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Overview

Personal AI helps you build customized AI personas trained on your proprietary data. This guide covers the essential concepts and features to help you get started.

Quick Start Guide

Create your first AI persona in minutes

Core Concepts

Understand the fundamental building blocks of Personal AI

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Core Components

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AI Personas

Each persona is a distinct AI identity with its own:
  • Segregated data and memory
  • Customizable purposes (personal use, professional tasks, public-facing)
  • Managed workspace capabilities

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Training Methods

Personal AI offers two primary training approaches:

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1. Bulk Training (WebApp/Desktop)

  • Upload documents (PDFs, Word docs)
  • Import website content
  • Connect cloud storage (Google Drive, OneDrive)
  • Process email data (Gmail, Outlook)

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2. Continuous Training (Mobile/WebApp)

  • Save messages to AI memory
  • Edit and improve AI responses
  • Real-time learning through interactions

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Interaction Modes

  • Autopilot: AI responds automatically to queries
  • Copilot: AI drafts responses for your review and approval
  • Personal Score: Measures how accurately the AI’s response reflects your knowledge/style

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Key Features

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Memory Management

  • Memory Stack: Collection of all training data and learned information
  • Upload Library: Central repository for managing uploaded content
  • Memory Integration: Connect with external services

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Communication Channels

  • Direct Messages: One-on-one conversations with your AI
  • Channels: Group conversations with multiple participants
  • Public Chat: Allow others to interact with your AI through a public interface

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Customization Options

  • Persona settings (name, photo, identity)
  • Communication style and traits
  • Channel directives for specific use cases
  • Privacy settings and sharing controls

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Getting Started Steps

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1. Create Your First Persona

  • Choose a name and identity
  • Set communication style and traits
  • Define custom directives if needed

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2. Add Initial Training Data

  • Upload relevant documents
  • Connect desired integrations
  • Begin saving important messages to memory

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3. Start Interacting

  • Test different interaction modes
  • Refine responses through feedback
  • Monitor personal scores to gauge accuracy

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4. Expand and Optimize

  • Create additional personas as needed
  • Fine-tune settings based on usage
  • Implement channel-specific directives

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Available Tools

Chrome Extension

Easy web content saving and management

Mobile App

Train and interact on the go

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Best Practices

Optimization Guidelines

  • Start with focused, high-quality training data
  • Use descriptive tags for better memory organization
  • Regularly review and update persona settings
  • Utilize both bulk and continuous training methods
  • Monitor personal scores to identify areas for improvement