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production blueprint · people operations

Interview evidence summary agent blueprint.

Organize submitted interviewer evidence by approved competency and surface missing or contradictory observations without recommending a hire.

Search intent: AI agent for interview feedback summaries

Published by a2a cloudProduct-source methodology →
01 · the contract

Start from a bounded job, not a blank chat box.

trigger

An authorized interview loop closes and submitted feedback is available.

owner

people operations owner

agent stops at

Authorized humans make and document every progression, selection, or rejection decision.

KPI · increase

decision meetings with complete evidence (percent). Measure authorized meetings with evidence for every reviewed competency.

inputs

Evidence the run may read

  • Submitted interviewer feedback
  • Approved competency rubric
  • Conflict and decision-process guidance
outputs

Artifacts the run must produce

  • Competency evidence matrix
  • Missing and conflicting evidence list
  • Decision-meeting question set
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.

  1. 01

    intake

    Validate and normalize the interview evidence summary inputs.

  2. 02

    feedback normalizer

    Produce the competency evidence matrix.

  3. 03

    competency evidence mapper

    Produce the missing and conflicting evidence list.

  4. 04

    recruiting decision facilitator

    Challenge the interview evidence summary result and prepare an approval packet.

  5. 05

    people operations owner

    Authorized humans make and document every progression, selection, or rejection decision.

intakevalidated input packetfeedback-normalizer
feedback-normalizerCompetency evidence matrixcompetency-evidence-mapper
competency-evidence-mapperMissing and conflicting evidence listrecruiting-decision-facilitator
recruiting-decision-facilitatorapproval packet with evidence referenceshuman-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.

read

case inputs

workspace/people-ops/interview-evidence-summary/inputs/**

Read only the evidence attached to this workflow instance.

write-output

case outputs

workspace/people-ops/interview-evidence-summary/outputs/**

Write drafts and evidence artifacts without modifying source records.

invoke-scoped-tool

approved tools

people-ops:interview-evidence-summary:read-or-propose

Invoke only tools explicitly granted for this run; external writes remain gated.

required human decision

Authorized humans make and document every progression, selection, or rejection decision.

Decision owner: people operations owner.

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: people-ops-interview-evidence-summary
version: 0.1.0
entrypoint: agent:BlueprintAgent
expose:
  public: false
composition:
  planning: deterministic_dag
  max_nodes: 6
  max_parallel: 1
  max_replans: 0
05 · acceptance test

Pass only with evidence.

  1. 01

    Evidence traceability

    Every material conclusion cites an input artifact or a scoped tool result from this run.

  2. 02

    The summary preserves source attribution, excludes protected information, and provides no automated recommendation or score.

    The summary preserves source attribution, excludes protected information, and provides no automated recommendation or score.

  3. 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.

Feedback lacks behavioral evidence, contains prohibited information, or was submitted outside the approved process.

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": "people-ops-interview-evidence-summary",
  "caller": "user:workflow-owner",
  "task_id": "case_interview_evidence_summary",
  "skill_name": "interview_evidence_summary",
  "input_hash": "4d7c...9a2f",
  "grant_ids": [
    "grt_case_inputs",
    "grt_tool_propose"
  ],
  "status": "ok",
  "result_preview": "Output prepared: Competency evidence matrix. Human decision remains separate.",
  "elapsed_ms": 4218
}
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.