Back to corpus
architecturetechnical paper candidatescore 52

Personalized AI Inference System Architecture

> **Vision**: Replace ChatGPT with a specialized AI that knows YOU - your thinking patterns, technical expertise, communication style, and life context. Use all 289 MB of your personal data to build a topology of knowledge that responds with your context automatically.

Full HTML reader

Read the full artifact

Open in new tab

Extracted abstract or opening context

# Personalized AI Inference System Architecture ## Your Personal AI with Full Context Memory > **Vision**: Replace ChatGPT with a specialized AI that knows YOU - your thinking patterns, technical expertise, communication style, and life context. Use all 289 MB of your personal data to build a topology of knowledge that responds with your context automatically. ### Current Limitation (ChatGPT) - ❌ No memory of your previous conversations - ❌ Doesn't know your CC projects (LIM-RPS, Echelon, etc.) - ❌ Can't maintain context across sessions - ❌ Generic responses without personal context - ❌ You repeat yourself constantly ### Your Solution (Personalized DLM) - ✅ **Full context memory** - Knows all your conversations - ✅ **CC expertise** - Deep knowledge of your projects - ✅ **Personal understanding** - Knows your style and patterns - ✅ **Persistent topology** - Data organized semantically - ✅ **One prompt away** - Context loaded automatically | File | Size | Items | Content Type | Usage | |------|------|-------|--------------|-------| | **conversations.json** | 190 MB | 891 | Full conversation history | Primary training data | | **conversations_new.json** | 64 MB | 282 | Recent conversations (2025) | Latest context | | **notes.json** | 15 MB | 1,000+ | Personal notes & thoughts | Personal knowledge | | **conversation_openai.json** | 8 MB | 54 | OpenAI conversations | Additional context | | **cc_conversations.json** | 13 MB | 32 | CC-specific discussions | Domain expertise |

Promotion decision

What has to happen next

Promote into a technical note or architecture paper with implementation anchors.

Why this is not always a full paper yet

Corpus pages are public-safe readers for discovered workspace artifacts. They are not automatically final papers. A corpus item becomes a polished paper only after the editable source, evidence checkpoints, references, figures, render path, and release status are attached through the paper schema.