Nothing calls home
SpiceGrinder runs entirely on infrastructure you control — your laptop, your CI runner, your own server. There is no telemetry, no phone-home license check, and no background sync. What you run is what runs; there is no external service in the loop.
Diagnostics are opt-in, and stay on your machine
SpiceGrinder can optionally log audit, performance, and diagnostic events for your own troubleshooting. Every one of those streams is off by default, and when enabled, writes local, plain-text NDJSON files under your own home directory. None of it is ever sent anywhere.
Deterministic by design — not a black box
SpiceGrinder isn’t an AI model guessing at what your data “probably” looks like. The same model file and seed produce byte-identical output every time, on every machine. There’s no sampling drift, no hidden training data, and nothing to audit beyond the plain-text model in front of you.
Not AI, but agentic-friendly
If you have agentic workflows, SpiceGrinder fits in as a set of tools your agents can use. Its clean, interface-driven design and plain-text artifacts make it easy for agents to understand context without digging through your business rules. Whether to use AI agents at all, and what access they get, is always up to you.
Runs where your data already lives
Because SpiceGrinder has no external dependency to function, it runs equally well fully air-gapped, inside a locked-down VPC, or on a laptop with no network access at all. Nothing about generation requires outbound connectivity.
What we’re not claiming
SpiceGrinder is not independently certified against SOC 2, HIPAA, or any other formal compliance framework, and running it doesn’t make your broader environment compliant by itself. What it does do is remove one specific, common blocker: needing to move real PII/PHI into test, demo, or training environments in the first place.