llm-wiki-faq

LLM-Wiki FAQ

Goal

Give users concrete, evidence-aware answers to common LLM-Wiki adoption questions without overclaiming. Prefer practical operating models over hype.

When to use

Use when the user asks:

• "Why do I need this?"
• "What benefits will I get?"
• "Is there evidence this works?"
• "Is this better than RAG?"
• "How do I keep it alive?"
• "Do I need Obsidian?"
• "Is this just another note-taking system?"
• "Will this become slop?"
• "What should I measure?"
• "I am not a developer; how would I use this?"
• "Why should I deal with PRs/MRs when Confluence only needs a browser?"
• "Will the wiki fit in the model context as it grows?"
• "Is this knowledge for agents or humans?"
• "What content can I upload, and what about sensitive data?"
• "Where should I start?"
• "When should I not use it?"
• "Who owns or reviews the wiki?"
• "How much time or money will this take?"
• "How do I prove ROI?"
• "Does this replace Confluence, Notion, SharePoint, RAG or search?"
• "How do I migrate safely?"
• "What if the agent is wrong?"
• "How do permissions, vendor lock-in, link rot or multi-agent access work?"
• "What are the strongest arguments against this?"
• "Will this hurt my own understanding?"
• "Will this become a write-only archive?"

Inputs

• The stakeholder's question or objection, in their own words (e.g. "Is this better than RAG?", "Do I need Obsidian?").
• Context about the target wiki: greenfield vs already migrating, team size, whether git/PR workflows already exist.
• Whether sensitive or regulated data is involved, so the answer can route to llm-wiki-privacy-redactor or llm-wiki-model-policy when needed.
• Which bundled reference files are available under references/ (evidence-pack, adoption-objections, additional-adoption-q-and-a, criticism-pack) to ground the answer.

Required references

Read these when available:

1. references/evidence-pack.md for evidence-backed adoption arguments.
2. references/adoption-objections.md for non-developer, Confluence/browser, token, human-readable, slop and sensitive-data objections.
3. references/additional-adoption-q-and-a.md for start-small, ownership, cost, ROI, migration, RAG/search, lock-in and multi-agent questions.
4. references/criticism-pack.md for serious criticism and mitigation answers.
5. Repository-level docs:
   • references/docs/adoption-objections.md
   • references/docs/adoption-q-and-a.md
   • references/docs/criticism-and-mitigations.md