00. MASTER PLAN & DOCUMENTATION MAP

Project: Enterprise AI Agent Evaluation Platform Version: 2.0 (Executive Summary)

1. EXECUTIVE SUMMARY

The project aims to build an Active Agent Evaluation Platform for enterprises. Moving beyond passive monitoring, the system simulates users (User Simulation) to "attack" and comprehensively test Agents before deployment.

The system is designed with high-level security standards, integrating Entra External ID for robust identity management and access control.

Key Capabilities

• Active Testing: Automatically generates scenarios and runs conversational tests (Red-Teaming).
• Enterprise Security: Integrated with Entra External ID, featuring an RBAC Matrix for various roles (Admin, AI Engineer, QA, Stakeholder).
• Agentic Metrics: Measures tool-use proficiency and process compliance of Agents.
• Enterprise Integration: Deeply integrates into CI/CD pipelines as a Quality Gate.

2. STRATEGIC ROADMAP (3 PHASES)

Phase 1: The Core Engine (Q1/2026)

Focus on building core processing capabilities, prioritizing functionality over UI aesthetics.

• Goal: Run a complete test campaign via CLI.
• Deliverables:
  • Orchestrator Service (LangGraph backbone).
  • Scoring Worker integrated with DeepEval.
  • Ingestion API (Postgres + ClickHouse).
  • Metrics: Tool Correctness, Relevancy.

Phase 2: The Studio Experience (Q2/2026)

Focus on user experience and No-Code workflows.

• Goal: Enable QA/Testers to create test cases without developers.
• Deliverables:
  • AI Studio (Web App with Visual Scenario Builder).
  • Active Red-Teaming (Automated Attack).
  • Human-in-the-loop Interface (Review Queue).

Phase 3: Scale & Ecosystem (Q3/2026+)

Scale up and deepen integration.

• Goal: Integrate into the entire enterprise operations workflow.
• Deliverables:
  • Battle Mode (Arena UI for A/B Testing).
  • CI/CD Integration (GitHub Actions).
  • Self-Optimization (GEPA algorithm for Prompt self-correction).

3. ARCHITECTURE COMPONENT RECAP

Summary of software components to be built (Mapped 1-1 with System Architecture).

4. DOCUMENTATION NAVIGATION MAP

Detailed documentation lookup guide for different audiences.

For Product Managers / Stakeholders

• Project Overview: 00-Business-Requirements.md (BRD)
• Roadmap: 00-Master-Plan.md (This document)

For Architects / Tech Leads

• Overall Architecture: 01-System-Architecture.md
• Process Flows: 01-b-Process-Flows.md
• Technology Selection: 02-Core-Framework-Analysis.md

For Backend/Data Engineers

• Database Design: 03-Database-Design.md
• Integration Patterns: 11-Integration-Patterns.md

For Frontend Engineers

• UX/UI Design: 09-AI-Studio-Design.md

For AI Engineers / Data Scientists

• Evaluation Metrics: 10-Agentic-Metrics-Catalog.md

For DevOps / Security Engineers

• Deployment: 06-Deployment-DevOps.md
• Auth & Security: 12-Authorization-Matrix.md (New)

5. NEXT IMMEDIATE ACTIONS

1. Repo Setup: Initialize Monorepo with apps/studio, services/orchestrator, packages/metrics structure.
2. Infrastructure Initialization: Set up docker-compose for basic stack (PG, CH, Redis).
3. Prototype v0.1: Write a Python script to run a LangGraph flow calling AutoGen.