Addy AI

Automatically ranks incoming emails by importance and relevance based on learned user preferences, sender relationships, and content semantics. Surfaces critical messages while deprioritizing low-value emails without traditional spam filtering rules.

Generates concise summaries of long email conversations, extracting key decisions, action items, and context while preserving critical information. Reduces reading time on multi-message threads without losing important details.

Generates draft email responses that match the user's writing style and tone, reducing composition time while maintaining authenticity. Learns from user's sent emails to replicate voice and communication patterns.

Analyzes incoming email tone and generates responses that match appropriate formality, friendliness, or urgency levels. Ensures outgoing emails maintain consistent communication style relative to the sender's approach.

Automatically identifies and extracts key context from emails including decisions, deadlines, stakeholders, and action items. Surfaces critical information without requiring manual parsing.

Enables semantic search across email archives using natural language queries rather than keyword matching. Finds relevant emails based on meaning and context rather than exact word matches.

Provides analytics on email patterns including volume trends, top senders, response times, and communication patterns. Helps users understand their email habits and identify optimization opportunities.

Identifies and filters spam, promotional, and unwanted emails using AI-powered classification. Learns from user behavior to improve filtering accuracy over time.