Golden Example — Job Description Optimization (Agent Process)

The Benchmark

Status: AWAITING FIRST DEPLOYMENT

The golden example will be drawn from the first completed client deployment where AI tools were used in the deliverable production process and the output passed full QC.

Interim Agent Workflow Specifications

Where AI Can Assist

Drafting from extraction notes. Given organized extraction notes, AI can draft the position profile, job description, or job ad. The practitioner reviews and refines.

Requirement inflation analysis. Given a prior job description, AI can flag likely inflated requirements — qualifications that seem disproportionate to the role level, accumulated certifications, excessive experience thresholds. The practitioner validates during extraction.

Job ad optimization. Given a draft job ad, AI can suggest improvements for candidate attraction — reframing requirements as identity statements, strengthening the opening hook, adjusting tone for the target audience and channel.

Market language comparison. Given a role title and industry, AI can analyze how similar roles are described in market postings — revealing language patterns, common requirements, and positioning opportunities.

Cross-deliverable consistency check. Given all three deliverables, AI can compare must-haves, role purpose, and compensation across documents and flag inconsistencies.

Where AI Cannot Replace the Practitioner

Must-have vs. nice-to-have designation. This requires judgment about the organization's actual needs, informed by stakeholder conversations. AI can suggest the distinction; only the practitioner and hiring stakeholders can confirm it.

Role validation. The decision about whether a role is needed is strategic and political. AI cannot navigate the organizational dynamics involved.

Organizational context. The "what's happening right now" section requires insider knowledge of the organization's current state — not general industry context.

Tone calibration for the specific organization. The job ad's tone must match both the organization's brand and the target candidate's expectations. AI can approximate; the practitioner must verify.

What the Golden Example Does NOT Provide

Prompts, tool selection, or workflow sequence for your build. Those depend on the practitioner's AI comfort level and the engagement context.