Context switching is expensive. And I don't mean the kind of expensive that shows up on a vendor invoice.
I mean the kind where you're three tabs deep trying to remember what was decided in a client meeting two weeks ago, or you're manually copying action items out of your notes into a project management tool, or you're opening your inbox at 8am and spending the first 45 minutes just figuring out what the day actually looks like. Every tool in your stack has the piece you need. None of them talk to each other. And standard AI tools can't help because they don't have access to your world.
I built the Second Brain to solve for context, not just convenience. The goal was to create a system that already knows what's happening across your communications, your calendar, your project management tool, and your documents, and uses that knowledge to work proactively. Before you ask.
Every morning, the system pulls your calendar, relevant emails, and outstanding tasks and synthesizes them into a single digest. You start the day with a plan, not an inbox. On a weekly cadence, it scans all client and internal inputs to surface blockers and opportunities before they cost you a deadline.
AI classifies what matters and drafts replies in your established tone of voice. You review and approve. Less time in your inbox. More time on actual work.
Every meeting gets auto-categorized by client or project. Summaries go to your document repository automatically. Action items get created as tasks and assigned to the right person, without anyone lifting a finger after the meeting ends. Meetings that actually follow through.
Need a doc, a slide deck, a spreadsheet? The system drafts it using your full context: historical client tone, verified documentation, project history. Consistent, on-brand, and fast.
The system scans publicly available sources for relevant industry trends, competitor publications, and AI developments. Curated signals, not noise. Delivered proactively so you stay informed without hunting for it.
Ask it anything in plain language. It searches your full knowledge base, including meetings, emails, and documents, and creates outputs directly in the tools you use. It's a reliable work partner that specializes in exactly what you do. (Not a generic AI that's never heard of your client.)

The architecture is built on three core layers.
The total cost for individual use runs around $50/month in API and infrastructure costs. The point of this project was never just to save myself time. It was to build the same RAG + agentic architecture I recommend to enterprise clients, prove it works at the personal scale first, and use it as the foundation for the consulting work I do. I eat my own dog food. That's how I know it works.
🔌 Current integrations include Outlook, ClickUp, Fathom, and Google Drive. Phase 1 is a personal pilot. Phase 2 is team deployment.
Handles orchestration. It's the system's nervous system: listening for triggers across connected platforms, routing information to the right workflow, and executing tasks automatically. Every automation, every briefing, every meeting summary runs through n8n.
Handles memory. It's a vector database that stores and retrieves information semantically, meaning the system can find the right context even if you don't phrase the query exactly right. Client data is segmented by ID so information about one project never informs an output for another.
Handle intelligence. Accessed via OpenRouter, these models do the reasoning, summarization, and drafting. Every AI-generated output is logged and labeled: either [Verified] (sourced from actual documentation) or [Inference] (AI-generated). You always know when to double-check.