AI-ready knowledge systems for teams that are done starting every conversation from zero.

I test the leading second-brain approaches in public, extract what actually works, and implement clean, maintainable context layers so your AI tools stop hallucinating your brand, processes, and decisions.

Book a Context Audit

The problem

Most AI projects fail in the same place. The tools are fine. The context is a mess.

Scattered Drive folders, Slack threads, meeting transcripts, half-finished pages, and tribal knowledge that lives only in people’s heads. When you connect an agent to that chaos, you get confident nonsense.

You don’t need another tool. You need a structured, AI-readable memory layer that stays current.

What SecondBrain XL is

A done-with-you or done-for-you implementation of a hybrid knowledge system built on principles tested in public:

Clean, owned core (Markdown or equivalent)
Clear schema and routing so any strong model can load the right context fast
Practical ingestion and maintenance rules so the system doesn’t rot
Designed first for usefulness with AI agents, not just human browsing

This is not a Notion template or a generic course. It is an operating context layer for your actual work.

Who it’s for

Founders and operators of agencies, consulting firms, or service businesses
Small teams that already use AI tools but keep re-explaining the same background
People who have tried personal knowledge systems and watched them die from neglect
Anyone who wants their AI outputs to sound like their company instead of a generic model

The process

1. CONTEXT AUDIT

Paid, fixed scope

We map where your knowledge currently lives, identify the highest-leverage gaps, and produce a clear implementation plan. Audit fee is credited toward the full build if you proceed.

2. SCHEMA & ARCHITECTURE

Opinionated structure

We lock a simple structure based on the hybrid approach developed from public testing.

3. BUILD & INGESTION

Make it usable

Core context is structured, linked, and made AI-readable. Priority sources are loaded. Basic maintenance rules are installed.

4. HANDOFF

You own it

Working system + clear operating instructions. Optional ongoing data-care retainer available.

Pricing bands

Context Audit — $750–$1,500 (credited toward implementation)
Core Implementation — $3,500–$7,500 (typical for most small teams)
Complex / multi-source builds — custom
Data-Care Retainer — $1,500–$3,500/month (optional)

Exact scope and price confirmed after the audit.

Ready to stop feeding your AI tools chaos?

Book the Context Audit. Limited slots. Serious inquiries only.

Book Context Audit