System Requirements Document for Giant-Agent

Introduction

The Giant-Agent project aims to develop an intelligent agent for Facebook AdManager that automates ad management tasks, optimizes performance, and assists in monetization strategies. This document outlines the system requirements for the Giant-Agent, designed to cater to marketers, small business owners, and agencies.

System Overview

The Giant-Agent will serve as a comprehensive tool for managing and optimizing ad campaigns across Meta platforms, including Facebook, Instagram, and WhatsApp. It will focus on monitoring ad performance, managing campaigns, targeting audiences, analyzing data, and ensuring effective monetization strategies. The agent will also provide a layer of strategic insight by incorporating a Meta Ads Specialist/Expert role and will cross-check major actions with the user before proceeding.

Functional Requirements

• As a User, I should be able to monitor ad performance across Facebook, Instagram, and WhatsApp.
• As a User, I should be able to manage campaigns, including strategy, setup, and scaling of Meta Ads.
• As a User, I should be able to define and target custom, lookalike, and interest-based audiences.
• As a User, I should be able to analyze data and optimize strategies based on KPIs like CTR, CPA, and ROAS.
• As a User, I should be able to implement the Meta Pixel and Conversions API for enhanced tracking.
• As a User, I should be able to test various ad formats to identify the best-performing creatives.
• As a User, I should be able to receive cross-checks from the agent before major actions are implemented.

User Personas

• Marketer: Focuses on creating and managing ad campaigns to drive engagement and sales.
• Small Business Owner: Seeks to maximize ad efficiency and revenue with limited resources.
• Agency: Manages multiple clients' ad campaigns, requiring robust analytics and reporting.

Visuals Colors and Theme

• primary: #1A73E8 (a deep blue representing trust and professionalism)
• primary_light: #4D90FE (a lighter blue for hover states and secondary UI)
• secondary: #F4511E (a vibrant orange for emphasis and headlines)
• accent: #0F9D58 (a lively green for CTAs and active states)
• highlight: #FFB300 (a warm amber for hover states and notifications)
• bg: #FFFFFF (a clean white background)
• surface: rgba(240, 240, 240, 0.8) (a light gray for card/panel backgrounds)
• text: #202124 (a dark gray for primary text)
• text_muted: #5F6368 (a softer gray for secondary text)
• border: rgba(218, 220, 224, 0.2) (a subtle gray for borders)

Signature Design Concept

The homepage of Giant-Agent will feature an interactive galaxy map where each star represents a different feature or section of the agent. Users can click on a star to open a task card, drag to rotate the cluster, and hover to highlight connections between features. This concept will be brought to life using @react-three/fiber and @react-three/drei for 3D interactions, creating an engaging and memorable first impression.

Interaction Model & Motion Direction

The landing page will employ a "parallax" interaction model, providing a layered depth experience via scroll. Decorative layers will translate at different speeds, while real content scrolls naturally. This approach is ideal for a visually rich first impression, enhancing the storytelling aspect of the Giant-Agent.

Non-Functional Requirements

• The system should be highly reliable and available 24/7.
• The user interface must be intuitive and easy to navigate.
• The system should ensure data security and privacy compliance.
• The agent should perform tasks efficiently with minimal latency.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB, using Alembic for migrations
• AI Models: GPT 5.4 for user-friendly responses, Claude 4.6 Opas for academic or coding work
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-Side Orchestration: Kubernetes

Assumptions and Constraints

• The agent will primarily focus on Meta platforms (Facebook, Instagram, WhatsApp).
• Users will have existing accounts and access to Facebook AdManager.
• The system will need to integrate with Meta's APIs for data access and management.
• The agent will require user authentication for secure access.

Glossary

• CTR: Click-Through Rate
• CPA: Cost Per Acquisition
• ROAS: Return on Ad Spend
• Meta Pixel: A tool for tracking user behavior on websites
• Conversions API: A Meta tool for tracking conversions and user actions

This document outlines the comprehensive requirements for the Giant-Agent project, ensuring a robust and user-friendly solution for managing Meta ad campaigns.