How I Cloned My Favourite Experts Into AI Agents
A 39-minute live build of a knowledge-grounded Notion AI specialist, using Seth Godin as the source material.
June 5thA 53-minute live-demo reaction showing how file-and-folder routing gives AI agents permanent, LLM-agnostic memory that no company can take away.
An AI agent that never gets lost doesn't need better memory from OpenAI or Anthropic — it needs a router map written in plain files and folders that any LLM can read and follow.
AI agent memory isn't a technology problem — it's an organization problem you can solve with plain files. By placing AGENTS.md router files in every folder, you give any LLM a map that tells it where to go, what to do there, and what to do if it's lost. The host live-demos the system across four different AI apps and shows that switching between them requires no re-onboarding. The core workflow uses two keywords — 'pickup' for a start-of-session context brief and 'handoff' for an end-of-session state save — both triggered by single words that hit pre-written file-based instructions rather than manual prompting.
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Personal backstory of 8 months of vibe coding frustration. Strong opening claim: this is the most valuable AI video on YouTube.

Live demo of three nested AGENTS.md files routing an agent through a skill file to write 'control your agent' one word at a time.

Runs the experiment in Claude Code. Agent completes the multi-hop chain unprompted. Done, boss.

Same experiment in Codex. Emphasizes agents can execute goal-level tasks without being told the goal at runtime.

Demystifies agents — it's just a prompt. Shows that an AGENTS.md file with the same prompt as a ChatGPT GPT produces identical behavior.

Opens OpenClaw's pre-installed AGENTS.md to show professional AI products use the same pattern. 'If you can read these files, you can build your own.'

Live look at the host's actual iScaleLabs folder structure. Each folder has its own AGENTS.md with sub-instructions.

Deep dive on the map layer. Building-floor analogy. ROUTER.md becomes the master org directory.

Says 'I want to work on iScale merch' in the lobby folder. Agent navigates to the correct project folder without being told where it lives.

Throws off-topic requests at the agent — task list, automations. Agent uses router to find the right file every time without prompting.

Full ROUTER.md map revealed. Gate logic explained: if task isn't in this folder's scope, return to root. Routing is self-correcting.

Two-keyword workflow: 'pickup' = read-only context brief at session start; 'handoff' = full state save at end. Both triggered by one word.

Mid-session project switch from iScale Merch to PinTwist. Handoff writes context. Later pickup in PinTwist recovers 'PinTwist World, VR walkthrough' without re-prompting.

Full cross-app demo: VS Code, Cursor, Hermes. Same AGENTS.md pasted into each. All recover PinTwist World context.

Counter-example: Claude CLI from C: drive root with no AGENTS.md produces confused, token-wasting responses. Pasting the AGENTS.md path immediately fixes it.

Pro tip: get Jake's transcript, give it to your AI, ask it to design a system. Shows the agent building an Electrician Training sub-folder with safety guardrails it invented.

Companies are spending millions trying to solve memory. This already solves it. 'This is not an AI thing. This is a human thing.'

When voice agents arrive, users with this folder system already built will have an agent that never gets lost for free.

Call to action to support Jake Van Clief. Subscribe close.
Agent context that persists across tools and sessions doesn't require a paid subscription — it requires a folder structure with plain-text routing files that any LLM can read.
“You can't sell files and folders.”
“It doesn't matter where I go. As long as it reads that right file you wanted to read, it fixes everything.”
“I cannot tell you the last time I had an AI say I don't know what you're talking about.”
“Do not let AI run things for you. AI is not good at organizing. You are.”
“What if the best agent you ever use is the one you build yourself?”
See every word as it's spoken — crank it to 2× and still catch all of it. The same dual-channel trick behind Amazon's Kindle + Audible.
The title is a dare — and the host makes good on it for 53 minutes. This is a reaction video that earns the superlative: a live-demo walkthrough of the file-and-folder AI routing system that gives agents permanent memory across every LLM, for free, using nothing but plain text files.
An agent is never lost if it always knows where it is, what it's doing, and what resources it has access to.
Two single-word triggers replace manual session re-onboarding. The instructions live in the file, not the prompt.
Self-correcting routing — the agent can never stay lost because every dead end points back to the map.
“If you got any value out of this, please like and subscribe. And I'll see you on the next one.”
Clean, single-beat close at the very end. No mid-roll asks. The 53-minute demo is itself the CTA.
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53:12A 39-minute live build of a knowledge-grounded Notion AI specialist, using Seth Godin as the source material.
June 5thA 93-minute beginner primer on building AI agents that actually work, from a self-taught dev who argues simplicity beats complexity every time.
June 1stA 9-minute teardown of the three structural gaps that make most AI agents flaky and exactly how to close them in ten minutes.
May 23rdA 14-minute tutorial on the three tiers of self-running Claude Code workflows — and why the creator of Claude Code stopped prompting it manually.
June 12thA $40M founder demos the three AI agents his team actually built — content, chief of staff, and product manager — then hands you the one mental model that makes all three work.
June 8thEight copy-paste prompts and three startup ideas for the most powerful AI model yet — no benchmarks, just tactics.
June 11th