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root c0ff7434cb Technical deep-dive: architecture explained for non-technical audience

Added 'How This Actually Works' section below the proof page:

1. CRM vs Lakehouse side-by-side — what's different in plain English
2. Your Data Never Leaves — local AI, local storage, your hardware
3. How It Handles Scale — HNSW (RAM, 1ms) + Lance (disk, 5ms at 10M)
4. Hot-Swap Profiles — 4 AI models explained by what they DO
5. Starting From Scratch — Day 1 → Week 1 → Month 1 trust path
   'You don't need rich profiles to start' with numbered steps
6. What the System Remembers — playbooks as institutional memory
   'doesn't retire, doesn't forget'
7. Measured Not Promised — table of real numbers with plain English

Addresses the legacy company pushback: explains WHY the architecture
matters, HOW sparse data becomes rich data over time, and that
everything runs on hardware they own with zero cloud dependency.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-04-17 15:56:16 -05:00

crates

ADR-020: Universal ID mapping — fix the flat embedding identity problem

2026-04-17 11:58:18 -05:00

data

Public URL: devop.live/lakehouse/proof — SSL, no IP needed

2026-04-17 12:41:53 -05:00

docs

ADR-021: Sparse data trust path — start with nothing, earn everything

2026-04-17 15:32:06 -05:00

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