Grounded Agentic Workflows with LangGraph & Gemini Tool Calling

Beyond Naive Prompts

Prompt engineering alone is insufficient for commercial systems. When an AI handles order management or catalog search, hallucinations lead to lost revenue and customer distrust.

Grounded architectures treat the LLM as an orchestration engine, not a knowledge store.

State Machines via LangGraph

By encoding agent workflows into state graphs, we enforce deterministic validation gates before any mutating action executes.

• Intent Classification: Categorize user query with confidence scoring.
• Schema-Validated Tool Call: Generate structured JSON adhering to Zod/Pydantic models.
• Human-in-the-Loop Review: Trigger approval gates for high-stakes business operations.