nexart.io

    How to adopt NexArt

    Four stages. Each is independently valuable. You do not need to commit to all four.

    What NexArt is

    • NexArt is verifiable execution infrastructure for AI systems. It produces tamper-evident records of what your AI actually ran.
    • A lightweight integration captures inputs, outputs, and execution context at runtime and seals them into a single record locally.
    • An independent attestation node certifies each record so that no single party controls the proof.
    • Certification adds a third-party signature. The record can then be verified by anyone without trusting the operator.
    • verify.nexart.io is a public verification surface. Anyone can check a record there with no account, no login, and no dependency on NexArt.
    • A Project Bundle groups multiple execution steps into one verifiable artifact, covering entire workflows or agent sessions.
    • NexArt proves what executed. It does not prove that the output is correct or that the model behaved well.

    Most teams move through four stages. Each stage adds value on its own. You can stop at any stage and still have a working, useful certification layer. Start with one function call; grow into a full trust layer when you are ready.

    Every AI call that runs without certification is a decision you cannot prove later. Execution data is typically spread across multiple systems; reconstructing a decision after the fact often requires stitching together incomplete records. During an audit, a dispute, or an incident review, the absence of a self-contained record is the finding.

    1

    Certify

    What you add: Add one function call next to your existing model call. Every AI inference produces a tamper-evident Certified Execution Record. Store it alongside your existing logs.
    What changes: Every AI call now has a verifiable record. Auditors can confirm any single record in isolation.
    Time to value: Under an hour.
    What is a CER?
    2

    Add context

    What you add: Capture the evidence that fed each model run: tools called, documents retrieved, upstream decisions. Bind that context to the same record.
    What changes: Records go from "model said X" to "model said X having seen exactly Y, Z, W." Audit value goes up significantly.
    Time to value: Half a day for a typical app.
    How context signals work
    3

    Project bundles

    What you add: Group multi-step agent runs into a single verifiable artifact per session. Optionally register bundles with a NexArt node for independent attestation.
    What changes: You can hand a customer or auditor one file per case, instead of a folder of individual records.
    Time to value: One to two days.
    Compare single records vs bundles
    4

    Verifier in the field

    What you add: Ship the command-line verifier to your CI pipeline, your auditors, your customer success team, or your customers directly.
    What changes: Certification value compounds when the verifier is in someone else's hands. Audits shift from "we say it happened" to "verify it yourself."
    Time to value: Ongoing. Value compounds over time.
    See what the CLI verifies

    Outcomes at each stage

    Observability tools show what happened. They do not prove it. The outcomes below describe what changes when proof exists.

    After Stage 1

    • Every AI-assisted decision has a self-contained, tamper-evident record.
    • The record is portable, verifiable offline, and survives the original application going away.

    After Stage 2

    • Records reflect not just the model call but the full upstream context (tools, retrievals, prior decisions).
    • Reproducing a past decision becomes a one-bundle exercise instead of a multi-system reconstruction.

    After Stage 3

    • Multi-step agent runs collapse to one verifiable artifact per case.
    • Customer-facing exports become a single file per customer interaction.

    After Stage 4

    • Audits shift from "we say it happened" to "verify it yourself."
    • Enterprise procurement conversations about AI auditability shorten or close.

    Ready to implement? Start with Stage 1. One function call, one certified record, under an hour.

    Start implementing

    Stage 1 takes under an hour. One function call, one certified record, stored in your existing database. No infrastructure change, no proxy, no middleware.

    As scrutiny of AI systems increases, the cost of retrofitting evidence grows. Teams that instrument early capture every execution from day one. Teams that wait face gaps they cannot fill retroactively.

    Open the developer quickstart

    Step-by-step guide to your first certified execution. Takes under an hour.

    Start implementing →

    Want to understand the pieces first? See the NexArt Product Stack.

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