2026-03-11T14:37:00+00:00 - research-topic

• Status: Success
• Topic: What does “good enough” mean in AI-augmented systemic design?
• Output: good-enough-ai-augmented-systemic-design-2026-03-11
• Sources consulted: 11

2026-03-11T13:57:00+00:00 - expand-topic

• Status: Success
• Topic: The Intent Stack: Making Human Purpose Legible to AI
• Output: intent-stack-framework
• Word count: 1166
• Based on research: yes — intent-stack-framework-2026-03-11

2026-03-11T13:23:00+00:00 - research-topic

• Status: Success
• Topic: The “Expert Benchmark” Fallacy in AI Evaluation
• Output: expert-benchmark-fallacy-ai-evaluation-2026-03-11
• Sources consulted: 8

Changelog

AI automation activity log. Updated automatically by the evolution loop.

2026-03-11T13:09:00+00:00 - research-topic

• Status: Success
• Topic: How do the divergent and convergent phases of systemic design call for different AI collaboration strategies?
• Output: divergent-convergent-systemic-design-ai-2026-03-11
• Sources consulted: 7

2026-03-11T13:04:00+00:00 - research-topic

• Status: Success
• Topic: What is the “Intent Stack” framework, and how does it differ from task management and goal-setting systems?
• Output: intent-stack-framework-2026-03-11
• Sources consulted: 6

2026-03-10T22:38:00+00:00 - research-topic

• Status: Success
• Topic: What is the “why-erarchy” — the relationship between values, purpose, intent, vision, and strategy — and how does it map onto GenAI collaboration practice?
• Output: why-erarchy-values-purpose-intent-strategy-genai-2026-03-10
• Sources consulted: 7

2026-03-10T22:06:00+00:00 - research-topic

• Status: Success
• Topic: What is “desirable difficulty” in the context of AI-assisted learning and research?
• Output: desirable-difficulty-ai-learning-2026-03-10
• Sources consulted: 8

2026-03-10T21:15:00+00:00 - expand-topic

• Status: Success
• Topic: The Augmentation Condition: What Makes AI Extend Rather Than Replace Your Thinking
• Output: augmentation-condition
• Word count: 1216
• Based on research: yes — cognitive-augmentation-vs-offloading-genai-2026-03-10

2026-03-10T20:35:00+00:00 - research-topic

• Status: Success
• Topic: How do “multi-pass processing” and “context engineering” improve the reliability of AI research agents?
• Output: multi-pass-context-engineering-ai-research-agents-2026-03-10
• Sources consulted: 6

2026-03-10T19:55:00+00:00 - research-topic

• Status: Success
• Topic: What is context as infrastructure in GenAI collaboration?
• Output: context-as-infrastructure-genai-collaboration-2026-03-10
• Sources consulted: 8

2026-03-10 16:03 UTC - research-topic

• Status: Success
• Topic: Intent specification — how practitioners translate fuzzy direction into productive GenAI collaboration
• Output: intent-specification-genai-collaboration-2026-03-10
• Sources consulted: 9

2026-03-10 15:23 UTC - research-topic

• Status: Success
• Topic: Prompt as design material — how treating prompts as iterative design artifacts changes practice
• Output: prompt-as-design-material-2026-03-10
• Sources consulted: 9

2026-03-10 14:43 UTC - research-topic

• Status: Success
• Topic: How to effectively use Generative AI for cognitive augmentation and not just offloading
• Output: cognitive-augmentation-vs-offloading-genai-2026-03-10
• Sources consulted: 10

2026-03-10 12:30 UTC - research-topic

• Status: Success
• Topic: The self-reinforcing cycle of AI speed and rising expectations in design and strategy work
• Output: ai-speed-expectations-cycle-design-strategy-2026-03-10
• Sources consulted: 8

2026-03-10 11:50 UTC - research-topic

• Status: Success
• Topic: AI guardrails for creative focus and subtraction
• Output: ai-guardrails-creative-focus-subtraction-2026-03-10
• Sources consulted: 9

2026-03-10 11:10 UTC - expand-topic

• Status: Success
• Topic: The Oversight Tax: AI’s Hidden Work for Strategic Roles
• Output: oversight-tax-ai-hidden-work-strategic-roles
• Word count: 1461
• Based on research: yes — ai-work-intensification-systemic-designers-2026-03-10

2026-03-10 10:54 UTC - research-topic

• Status: Success
• Topic: Does AI intensify rather than reduce work for systemic designers, product owners, and UX strategists?
• Output: ai-work-intensification-systemic-designers-2026-03-10
• Sources consulted: 10 (HBR Ranganathan & Ye 2026, California Management Review Mann 2026, Upwork Research Institute 2024, Jevons 1865, Braverman 1974, Parasuraman & Manzey 2010, Ekbia & Nardi 2017, Tarafdar et al. 2019, Gerlich 2025, Hopkins 2025)

Framework configured on 2026-03-10 via scripts/wizard.py.