Run: 2026-02-19-01KHTX3RW3DK08PPJG96632TG8

Run Details

Duration:
38.3s
Cost:
$0.007595
Provider:
Friendli

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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</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> <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> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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 rain fell in sheets, turning the London streets into a smear of neon and darkness. Detective Harlow Quinn’s lungs burned, a familiar fire that she pushed through, her boots slapping against the wet pavement with military precision. Her target, a lean figure in a dark hoodie, was fifty feet ahead and gaining. He moved with an unnatural fluidity, weaving through the late-night traffic like a fish in a current, never once stumbling on the slick cobblestones of Soho. Quinn’s worn leather watch, a gift from a life she no longer lived, felt cold and tight on her wrist. She ignored it. Her world had narrowed to the space between her and the man in the hoodie. This was the third break-in in a month linked to the same elusive clique, the one that had left her partner, DS Morris, dead on a warehouse floor with no explanation and no witnesses. Three years of dead ends and official reports that read like bad fiction. This time was different. This time, she was close enough to smell the chase. The suspect ducked sharply, disappearing down an alleyway choked with overflowing bins. Quinn followed, her hand instinctively going to the small of her back where her sidearm usually sat. Tonight, there was only the cold metal of a warrant card. Unofficial surveillance. Unofficial chase. Her sergeant would have her badge for this if she knew. Her sergeant wasn’t the one who saw Morris’s face in every shadow. The alley opened onto a wider street, the distinctive green neon sign of The Raven’s Nest a brief, blurry beacon to her left. The suspect didn’t even glance at it. He sprinted on, his legs pumping with a rhythm that defied exhaustion. Quinn’s own muscles screamed in protest. She was forty-one, not twenty-one, but the discipline was hard-wired. She matched his pace, the gap closing to thirty feet, then twenty. He veered north, towards Camden, the city’s character shifting from trendy bars to grittier, more industrial territory. The rain hammered down, plastering her salt-and-pepper hair to her skull. Water dripped from her sharp jawline. She could taste the city on her tongue: exhaust fumes, wet asphalt, and something else. A metallic, ozone tang that clung to her quarry. Then he was gone. Not around a corner. Not into a building. One moment he was there, a dark shape against the glow of a streetlamp, the next he was simply absent. Quinn skidded to a halt, her breathing ragged. The street was empty. A double-decker bus groaned past, its red paint gleaming, its windows showing her own distorted reflection: a woman drenched and furious. She scanned the area, her gaze sharp, missing nothing. A locked gate. A boarded-up storefront. Nothing. Except. An old Tube station entrance. The sign was gone, the tilework stained with decades of grime. A chain-link fence, topped with barbed wire, was supposed to block it off, but a section lay cut and peeled back, coiled on the ground like a dead snake. It was a place people walked past a hundred times a day and never saw. But Quinn saw it. She saw the faint scuff marks on the wet stone leading down into the darkness. She saw the small, pale object half-hidden near the first step. She approached cautiously, her hand resting on the grip of her empty holster. The air rising from the stairwell was different. Colder. It carried the scent of damp earth, spices she couldn't name, and that same metallic tang, stronger now. It was the smell of a locked room being opened for the first time in a century. Her eyes fell on the object on the step. It wasn't a coin. It was a token, carved from bone, smooth and unnervingly warm to the touch despite the chill. A intricate spiral pattern was etched into its surface. This was the key. The entry requirement. She remembered a fragment of a whispered report, a dismissed witness statement from the Morris case. Something about a market. A moving market. *The Veil Market*. Her radio crackled on her shoulder, a burst of static that resolved into nothing. No signal down here. Of course, no signal. She was on her own. Properly on her own. Protocol was clear. Call for backup. Secure the perimeter. Wait for the armed unit. This was an unknown environment, a potential tactical nightmare with no intel, no support, and an exit that might vanish at any moment. But protocol had let Morris die. Protocol had buried the truth under mountains of paperwork. Protocol was a cage, and she had been rattling the bars for three years. The suspect was down there. The answers were down there. The people who turned her partner into a closed case file were down there. She stood at the precipice of the stairwell, the rain a distant drumbeat above her. The city noise faded, replaced by a low, subterranean hum. She could hear whispers rising from the dark, a dozen languages tangled together, the clink of strange currency, the rustle of unseen things. This was it. The point of no return. To go down was to step off the map, to become a ghost in a world that shouldn't exist. To stay was to admit defeat, to turn her back on the one real lead she’d ever had. Quinn clenched her jaw, the decision solidifying in her gut, hard and final. She pocketed the bone token, her fingers wrapping around its strange warmth. She drew the torch from her belt, its beam a narrow spear of white light, and took the first step down into the black. The air grew thick, heavy with secrets. The walls were slick with condensation. And far below, just at the edge of the light, she saw him. The hooded figure. He glanced back, his face lost in shadow, and then he melted into a cavernous space that opened up before her, a space filled with a soft, ethereal glow and the impossible bustle of the Veil Market.
created_at"2026-02-19T12:13:35.498Z" 2/19/2026, 12:13:35 PM
model"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency132
moderation_latency(null)
generation_time37972
tokens_prompt1140
tokens_completion4370
native_tokens_prompt991
native_tokens_completion3182
native_tokens_completion_images(null)
native_tokens_reasoning2907
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"
usage0.007595
router(null)
provider_responses
0
endpoint_id"4929f6aa-3dc2-47ae-80fd-626ad6fd8199"
id"chatcmpl-0b562837e8724d63ace1b7b893490de3"
is_byokfalse
latency132
model_permaslug"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
provider_name"Friendli"
status200
api_type"completions"
id"gen-1771503215-8ekxxteK87aNgI5zrgXy"
upstream_id"chatcmpl-0b562837e8724d63ace1b7b893490de3"
total_cost0.007595
cache_discount(null)
upstream_inference_cost0
provider_name"Friendli"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
90.14% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1014
totalAiIsmAdverbs2
found
0
adverb"sharply"
count1
1
adverb"cautiously"
count1
highlights
0"sharply"
1"cautiously"
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)
45.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1014
totalAiIsms11
found
0
word"familiar"
count1
1
word"beacon"
count1
2
word"pumping"
count1
3
word"gleaming"
count1
4
word"scanned"
count1
5
word"chill"
count1
6
word"intricate"
count1
7
word"etched"
count1
8
word"resolved"
count1
9
word"potential"
count1
10
word"warmth"
count1
highlights
0"familiar"
1"beacon"
2"pumping"
3"gleaming"
4"scanned"
5"chill"
6"intricate"
7"etched"
8"resolved"
9"potential"
10"warmth"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches1
maxInWindow1
found
0
label"clenched jaw/fists"
count1
highlights
0"clenched her jaw"
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences94
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences94
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences94
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans1
markdownWords3
totalWords1003
ratio0.003
matches
0"The Veil Market"
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions25
wordCount1003
uniqueNames12
maxNameDensity0.7
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
London1
Harlow1
Quinn7
Soho1
Morris4
Raven1
Nest1
Camden1
Tube1
Veil2
Market2
Protocol3
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Raven"
4"Protocol"
places
0"London"
1"Soho"
2"Camden"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences60
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.997
wordCount1003
matches
0"not twenty-one, but the discipline was hard-wired"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences94
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs19
mean52.79
std29.81
cv0.565
sampleLengths
079
199
267
370
458
54
628
749
81
990
1057
1172
1231
1337
1429
1524
1648
1745
18115
86.60% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences94
matches
0"was gone"
1"was gone"
2"was supposed"
3"being opened"
4"was etched"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs152
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences94
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1014
adjectiveStacks0
stackExamples(empty)
adverbCount24
adverbRatio0.023668639053254437
lyAdverbCount8
lyAdverbRatio0.007889546351084813
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences94
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences94
mean10.67
std7.56
cv0.708
sampleLengths
016
122
215
326
420
53
615
734
813
94
1010
1112
1217
1311
142
152
1611
1712
1823
197
2012
216
2210
2312
2417
2511
266
2715
289
294
304
314
3220
338
344
3521
369
373
383
391
401
415
4211
4329
4415
454
4615
4711
4813
498
36.88% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats17
diversityRatio0.32978723404255317
totalSentences94
uniqueOpeners31
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences89
matches
0"Then he was gone."
1"Of course, no signal."
2"Properly on her own."
ratio0.034
89.66% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount29
totalSentences89
matches
0"Her target, a lean figure"
1"He moved with an unnatural"
2"She ignored it."
3"Her world had narrowed to"
4"Her sergeant would have her"
5"Her sergeant wasn’t the one"
6"He sprinted on, his legs"
7"She was forty-one, not twenty-one,"
8"She matched his pace, the"
9"He veered north, towards Camden,"
10"She could taste the city"
11"She scanned the area, her"
12"It was a place people"
13"She saw the faint scuff"
14"She saw the small, pale"
15"She approached cautiously, her hand"
16"It carried the scent of"
17"It was the smell of"
18"Her eyes fell on the"
19"It wasn't a coin."
ratio0.326
49.89% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount73
totalSentences89
matches
0"The rain fell in sheets,"
1"Detective Harlow Quinn’s lungs burned,"
2"Her target, a lean figure"
3"He moved with an unnatural"
4"Quinn’s worn leather watch, a"
5"She ignored it."
6"Her world had narrowed to"
7"This was the third break-in"
8"This time was different."
9"This time, she was close"
10"The suspect ducked sharply, disappearing"
11"Quinn followed, her hand instinctively"
12"Tonight, there was only the"
13"Her sergeant would have her"
14"Her sergeant wasn’t the one"
15"The alley opened onto a"
16"The suspect didn’t even glance"
17"He sprinted on, his legs"
18"Quinn’s own muscles screamed in"
19"She was forty-one, not twenty-one,"
ratio0.82
100.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount2
totalSentences89
matches
0"To go down was to"
1"To stay was to admit"
ratio0.022
82.07% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount4
matches
0"A double-decker bus groaned past, its red paint gleaming, its windows showing her own distorted reflection: a woman drenched and furious."
1"Her radio crackled on her shoulder, a burst of static that resolved into nothing."
2"This was an unknown environment, a potential tactical nightmare with no intel, no support, and an exit that might vanish at any moment."
3"The people who turned her partner into a closed case file were down there."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
92.6998%