AI BriefingSolving Clients' Pain Points with AI: Building a Contest Briefing Agent Using the Strands SDK at Loud Sourcing
Key point
Loud Sourcing built an AI agent using Amazon Bedrock and the Strands SDK to help clients write contest briefings.
Details
Loud Sourcing developed a generative AI-based briefing agent to solve the difficulties clients face in specifying their design requirements. This aims to reduce the gap between clients' vague requirements and designers' understanding, thereby improving contest quality.
The solution is built on Amazon Bedrock, using the Amazon Nova Pro and Anthropic Claude Haiku 4.5 models. The system largely consists of three agents.
- Briefing Analysis Agent: Analyzes existing data to derive essential items and best-practice patterns by industry/category
- Briefing Writing Agent: Generates a draft based on user input
- Briefing Review Agent: Checks the written briefing for missing information and ambiguous expressions
In particular, the initial sequential workflow was improved into an agent-based structure, securing response speed and scalability. Each agent is designed to reference only the information it needs, minimizing unnecessary context passing, and the review function is designed to apply not only to AI-generated content but also to briefings written directly by users.
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