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Your LLM Changed. Nobody Told You.

DriftDune flags silent semantic drift — before it breaks trust, SLAs, or compliance.

Get Started

Get Started in 30 Seconds

No dashboards. No signups. No surprises.

driftdune init
driftdune detect --baseline baseline.json --current current.json

Example output:

Drift Detected: 18.2% semantic change across 100 outputs.
Top offenders: prompt_04.json, prompt_17.json

Built for You

ML Engineers: You updated your model and something broke. DriftDune tells you what changed.

AI Platform Leads: Monitoring logs is not enough. DriftDune spots behavior change before it hits production.

Compliance Teams: No more invisible model updates. Get reproducible evidence of what changed, and when.

What It Does

• Compares old and new LLM outputs

• Detects semantic drift using OpenAI embeddings

• Flags meaningful behavior changes

• CLI-first — no dashboards, no overhead

Why DriftDune Exists

Model quality shouldn’t degrade silently. You deserve visibility, not surprises.

DriftDune is the `git diff` for your model’s behavior. Run it. Know it. Trust it.

Install the CLI

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