For teams·Where ClariLayer is going as teams adopt it. The primary product is the single-player context layer for your AI.
Back to the single-player storyFor teams · where ClariLayer goes next
Single-player is the product you install today: your own context, your own agent, no team account. As teams adopt it, those personal context layers connect — your definition can be proposed up to a shared team standard, and the team's canon can flow back down to you, always with agency: adopt it, override it, or fork it — never a silent overwrite. The personal MCP context layer stays the primary product; this is where it goes.
Connect your AIThe mechanic
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.
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.
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.
Every edge records who can change what, which direction wins on conflict, and how it's audited.
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.
What crosses the edge
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. As teams adopt it, ClariLayer's governance model is designed to match the level of rigor to the stakes:
Tier 0
Open to anyone, self-serve release — for internal experiments and exploratory analysis.
Tier 1
Open to anyone, with warehouse validation before release and optional owner approval — for day-to-day team metrics.
Tier 2
Reserved for designated owners with multi-approver review — for board-level reporting.
Iteration is designed to create a new version instead of rewriting the old one, so the evidence is never lost.
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.
For teams · the Expansion path
Governance is where ClariLayer goes as teams adopt it: the personal context an analyst builds in their own AI agent later merges into shared, owned, governed team context. The product you install today is the single-player context layer — it connects to Claude Code, Cursor, or Codex over MCP so your agent stops re-explaining your data.
See the single-player context layerWe use privacy-friendly analytics
With your consent we use PostHog and Vercel Analytics to understand how ClariLayer is used so we can improve it. We never sell your data. Errors are always monitored (without analytics) so we can keep the app reliable. You can change your mind anytime.