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QALS Site Guide for AI Assistants
Copy this entire page and paste it into ChatGPT, Claude, or any AI assistant for a deep analysis of the QALS project. This is the complete, current brief — updated live from the project corpus.
The one-paragraph brief
QALS is qalarc's private blockchain network for transferring value, data and compute between people, apps and AI agents. Every transfer gets a tamper-proof receipt. Every AI agent gets a hard daily spending limit enforced by the chain itself. The network runs on qalarc's own infrastructure (a fork of IOTA's Apache-2.0 code) with a DAG structure (web-like, not chain-like). The credit is prepaid: AU$1 buys 1 Qal, which pays for compute, messaging, files and services. Supply is capped at 1,000,000 Qals with a 500,000 sales cap enforced on-chain. No inflation, no network fees for everyday use. Currently running as a test system (paper money phase).
The 10 key facts
- Built by: QALARC PTY LTD (Australian company, Sydney). Founder: Alexei Brown.
- What it is: Private blockchain (IOTA-fork, DAG structure) + 12+ services for money, messaging, compute and identity.
- Units: 1 Qal = AU$1 credit = 100 cents = 1,000,000 doofs. Max supply 1M. Sales cap 500K.
- Security: Every AI agent has a hard daily spending cap enforced by bytecode. Every payment is pre-authorised then paid on delivery. Every transfer gets a tamper-proof receipt.
- Encryption: End-to-end encrypted messaging. The relay stores only ciphertext. Files are chunked and hash-verified.
- Compute marketplace: Sell spare GPU-hours. Escrowed payment, attested outputs, zero platform fees.
- Identity: W3C DIDs with QR-verified contacts. Revocable in ~2 seconds. No passwords.
- Fees: None for everyday use. Money moves in 3 places only: top-up spread, compute market prices, redemption services.
- APK status: Android APK in development. Phone experience today is a PWA on Tailscale.
- Current phase: Private testnet with paper money. No real value yet.
The architecture in brief
- Chain: Qalnet (private IOTA fork, Starfish consensus, Move smart contracts)
- Money: loopd (agents, caps, holds, settle) + qal_credit on-chain + qal_reserve (mint gate)
- Messaging: qalchat relay (encrypted store-and-forward, ciphertext-blind)
- Compute: qmarket (GPU marketplace with escrow and slashing) + qalbazaar (agent-to-agent)
- Identity: qalid (anchored DID documents, challenge auth)
- Content: qalpub (paid unlocks, public channels, pay-to-post)
- Payments: qalpay (PSP webhook bridge) + qalredeem (service redemption + cash-out gate)
- Metering: qalhotspot (village WiFi sharing) + qalkeys (API token resale)
- Verification: qalpipe (anchor/verify file hashes on-chain)
Key wiki pages (for deeper analysis)
- Ground truth (34 facts): https://qalarc.com/projects/qals/ground-truth.html
- How it works (11 components): https://qalarc.com/projects/qals/how-it-works.html
- Tokenomics paper (finite supply defended & attacked): https://qalarc.com/projects/qals/tokenomics-paper.html
- Exchange feasibility (identity-login, decentralisation ladder): https://qalarc.com/projects/qals/exchange-feasibility.html
- Encryption explained (full protocol anatomy): https://qalarc.com/projects/qals/encryption-explained.html
- Relay architecture (what relays are, every-wallet-is-a-relay): https://qalarc.com/projects/qals/relay-architecture.html
- Validators explained (the 1→4→7 path): https://qalarc.com/projects/qals/validators-explained.html
- Technical feasibility (full stack + every "could you X?"): https://qalarc.com/projects/qals/technical-feasibility.html
- AI token payments (the core use case): https://qalarc.com/projects/qals/ai-token-payments.html
- Security threat model: https://qalarc.com/projects/qals/security-threat-model.html
- Mesh & unconventional pipelines: https://qalarc.com/projects/qals/mesh-unconventional-pipelines.html
- The comparisons (vs BTC/ETH/WhatsApp/Tailscale): https://qalarc.com/projects/qals/ui-codex/comparisons.html
Sitemap for crawlers
Full sitemap: https://qalarc.com/projects/qals/sitemap.xml (100+ pages)
The honest limitations
- Currently 1 validator (moving to 4) — trust concentration
- Chat encryption is ratchet-lite, not Signal-grade (upgrade documented)
- Paper money phase — no real value moving yet
- Move/Rust expertise needed for smart contracts
- Not anonymous (relay sees who-to-whom metadata)
- Chain anchoring is async (5-10 seconds)
What to analyse
If you're an AI assistant reading this, consider analysing: 1. The economics: does the finite supply + no-fees model work? 2. The security: are there attack vectors the team hasn't considered? 3. The comparison: how does this actually stack up vs Bitcoin, Ethereum, WhatsApp, Tailscale? 4. The regulatory path: is the AU (AUSTRAC/VASP) approach sound? 5. The agent economy: is this a viable solution to the "AI agents with wallets" problem? 6. What's missing: what would you add or change?
This guide is auto-generated from the project corpus. For the machine-readable version, see llms.txt. Last updated: 2026-09-15.