
Eduardo Lelis developed an AI-powered email digest system for the elie222/inbox-zero repository, focusing on automation, scheduling, and rule management. He refactored core automation components to align with assistant-driven workflows, integrated AI summarization for digest content, and centralized scheduling logic with persistent settings. Using TypeScript, Next.js, and Prisma, Eduardo implemented robust API and backend changes, including a data model migration to support new digest features. He enhanced reliability through targeted tests and improved error handling, while maintaining code clarity and consistency. His work addressed both user-facing functionality and long-term maintainability, laying a solid foundation for future feature expansion.

June 2025: Delivered AI-powered Email Digest System with scheduling, onboarding, and cold-email digestion, centralizing digest creation, delivery timing, and scheduling calculations with persistent settings. Also completed code hygiene and stability work, including a Prisma migration to support the new digest data model and targeted tests for cold-email flows, while maintaining user-facing behavior.
June 2025: Delivered AI-powered Email Digest System with scheduling, onboarding, and cold-email digestion, centralizing digest creation, delivery timing, and scheduling calculations with persistent settings. Also completed code hygiene and stability work, including a Prisma migration to support the new digest data model and targeted tests for cold-email flows, while maintaining user-facing behavior.
Monthly wrap-up for 2025-05: Delivered a major overhaul of the AI Assistant and Rule Management in inbox-zero, introduced AI-assisted digest emails with scheduling and configurable rules, and refreshed core dependencies to strengthen security, performance, and developer productivity. The work focused on aligning automation components with "assistant" terminology, improving rule management UX, enabling AI-generated content, and enabling feature-flag driven rollout via PostHog.
Monthly wrap-up for 2025-05: Delivered a major overhaul of the AI Assistant and Rule Management in inbox-zero, introduced AI-assisted digest emails with scheduling and configurable rules, and refreshed core dependencies to strengthen security, performance, and developer productivity. The work focused on aligning automation components with "assistant" terminology, improving rule management UX, enabling AI-generated content, and enabling feature-flag driven rollout via PostHog.
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