Togglev1.0.6

An AI agent generates a morning briefing summarizing the user's previous day's work sessions, highlighting focus scores, context switches, and unfinished tasks. It proactively nudges the user to resume stale projects based on activity patterns, enhancing daily planning and continuity.

The agent analyzes repeated workflows and domains from the user's activity data to identify manual processes. It suggests automations or integrations, such as scripting common tasks, improving efficiency by reducing repetitive work across tools like GitHub or development environments.

For consultants or teams, the agent uses the skill to fetch and summarize work sessions over date ranges, generating detailed reports on project time allocation and productivity scores. This aids in client billing, performance reviews, and resource management without manual logging.

When a user asks about past activities, the agent retrieves specific sessions from memory, answering questions like 'What was I working on yesterday?' or 'Where did I leave off?'. It leverages workflow descriptions and project tasks to provide accurate, context-rich recall for seamless task resumption.

Offer ToggleX as a subscription-based service where users pay monthly for access to the context layer API and analytics. Revenue comes from tiered plans based on data retention, number of projects, or advanced features like automation suggestions, targeting individual professionals and small teams.

License the skill to large organizations for integration into their internal AI systems or productivity tools. Revenue is generated through one-time setup fees and ongoing support contracts, focusing on customization, security compliance, and scalability for corporate workflows.

Provide a free basic version with limited data history or features, while charging for premium upgrades such as extended date ranges, advanced pattern detection, or priority API access. This model attracts a broad user base and converts engaged users to paid plans.