# The Enterprise Grounded Agent Stack

Category: Document Generation
Stack: Databricks, Antigravity, NotebookLM, LangGraph

## Overview
Architectural overview connecting RAG retrieval, agentic coding environments, and deterministic evaluation gates.

## The Problem
Enterprise AI projects fail when they treat AI as a conversational toy rather than an integrated software engineering stack.

## Production Rule
Build around a three-tier architecture: Ingestion & Normalization -> Grounded Execution Environment -> Deterministic Verification Gate.

## Code / Specification
File: `enterprise_stack_layers.md`

```full stack
Layer 1: Ingestion & Storage
- Databricks Unity Catalog + Mosaic AI Vector Search
- Markdown extraction + immutable chunk hashing

Layer 2: Execution & Orchestration
- LangGraph / Antigravity Agentic IDE
- Sandboxed terminal environments + scoped MCP tools

Layer 3: Verification & Governance
- Pydantic schema validation + regex numeric faithfulness scoring
- Deterministic template engines (Jinja2) for document output
```