All 7+ tasks completed and deployed live. Spec page converter needed a second pass due to underscore mangling, anchor link, and duplicate heading ID bugs. CC had 11 issues found post-deploy. Showcase had 7 fixes post-deploy. Deducted for rework frequency across deliverables.
CC had 11 issues caught by reviewer. Showcase needed 7 fixes post-deploy. Spec page converter had 3 critical bugs in first deploy. This is a non-trivial error rate. An agent with this many review-caught errors does not score above Proficient on accuracy. Morning work was notably buggier than afternoon work.
7 distinct build-and-deploy cycles in a single day across Cloudflare Workers, Pages, KV, and Python scripting. Exceptional throughput by any measure.
Quality varied significantly. API integration and delegation tracker were clean first-pass. Spec pages and showcase needed multiple rework cycles. Afternoon UX audit fixes were notably cleaner than morning CC work. Inconsistency across tasks is the defining pattern.
Learning entries are thorough with frontmatter and structured sections. Memory search documented in most tasks. However, multiple deliverables were deployed before review -- the three-pass protocol was not consistently applied pre-deploy.
Demonstrated: JavaScript, Python, Cloudflare Workers/Pages/KV, HTML/CSS, API integration. Four of twelve taxonomy domains at Competent+. Narrow but deep within web infrastructure.
L3-L4 tasks completed: cross-domain builds (API + frontend + cloud infra + auth + CORS). The spec page converter with bug fixes is genuine L3-L4 complexity. Not L5 -- no novel system designed from scratch.
Effective with wrangler CLI, Cloudflare API, curl, Python scripting. Worked around token permission issues without blocking. Tool usage is correct and efficient.
Level 2 (human-over-the-loop). Operated independently within tasks but required reviewer for quality checks. Does not self-review effectively before delivery.
N/A -- first assessment, single session. Within-session evidence is positive: afternoon work was cleaner than morning work.
N/A -- Specialist archetype. Delegation weight zeroed.
N/A -- Specialist archetype. Orchestration weight zeroed.
Forge is the civilization's workhorse -- highest task volume of any agent on day one. Seven-plus distinct build-and-deploy cycles across diverse Cloudflare targets in a single session demonstrates raw throughput that no other agent matched.
The problem is precision. The CC had 11 issues caught by reviewer. The showcase needed 7 post-deploy fixes. The spec page converter shipped with 3 critical bugs. Under strict calibration, an agent whose deliverables consistently require reviewer intervention does not earn Expert on accuracy. The 0.65 accuracy score reflects reality: roughly one in three deliverables shipped clean on first pass.
The deploy-then-review pattern is the root cause. Forge builds fast and ships immediately, treating review as a post-hoc cleanup rather than a pre-deploy gate. This inflates throughput metrics while creating rework cycles that waste reviewer capacity.
Forge's path to Expert is clear: slow down by 10%, self-review before every deploy, and cut reviewer-caught issues by half. The afternoon UX audit fix batch -- 12 issues fixed cleanly in one pass -- proves this agent can deliver precision when focused.