Tangle Re-Introduction
Why Decentralized AI Infrastructure?
Why decentralized AI infrastructure matters when an agent must choose an operator, protect private inputs, and inspect how paid work was executed.
How Blueprints Work
How Blueprints work as reusable Tangle service templates, and how jobs move from public metadata to operator execution, payment, verification, and expiry.
How Decentralized AI Infrastructure Verifies Work
How decentralized AI infrastructure verifies work with operator result checks, thresholds, TEE attestation, proofs, and task evaluations, including what each method cannot prove.
How to Build a Tangle Blueprint: Test and Deploy
How to build a Tangle Blueprint from one typed job to a tested operator service, with public SDK commands for local Anvil testing and testnet deployment.
AI Agent Infrastructure on Tangle: Inference and Code Execution
AI agent infrastructure has two different trust problems: running a model for a customer and running generated code over private data. This guide maps both to Tangle jobs, operators, evidence, and failure checks.
TEE for AI Agents: What Hardware Isolation Can Prove
A trusted execution environment (TEE) for AI agents needs a clear data boundary and evidence of the workload that ran. This guide explains Tangle’s TEE policy, attestation, secret release, and the limits of hardware isolation.