Tiered Recallv1.1.0

A freelance web developer works on multiple client projects spanning weeks. Using Tiered Recall, each new session automatically loads core memories, recent logs, and active project files, ensuring seamless continuation without manual context restoration.

An indie game developer manages a complex game project over many days. The skill auto-loads the latest progress, bug fixes, and feature discussions, allowing immediate focus on current tasks like version iteration and testing.

A content creator producing a series of educational guides uses the system to recall previous chapter details, editorial decisions, and asset status across sessions, maintaining consistency and efficiency.

A small R&D team experimenting with multiple product ideas uses Tiered Recall to keep track of parallel experiments, hypotheses, and results from previous sessions, enabling informed decisions without revisiting the entire history.

An individual using AI as a personal assistant for daily tasks, learning, and project management benefits from the skill's automatic loading of personal preferences, ongoing tasks, and recent notes, minimizing repetitive introductions.

Offer Tiered Recall as part of a premium AI assistant subscription for professionals who need continuous context across sessions. Revenue comes from monthly or annual subscriptions.

License the skill to enterprises for integration with internal AI tools, supporting knowledge continuity for remote teams. Revenue from per-seat licensing or flat enterprise fees.

Provide basic automatic recall (limited layers/tokens) for free, and charge for advanced features like deeper recall budgets, custom indexes, and priority indexing. Revenue from premium tier upgrades.