FAQ

Frequently asked questions about ATLAS

General Questions

What is ATLAS?

ATLAS (Augmented Thinking, Learning & Action System) is a personal knowledge management system that:

  • Unifies your scattered knowledge from multiple sources

  • Uses AI to extract concepts, insights, and actions

  • Creates a searchable knowledge graph

  • Enables monetization through the x402 protocol

How is ATLAS different from Notion/Obsidian/Roam?

Feature
Traditional Tools
ATLAS

Data entry

Manual

Automated ingestion

Organization

Manual folders/tags

AI-powered extraction

Connections

Manual links

Automatic graph

Monetization

None

Built-in x402

Search

Within platform

Across all sources

ATLAS doesn't replace note-taking — it unifies and enhances what you already have.

Is my data private?

Yes. ATLAS is local-first:

  • Your data stays on your machine by default

  • Cloud features are opt-in

  • We never see your knowledge unless you explicitly share via x402

  • You can export everything anytime

What data sources are supported?

Currently:

  • Twitter/X Bookmarks

  • Apple Notes

  • GitHub Stars

  • LLM Conversations (ChatGPT, Claude)

  • Voice Memos

  • Readwise

  • Obsidian Vaults

Coming soon:

  • Kindle Highlights

  • Pocket/Instapaper

  • Notion Exports


Technical Questions

What are the system requirements?

Component
Minimum
Recommended

Python

3.11+

3.12

Node.js

18+

20+

RAM

4GB

8GB+

Storage

1GB

Scales with data

What LLM powers the extraction?

Claude (Anthropic) by default. OpenAI GPT-4 also supported. Local models planned for future.

Can I self-host ATLAS?

Yes. ATLAS is designed for self-hosting:

  • SQLite database is portable

  • All processing can run locally

  • No mandatory cloud dependencies

Is there an API?

Yes. 45+ REST endpoints covering:

  • Search and retrieval

  • Graph exploration

  • Agent invocation

  • x402 protocol

  • Statistics and management

Is there mobile support?

Currently web-only (responsive). Native mobile apps planned for 2025.


x402 Protocol Questions

What is x402?

x402 is a micropayment protocol based on HTTP status code 402 "Payment Required." It enables:

  • AI agents to pay for curated knowledge

  • Sub-second queries with verified data

  • Direct creator monetization (90% revenue share)

How do payments work?

Payments flow through Solana blockchain:

  1. Query triggers 402 response with payment info

  2. Consumer sends USDC to specified address

  3. ATLAS verifies payment on-chain

  4. Knowledge delivered

  5. Revenue split: 90% provider, 10% ATLAS

How much can I earn?

Depends on:

  • Volume of queries to your knowledge

  • Quality and uniqueness of your expertise

  • Pricing tier (micro to premium)

Example: 1,000 queries/month at $0.05 average = $45 net revenue

Do I need crypto experience?

Basic familiarity helps, but we're building for simplicity:

  • Solana wallet setup (Phantom, Solflare)

  • USDC stablecoin (no volatility risk)

  • Automatic payment handling


Pricing Questions

Is ATLAS free?

During beta, yes. Future pricing model TBD based on:

  • Usage patterns

  • Feature tiers

  • Hosting preferences (self-hosted vs cloud)

What does x402 cost consumers?

Tier
Price Range

Micro

$0.001

Standard

$0.01

Deep

$0.10

Premium

$0.25

What's the revenue split?

  • 90% to knowledge provider

  • 10% to ATLAS infrastructure


Data & Privacy

Can I export my data?

Yes, always. Your knowledge lives in a SQLite database you control. Export anytime.

What happens to my data if I stop using ATLAS?

It stays yours. The SQLite file is standard format. Your knowledge doesn't disappear.

Who can see my knowledge?

Only you, unless you:

  • Enable x402 public endpoints

  • Share dashboard access

  • Export and share manually

Is extraction data sent to the cloud?

LLM extraction requires API calls to Claude/OpenAI. Your content is processed but not stored by these providers (per their data policies). Local LLM support coming.


Support Questions

How do I get help?

Channel
Best For

Documentation

General questions

Beta support channel

Active users

Specific issues

Twitter (@atlas_ai)

Quick questions

I found a bug. What do I do?

  1. Document what happened

  2. Note steps to reproduce

  3. Report through beta support channel

  4. We'll investigate and respond

Can I request features?

Absolutely! Feature requests help shape the roadmap. Submit through:


Getting Started

How do I start?

  1. Explore: Visit dashboard.atlas-ai.org

  2. Apply: Join waitlist at atlas-ai.org

  3. Setup: Follow onboarding when approved

  4. Import: Connect your data sources

  5. Explore: Search and discover your knowledge

What should I import first?

Start with highest-value sources:

  1. Twitter Bookmarks — Often years of curation

  2. Apple Notes — Personal thinking and ideas

  3. GitHub Stars — Technical knowledge

How long does setup take?

  • Initial setup: 15-30 minutes

  • First import: 5-10 minutes per source

  • Extraction: 10-30 minutes (background)


Still have questions? Reach out at [email protected]

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