AI Agent Development Services

Service overview

We help enterprises design and ship AI Agent systems using Anthropic Claude API and Google Cloud (Vertex AI, Cloud Run). This includes workflow orchestration, tool use through MCP, human-in-the-loop design, guardrails, and evaluation. We integrate RAG, live data, and existing APIs so teams can move from proofs of concept to real production workflows.

Recommended tech

• •Claude API (Anthropic) and Vertex AI (Gemini)
• •GCP: Cloud Run, Cloud Functions, Vertex AI Agent Builder
• •MCP (Model Context Protocol) tooling and custom tools
• •RAG: Vertex AI Search, AlloyDB / Firestore vector retrieval
• •Orchestration and state: LangChain / LangGraph or custom, conversation state
• •Monitoring and evaluation: Cloud Logging, Cloud Monitoring, human eval workflows

Expected outcomes

• •Working agent system (Claude + GCP stack)
• •Architecture and decision-flow docs
• •Ops, scaling, and iteration guidance
• •PoC report and A/B evaluation when needed

Price range

Typically NT$300K–1M+ per project, depending on scope and iterations

Engagement process

1. Consultation and scoping
2. PoC or spec sign-off
3. Quote and milestones
4. Phased development
5. Launch and optimization

Further reading and proof points

If you are evaluating this service, these research notes and case-study entry points can help you assess scope, risks, and rollout options.