index 58d63ec..5cb9da7 100644
@@ -6,7 +6,6 @@ ideas:
- llm-physical-intuition
- flapping-airplanes
- context-window-optimizer
-- cognitive-foom
- spec-driven-dev
- hard-docs-writer
- ai-agent-reply
@@ -25,4 +24,4 @@ the largest cluster by count, covering the full spectrum from fundamental resear
the most actionable ideas in this cluster are the developer tooling ones: [[spec-driven-dev|spec-driven dev kit]] (rated [DO THIS] — research → plan → implement pipeline with context management) and [[overnight-app-grinder|overnight app grinder]] (autonomous coding agent manager). both reflect a meta-insight: the bottleneck for AI-assisted development is not model capability but workflow — how you structure the problem, manage context, and review outputs. [[agents-md-research|AGENTS.md optimization research]] goes even deeper, asking how instruction structure affects model recall. on the application side, [[ai-agent-reply|AI agent reply]] and [[ai-conversationalist|AI conversationalist]] both depend on [[me-model|me model]] for personalization, while [[ai-onboarding|AI onboarding]] addresses the human adoption side.
-the more speculative work — [[cognitive-foom|cognitive foom]] (recursive self-improvement infrastructure) and [[llm-physical-intuition|LLM physical intuition]] — is research-oriented and harder to scope into a 2-month project, but potentially more impactful. [[context-window-optimizer|context window optimizer]] is the connective tissue between this cluster and [[cluster-memory-and-context|memory and context tools]] — if you're building agents that work with personal context ([[axon|axon]], [[always-on-ai-assistant|always-on assistant]]), context management is a first-class engineering concern.
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+the more speculative work — [[llm-physical-intuition|LLM physical intuition]] — is research-oriented and harder to scope into a 2-month project, but potentially more impactful. [[context-window-optimizer|context window optimizer]] is the connective tissue between this cluster and [[cluster-memory-and-context|memory and context tools]] — if you're building agents that work with personal context ([[axon|axon]], [[always-on-ai-assistant|always-on assistant]]), context management is a first-class engineering concern.
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