Run: 2026-02-19-01KHSZ15QSF81PP27MYT8QXSE1

Run Details

Duration:
10.2s
Cost:
$0.023485
Provider:
Azure

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 stepped out of the unmarked police car, her worn leather watch catching the dim light of the streetlamp above. The abandoned Tube station beneath Camden loomed ahead, its entrance a gaping maw in the earth. She adjusted her coat, the chill of the night air biting at her skin, and descended the cracked stone steps with military precision. At the bottom, the Veil Market sprawled out in a labyrinth of stalls and shadowy figures. The usual hum of illicit trade was absent, replaced by the eerie silence of a crime scene. Harlow's sharp jaw tightened as she surveyed the area, her brown eyes taking in every detail. "Quinn, over here," called a voice from her left. She turned to see Detective Inspector Markham, a burly man with a perpetually furrowed brow, standing near a makeshift barricade. He gestured for her to follow, leading her deeper into the Market. "What's the situation?" Harlow asked, her voice steady. "Body was found about an hour ago," Markham replied. "No ID, but the scene's... unusual." They reached a small clearing where a group of officers stood around a tarp-covered figure. Harlow knelt beside the body, lifting the edge of the tarp to reveal a young woman with curly red hair and round glasses. Her freckled complexion was pale, and her eyes stared blankly at the ceiling. "Eva Kowalski," Harlow muttered, recognizing the face from the files. "Aurora's friend." Markham nodded. "Looks like she was involved in something she shouldn't have been." Harlow's eyes narrowed. "What makes you say that?" Markham pointed to the woman's satchel, which lay open nearby. "Found this. Full of books on the occult. And this." He handed Harlow a small brass compass, its face etched with protective sigils and the casing covered in a patina of verdigris. The needle spun erratically. "A Veil Compass," Harlow said, her mind racing. "Points to supernatural rifts or portals." "Exactly," Markham said. "She was probably trying to find something here and got herself killed." Harlow stood, her gaze sweeping the area. "Something doesn't add up. The Market's usually packed on nights like this. Why is it empty?" Markham shrugged. "Word gets around. People clear out when there's trouble." Harlow shook her head. "No, it's more than that. Look at the stalls. They're still set up, merchandise left behind. This wasn't a planned evacuation." She walked over to one of the stalls, examining the items on display. Enchanted trinkets, alchemical substances, and ancient tomes lay untouched. Her eyes fell on a bone token, the entry requirement for the Market, lying on the ground. "Someone wanted everyone out in a hurry," she said, picking up the token. "But why?" Markham frowned. "You think this was staged?" "Possibly," Harlow replied. "But by whom, and for what purpose?" She turned back to the body, her mind working through the possibilities. Eva had been an occult researcher, well-versed in ancient history and the supernatural. If she had been searching for something specific, it had to be important. "Check her satchel," Harlow said. "See if there's anything that stands out." Markham rummaged through the satchel, pulling out a worn leather journal. He handed it to Harlow, who flipped through the pages. Eva's meticulous notes detailed her research into various supernatural phenomena, but one entry caught Harlow's eye. "Here," she said, pointing to a passage. "She was looking for a rift that opens every full moon. Tonight's the full moon." Markham's eyes widened. "You think she found it?" "Maybe," Harlow said. "But if she did, someone didn't want her to." She closed the journal and looked around the Market again. "We need to find that rift." Markham nodded. "I'll get the team to start searching." As the officers spread out, Harlow's mind raced. Eva had been close to something, something dangerous enough to clear out the entire Market. But what? She walked over to the body again, examining the area around it. There were no signs of a struggle, no defensive wounds. Eva had been taken by surprise. "Quinn," Markham called. "Over here." Harlow joined him at the far end of the Market, where a faint glow emanated from a crack in the wall. The Veil Compass's needle pointed directly at it. "Looks like we found our rift," Markham said. Harlow nodded. "But why kill Eva? What was she trying to do?" Markham shrugged. "Maybe she was trying to close it." Harlow's eyes narrowed. "Or maybe she was trying to open it." She approached the rift, the glow intensifying as she got closer. The air around it felt charged, like the calm before a storm. "Get the equipment," she ordered. "We need to stabilize this before it gets out of hand." As the officers set up their gear, Harlow's mind raced. Eva had been on the verge of a breakthrough, but someone had stopped her. Someone who knew the Market and its secrets. "Markham," she said, her voice low. "We need to find out who cleared the Market. Someone here knows more than they're letting on." Markham nodded. "I'll start questioning the vendors." Harlow watched him go, her mind working through the possibilities. Eva's death was just the beginning. There was more at play here, something bigger than any of them realized. As the rift pulsed with energy, Harlow knew one thing for certain: the answers lay within the shadows of the Veil Market. And she was determined to uncover them, no matter the cost.
created_at"2026-02-19T03:27:53.088Z" 2/19/2026, 3:27:53 AM
model"openai/gpt-4o-2024-05-13"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency815
moderation_latency(null)
generation_time10037
tokens_prompt1149
tokens_completion1426
native_tokens_prompt1010
native_tokens_completion1229
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"
usage0.023485
router(null)
provider_responses
0
endpoint_id"ef6b0afa-fd92-4db6-96e0-b8f0e5e4734b"
id"chatcmpl-DAozhg8KdYcFvRAdIlKj5oFwJooZv"
is_byokfalse
latency497
model_permaslug"openai/gpt-4o-2024-05-13"
provider_name"Azure"
status200
api_type"completions"
id"gen-1771471673-m17EOcVM61XUsSH9GMlE"
upstream_id"chatcmpl-DAozhg8KdYcFvRAdIlKj5oFwJooZv"
total_cost0.023485
cache_discount(null)
upstream_inference_cost0
provider_name"Azure"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags15
adverbTagCount0
adverbTags(empty)
dialogueSentences41
tagDensity0.366
leniency0.732
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount909
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
33.99% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount909
totalAiIsms12
found
0
word"loomed"
count1
1
word"maw"
count1
2
word"chill"
count1
3
word"silence"
count1
4
word"furrowed"
count1
5
word"etched"
count1
6
word"racing"
count1
7
word"raced"
count2
8
word"charged"
count1
9
word"pulsed"
count1
10
word"determined"
count1
highlights
0"loomed"
1"maw"
2"chill"
3"silence"
4"furrowed"
5"etched"
6"racing"
7"raced"
8"charged"
9"pulsed"
10"determined"
33.33% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches3
maxInWindow3
found
0
label"eyes widened/narrowed"
count3
highlights
0"eyes narrowed"
1"eyes widened"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences69
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences69
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences95
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen23
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords907
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
totalMentions60
wordCount643
uniqueNames11
maxNameDensity3.42
worstName"Harlow"
maxWindowNameDensity5
worstWindowName"Harlow"
discoveredNames
Harlow22
Quinn1
Tube1
Camden1
Veil3
Market8
Detective2
Inspector1
Markham14
Compass1
Eva6
persons
0"Harlow"
1"Quinn"
2"Camden"
3"Market"
4"Markham"
5"Compass"
6"Eva"
places(empty)
globalScore0
windowScore0
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences45
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount907
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences95
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs44
mean20.61
std13.01
cv0.631
sampleLengths
061
149
29
332
48
515
651
712
813
98
1020
1126
1214
1315
1423
1511
1625
1739
1815
197
2010
2138
2212
2337
2422
258
2612
2716
289
2925
3028
315
3229
338
3412
359
3611
3723
3816
3932
4023
417
4229
4333
95.09% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences69
matches
0"been taken"
1"was determined"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs111
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences95
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount645
adjectiveStacks0
stackExamples(empty)
adverbCount13
adverbRatio0.020155038759689922
lyAdverbCount6
lyAdverbRatio0.009302325581395349
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences95
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences95
mean9.55
std5.66
cv0.593
sampleLengths
022
116
223
316
417
516
69
720
812
98
109
116
1215
1323
1413
1510
162
172
1811
193
205
2110
2210
2322
244
258
266
273
2812
297
3016
312
329
334
3421
3513
369
3717
3813
392
402
415
423
437
4412
4513
4613
475
487
4911
70.18% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats0
diversityRatio0.42105263157894735
totalSentences95
uniqueOpeners40
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences53
matches(empty)
ratio0
99.25% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount16
totalSentences53
matches
0"She adjusted her coat, the"
1"She turned to see Detective"
2"He gestured for her to"
3"They reached a small clearing"
4"Her freckled complexion was pale,"
5"He handed Harlow a small"
6"She walked over to one"
7"Her eyes fell on a"
8"she said, picking up the"
9"She turned back to the"
10"He handed it to Harlow,"
11"she said, pointing to a"
12"She closed the journal and"
13"She walked over to the"
14"She approached the rift, the"
15"she said, her voice low"
ratio0.302
54.34% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount43
totalSentences53
matches
0"Detective Harlow Quinn stepped out"
1"The abandoned Tube station beneath"
2"She adjusted her coat, the"
3"The usual hum of illicit"
4"Harlow's sharp jaw tightened as"
5"She turned to see Detective"
6"He gestured for her to"
7"Harlow asked, her voice steady"
8"They reached a small clearing"
9"Harlow knelt beside the body,"
10"Her freckled complexion was pale,"
11"Harlow muttered, recognizing the face"
12"Harlow's eyes narrowed."
13"Markham pointed to the woman's"
14"He handed Harlow a small"
15"The needle spun erratically."
16"Harlow said, her mind racing"
17"Harlow stood, her gaze sweeping"
18"Harlow shook her head."
19"She walked over to one"
ratio0.811
94.34% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences53
matches
0"If she had been searching"
ratio0.019
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount0
matches(empty)
25.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags15
uselessAdditionCount3
matches
0"Harlow asked, her voice steady"
1"Harlow said, her mind racing"
2"she said, her voice low"
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags14
fancyCount2
fancyTags
0"Harlow muttered (mutter)"
1"she ordered (order)"
dialogueSentences41
tagDensity0.341
leniency0.683
rawRatio0.143
effectiveRatio0.098
83.5173%