Run: 2026-07-25-01KYCXXM2AH2D27QERB0EJ31W2

Run Details

Duration:
1m 23s
Cost:
$0.003373
Provider:
DeepInfra

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
Rain hammered the cobblestones of Soho. Detective Harlow Quinn vaulted over a toppled garbage bin, her boots splashing through black water. The suspect—a wiry man in a leather coat—slipped through the green neon haze marking The Raven's Nest. Quinn's lungs burned. Three years since DS Morris vanished, and every shadow still tasted like unfinished grief. The leather coat disappeared inside the bar. Quinn shoved through the heavy oak door. Old maps and black-and-white photographs swallowed the walls. Behind the counter, Silas polished glasses with a rag that never touched them. "He went through," Quinn said. Silas jerked his chin toward a bookshelf lined with water-stained atlases. Quinn pressed her palm to a cold brass lever hidden behind a spine. The shelf groaned, pivoted, and revealed a stairwell plunging into darkness. Her fingers brushed the worn leather watch on her left wrist. Military precision demanded she call for backup. Her sharp jaw tightened. She descended. The air turned metallic. Abandoned Tube tunnels stretched beneath Camden, transformed into the Veil Market. Bone tokens clinked at every wrist. Enchanted goods glowed in cracked glass cases. Banned alchemical substances bubbled in copper vats. Quinn's brown eyes adjusted to the flickering torchlight. She moved past vendors who hissed prices for memories, for teeth, for hours. The leather coat ducked behind a stall draped in black velvet. Quinn followed. A knife sang past her ear. Quinn flattened against a pillar. Her heart hammered behind her ribs. "Detective," said Tomás Herrera, stepping from the shadows. His olive skin gleamed in the torchlight. His Saint Christopher medallion rested against his collarbone. "You shouldn't be here." Quinn drew her weapon. "Move aside, Herrera." "The scar along his left forearm twitched where he gripped a rusted pipe. His warm brown eyes softened with pity. "You lost your partner," he said. "Not every darkness kills." Quinn's finger hovered over the trigger. Rain had soaked her salt-and-pepper hair to her scalp. The watch on her left wrist ticked loud in the silence. The leather coat vanished through a tunnel arch marked with a bone token. Quinn exhaled through her nose. She stepped into the dark. Her boots struck wet concrete. The market's noise faded behind her. The tunnel narrowed, then opened into a chamber where the air tasted of copper and secrets. The suspect turned. His face remained hidden beneath a hood, but his hands were bare, trembling, holding a bone token that pulsed with a faint blue light. Quinn raised her service weapon. "Police." The hooded figure laughed, a sound like glass breaking underwater. Quinn lowered her aim. Not at him. At the token. She stepped closer. The familiar territory of law ended at this threshold. She chose.<|end_message|>
created_at"2026-07-25T15:22:24.211Z" 7/25/2026, 3:22:24 PM
model"thinkingmachines/inkling-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency860
moderation_latency(null)
generation_time82606
tokens_prompt1104
tokens_completion725
native_tokens_prompt992
native_tokens_completion601
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached64
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00337293
router(null)
provider_responses
0
endpoint_id"d6b9d68e-115a-49d7-81cd-1ad1c6942b0e"
id"chatcmpl-RSqaP7PrdEUZEhpY46phlDoI"
is_byokfalse
latency146
model_permaslug"thinkingmachines/inkling-20260715"
provider_name"DeepInfra"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784992944-qfeTvfyaK06b2ZaTBzK0"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784992944-qQjGslJ08KlWtacrmz3O"
upstream_id"chatcmpl-RSqaP7PrdEUZEhpY46phlDoI"
total_cost0.00337293
cache_discount0.00005312
upstream_inference_cost0
provider_name"DeepInfra"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags4
adverbTagCount0
adverbTags(empty)
dialogueSentences7
tagDensity0.571
leniency1
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount449
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)
55.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount449
totalAiIsms4
found
0
word"velvet"
count1
1
word"silence"
count1
2
word"pulsed"
count1
3
word"familiar"
count1
highlights
0"velvet"
1"silence"
2"pulsed"
3"familiar"
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
narrationSentences45
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences45
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences48
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen28
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords447
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
0.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions28
wordCount407
uniqueNames15
maxNameDensity3.19
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn13
Raven1
Nest1
Morris1
Silas2
Tube1
Camden1
Veil1
Market1
Tomás1
Herrera1
Saint1
Christopher1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Morris"
4"Silas"
5"Tube"
6"Camden"
7"Tomás"
8"Herrera"
9"Saint"
10"Christopher"
places
0"Soho"
1"Veil"
globalScore0
windowScore0.333
71.88% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences32
glossingSentenceCount1
matches
0"tasted like unfinished grief"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount447
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences48
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs27
mean16.56
std10.91
cv0.659
sampleLengths
038
117
235
35
411
524
624
743
813
913
106
1111
1227
137
1420
1510
1626
1713
185
195
2027
2127
226
2310
2410
2512
262
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences45
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs76
matches(empty)
83.33% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount2
semicolonCount0
flaggedSentences1
totalSentences48
ratio0.021
matches
0"The suspect—a wiry man in a leather coat—slipped through the green neon haze marking The Raven's Nest."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount272
adjectiveStacks0
stackExamples(empty)
adverbCount2
adverbRatio0.007352941176470588
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences48
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences48
mean9.31
std6
cv0.645
sampleLengths
06
115
217
33
414
57
67
78
813
95
1011
1113
1211
1311
147
154
162
174
1811
196
207
217
228
2313
2411
252
266
275
286
298
307
318
324
334
343
3520
3610
3726
3813
395
405
4127
4227
436
4410
4510
4612
472
65.28% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.4166666666666667
totalSentences48
uniqueOpeners20
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences40
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount9
totalSentences40
matches
0"Her fingers brushed the worn"
1"Her sharp jaw tightened."
2"She moved past vendors who"
3"Her heart hammered behind her"
4"His olive skin gleamed in"
5"His Saint Christopher medallion rested"
6"She stepped into the dark."
7"Her boots struck wet concrete."
8"She stepped closer. The familiar"
ratio0.225
60.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount32
totalSentences40
matches
0"Detective Harlow Quinn vaulted over"
1"The suspect—a wiry man in"
2"Quinn's lungs burned."
3"The leather coat disappeared inside"
4"Quinn shoved through the heavy"
5"Silas jerked his chin toward"
6"Quinn pressed her palm to"
7"The shelf groaned, pivoted, and"
8"Her fingers brushed the worn"
9"Military precision demanded she call"
10"Her sharp jaw tightened."
11"The air turned metallic."
12"Bone tokens clinked at every"
13"Quinn's brown eyes adjusted to"
14"She moved past vendors who"
15"The leather coat ducked behind"
16"A knife sang past her"
17"Quinn flattened against a pillar."
18"Her heart hammered behind her"
19"His olive skin gleamed in"
ratio0.8
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences40
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences19
technicalSentenceCount1
matches
0"She moved past vendors who hissed prices for memories, for teeth, for hours."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags3
fancyCount0
fancyTags(empty)
dialogueSentences7
tagDensity0.429
leniency0.857
rawRatio0
effectiveRatio0
84.5314%