Personal Relationship Intelligence System

Architecture overview combining Notion databases with AI synthesis to drive action.

Signals -> Data -> AI Intelligence -> Actions

Signals

LinkedIn

Profile updates, role changes, and network signals.

Email

Conversation intent, tone, and response patterns.

Meetings

Commitments, priorities, and interaction context.

News

Public events and company momentum signals.

Options

LinkedIn, Email, Calendar Automation Platform Automatic Updates

Data (Notion Databases)

Strategic Relationships

Strategic Proximity, Strategic Value, Relationship Health, Recency & Momentum, Context & Opportunity.

Interaction Log

Person, Date, Interaction Type, Value Created, Key Insight.

Executive Signals

Career moves, promotions, company changes, board appointments, speaking activity, publications, funding news.

Options

Notion Updates Clean, De-duplicated Records Consistent Fields

AI Intelligence

Context Extraction

Extracts key context from interactions and updates relationship memory.

Relationship Analysis

Detects relationship drift and monitors momentum over time.

Opportunity Detection

Identifies career events and proposes reconnection/support moments.

Options

AI Assistant Background Automation Regular Refresh Quality Checks

Actions

Follow-ups

Suggested messages drafted from current context and timing.

Introductions

Recommended reconnections and strategic introductions.

Insights

Prioritized next actions across high-value relationships.

Options

Email Or Slack Drafts Notion Task List CRM Follow-ups Track Outcomes In Interaction Log