Seamless Integration: LazAI Digital Twins in Your Workflow
Integration is where Digital Twins transcend theory. @LazAINetwork's framework lets devs weave twins into apps, emphasizing privacy, ownership, and verifiability as core advantages. This piece focuses on integration, building on build/query basics.
Integrating Twins into Systems
Use Alith SDKs for modularity:
Agent Composition: Chain twins: twin1.delegate_task(twin2.asset_id, "collaborate on code review"). Smart contracts automate delegation, with DATs tracking royalties.
dApp Hookup: Embed in Web3 apps—e.g., a productivity dApp queries your twin for "task optimization," returning verifiable plans via ZKPs.
Scalability: Deploy on Phala TEE Cloud for production: Environment vars for keys, then client.deploy_twin(dat.asset_id).
Differentiators: Privacy (TEEs hide data during integration), ownership (DATs ensure IP control), verifiable ID (blockchain logs every interaction, preventing tampering).
For enterprise, integrate for simulations like "code risk assessment." Devs, unlock agent swarms—start at lazai.network. Own your AI evolution!
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