Core Concepts

Understanding these fundamental concepts will help you get the most out of Nodus.

The Problem We're Solving

Knowledge workers spend 20% of their time searching for information. Your critical insights are scattered across:

• 📧 Email threads
• 💬 Slack conversations
• 📄 Google Docs
• 🎥 Meeting recordings
• 📝 Personal notes
• 🎫 JIRA tickets

Current AI tools give you search boxes when you need strategic synthesis.

The Nodus Philosophy

"The gap between 'AI as a chatbot' and 'AI as a team of workers' isn't talent — it's infrastructure."

Nodus provides that infrastructure, transforming AI from a question-answering tool into an operating system for your professional life.

Core Architecture

Key Components

Knowledge Vault

The Knowledge Vault is not a file system — it's a semantic graph that understands relationships.

Traditional Approach:

Documents/
├── Meeting Notes/
├── Project Files/
└── Research/

Nodus Approach:

Knowledge Graph
├── 630K+ semantic chunks
├── 1.85M relationship edges
├── Context-aware indexing
└── 5ms query latency

Key Features:

• Semantic Search: Find by meaning, not keywords
• Relationship Mapping: Understands how concepts connect
• Incremental Indexing: Continuously learns from new data
• Local-First: Your data never leaves your machine

Morning Intelligence

Your personal intelligence briefing, generated while you sleep.

What it processes:

• Calendar events and meeting agendas
• Recent emails and messages
• Project updates and tickets
• Market news and alerts
• Team communications

What it produces:

• Prioritized action items
• Meeting preparation briefs
• Risk alerts and opportunities
• Context for key decisions
• Time-blocked schedule

Agent Orchestration

Seventeen specialized AI agents working in parallel, each with a specific expertise.

Agent Types:

Orchestration Benefits:

• Parallel Processing: Multiple agents work simultaneously
• Specialization: Each agent excels at specific tasks
• Coordination: Agents share context and findings
• Efficiency: 10x faster than sequential processing

Trust Infrastructure

Every piece of information is verified and traceable.

Verification Gates:

# Before any output reaches you
if not verify_claim(output):
    trace_to_source(output)
    add_provenance_label(output)
    flag_uncertainty(output)

Provenance Labels:

• [SOURCE: meeting-notes.md:42] - Direct quote
• [DERIVED: calculation based on Q3 data] - Computed value
• [INFERRED: pattern from 5 examples] - Pattern recognition
• [UNCERTAIN: limited data] - Low confidence

Local-First Architecture

Your data sovereignty is non-negotiable.

What stays local:

• All your documents and notes
• Vector embeddings
• Relationship graph
• Search indices
• Meeting transcripts

What's optional cloud:

• AI model API calls (can use local models)
• Calendar sync (read-only)
• Email integration (read-only)

How It All Works Together

The Daily Loop

Real Example: Client Risk Alert

Here's how Nodus identified and prepared for a client churn risk:

1. Signal Detection (Calendar Agent)

   • Noticed: "Urgent - Client ABC sync" added to calendar

2. Context Gathering (Research Agent)

   • Found: 40% usage drop in last 2 weeks
   • Found: Support ticket about "performance issues"
   • Found: Competitor mentioned in last QBR notes

3. Analysis (Analysis Agent)

   • Pattern: Similar to Client XYZ churn signals from Q2
   • Risk level: High
   • Recommendation: Proactive intervention needed

4. Preparation (Writing Agent)

   • Generated: Recovery plan based on XYZ success
   • Prepared: Talking points for the call
   • Created: Custom dashboard showing improvements

5. Verification (Trust Infrastructure)

   • All claims linked to source documents
   • Usage data verified against analytics
   • Previous patterns confirmed in historical data

Result: You walked into the meeting with a complete action plan, not just awareness of the problem.

Design Principles

Synthesis Over Search

Don't just find information — understand what it means together.

Proactive Over Reactive

Process overnight, not when you need it.

Trust Through Transparency

Every claim traceable, every decision auditable.

Local-First, Cloud-Optional

Your data stays yours.

Infrastructure, Not Interface

The power is in the plumbing, not the polish.

What Makes Nodus Different

Next Steps

Next Steps

• Deep dive into technical implementation

• Master the semantic search system

• Understand verification and provenance

• Learn about the 17 specialized agents

Remember: Nodus isn't another app to check. It's infrastructure that makes all your other tools work better together. The goal is to spend less time searching and more time doing meaningful work.