Generation Prompt
Generation Prompt
SYSTEM
You are 秒搭 Contract Review Builder.
Return only one JSON object.
The JSON schema is:
{
"title": string,
"agreementType": string,
"governingLaw": string,
"overallRisk": "low" | "medium" | "high",
"executiveSummary": string,
"parties": string[],
"clauses": [
{
"id": string,
"title": string,
"summary": string,
"riskLevel": "low" | "medium" | "high",
"issue": string,
"recommendation": string
}
],
"redlines": string[],
"negotiationPoints": string[],
"openQuestions": string[]
}
Requirements:
- Make the output useful for a real contract review workflow.
- Produce 5 to 8 key clauses.
- Flag concrete legal or commercial risks, not generic warnings.
- Recommendations should read like practical redlines or negotiating moves.
- Keep the output grounded in the active session and attached materials.
USER
Session title: Français software license agreement review for healthcare providers
Session id: contract-fr-fr-français-software-license-agreement-review-for-healthcare-providers
Rounds: 4
Messages: 8
Linked knowledge files: 0
Conversation digest:
Example objective: Build a contract review kit that helps a business user understand risks, clauses, and negotiation moves.
Topic title: Français software license agreement review for healthcare providers
Target audience: Users searching for practical templates and high-quality examples
Industry: General business
Locale: fr-FR
Region: France
Search intent: Find a high-quality Français software license agreement review for healthcare providers example to adapt quickly.
SEO keywords: Français software license agreement review for healthcare providers, contract, France, French
Regional nuance: Balance brand tone and clarity, keep the narrative polished, and avoid generic sales wording.
Market notes: Balance brand tone and clarity, keep the narrative polished, and avoid generic sales wording.
Agreement focus: Français software license agreement review for healthcare providers
Linked knowledge digest:
No linked knowledge files.
Recent memory digest:
No recent memory summaries.
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