e1108b6112
Adds corporate memory v1 (verification flywheel + contradiction detection + confidence scoring) and v1.5 (audience-based distribution + per-item privacy + admin curation). Server: GET /api/memory/bundle returns mandatory + ranked-approved items within a token budget; POST /api/memory/admin/mandate accepts an audience field gated against user_group_members; /api/memory/stats uses SQL aggregation. CLI: da sync writes received items to .claude/rules/km_*.md. Verification detector extracts knowledge candidates from session JSONL files. Auto-tagging via Haiku when ai: is configured. Adapted from the v9-era branch onto v13/v14 RBAC: _is_privileged_viewer + _effective_groups now query user_group_members JOIN user_groups; require_role(Role.KM_ADMIN) replaced with require_admin (km_admin collapsed into admin). Schema v15: knowledge_items context-engineering columns + knowledge_contradictions + session_extraction_state. Schema v16: verification_evidence. Cuts release v0.15.0 (also bundles #116 /me/debug page).
3 lines
494 B
JSON
3 lines
494 B
JSON
{"role": "user", "content": "Before we start, for reference: our CAC (Customer Acquisition Cost) is calculated as total marketing spend plus sales team cost, divided by new customers acquired in the same period. We exclude organic signups from the denominator."}
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{"role": "assistant", "content": "Thank you for that definition. I'll use CAC = (marketing spend + sales cost) / new paid customers, excluding organic signups."}
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{"role": "user", "content": "Great. Now show me CAC trends for Q1."}
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