Run: 2026-02-19-01KHV72HMSZPCY5AJKMMH73E5N

Run Details

Duration:
38.4s
Cost:
$0.023703
Provider:
Anthropic

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 came sideways, driven by a wind that cut through Soho like something with a grudge. Quinn turned up her collar and kept moving, her boots finding the wet pavement with each stride, eyes fixed on the figure forty metres ahead. He was quick, whoever he was. Short, compact, moving with the kind of purpose that told her he knew exactly where he was going. He'd bolted the moment she'd stepped into the Raven's Nest and clocked her warrant card on the bar—hadn't even finished his drink. The green neon of the bar's sign had painted him in sickly light as he'd shouldered through the door, and she'd been after him before the frame had stopped swinging. Now she was losing ground. "Stop. Metropolitan Police." He ducked left around a bin lorry idling outside a restaurant, vanished briefly between two parked vans, then reappeared further up the street at a full sprint. A couple pressed themselves against a wall as he blew past. Quinn flashed her badge at them out of habit and kept running. Her radio crackled. "Backup's five minutes out, Quinn. What's your twenty?" "Camden direction, heading north on Wardour." She vaulted a fold-up table someone had left on the pavement, sending menus scattering into the rain. "He's moving fast. I'm not waiting five minutes." She cut the radio before dispatch could argue. The man glanced back once, and that single look told her something. Not fear, exactly. Calculation. He was measuring the gap between them, running some kind of equation in his head, and whatever the answer was it made him turn sharply right, off the main road and into a narrower street, the kind that hadn't been widened since the Victorian era. Quinn rounded the corner and the rain hit her full in the face. She blinked it away. He was at the far end of the alley, crouching at a set of old iron railings set into the ground. A hatch. He hauled it open and dropped through without a second's hesitation, pulling it shut above him. The clang of it rang off the alley walls and dissolved into the noise of the city. She reached the hatch in under ten seconds, went to her knee beside it, hand braced against the wet brick of the adjacent wall. Up close, the iron was old and pitted with rust, but the hinges had been recently oiled—they moved without protest when she tested them, lifting the hatch an inch, and a smell rolled up out of the dark below. Candle wax, sawdust, something herbal and dry and faintly chemical underneath it all. Not a maintenance shaft. Not a utility access. Something else entirely. She'd worked enough of this city to know what its guts looked like. This was different. Quinn sat on her heels for a moment, rain driving against the back of her neck, listening. Somewhere below, she could hear movement. Footsteps, and beneath them, much further down, a low and indistinct sound, almost like conversation, almost like a market floor heard through several walls. Three years ago she'd have gone in immediately, no hesitation, because that was what you did when you had a suspect on the run. Three years ago Morris had been beside her and the world had made a certain logical shape. Then Morris was gone—gone in a way the inquest report hadn't come close to explaining, in circumstances that Quinn had turned over in her mind so many times that the edges were worn smooth—and she'd learned to pause where she'd once moved. She lifted the hatch fully and shone her torch into the gap. A ladder, iron, descending into dark. Below it, the ladder met a platform, and from the platform a passage ran at an angle, strung with lights she couldn't quite identify, orange and amber and uneven. She went down. The hatch closed above her with a sound like a full stop, and the noise of the rain and the city vanished. The air changed. Warmer than it had any right to be underground, and carrying those layered smells more strongly now—the wax and herbs, something sharper beneath, something she associated with chemistry sets and hospital corridors. The passage sloped and curved, and the lights along the walls were not electric. They were small glass vessels containing a slow amber burn, mounted at intervals, and they threw a warmth that torchlight cut through without quite displacing. She kept her torch high anyway and her free hand near her hip. The sound grew. Voices, not conversation but commerce—the specific rhythm of haggling, of transactions being negotiated, of a dozen separate exchanges happening in parallel. And beneath that, music from no instrument she could identify, a low and modal sound that settled into the bones differently than sound usually did. She came around a final bend and stopped. The old tube station opened before her like a cathedral turned inside out. The platform was still there, still wearing its tiles and its curved ceiling, but the space had been consumed by something else entirely. Stalls ran the length of the platform and spilled onto the track bed, covered with objects she had no immediate category for. She registered glass jars and leather parcels, racks of clothing and stacked crates, items behind glass cases that caught the amber light strangely. The people moving between stalls were dressed in no consistent register—some in ordinary street clothes, some in things that suggested other eras or other sensibilities. The crowd was not large but it was dense with intention. Nobody had noticed her yet. She scanned for her suspect, found nothing. He was in there, somewhere. Then a hand closed around her elbow, and she spun, coming around with her torch raised. Tomás Herrera looked at it the way a man looks at something that could hurt him but probably won't. "Detective." His accent carried its Sevillian origin softly. He released her arm and took a deliberate step back, hands open and away from his body. The Saint Christopher at his throat caught the light. "You cannot be here."
created_at"2026-02-19T15:07:41.404Z" 2/19/2026, 3:07:41 PM
model"anthropic/claude-4.6-sonnet-20260217"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency608
moderation_latency(null)
generation_time37973
tokens_prompt1140
tokens_completion1528
native_tokens_prompt1126
native_tokens_completion1355
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"
usage0.023703
router(null)
provider_responses
0
endpoint_id"6d408764-7dd7-4626-bb87-a6cc1589bc86"
id"msg_019zjti2iqwYcePn4kpQRkwy"
is_byokfalse
latency608
model_permaslug"anthropic/claude-4.6-sonnet-20260217"
provider_name"Anthropic"
status200
api_type"completions"
id"gen-1771513661-mBvfJuLAshaXN9PlSaTL"
upstream_id"msg_019zjti2iqwYcePn4kpQRkwy"
total_cost0.023703
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags2
adverbTagCount0
adverbTags(empty)
dialogueSentences6
tagDensity0.333
leniency0.667
rawRatio0
effectiveRatio0
90.23% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1024
totalAiIsmAdverbs2
found
0
adverb"sharply"
count1
1
adverb"softly"
count1
highlights
0"sharply"
1"softly"
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)
80.47% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1024
totalAiIsms4
found
0
word"footsteps"
count1
1
word"electric"
count1
2
word"warmth"
count1
3
word"scanned"
count1
highlights
0"footsteps"
1"electric"
2"warmth"
3"scanned"
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
narrationSentences65
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount0
narrationSentences65
filterMatches(empty)
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences69
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen45
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1016
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions15
wordCount986
uniqueNames10
maxNameDensity0.51
worstName"Quinn"
maxWindowNameDensity1
worstWindowName"Morris"
discoveredNames
Soho1
Raven1
Nest1
Victorian1
Morris2
Quinn5
Herrera1
Sevillian1
Saint1
Christopher1
persons
0"Morris"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
places
0"Soho"
1"Raven"
globalScore1
windowScore1
50.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences50
glossingSentenceCount2
matches
0"looked like"
1"quite identify, orange and amber and uneven"
3.15% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches2
per1kWords1.969
wordCount1016
matches
0"not conversation but commerce"
1"not large but it was dense with intention"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences69
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs30
mean33.87
std28.8
cv0.85
sampleLengths
042
176
25
33
450
53
68
731
88
961
1017
1156
1276
1311
1416
1547
1683
1712
1835
193
2057
2152
2249
238
24117
255
2612
2716
2819
2938
78.27% Passive voice overuse
Target: ≤2% passive sentences
passiveCount5
totalSentences65
matches
0"been widened"
1"was gone"
2"being negotiated"
3"been consumed"
4"were dressed"
76.54% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount3
totalVerbs162
matches
0"was going"
1"was losing"
2"was measuring"
0.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount7
semicolonCount0
flaggedSentences6
totalSentences69
ratio0.087
matches
0"He'd bolted the moment she'd stepped into the Raven's Nest and clocked her warrant card on the bar—hadn't even finished his drink."
1"Up close, the iron was old and pitted with rust, but the hinges had been recently oiled—they moved without protest when she tested them, lifting the hatch an inch, and a smell rolled up out of the dark below."
2"Then Morris was gone—gone in a way the inquest report hadn't come close to explaining, in circumstances that Quinn had turned over in her mind so many times that the edges were worn smooth—and she'd learned to pause where she'd once moved."
3"Warmer than it had any right to be underground, and carrying those layered smells more strongly now—the wax and herbs, something sharper beneath, something she associated with chemistry sets and hospital corridors."
4"Voices, not conversation but commerce—the specific rhythm of haggling, of transactions being negotiated, of a dozen separate exchanges happening in parallel."
5"The people moving between stalls were dressed in no consistent register—some in ordinary street clothes, some in things that suggested other eras or other sensibilities."
98.03% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount994
adjectiveStacks0
stackExamples(empty)
adverbCount42
adverbRatio0.04225352112676056
lyAdverbCount17
lyAdverbRatio0.01710261569416499
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences69
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences69
mean14.72
std10.16
cv0.69
sampleLengths
017
125
26
318
422
530
65
73
827
911
1012
113
128
1323
148
158
1612
173
181
1945
2013
214
2221
232
2416
2517
2624
2739
2813
294
304
313
3213
333
3417
356
3624
3724
3817
3942
4012
416
4229
433
4422
453
4632
4714
4825
4913
67.63% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats5
diversityRatio0.4492753623188406
totalSentences69
uniqueOpeners31
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences63
matches
0"Somewhere below, she could hear"
1"Then Morris was gone—gone in"
2"Then a hand closed around"
ratio0.048
80.32% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount22
totalSentences63
matches
0"He was quick, whoever he"
1"He'd bolted the moment she'd"
2"He ducked left around a"
3"Her radio crackled."
4"She vaulted a fold-up table"
5"She cut the radio before"
6"He was measuring the gap"
7"She blinked it away."
8"He was at the far"
9"He hauled it open and"
10"She reached the hatch in"
11"She'd worked enough of this"
12"She lifted the hatch fully"
13"She went down."
14"They were small glass vessels"
15"She kept her torch high"
16"She came around a final"
17"She registered glass jars and"
18"She scanned for her suspect,"
19"He was in there, somewhere."
ratio0.349
79.05% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount48
totalSentences63
matches
0"The rain came sideways, driven"
1"Quinn turned up her collar"
2"He was quick, whoever he"
3"He'd bolted the moment she'd"
4"The green neon of the"
5"He ducked left around a"
6"A couple pressed themselves against"
7"Quinn flashed her badge at"
8"Her radio crackled."
9"She vaulted a fold-up table"
10"She cut the radio before"
11"The man glanced back once,"
12"He was measuring the gap"
13"Quinn rounded the corner and"
14"She blinked it away."
15"He was at the far"
16"He hauled it open and"
17"The clang of it rang"
18"She reached the hatch in"
19"Candle wax, sawdust, something herbal"
ratio0.762
79.37% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences63
matches
0"Now she was losing ground."
ratio0.016
55.75% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences41
technicalSentenceCount5
matches
0"Quinn turned up her collar and kept moving, her boots finding the wet pavement with each stride, eyes fixed on the figure forty metres ahead."
1"He was measuring the gap between them, running some kind of equation in his head, and whatever the answer was it made him turn sharply right, off the main road …"
2"Quinn sat on her heels for a moment, rain driving against the back of her neck, listening."
3"And beneath that, music from no instrument she could identify, a low and modal sound that settled into the bones differently than sound usually did."
4"She registered glass jars and leather parcels, racks of clothing and stacked crates, items behind glass cases that caught the amber light strangely."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags2
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
84.6270%