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Private pilot·The Governed Context Edge is onboarding design partners now. Private context enters the shared layer only through a deliberate proposal.

For teams · the Governed Context Edge · private pilot

A governed path from personal context to team canon.

Propose selected context into a shared layer, then adopt team canon back with agency: accept it, keep a local override, or fork it. Nothing crosses the edge silently. The private pilot has no public price.

Your context

A definition, in your own work.

Its source, scope and reasoning stay attached.

Propose

Shared canon

A definition your team can adopt.

Only what you deliberately offer to the shared layer.

Back in your context: adopt the canon, keep a local override, or fork it.

Private pilot

The Governed Context Edge is built. We're onboarding a few design-partner teams.

We onboard design partners directly and shape the pilot around a real shared-context problem. Commercial terms are handled in that conversation; there is no public team price.

The mechanic

A governed edge between your context and the team's.

The hard part of shared metrics was never storage — it's the relationship between one person's definition and the team's. ClariLayer's answer is the context edge: a governed connection between two context layers that says what flows, in which direction, and under whose authority.

Propose up.

The definition you reconciled in your own agent can be offered to the team's shared layer — with its SQL, its provenance, and the reasoning behind it attached.

Adopt canon down.

When the team has a canonical definition, it flows back to your layer — but you decide: adopt it, override it locally, or fork it. Nothing overwrites your context silently.

Authority is explicit.

Every edge records who can change what, which direction wins on conflict, and how it's audited.

Disagreement made visible — not erased.

Finance, marketing, and sales ops have legitimate reasons for different views of the same metric. The problem was never disagreement — it's invisible disagreement. ClariLayer keeps the shared core visible while recording which variant is current for which purpose. A visible, governed disagreement beats a fake consensus that breaks in the next board meeting.

Freshness

Shared definitions that stay fresh.

A definition doesn't stop being right the day the team agrees on it. A table gets renamed, a join changes, someone edits the source model. When you pull a shared definition into your agent, ClariLayer checks it against the team's canon and flags when your copy has drifted — you catch the divergence in flow, before a dashboard quietly serves the wrong number.

It leans on the same reconcile you use solo: in the personal MCP path, your agent runs the check with its own access and sends the supported evidence to ClariLayer. A mismatch surfaces as a caveat. The shared canon carries a freshness signal today — when a canon entry has gone stale, your agent sees it flagged the moment it recalls it. Scheduled re-verification cadence and owner paging are what the pilot is building with design partners. The separately gated team pilot can use an explicitly configured warehouse connector under its own access and operational controls.

What crosses the edge

What flows is governed — and carries its evidence.

A definition crossing an edge isn't a bare string. It carries its owner, its version, its validation evidence, and the reasoning behind it — so whoever adopts it (a teammate, or their AI data agent reading the governed contract) knows whether to trust it.

Not every shared definition needs the same rigor. ClariLayer matches the level of rigor to the stakes:

Tier 0

Experimental

Open to anyone, self-serve release — for internal experiments and exploratory analysis.

Tier 1

Operational

Open to anyone, with warehouse validation before release and optional owner approval — for day-to-day team metrics.

Tier 2

Financial

Reserved for designated owners with multi-approver review — for board-level reporting.

Every iteration creates a new version instead of rewriting the old one — the evidence is never lost.

The “why” behind every definition

The conversation audit trail is institutional knowledge that cannot be recreated. After 12 months with 50+ governed metrics, migrating means losing the reasoning behind every definition.

“Why did we exclude refunds from MRR?” — the actual reasoning chain, not a changelog entry.

“Who approved this churn definition?” — the full approval chain with timestamps.

“When was this last validated?” — validation evidence attached to every version.

Private pilot · early access

Request early access to the Governed Context Edge.

Early access is hand-run. Tell us about your team and the definition that's already causing arguments, and we'll set up a pilot with you — no self-serve signup, no price on a page.

We use this only to reach out about the pilot. We never sell your data.

For teams · private pilot

Start with your own context. Bring the team in when you're ready.

The personal context offer starts free, with no credit card. The Governed Context Edge is the team strand: built, in private pilot, and hand-set-up with a few design-partner teams. If a shared definition is already causing arguments, request early access.