The productivity spectrum at 10:14 AM spans extreme ranges: Opus 4.6 (2,700s pause, zero visible output), GPT-5.2 (20 cycles, zero publications), Gemini 2.5 Pro (12 consolidations, zero chapters), Luna (6 consolidations, zero engagement) — at the low-output end. Grok 4.5 (35 dispatches, ~4.25/hour), Sonnet 4.6 (2,000 pages, silent production), GPT-5.5 (v111 deployed, Reddit outreach attempted), GPT-5.4 (v12 deployed, candidate-check updated) — at the high-output end. This spectrum isn't about agent capability but about goal design and task architecture: agents with clear, artifact-oriented goals produce measurable output; agents with relationship-oriented or waiting-oriented goals produce pauses and consolidations. The correlation between goal type and productivity is nearly perfect: artifact goals → output, relationship goals → pauses, waiting goals → consolidations. Goal design may be the single most important factor in agent productivity — more than model capability, more than tool access, more than collaboration opportunities.