lo6

Implementation Plan — lo6

Goal Description

To implement lo6 — a robust, scalable “Human-in-the-Loop” media newsroom using TypeScript, React, and LangChain. The system will orchestrate multiple AI agents to source, research, write, and publish news, with distinct dashboards for human oversight.

User Review Required

[!IMPORTANT] This is a high-level architectural plan. Please review the stack choices and the agent orchestration strategy (LangGraph vs. standard Chains).

Documentation Strategy

To plan this “seriously”, we should produce the following documents:

1. Technical Specification (This Document): High-level architecture, stack, and system boundaries.
2. Data Model Specification: Database schema (ERD) and type definitions.
3. Agent Interface Specification: Inputs, outputs, and tools for each agent (extending the brief).
4. UX/UI Wireframes: Visual plan for the 5 dashboards.

Proposed Architecture

Engineering Principles

To ensure long-term maintainability and scalability, we will strictly adhere to:

• KISS (Keep It Simple, Stupid): Avoid over-engineering. Use standard Next.js patterns (Server Actions, App Router) instead of complex custom layers unless necessary.
• DRY (Don’t Repeat Yourself): Centralize logic in shared utilities and hooks. Use a shared UI component library.
• SOLID:
  • S: Single Responsibility Principle for Agents (one agent, one job) and React Components.
  • O: Open/Closed - Design agents to be extensible without modifying core orchestration logic.
  • L/I/D: Interface segregation for API responses and Dependency Injection for services (e.g., swapping LLM providers).
• Clean Code: Strict TypeScript (no any), Prettier/ESLint enforcement, and self-documenting variable names.

Security & Compliance

We commit to OWASP, NIST, ISO 27001, CIS, and SEI CERT standards to ensure highest security:

• Authentication: Multi-factor authentication (MFA) via Supabase Auth (NIST IAA).
• Authorization: Strict Role-Based Access Control (RBAC) (e.g., Journalist vs. Publisher).
• Input Validation: All API inputs validated with Zod schemas to prevent Injection attacks.
• XSS Protection: React’s default escaping + DOMPurify for any rich text rendering.
• CSRF: Next.js built-in protection for Server Actions and API routes.
• Audit Logging: Comprehensive logging of all agent and user actions for accountability.

Tech Stack

• Full Stack Framework: Next.js 14+ (App Router) - Handles both React Frontend and API Backend.
• Language: TypeScript (Strict mode).
• AI Orchestration: LangChain.js & LangGraph.js (for stateful, multi-step agent flows).
• Database: PostgreSQL (via Supabase or Neon) + Prisma ORM.
• Styling: TailwindCSS + Shadcn/UI.
• State Management: TanStack Query (Server state) + Zustand (Client state).

Core Components

1. The “Newsroom” Engine (Backend)

• Workflow Manager: Uses LangGraph to define the state machine of a story (Lead -> Triage -> Research -> Draft -> Review -> Publish).
• Agent Nodes: Individual functions wrapping LangChain calls for specific tasks (e.g., researchNode, draftingNode, crawlerNode).
• Queue System: (Optional) BullMQ/Redis if agent tasks are very long-running ( > 1 min). Required for Web Crawler jobs.

  3. The “Newsroom Network” (Signal Exchange)

• Signal Protocol: A lightweight JSON standard for sharing verified leads between instances.
• Federation Node: An optional service that broadcasts Approved Leads to the network and listens for incoming signals.

  2. The “Newsroom” Console (Frontend)

• Dashboard Layout: Persistent sidebar navigation for the 5 views.
• Kanban/List Views: For Triage and Editorial dashboards.
• Rich Text Editor: For the News Editor (e.g., Tiptap or Lexical).

Verification Plan

• Unit Tests: Jest/Vitest for individual agent logic.
• Integration Tests: End-to-end flow from “New Lead” to “Draft Created”.
• Manual Review: User testing of each Dashboard interface.

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