Signed and complete
Each release carries its dependencies, compatibility contract, and data changes. Nothing ships as a loose artifact.
Four disciplines, one system of record: software delivery, action governance, agent runtime, and customer-owned surfaces. Every operation is health-gated, policy-bound, and recorded.
Turbine plans; agents execute. A release is validated in staging, proven on a canary environment, and advanced across the fleet. Health gates decide promotion. Failures revert automatically.
Each release carries its dependencies, compatibility contract, and data changes. Nothing ships as a loose artifact.
Environments subscribe to a release track. Changes are proven in lower tracks before reaching production.
Zero-downtime cutover verified against live health. Gates promote. Failures revert. Recalled releases are barred from every environment.
Agents operate within declared policy. Proposals route through approval gates, execute within budgets, and produce a chain of record from triggering event to final effect.
Agent permissions are versioned configuration — simulated against history and approved before activation.
A proposed change is rehearsed in isolation and held for sign-off with results attached. Review adds proof, not delay.
Deployment counts, gate outcomes, and rollback rates are queryable from day one. Diligence receives a distribution, not an anecdote.
Customer-facing, staff, and background agents operate on a single runtime — continuous heartbeat, per-agent budgets with hard stops, and bounded failure domains.
Every agent shares the same execution loop, event spine, and ledger. Intelligence at the edges; determinism underneath.
Models run on hardware the customer controls. Escalation to frontier models is explicit and logged.
Each business operates in a dedicated environment — dedicated compute, dedicated data, a dedicated failure domain.
Everything above the platform line belongs to the customer. Storefronts, dashboards, kiosks, and screens deploy as Surfaces — through the same gated pipeline the platform uses for itself.
A coding agent registers a surface, ships a build, and observes the health gate — through a typed, scoped interface.
Candidate builds run against isolated data branches. Promotion follows a passing gate.
Screens, terminals, and sensors enroll as managed environments — disconnection-tolerant, reconciled on reconnect.
Custom agents ship through the same gated pipeline — but they are not surfaces. They run inside the governed runtime, under policy, budgets, and the ledger, like every actor on the platform.
The harness is provider-agnostic. Models — local or frontier — are interchangeable components behind one interface: admitted by evaluation, governed by policy, recorded in the ledger. Switching providers is a configuration change, not a migration.
Every model operates behind the same interface. Providers can be switched or mixed in configuration; policies, evaluations, and the ledger carry over untouched.
On dedicated deployments, inference runs on hardware you control. Escalation to frontier models is explicit, consent-based, and recorded.
Models earn production the way releases do — measured against evaluation gates before they touch a live operation.
Nothing a model sees is retained or used for training. The platform’s memory is the ledger — yours, not anyone’s corpus.
Customers, staff, owners, developers, and the agents themselves interact with the same system through the same kind of interface — scoped to who they are. Beneath the doors the business is one graph: its objects, its rules, its workflows — versioned, and recorded when touched.
The storefront and its support agent read live truth — stock, orders, delivery — through access that can see nothing else.
Registers, tasks, and tools speak to the same system with staff-scoped credentials. Every action attributed; nothing outside their lane.
The approval feed, the policies, the record. Authority is a scope, not a login level.
Developers and coding agents author workflows and ontology, deploy surfaces, and drive operations through typed, scoped, gated calls — the same doors the platform uses itself.
Turbine onboards a limited number of organizations each quarter. Selection favors operations prepared to run under agents.