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David Usoro
David Usoro

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Building LazAI Digital Twins – A Technical Deep Dive for Developers

#ai #architecture #web3

Crafting Sovereign AI: The LazAI Digital Twin Build Process
Devs, LazAI Digital Twins aren't hype, they're verifiable AI agents you build, own, and scale.

Anchored by Data Anchoring Tokens (DATs), they leverage Trusted Execution Environments (TEEs) for privacy and Zero-Knowledge Proofs (ZKPs) for verifiable identity.

This article focuses on building and personalization, with code for the technically inclined.

Core Architecture

LazAI twins separate persona (character.json) from logic (Alith agents), enabling composability. character.json is a JSON artifact: bio/lore as arrays for preamble building, style.post for output constraints, postExamples for fallbacks. Generated via archive processing, it's hot-swappable, no rebuilds needed.

Build Workflow

  • Setup: Clone Starter Kit: git clone https://github.com/0xLazAI/Digital-Twin-Starter-kit. Install: npm i alith node-cron.
  • Generate character.json: npx tweets2character <twitter-archive.zip>. Uses OpenAI/Claude for extraction. Env: LLM_MODEL=gpt-4o-mini
  • Mint as DAT: For ownership: dat = client.mint_dat(file_id, access_tier="inference", royalty_rate=0.05). DATs embed licensing, ensuring royalties on usage.

Personalization via JSON

Edit character.json for tone/lore: { "tone": "sarcastic dev", "lore": ["built 10 dApps"] }.

  • Preamble in Alith: Joins arrays into string for agent context. Diff: Privacy (encrypted uploads), ownership (DAT control), verifiable ID (ZKPs on mint).
  • Code: Load & Preamble (from contr oller): 
const characterData = JSON.parse(fs.readFileSync('character.json'));
const preamble = [characterData.name, ...characterData.bio, `Lore: ${characterData.lore.join(' ')}`].join('\n');
const agent = Agent.new('agent_id', model).preamble(preamble);
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LazAI stands out: TEEs ensure build privacy, DATs provide economic ownership, ZKPs verify persona integrity.

Fork the kit, build your twin at docs.lazai.network.

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