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🚀 AI Security Learning Path Tracker

Fastest Path Summary (10-14 weeks full-time)

Phase Topic Time Estimate Status Notes
1 Networking + Linux + Cyber basics 2-3 weeks Not Started
2 AI & ML fundamentals 1-2 weeks Not Started
3 AI/ML threat landscape 2-3 weeks Not Started
4 Deployment + LLM security 2-3 weeks Not Started

Product Requirements Document: Startup Funding Deck Fixer

Overview

The Startup Funding Deck Fixer is an AI-powered tool designed to help first-time founders improve their pitch decks for investor presentations. Using specialized AI agents, the app analyzes pitch decks and provides actionable feedback to enhance clarity, storytelling, and overall investor appeal.

User Avatar

Primary User: First-time startup founder

  • Limited experience with investor pitches
  • May have technical expertise but struggles with investor communication
  • Needs guidance on pitch deck best practices

AI-Powered Apps

1. App: Startup Funding Deck Fixer

  • Avatar: First-time founder
  • Problem: Pitch deck too vague or unconvincing
  • Solution: Upload your deck or paste text, get suggestions per slide to improve clarity, traction storytelling, and investor appeal.
  • Crew AI Roles:
    • 🧠 Clarity Coach Agent — rewrites slides in plain, sharp English
  • 📊 Investor Agent — checks for traction, TAM, GTM strategy and provides red flags

Find the Unique Number in Triple Array

Problem Description

You are given an array of integers where every element appears exactly three times, except for one element which appears exactly once. Find that unique element.

Return that single element that appears only once.

Examples

Form Analysis Agent Flow Documentation

This document outlines the workflow and testing process for the Form Analysis Agent that maps form structures by navigating through web forms.

Agent Architecture

flowchart TD
    A[Start Agent] --> B[Initialize Browser Controller]
    B --> C[Open URL]

Single-Agent vs Multi-Agent Workflows in Agent Graphs

Overview

When designing agent-based workflows, it's essential to choose the right structure depending on the task complexity and requirements. A critical decision is whether to use a single-agent or multi-agent approach within your graph architecture. Below is a detailed comparison of the two approaches.


Single-Agent Patterns

LangGraph RAG System Flows

This document provides visual representations of the key flows implemented in the LangGraph RAG System using Mermaid diagrams.

1. Human-in-the-Loop Flow

graph TD
    A[User Query] --> B[Agent/LLM]
    B -->|Tool needed| C[Tool Executor]

Jims Gym Finder PRD

Overview

Jims Gym Finder is a web application designed to help users find local gyms and their facilities. The application will utilize web scraping, AI summarization, and mapping technology to provide users with a concise and informative experience.

Problem Statement

Users, like Jim the Gym goer, struggle to find information about local gyms, including their facilities and features. The current process involves manually searching and researching, which is time-consuming and overwhelming.

Target Audience

The target audience is individuals like Jim, who regularly visit gyms and are looking for an easy way to find and compare local gyms.

QuickHire PRD

Overview

QuickHire is a mobile-friendly job posting platform designed to help small businesses quickly hire qualified short-term staff. The goal is to launch a minimum viable product (MVP) within 24 hours that allows business owners to publish a job and receive applications via a single dashboard.

Problem Statement

Small businesses struggle to hire qualified short-term staff quickly due to slow and overloaded job boards, and chaotic application management. This results in lost productivity and revenue.

Target Audience

The target audience is small business owners, including those who manage cafes, shops, and local services, who need to hire a reliable temporary staff member in under 48 hours.