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Context Ark

Quickstart Guide

This guide will walk you through generating your first 60-Doc Pack with Context Ark. No credit card required.

Prerequisites

  • A Context Ark account (You get 10 free credits).
  • A rough idea for a software project (the "Brain Dump").

Step 1: Create a New Project

  1. Log in to your Dashboard.
  2. Click the + New Project button.
  3. Enter a Project Name (e.g., "Uber for Dog Walking") and a brief Description.

Step 2: The Intake Interview

Context Ark uses an AI-driven interview process to understand your project.

1. The Brain Dump

In the text area, describe your project as if you were talking to a co-founder.

  • Good: "A mobile app where dog owners can find walkers. Needs real-time tracking, Stripe payments, and a rating system. We want to use React Native and Supabase."
  • Bad: "Dog walker app."

2. Answer Follow-Up Questions

Context Ark will analyze your brain dump and generate 10-15 targeted questions to fill in the gaps.

[!TIP] You don't need to be technical. If you don't know an answer (e.g., "What database isolation level?"), just say "I don't know, decide for me."

Step 3: Build the Kernel

Once you've answered enough questions (80% coverage recommended), click Build Kernel.

This triggers the Kernel Builder Agent, which will:

  1. Analyze your answers.
  2. Research your competitors and tech stack on the web.
  3. Construct a structured JSON "Kernel"—the DNA of your project.

This process takes about 30-60 seconds.

Step 4: Generate Documentation

When the Kernel is ready, you'll see the Kernel Dashboard.

  1. Click Generate Docs in the top right.
  2. Select Full Suite (60 Docs).
  3. Wait for the Agent Swarm to write your files (approx. 2 minutes).

Step 5: Export & Use

Once complete, your docs are categorized into 01_Product, 02_Users, 03_Context, etc.

Recommended Next Steps

  • Download ZIP: Get all markdown files.
  • Copy to Cursor: Copy 03_Context/CURSOR_RULES.md to your IDE to start coding with AI super-powers.

[!IMPORTANT] The generated docs are not just text—they are optimized context for LLMs like Claude 3.5 Sonnet and GPT-4.