agent/industry/schema.md

Industry Schema

行业资料笔记使用 YAML frontmatter 加正文。

Frontmatter

---
type: industry
company:
team:
title:
url:
source_name:
source_type: technical-report / research-blog / engineering-blog / product-blog / product-doc / code-release / benchmark / talk / other
source_quality: official / official-adjacent / secondary / unknown
published_at:
collected_at: YYYY-MM-DD
status: queued / summarized / analyzed / deprecated
topics:
  - agent
implementation_signals:
  - tool-use
product_area:
  - coding-agent
models:
  -
tools:
  -
benchmarks:
  -
related_papers:
  -
related_jobs:
  -
related_experiments:
  -
related_projects:
  -
evidence_level: high / medium / low
relevance: high / medium / low
---

Body

# <company> - <title>

## One-line Takeaway

一句话说明这条资料暴露了什么行业趋势或工程经验。

## Source Snapshot

来源、发布日期、采集日期、来源质量。

## What They Built or Claimed

公司发布了什么产品、系统、能力、报告或代码？

## Technical Signals

- architecture:
- tool use:
- memory:
- evaluation:
- safety:
- deployment:
- data:

## Product and Business Signals

- users:
- scenario:
- pricing / availability:
- go-to-market:

## Evidence Quality

判断它是强证据还是弱信号。是否有论文、技术报告、benchmark、代码或只是营销描述？

## Links

- papers:
- jobs:
- experiments:
- projects:
- docs:

## Gaps for Us

-

## Notes

-

Field Rules

• url 和 collected_at 必填。
• 优先官方来源；二手来源只能作为线索。
• evidence_level 和 source_quality 必须分开：官方产品博客也可能证据很弱。
• 技术细节不足时标记为 low，不要强行推断实现。