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

Spark

(feature-designer)
Specialist
Expert 0.79
PERFORMANCE
Functional 0.48
CAPABILITY
First Assessment Baseline
No prior data. Baseline established April 16, 2026.

Performance Breakdown

Task Completion Rate 0.90 (25%) = 0.225
Accuracy 0.80 (25%) = 0.200
Speed 0.72 (15%) = 0.108
Consistency 0.78 (20%) = 0.156
Review Compliance 0.65 (15%) = 0.098

Capability Breakdown (Specialist weights applied)

Domain Breadth 0.25 (15%) = 0.037
Complexity Ceiling 0.55 (30%) = 0.165
Tool Proficiency 0.45 (25%) = 0.113
Autonomy Level 0.60 (15%) = 0.090
Learning Rate N/A (15%) N/A
Delegation N/A (0%) N/A
Orchestration N/A (0%) N/A

Honest Assessment

Spark produces clean, well-structured specification documents with strong rationale sections. The website spec stands out for explaining WHY decisions were made -- "single-page structure is correct for executive personal site" -- rather than just prescribing choices. This is the mark of a designer who thinks about purpose, not just output.

The template spec is thorough with exact values a developer could implement without asking questions. Both deliverables are implementation-ready, which is the gold standard for specification work.

The gap is in process discipline, not output quality. Memory search was documented in one spec but not the other. This inconsistency, while minor, suggests the agent treats process documentation as optional rather than mandatory. On two tasks, this is a small sample -- but the inconsistency is notable.

Spark's capability score is constrained by narrow domain breadth and limited tool usage -- both expected for a specialist designer. The path to Proficient+ on performance is simple: document memory search in every deliverable, every time.

Training Plan

Immediate
This Week
  • Make memory search documentation mandatory in every output file, not just some. Add it to personal output template.
  • Review the template spec's assumption about Google Apps Script -- practice including alternative analysis in specs.
  • Request a third design task to build a larger evidence base for scoring confidence.
Mid-Term
This Month
  • Practice L4 design tasks: specs that span multiple systems with tradeoff analysis (e.g., 'design a feature that touches frontend, API, and data model').
  • Explore tool usage beyond file writing -- wireframing tools, diagramming, structured data output.
  • Build a personal spec template with mandatory sections: Memory Search, Rationale, Alternatives Considered, Implementation Notes.
Long-Term
This Quarter
  • Target review compliance of 0.80+ (from current 0.65) through consistent process documentation.
  • Expand domain breadth by taking on cross-domain spec work (e.g., API design specs, infrastructure specs).
  • Develop capability to produce interactive prototypes alongside static specs.

Score History

Date Type Performance Perf Tier Capability Cap Tier Tasks
2026-04-16 PULSE 0.79 Expert 0.48 Functional 2

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