Long-form guides on the craft of AI-assisted deep research — how to do systematic literature reviews, structure citations, and build branching knowledge trees. Written like an academic survey: cited, footnoted, with references.
Deep research now means agentic search product, methodology, and output shape. Conflating them produces unreliable AI research workflows.
Read pillar guide 02 · Deep researchRun a systematic literature review with AI without losing rigor: protocol-first search, human screening, extraction checks, and PRISMA-ready records.
Read cluster guide 03 · Knowledge managementA branching knowledge tree is decision infrastructure, not memory. Here is what Luhmann actually built, what evergreen notes are not, and when tree fails.
Read cluster guide 04 · WorkflowsA research workflow is decided by a small set of choices made between stages, not by the stages themselves. Here is how to design one that survives revision.
Read pillar guide 05 · Deep researchUse AI for competitive intelligence without shipping guesses: define the decision, collect ethical sources, freshness-check claims, and cite every signal.
Read cluster guide 06 · WorkflowsStrategy research is deadline-driven, not truth-driven. The workflow is judged on the brief that survives a partner challenge by Friday.
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