Handing a client the source code and prompt strings is not a handoff. They will edit the prompt, it will break, and you will get the 8 PM text. Ship the bundle instead: an eval suite, a shared source of truth, and a change trail.
A second brain is personal. In the AI era, teams need a shared one: notes each teammate can connect to their own Claude or ChatGPT. Here's what that looks like.
Your team already runs on an LLM wiki. It's just single-player. Here's how to build a shared knowledge base every teammate's Claude and ChatGPT can read.
A new hire's AI starts from zero, so they ask a senior engineer instead. Give the whole team's runbooks to a shared knowledge base and their assistant answers on day one.
Projects live inside one assistant, built for a focused task. A team needs shared context both Claude and ChatGPT can read. Here's the gap, and what closes it.
AI teams obsess over feeding the model the right context at the right time. You can do the same thing with your notes, so your AI pulls what it needs instead of you re-explaining yourself every session.
Indexing session transcripts sounds like memory. It mostly retrieves scratch work. The useful stuff was already distilled into artifacts. Keep the artifacts.
Most AI second brains fail because they dump too much into context. A useful AI memory uses retrieval, freshness, provenance, and short curated notes.
Anthropic donated MCP to a vendor-neutral foundation backed by its biggest rivals. Here is what that means, and why it makes a knowledge base built on MCP a safe bet instead of a single-vendor gamble.
Context engineering made code legible to coding agents. Your notes need the same thing. Capture is solved. Legibility is the bottleneck.
The "MCP is dead" posts are right about a real problem and wrong about the cause. Forty-two always-loaded tools is a design smell, not a protocol flaw. Here's where MCP actually wins.
A chat log is a transcript, not a knowledge base. Generation got good. Retrieval is the part that is still broken. Here is why, and what fixes it.
A second brain is a place outside your head where you store everything worth keeping. Here's what it is, why it matters, and why AI changes what it needs to do.
A plain Markdown file works for the LLM wiki pattern. Until it doesn't. Here are the five points where it stops working, and what to use instead.
A second brain is an external system for what you read, think, and decide. The traditional version is a graveyard. Here's what replaces it in 2026.
I run Hjarni's entire growth program from inside Hjarni itself. Two AIs, three folders, and a built-in MCP server. Here's the real loop, step by step.
Notion has 47 features you'll never touch. Obsidian needs plugins for everything. Both assume you want a system. You don't. You want to write something down, find it later, and let your AI read it too.
Andrej Karpathy's LLM wiki gist nails it. Stop dumping documents at LLMs. Build a brain. Hjarni hosts it over MCP, in Claude and ChatGPT, on every device.
Your AI remembers a few facts about you, not your codebase. Here are five notes that fix that — so every conversation starts with context instead of from zero.
Learn how startups avoid information loss by using Hjarni's shared knowledge base.
Every AI conversation eventually resets. The real cost isn't the limit — it's re-explaining yourself every time. Your knowledge deserves a home you own.
I connected Claude to my notes via MCP. Setup took 2 minutes. Now every conversation starts with my project context already loaded — no pasting, no re-explaining. Here is what changed about how I work.
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