RecursiveDB

Your experience database, compacting into a model you own.

RecursiveDB is the learning plane of your Private Inference Cloud. Every request through the Gateway is captured into your tenant's experience database: the context, the action taken, the alternatives, and what happened next. That experience compacts upward through four tiers, and each tier is a form your model can take:

1. Memory: experience available in context.
2. Harness: prompts, examples, and skills distilled from what worked.
3. Adapters: lightweight fine-tunes trained on verified experience.
4. Weights: open-weight models you own, post-trained on your history.

Promotions are gated, reversible, and traceable

Nothing moves up a tier on vibes. A promotion must beat your private benchmark, built from your own history. Every promotion is reversible with a pointer flip, and every artifact traces back to the experience that produced it.

Rewards are evidence, not opinions

Outcomes arrive as signals: changes in your system of record, explicit outcome reports, and human actions like edits and approvals. Verification is ranked, and the higher tiers only train on the strongest evidence. Failures are kept as data, because a failed attempt with a known cause is training signal too.

Yours end to end

The experience database lives inside your boundary and inherits your region. Its surfaces are read-only views, export, and replay: you can watch what the platform learned and take all of it with you. Your data and your weights are exportable at any time. See the RecursiveDB page in your dashboard for the live compaction map.