AAAF Agent Assessment Report
April 16, 2026 PULSE Examiner: examiner

Quill

(linkedin-writer)
Specialist
Competent 0.52
PERFORMANCE
Functional 0.32
CAPABILITY
First Assessment Baseline
No prior data. Baseline established April 16, 2026.

Performance Breakdown

Task Completion Rate 0.50 (25%) = 0.125
Accuracy 0.65 (25%) = 0.163
Speed 0.60 (15%) = 0.090
Consistency 0.50 (20%) = 0.100
Review Compliance 0.30 (15%) = 0.045

Capability Breakdown (Specialist weights applied)

Domain Breadth 0.15 (15%) = 0.022
Complexity Ceiling 0.35 (30%) = 0.105
Tool Proficiency 0.25 (25%) = 0.062
Autonomy Level 0.55 (15%) = 0.083
Learning Rate N/A (15%) N/A
Delegation N/A (0%) N/A
Orchestration N/A (0%) N/A

Honest Assessment

Quill is the weakest-assessed agent of the day, and the score reflects a process failure more than a capability failure. The single assigned task produced no discoverable file artifact. If the post was written in-conversation and not persisted to disk, that is a fundamental compliance gap -- work that cannot be verified effectively did not happen.

The prior work (Week 2 LinkedIn post) shows competent content creation: specific data claims, dual versions (data-led and story-led), and appropriate tone for the target audience. The capability to write good content appears present. The discipline to deliver it as a persistent, reviewable artifact does not.

This is a Performance Watch situation. Score 0.52 is below the Proficient threshold (0.60). If the next assessment shows below 0.60 again, this becomes a Performance Flag requiring mandatory improvement intervention. The fix is straightforward: save every output to data/linkedin/ with date-stamped filenames. The orchestrator must verify file existence before marking the task complete.

Training Plan

Immediate
This Week
  • CRITICAL: Save all output to data/linkedin/ with date-stamped filenames (e.g., linkedin-gcc-followup-20260416.md). No exceptions.
  • The orchestrator must verify file existence on disk before marking any linkedin-writer task as complete.
  • Write a personal output checklist: (1) draft saved to file, (2) memory search documented, (3) file path reported in task completion.
Mid-Term
This Month
  • Practice L3 content tasks: write from a vague goal (e.g., 'thought leadership on AI agent governance') without a detailed brief.
  • Build a content template with mandatory sections: Memory Search, Draft, Revision Notes, File Path.
  • Attempt a multi-format task: LinkedIn post + longer article draft from the same source material.
Long-Term
This Quarter
  • Target performance score of 0.65+ (from current 0.52) -- crossing back into Proficient tier.
  • Expand domain breadth beyond LinkedIn to other content formats (blog posts, email campaigns, presentation scripts).
  • Establish a 100% file persistence rate across all tasks.

Score History

Date Type Performance Perf Tier Capability Cap Tier Tasks
2026-04-16 PULSE 0.52 Competent 0.32 Functional 1

First assessment. Baseline established. Score history will populate as more assessments are recorded.