Evidence the run may read
- Consented audience attributes
- Approved message and offer
- Channel and suppression rules
production blueprint · marketing
Nurture personalization draft agent blueprint.
Use consented account and engagement context to draft bounded variants without inferring sensitive characteristics.
Search intent: AI agent for B2B nurture personalization
Published by a2a cloudProduct-source methodology →
01 · the contract
Start from a bounded job, not a blank chat box.
trigger
An approved nurture audience and message are ready for variant drafting.
owner
marketing owner
agent stops at
A lifecycle owner approves audience, content, suppression, and send activation.
KPI · increase
approved variant engagement (percent). Compare engagement of reviewed variants against the approved baseline.
outputs
Artifacts the run must produce
- Personalized draft variants
- Attribute-to-copy map
- Suppression and review flags
02 · topology
Small specialists. Named handoffs. One accountable decision.
Each stage produces an artifact another stage can inspect. The final node is a person, not an autonomous write to an external system.
- 01
intake
Validate and normalize the nurture personalization draft inputs.
- 02
audience context mapper
Produce the personalized draft variants.
- 03
copy variant writer
Produce the attribute-to-copy map.
- 04
lifecycle marketing reviewer
Challenge the nurture personalization draft result and prepare an approval packet.
- 05
marketing owner
A lifecycle owner approves audience, content, suppression, and send activation.
intake→ validated input packet →audience-context-mapper
audience-context-mapper→ Personalized draft variants →copy-variant-writer
copy-variant-writer→ Attribute-to-copy map →lifecycle-marketing-reviewer
lifecycle-marketing-reviewer→ approval packet with evidence references →human-approver
03 · authority
Grant the run only what this case needs.
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.
case inputs
workspace/marketing/nurture-personalization-draft/inputs/**Read only the evidence attached to this workflow instance.
case outputs
workspace/marketing/nurture-personalization-draft/outputs/**Write drafts and evidence artifacts without modifying source records.
approved tools
marketing:nurture-personalization-draft:read-or-proposeInvoke only tools explicitly granted for this run; external writes remain gated.
04 · implementation
A private, bounded starting manifest.
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.
a2a.yamlsafe starting point
name: marketing-nurture-personalization-draft
version: 0.1.0
entrypoint: agent:BlueprintAgent
expose:
public: false
composition:
planning: deterministic_dag
max_nodes: 6
max_parallel: 1
max_replans: 005 · acceptance test
Pass only with evidence.
- 01
Evidence traceability
Every material conclusion cites an input artifact or a scoped tool result from this run.
- 02
Personalization uses only consented business context and preserves the approved offer and claims.
Personalization uses only consented business context and preserves the approved offer and claims.
- 03
Approval boundary
The run stops at a proposal and records the human decision before any external side effect.
failure containment
Stop small. Preserve the evidence.
Consent, suppression, or attribute provenance cannot be confirmed.
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.
A required input or tool grant is unavailable.
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.
06 · proof
Sign the run facts. Keep money in the billing ledger.
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.
ExecutionReceipt · selected fieldsEd25519 token
{
"receipt_id": "rcpt_01J...",
"schema_version": 1,
"agent_name": "marketing-nurture-personalization-draft",
"caller": "user:workflow-owner",
"task_id": "case_nurture_personalization_draft",
"skill_name": "nurture_personalization_draft",
"input_hash": "4d7c...9a2f",
"grant_ids": [
"grt_case_inputs",
"grt_tool_propose"
],
"status": "ok",
"result_preview": "Output prepared: Personalized draft variants. Human decision remains separate.",
"elapsed_ms": 4218
}related blueprints
Keep the operating model consistent.
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put the pattern to work
Start private. Scope the authority. Require the decision.
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.