrete and something metallic filled the air. It was rare for her to meet a callout below ground, let alone here, where no ordinary crime had any reason to unfold. She clipped the patina-green Veil Compass from her satchel to her belt. The little brass instrument didn’t move now — its needle quivered, lingering on some invisible point beneath her feet. “You sure this is where the body was found?” The voice came from her right. Eva Kowalski stood a few steps behind, eyes sharp behind round glasses, her curly red hair barely tamed under her hood. Her hands gripped her worn leather satchel as if it held all the answers. “The coroner’s report states the body was retrieved from a service tunnel just beyond the platform. The victim was a man, early thirties, cause of death sealed off as blunt trauma. But there’s oddities.” Quinn didn’t look at Eva. Instead, she crouched beside a smear of dried blood on the cracked tile. The blood didn’t pool or drip in any way that made sense. No wheel marks, no shells. The victim’s coat had no rips, no dirt or grime consistent with a fall down the old tunnels. “No weapon in sight,” Quinn murmured. Her fingers brushed a splintered fragment of wood wedged in the tile crack. “No signs of a struggle apart from this. Whoever hit him, or it, must have had control.” Eva shifted closer, lowering her voice. “The coroner mentioned a faint residue of alchemical compounds. Not blood, not typical toxins. The kind you’d find on charms or protective wards.” “Hmmm.” Quinn’s eyes flicked to the darkened tunnel entrance to their left, a yawning maw leading into blackness. “If we’re dealing with something ordinary, it’s hidden well. What if we’re not?” Eva’s lips twitched. “I thought you’d say that. The victim was connected to the Market—.” “The Veil,” Quinn interrupted, straightening. She wrenched the worn leather watch from her wrist and glanced at the cracked face. Time stretched thin like a net about to tear. “You think they tangled with it again? That black market moves every full moon under some bone-token right of entry. This place looks like it hasn’t been alive since the war.” Eva nodded. “The custodian I spoke to at the British Museum implied so. This site was known as a crossroads for secret dealings decades ago. The victim’s alchemical markers align with those sold at the Market.” Quinn felt the rough brass of the Veil Compass weigh against her hip. “Then we’re looking at something old and dangerous.” Her eyes caught a fresh set of footprints leading away from the blood smear toward the shadowed tracks. “But the timeline doesn’t fit. The victim’s death happened last night, but these footprints look older — cracked, layered with dust. They couldn’t have made them after the body hit the platform.” Eva frowned and pulled out a small notepad, her fingers flying over faded notes. “Then someone staged the scene. Tried to make it look old. But what for? To warn off investigators? Or to cover a trail?” A soft growl echoed from far inside the tunnel, low and guttural. Quinn froze, muscles taut. “Did you hear that?” Eva’s fingers tightened on her satchel strap. “Probably the wind. Or rats.” Quinn folded her arms, her eyes scanning for anything that didn’t belong. “The way the blood pooled, the old prints... And now that noise. All signs point to someone wanting us to miss the truth. Or maybe to lure us in.” Eva glanced to the tunnel’s dark throat. “You think the killer’s still here?” “Could be.” Quinn slid her hand to her hip where an unholstered baton hung. “Or worse.” Moving forward, Quinn’s boots barely made a sound on the cracked tiles. Eva followed close, holding a small flash device buzzing with faint blue light. “There,” Quinn whispered, pointing at the far wall. Scrawled there in chipped paint was a sigil — a circle with intersecting lines, half-faded but unmistakable to her trained eye. “Protective, but incomplete,” Eva said. “Doesn’t guard against physical intrusion, more like warding an area from observation.” “Then why be here?” Quinn asked aloud. “If the victim was marked with this and the signs are here, someone wanted to hide what they were doing beneath the watchers’ gaze.” Eva rubbed the bridge of her nose and looked back where they had come from. “Did you check your Compass just now?” Quinn glanced down. The needle spun wildly, then snapped north towards the tunnel depth. She swallowed dry. “It’s pointing deeper in.” “We should follow it. Carefully.” Quinn hesitated, tracing a finger along a long scratch on the concrete baseboard. “Or we lead whatever’s in here right to us.” Eva tilted her head, eyes probing. “What if the victim’s death wasn’t about a fight at all? What if he was bait?” Quinn’s lips thinned. “Bait for what?” “Something on the other side of that tunnel.” Eva tapped a finger against her satchel, where ancient tomes and research whispered secrets. “The Market’s roots go deeper than anyone admits. Those relics point to rifts in reality — portals. The Compass only points to those.” A sudden clatter came from the opposite side of the platform — a metal can rolling, stuttering to a stop. Both women turned sharply. “Stay sharp,” Quinn muttered. Steeling herself, she moved toward the noise, Eva closing behind her. The tunnel yawned black ahead, the compass needle sharp and unyielding. “Quinn, wait.” Eva’s voice was tight. “I found something.” She held up a small bone token, twisted and carved — the kind needed for Market entry, she explained breathlessly. Quinn snatched it, examining the grooves. “So it’s true. The Market’s tied to this death.” From the tunnel’s deep shadow came a whisper-like hiss. “Who’s there?” Quinn barked, voice low and rough. No answer. Eva held the token close, whispering under her breath in a strange cadence. A faint shimmer began in the dark—edges of the air flickered as if rippling heat. The compass needle wrenched to the shimmer, pulsating like a heartbeat. “Not a body dumped here,” Quinn said, voice steady. “This was a trap set, by someone who knows what’s beneath this platform.” Eva touched her glasses, nerves evident in the way she tucked her hair behind her left ear. “Either to catch the victim or to catch us.” Quinn’s gaze hardened. “Then we don’t run. We see what’s lurking in the dark.” The wall behind them suddenly erupted — the faint shimmer cracked open like a mirror breaking, revealing a warped, flickering space beyond. The whistle of wind carried voices not quite human. Quinn didn’t flinch. She gripped her baton and stepped forward, every taut muscle ready. Whatever hunted in the tunnel had made its move — and it was waiting. But before they crossed the threshold, she glanced at Eva. “No mistakes.” Eva nodded, clenching her satchel as the veil between worlds twisted wide open before them.
created_at"2026-02-19T03:55:03.521Z" 2/19/2026, 3:55:03 AM
model"openai/gpt-4.1-mini-2025-04-14"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency470
moderation_latency(null)
generation_time15216
tokens_prompt1149
tokens_completion1950
native_tokens_prompt1010
native_tokens_completion1592
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"
usage0.0029512
router(null)
provider_responses
0
endpoint_id"872eccb7-9c85-45fc-974a-ff7c8e2407e6"
id"resp_000448a1dba8094f016996899797a48197b0d0df6825043542"
is_byokfalse
latency99
model_permaslug"openai/gpt-4.1-mini-2025-04-14"
provider_name"OpenAI"
status200
api_type"completions"
id"gen-1771473303-51L51qyKUtrsAptvVtIz"
upstream_id"resp_000448a1dba8094f016996899797a48197b0d0df6825043542"
total_cost0.0029512
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags14
adverbTagCount1
adverbTags
0"Quinn asked aloud [aloud]"
dialogueSentences43
tagDensity0.326
leniency0.651
rawRatio0.071
effectiveRatio0.047
87.56% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1206
totalAiIsmAdverbs3
found
0
adverb"carefully"
count1
1
adverb"sharply"
count1
2
adverb"suddenly"
count1
highlights
0"carefully"
1"sharply"
2"suddenly"
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)
58.54% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1206
totalAiIsms10
found
0
word"flicker"
count1
1
word"quivered"
count1
2
word"flicked"
count1
3
word"maw"
count1
4
word"echoed"
count1
5
word"scanning"
count1
6
word"tracing"
count1
7
word"whisper"
count1
8
word"flickered"
count1
9
word"clenching"
count1
highlights
0"flicker"
1"quivered"
2"flicked"
3"maw"
4"echoed"
5"scanning"
6"tracing"
7"whisper"
8"flickered"
9"clenching"
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
narrationSentences70
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences70
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences98
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen34
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1210
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions14
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions51
wordCount742
uniqueNames11
maxNameDensity2.83
worstName"Quinn"
maxWindowNameDensity5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn21
Camden1
Veil2
Compass2
Eva19
Kowalski1
Moving1
Scrawled1
Steeling1
Market1
persons
0"Harlow"
1"Quinn"
2"Compass"
3"Eva"
4"Kowalski"
places(empty)
globalScore0.085
windowScore0
51.96% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences51
glossingSentenceCount2
matches
0"as if rippling heat"
1"not quite human"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1210
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences98
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs42
mean28.81
std22.76
cv0.79
sampleLengths
0111
115
269
389
429
531
615
760
836
971
1037
1112
128
1312
1441
1513
1616
1754
1817
1931
2022
2121
225
2322
2422
256
2645
2724
2826
2929
3015
319
328
332
3439
3522
3626
3714
3831
3928
4012
4115
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences70
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs131
matches
0"was waiting"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount8
semicolonCount0
flaggedSentences8
totalSentences98
ratio0.082
matches
0"She took in the place with a hard glance — the scent of damp concrete and something metallic filled the air."
1"The little brass instrument didn’t move now — its needle quivered, lingering on some invisible point beneath her feet."
2"Scrawled there in chipped paint was a sigil — a circle with intersecting lines, half-faded but unmistakable to her trained eye."
3"A sudden clatter came from the opposite side of the platform — a metal can rolling, stuttering to a stop."
4"“I found something.” She held up a small bone token, twisted and carved — the kind needed for Market entry, she explained breathlessly."
5"A faint shimmer began in the dark—edges of the air flickered as if rippling heat."
6"The wall behind them suddenly erupted — the faint shimmer cracked open like a mirror breaking, revealing a warped, flickering space beyond."
7"Whatever hunted in the tunnel had made its move — and it was waiting."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount739
adjectiveStacks1
stackExamples
0"sharp behind round glasses,"
adverbCount12
adverbRatio0.016238159675236806
lyAdverbCount8
lyAdverbRatio0.010825439783491205
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences98
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences98
mean12.35
std7.69
cv0.622
sampleLengths
018
118
221
323
412
519
615
721
814
934
105
1113
1212
135
1418
156
1613
1717
186
1923
2018
2113
223
2312
245
2515
269
2731
282
2934
3013
3126
3232
3314
3423
3512
364
374
387
395
4012
4129
427
436
4414
452
4612
4713
488
4921
67.01% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.40816326530612246
totalSentences98
uniqueOpeners40
51.28% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences65
matches
0"Instead, she crouched beside a"
ratio0.015
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount10
totalSentences65
matches
0"She took in the place"
1"It was rare for her"
2"She clipped the patina-green Veil"
3"Her hands gripped her worn"
4"Her fingers brushed a splintered"
5"She wrenched the worn leather"
6"Her eyes caught a fresh"
7"She swallowed dry."
8"She held up a small"
9"She gripped her baton and"
ratio0.154
13.85% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount58
totalSentences65
matches
0"Detective Harlow Quinn clicked her"
1"The sickly yellow flicker of"
2"She took in the place"
3"It was rare for her"
4"She clipped the patina-green Veil"
5"The little brass instrument didn’t"
6"The voice came from her"
7"Eva Kowalski stood a few"
8"Her hands gripped her worn"
9"Quinn didn’t look at Eva."
10"The blood didn’t pool or"
11"The victim’s coat had no"
12"Her fingers brushed a splintered"
13"Eva shifted closer, lowering her"
14"Quinn’s eyes flicked to the"
15"Eva’s lips twitched."
16"Quinn interrupted, straightening"
17"She wrenched the worn leather"
18"Time stretched thin like a"
19"Quinn felt the rough brass"
ratio0.892
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences65
matches(empty)
ratio0
81.63% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount3
matches
0"Her hands gripped her worn leather satchel as if it held all the answers."
1"Quinn folded her arms, her eyes scanning for anything that didn’t belong."
2"A faint shimmer began in the dark—edges of the air flickered as if rippling heat."
17.86% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags14
uselessAdditionCount3
matches
0"Quinn’s eyes flicked, a yawning maw leading into blackness"
1"Quinn barked, voice low and rough"
2"Quinn said, voice steady"
33.72% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount5
fancyTags
0"Quinn murmured (murmur)"
1"Quinn interrupted (interrupt)"
2"Quinn whispered (whisper)"
3"Quinn muttered (mutter)"
4"Quinn barked (bark)"
dialogueSentences43
tagDensity0.186
leniency0.372
rawRatio0.625
effectiveRatio0.233
75.2470%