Start with one agency client brand. Turn a brief into channel-native variants, review every word, and keep approval and delivery evidence in one tenant-scoped workspace.
Open Beta registration is paused · Live AI uses your configured provider
Signal control room
Incoming brief
Example CoffeeLaunch the autumn menu
Warm, useful, specific. No urgency or generic hype.
Draft
Adapt
Check
Approve
Deliver
Connected destinations
Open Beta scopeEvidence
Delivery state recorded
No estimated reach
Tenant-scoped
Agency and client context stay separated
Human-approved
Nothing publishes before your decision
Official APIs
No personal-profile workarounds
Evidence-led
Missing platform metrics stay visibly missing
Replace the glue work
InfoQast is for the messy middle: maintaining client context, adapting the idea, checking constraints, collecting a decision, and preserving what the platform returned.
The manual stack
AI may write the first draft, but client context, channel adaptation, approvals, and proof of delivery still live in separate places.
The InfoQast loop
Brand brief
Variants
Preflight
Approval
Evidence
Fewer loose handoffs, while human judgment remains exactly where it matters.
Workflow preview
These labelled examples explain the implemented content, review, delivery, analytics, client-portal, and audit flow. They are synthetic previews, not customer evidence.
Compile
Brand context stays selected. The same idea is reworked for each connected network instead of copied between separate tabs.
Client brief
Launch the autumn menu
Example Coffee · warm, specific, no hype · invite people in without urgency
Control
Preflight findings, human decisions, delivery state, and stop controls share one workflow. Automation proposes; your team decides.
Deterministic preflight
Checks stay visible before approval
Human gate
Waiting on your decision
Approve, edit, request changes, or stop the workflow. AI cannot skip this step.
Delivery evidence
Prove
Provider delivery evidence, available engagement snapshots, client decisions, and the audit trail stay together. Missing platform data stays visibly missing.
Delivery evidence
Provider-confirmed
Metric coverage
No current metric destination
Missing reach
Shown as unavailable
By client brand
Output and observable response, kept separate
Client review
A focused approval link
Comments and decisions stay attached to the content item.
Audit trail
Who changed what, preserved
Approval, delivery state, and operator actions remain inspectable.
Illustrative “Example workspace” states assembled from implemented, test-covered InfoQast workflows. They are not live customer screens, results, or testimonials.
Why InfoQast
The useful difference is not another text box. It is a bounded operating model for client work without mixing brand context.
Client context
Choose the client before generation. Voice, rules, drafts, connections, and history remain scoped to that brand.
Controlled automation
Preflight runs first. Your team can edit, approve, request changes, pause a brand, or stop the workspace.
Network compiler
One master idea becomes review-ready copy shaped for each selected, supported destination.
Operational memory
Decisions, delivery state, available metrics, and audit events stay inspectable instead of disappearing across tabs.
Open Beta destinations
No destination currently has fresh release evidence; delivery remains gated. Other adapters remain gated until credentials, reviews, and live checks pass.
Network roadmap · no launch dates
These destinations are announced for planning context only. They are not available, cannot be connected, and remain outside the current publishing scope.
Open Beta registration is paused. There is no checkout or paid price commitment.
Registration update request · No response time is promised
Media admission is controlled by the live storage and security gate; the entitlement does not bypass upload scanning or operational limits.
MCP and command-line access share the portal’s server-side policy, but they do not share a release label. Both are currently in development; each advances only after its own security, distribution, compatibility, and revocation evidence passes.
Read the shared security boundaryAI clients
A bounded remote tool surface with server-resolved identity and the same tenant policy as the portal.
The surface is being built and tested. No public install channel or public availability is claimed.
View MCP statusRequest MCP previewTerminal users
A thin local client over the scoped product contract—not a second backend or a privileged bypass.
The surface is being built and tested. No public install channel or public availability is claimed.
View Command line statusRequest Command line previewOne policy layer remains authoritative across the portal, MCP, and CLI: tenant scope, capabilities, rate limits, revocation, and audit are enforced on the server.
Fair questions
No. Open Beta uses a human approval gate. AI prepares and adapts the draft; your team edits, approves, pauses, or rejects it before any delivery.
are the current verified publishing scope. Roadmap destinations are labelled separately and are not presented as live before their platform gates pass.
You configure a supported AI connection for live generation. The connection is explicit; a labelled example mode is never counted as a live AI result.
InfoQast covers the controlled work before and after scheduling: client-scoped context, native variants, preflight, approval, delivery evidence, and available metrics. If you only need a calendar, a simpler scheduler may be a better fit.
Your next client brief
Open Beta account creation is temporarily paused. Request an update when registration reopens.
Registration update request · No response time is promised
