Evidence the run may read
- Campaign assets and destinations
- Approved brief and claims
- Channel and brand checklist
Check campaign assets for message consistency, required links, approved claims, and channel-specific readiness.
Search intent: AI agent for marketing campaign QA
A campaign enters pre-launch quality review.
marketing owner
The campaign owner approves launch and any exception.
post-launch campaign defects (defects). Count avoidable asset, link, date, or claim defects found after launch.
Each stage produces an artifact another stage can inspect. The final node is a person, not an autonomous write to an external system.
Validate and normalize the campaign quality assurance inputs.
Produce the asset qa matrix.
Produce the broken or inconsistent element list.
Challenge the campaign quality assurance result and prepare an approval packet.
The campaign owner approves launch and any exception.
Source material is read-only. Drafts land in a case-specific output path. Tools may read or propose; the human gate owns the external write.
workspace/marketing/campaign-quality-assurance/inputs/**Read only the evidence attached to this workflow instance.
workspace/marketing/campaign-quality-assurance/outputs/**Write drafts and evidence artifacts without modifying source records.
marketing:campaign-quality-assurance:read-or-proposeInvoke only tools explicitly granted for this run; external writes remain gated.
The blueprint starts private, caps its DAG, disables replanning, and exposes no public endpoint. Add only the tools and data adapters this workflow has approved.
name: marketing-campaign-quality-assurance
version: 0.1.0
entrypoint: agent:BlueprintAgent
expose:
public: false
composition:
planning: deterministic_dag
max_nodes: 6
max_parallel: 1
max_replans: 0Every material conclusion cites an input artifact or a scoped tool result from this run.
Every asset is checked against the same approved offer, audience, dates, claims, and destination behavior.
The run stops at a proposal and records the human decision before any external side effect.
Containment: Return a partial result with unresolved items; do not broaden scope or perform an external write.
Operator: Attach the missing evidence, narrow the brief, or explicitly approve a new scoped run.
Containment: Stop the affected branch and preserve completed artifacts in the case output workspace.
Operator: Grant only the missing resource or continue with that branch marked out of scope.
Current platform receipts sign caller identity or classification, skill, bounded input evidence, verified grant IDs when present, outcome or result preview, and timing. Optional file, tool, artifact, handoff, evaluation, and review fields require separate instrumentation and are not populated by default. Price, fees, payouts, and later human approvals remain separate platform records.
The example uses only fields populated by the current platform sealing paths. It is illustrative, not a record of a real customer run.
{
"receipt_id": "rcpt_01J...",
"schema_version": 1,
"agent_name": "marketing-campaign-quality-assurance",
"caller": "user:workflow-owner",
"task_id": "case_campaign_quality_assurance",
"skill_name": "campaign_quality_assurance",
"input_hash": "4d7c...9a2f",
"grant_ids": [
"grt_case_inputs",
"grt_tool_propose"
],
"status": "ok",
"result_preview": "Output prepared: Asset QA matrix. Human decision remains separate.",
"elapsed_ms": 4218
}Turn an approved topic, audience, and source set into a differentiated brief with claims and evidence mapped explicitly.
Compare a page with current first-party product truth and performance evidence and propose a focused refresh.
Check draft copy against approved language, product evidence, and prohibited claims before it reaches publication.
Deploy the workflow as a bounded internal agent, verify its outputs and the receipt fields actually emitted, then expand only the scopes your acceptance test proves it needs.