Where NexArt fits in your stack
NexArt is an evidence layer. It attaches to your existing AI runtime and produces verifiable records that any party can check independently.
Most teams already have a model provider, an orchestration framework, an observability tool, and some form of audit logging. NexArt does not replace any of these. It sits alongside them and produces something they do not: cryptographic evidence that a specific execution actually happened, with specific inputs and outputs, at a specific time.
The four layers around NexArt
Role in your stack: Generate outputs.
Relationship to NexArt: NexArt captures what the model received and returned. We do not replace the provider.
Role in your stack: Coordinate steps, tools, and decisions.
Relationship to NexArt: NexArt attaches at the step boundary. Each step can produce a CER; a multi-step run can produce a Project Bundle.
Role in your stack: Help you debug and monitor behavior.
Relationship to NexArt: Observability describes what happened for your team. NexArt produces evidence a third party can verify. The two are complementary.
Role in your stack: Record activity for internal and external review.
Relationship to NexArt: Audit systems trust their own ingestion. NexArt records are tamper-evident and verifiable without trusting the operator.
Where NexArt attaches in the runtime
NexArt attaches at the execution boundary, the moment an input is sent to a model or tool and a response comes back. At that boundary, the SDK captures inputs, outputs, parameters, and context, seals them into a Certified Execution Record (CER), and submits the record for node attestation.
You do not rewrite your agent. You wrap the call. For multi-step workflows, each step produces its own CER, and the full run can be grouped into a Project Bundle with a single projectHash.
Where evidence comes from
- Inputs, outputs, parameters: sealed into the CER at runtime.
- Execution context: timestamps, model identifiers, step ordering.
- Node attestation: an independent signing node countersigns the record.
Nothing about this requires you to send raw prompts or sensitive payloads to NexArt. Redacted modes keep the proof verifiable while hiding the content.
Where independent verification happens
Verification does not happen inside your stack. A regulator, auditor, customer, or counterparty recomputes the hash and checks the signature at verify.nexart.io or offline, using the published public keys. No API key, no account, and no dependency on NexArt being online to prove a past execution.
What this means in practice
If you already run an AI system, NexArt is additive. You keep your provider, your orchestrator, your observability, and your audit pipeline. You add one thing: an evidence layer that turns each execution into a verifiable record, and gives third parties a way to check it without trusting your internal systems.