One inbox across products
Support, bugs, requests, surveys, and reviews arrive with the product and user context intact.
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Customer loop OS
One accountable customer inbox and evidence system for every product you run.
YouSaid connects the original conversation to the decision, the release, and the measured outcome.
Support, bugs, requests, surveys, and reviews arrive with the product and user context intact.
Every material claim cites the signal that supports it. Contradictions stay visible.
Turn selected evidence into scope, requirements, acceptance criteria, and a source appendix.
A release receipt records who was notified, what changed, and whether the problem recurred.
Signal Ledger
AI can classify, cluster, and draft. It cannot erase the original words, hide contrary evidence, or make a commitment for your team.
Open the workspaceUnderlying problem
PDF export stalls after format selection
Cluster confidence
High confidence, 12 sources
Evidence summary
Reports share one export fingerprint across three products. Safari reports retain a separate platform note until verified.
Add signed identity, mount the launcher, and submit a real test signal. The customer receives a receipt before deep analysis begins.
import { YouSaidProvider, YouSaidLauncher } from "@yousaid/react"; export function App({ identityToken }) { return ( <YouSaidProvider token={identityToken} endpoint="https://yousaid.dev/api/signals" > <YouSaidLauncher /> </YouSaidProvider> );}Pay for portfolio scale and signal throughput, not every teammate, reply, vote, or AI resolution.
For a focused team finding product truth.
$109/ month
Billed annually
One evidence system across your studio.
$339/ month
Billed annually
Predictable capacity for a growing portfolio.
$849/ month
Billed annually
Every plan includes a practical teammate allowance. Payments are handled by Stripe as the merchant of record, including sales tax and VAT. Your plan never upgrades without your approval.
Product scope is enforced at every read, write, vector query, artifact download, and model call. Customer content never trains a shared model.
Access, correction, portability, objection, and deletion workflows.
CPRA disclosure, deletion, correction, opt-out, and GPC handling.
Evidence filters, citations, human approval, and explicit abstention.
Put every signal on a path to an honest answer and a measurable outcome.
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