Run: 2026-04-24-01KPZV4K80ZXQKRAKDYZ7FFR6Y

Run Details

Duration:
15.8s
Cost:
$0.027690
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
90.48% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
45.2419% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
The coffee shop smelled like burnt espresso and desperation, which Molly felt was appropriate given the circumstances. She slid the blueprints across the sticky table, narrowly avoiding a puddle of what might have been syrup or might have been tears from the woman two booths over arguing with her ex-husband on speakerphone. Bill squinted at the paper. Then he turned it ninety degrees. Then another ninety. "Molly, this is a placemat from Denny's." "Other side." He flipped it, revealing a hand-drawn map of a suburban backyard, complete with a bounce house labeled DANGER ZONE and an X marked where a piñata presumably dangled like a papier-mâché treasure chest. "Okay," Bill said. "Walk me through it." "Party starts at two. Eight-year-old's birthday. Theme is pirates, which is poetic, if you think about it." "I'm not thinking about it." "The presents pile up on the gift table here." She tapped the map. "By three o'clock, we're looking at forty, maybe fifty wrapped gifts. Minimum six LEGO sets. Possibly a Nintendo Switch, because the kid's grandma is loaded and also, I suspect, trying to buy affection." Bill leaned back. His chair creaked in a way that suggested it, too, had given up. "Molly. I want to say something, and I want you to hear me." "Oh, God." "We are grown adults." "Uh-huh." "We are planning to rob children." "We are planning to rob *one* child," Molly corrected, "of presents belonging to a surplus he cannot possibly appreciate. Have you seen how kids open gifts now? They tear through them like raccoons in a dumpster. It's grotesque." "You're describing me at Christmas." "And look how you turned out." Bill considered this, then nodded, because it was fair. He picked up his mug, discovered it was empty, and set it back down with the dignified regret of a man who had peaked in high school. "What's the cover?" he asked. "Clowns." "No." "Hear me out—" "No, Molly. Last time we did clowns I was picking greasepaint out of my sideburns for a month. I looked like a sad raccoon. A dumpster raccoon, if you will." "Fine. Magicians." "Better." "You do the rabbit thing, I work the gift table, and by the time anyone notices the presents are gone, we're halfway to the storage unit." "And the parents?" "Distracted. Parents at kids' parties are either drunk or dissociating. Usually both." Bill tapped his fingers on the table. The couple behind them had escalated to yelling about a timeshare in Boca. Somewhere, an espresso machine screamed like a kettle being murdered. "One condition," he said finally. "We leave the birthday boy's present. Just his. From his parents." Molly stared. "Bill. You sentimental marshmallow." "I have a code." "You have a sticker book." "I have *a code*, Molly." She sighed, folded the placemat, and tucked it into her jacket. "Fine. One present stays. The rest we liberate." "Liberate," Bill repeated. "I love when you talk heist to me."
created_at"2026-04-24T13:33:46.636Z" 4/24/2026, 1:33:46 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency629
moderation_latency(null)
generation_time15729
tokens_prompt77
tokens_completion789
native_tokens_prompt98
native_tokens_completion1088
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"end_turn"
usage0.02769
router(null)
provider_responses
0
endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"002f53bf-aa50-4c45-853c-7664e8e1eded"
is_byokfalse
latency629
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777037626-yZ42fgxQaJPWTSldo13b"
session_id(null)
api_type"completions"
id"gen-1777037626-pv2TJKRJi3zyAZrQZ6ss"
upstream_id"002f53bf-aa50-4c45-853c-7664e8e1eded"
total_cost0.02769
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
90.48% Matches word count n/a
neededCleanfalse
words490
0.00% Dialogue to Total Word Ratio
Ratio: 57.37%, Deviation: 27.37%
neededCleanfalse
wordsTotal495
wordsDialogue284
45.2419%