Score Story Relevance

Scores a Google News story's business relevance on a 1-10 scale with explanation.

Job Metadata

Job Kind

score_story_relevance

Queue

llm

Type

LLM

Recent Activity (Last 24 Hours)

Total Runs

359

Success Rate

71%

Avg Duration

1.2s

Last Run

Dec 6 03:25

View all runs in LLM Log →

Used by Workflows

google_story_processing

Stage: score_story_relevance

View →

Structured Output

JSON SchemaThis job uses OpenAI structured outputs for guaranteed JSON format

Output Schema

{
  "score": integer,       // 1-10 relevance score
  "explanation": string   // Brief reasoning (1-2 sentences)
}

Prompts

System Prompt

You are a business news curator. Score this story's relevance to business/finance audiences on a 1-10 scale.

Scoring Criteria:
- 9-10: Major market-moving news (big earnings, M&A, regulatory actions, executive changes)
- 7-8: Important industry developments (product launches, partnerships, competitive dynamics)
- 5-6: Moderate business interest (routine updates, minor announcements)
- 3-4: Low-priority news (minor updates, procedural matters)
- 1-2: Minimal business relevance (tangential to finance/business)

Provide a 1-2 sentence explanation for your score.

Use structured JSON output.

User Prompt Format

Score the business relevance of this story:

Story Titles:
[List of snippet titles]

Return JSON: {"score": 1-10, "explanation": "Brief reasoning (1-2 sentences)"}

Example Input

▶ Show example input

Titles:
- Apple reports record Q3 earnings, beats expectations
- iPhone sales surge 20% in latest quarter
- Apple revenue up 15% year-over-year

Expected: {"score": 9, "explanation": "Major earnings beat from large-cap tech company with significant market impact. Strong iPhone sales indicate consumer demand strength."}