Use Cases
Connect ClariLayer to Claude Code, Cursor, Codex, or claude.ai. Analysts and RevOps operators can recall durable context, check warehouse or HubSpot definitions, and carry the decision into the next session.
These are the moments an analyst or RevOps operator hits in their own agent, against often messy warehouse or HubSpot definitions. No governance program or procurement cycle. Just your working context, the source access you already have, and your agent.
The acute one is the first reconcile: “why don’t these two numbers match?” ClariLayer reconciles a saved definition against supported warehouse or row-free HubSpot evidence and flags conflicts as caveats — checked, not blindly asserted. And when two teams' numbers disagree, the same engine scales up: the Governed Context Edge is in private pilot now.
A worked example
Your dashboard reports $1.42M in net revenue for the quarter. The query your agent just wrote returns $1.51M. A $90K gap, and the QBR is in an hour. Which one is right?
You ask your agent to reconcile the saved net_revenue definition against the warehouse. It runs the stored SQL with its own access and reports the result shape back to ClariLayer, which compares the saved definition's declared signals — the columns, grouping, and aggregates its SQL implies — against the shape your agent actually got back. They don't line up: the live result is missing a column the saved definition expects, so reconcile records a caveat. That's the signal to look closer — not a ruling on which dollar figure is right.
The caveat is what sends your agent digging. With its own warehouse access it traces the $90K back to the cause: the ad-hoc query never joined the refunds table, so it reported gross, not net. The caveat caught the $90K discrepancy an hour before the QBR — flagged the moment the live result drifted from the saved shape. You ship the refund-adjusted $1.42M, then remember the correction once — “net revenue must net refunds” — so next quarter the agent starts from it instead of rediscovering it. ClariLayer never held your warehouse credentials and never ran the SQL itself — your agent was the connector.
reconcile
The moment
Two reports that should agree don't. Your dashboard says one revenue figure, the ad-hoc query you just ran says another, and you have no idea which one to trust — or where the gap crept in.
With ClariLayer
Ask your agent to reconcile the saved definition against your real warehouse result. Your agent runs the stored SQL with its own access and reports back the result shape; ClariLayer compares what the definition declares against what actually came out. A mismatch surfaces as a caveat — so you and your agent know exactly which number to treat with care, and why.
What actually happens
HubSpot CRM reconcile
The moment
A deal-stage property has a canonical internal value, but an old alias is still populated. Labels look friendly in the UI while workflows and integrations depend on exact internal values, so drift can stay invisible until it breaks reporting or automation.
With ClariLayer
Save a row-free HubSpot property contract, then let your agent inspect the provider with its own access. It sends only bounded property metadata and value distributions. ClariLayer compares expected values, the canonical value, deprecated aliases, and labels; a mismatch becomes a caveat and a clean check remains asserted.
What actually happens
recall + remember
The moment
Every fresh chat starts from nothing. You re-type which table is canonical, which join is the right one, that refunds shouldn't count in revenue — the same context, session after session, before you can ask the real question.
With ClariLayer
ClariLayer connects over MCP to Claude Code, Cursor, Codex, or claude.ai. From then on your agent can pull relevant context mid-task and save each confirmed correction so it sticks. Exact names lead, use-case scoping stays explicit, and the response tells the agent when potentially useful context was scoped away.
What actually happens
bootstrap
The moment
A blank context store is its own kind of friction — and hand-typing a CLAUDE.md of every definition is the documentation graveyard all over again. You want day-1 value, not a cold empty store you have to fill by hand.
With ClariLayer
Point ClariLayer at the work you already have: SQL, dbt models, CLAUDE.md or freeform notes, a codebook or data dictionary, and a semantic model. SQL, dictionaries, and semantic models become structured context; dbt and notes are imported too. Day one, your agent starts from your world instead of a blank store.
What actually happens
completion receipt
The moment
The agent used a durable rule, discovered a correction, and then declared the task finished. Next session, you cannot tell whether it declared context updated or no update required.
With ClariLayer
Managed instructions guide supported local agents through recall, a confirmed live context update when needed, and context_checkpoint before completion. The receipt persists the agent's context_updated or no_update_required declaration and validates the ownership and eligibility of referenced ClariLayer entries; it does not independently prove an entry changed.
What actually happens
compounds
The moment
It keeps reaching for the wrong table. It joins on the column that looks right but isn't. It counts refunds in revenue — the exact mistake you corrected last week, and the week before that.
With ClariLayer
Every correction you make, every reconcile, every note quietly persists. Your agent grounds on more of your context over time, so it gets progressively more right about your data — the wrong-table, wrong-join, refunds-in-revenue mistakes stop repeating. The longer you use it, the more it feels like Claude Code finally understands your project.
What actually happens
Reconciled, not blindly asserted
A hand-written CLAUDE.md of claimed definitions has the same trust problem as the original numbers — it’s just asserted text. ClariLayer can reconcile a definition against a warehouse result or bounded, row-free HubSpot observations, and surfaces conflicts as caveats so you know where to look. A clean reconcile leaves the entry asserted. Those are the public statuses today; verified is not a live status.
For teams · the Governed Context Edge · private pilot
ClariLayer starts as your personal context layer. Everything you establish solo is what your team inherits: the Governed Context Edge promotes your reconciled definitions into a shared, governed team canon — built, in private pilot with a few design-partner teams, and open for early-access requests now.
The problem
The board meeting stalls while Finance and Marketing debate whose revenue number is correct. Both pulled from the warehouse. Both are technically right. Neither is governed.
As personal context merges into shared team context, ClariLayer keeps canonical definitions with managed variants — both versions stay transparent, but only the approved, owned definition is marked the board-ready source of truth.
The problem
The auditor asks who approved the revenue-recognition metric and when. The answer is scattered across Slack threads, email chains, and someone's memory.
Once context is team-owned, every definition carries version history, an approval chain, and the conversation behind it — the 'why', not just the 'what' — so a change stays inspectable when it's deployed, deprecated, or rolled back.
If you already live in Claude Code, Cursor, Codex, or claude.ai against warehouse or HubSpot context, connect ClariLayer and stop re-explaining the same durable rules.
We 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.