One folder of plain text on my machine runs my whole life and business.
CRM, projects, journal, research, all of it. Claude reads the folder and works inside it.
No app subscriptions. No cloud. No context lost between sessions.
Here is everything in the walkthrough, in one thread.
@ClaudeDevs Good to see Claude starting to natively implement verification feedback loops.
Something I’ve had running for a year now, and all based on a local folder structure.
https://t.co/xDkorJU6u3
Most AI setups are one assistant trying to do every job. I run a team of specialists instead.
I talk to one orchestrator, Larry. I never talk to the rest. I hand him a request, he picks the right specialist, hands off the work, a QA pass verifies it, then he brings the result back to me.
Anthropic just published this same shape as their native Opus 4.8 dynamic workflow. I have run it on plain folders for months.
Good to see Claude starting to natively implement verification feedback loops.
Something I’ve had running for a year now, all based on a local folder structure 👇
https://t.co/xDkorJU6u3
How do you get Claude Code to check its own work before handing it back?
Watch how you can encode your manual checks so Claude closes its own feedback loop:
@itsolelehmann I switched off Auto Memory in Claude because using persistent memory within just one local folder is much more reliable and token-efficient. This worked long before Anthropic released any memory-related updates, and it still outperforms them.
https://t.co/K6T2ibU71b
In the video I run a live test. Same prompt, same model. One run inside my folder, one inside an empty one.
The empty folder does generic web research and hands back a generic infographic and a flat post.
My folder routes through the team, asks scoping questions, pulls from my own knowledge, and matches my brand and my voice. Same model. The folder is the difference.
I show all of it on screen in the full walkthrough. The real folder, the empty-folder comparison, the team running in parallel, and how the whole thing backs up to a single drive with no cloud bill.
If you want the structure, it is free. Watch the walkthrough first:
https://t.co/20Fz4BTT1o
One folder of plain text on my machine runs my whole life and business.
CRM, projects, journal, research, all of it. Claude reads the folder and works inside it.
No app subscriptions. No cloud. No context lost between sessions.
Here is everything in the walkthrough, in one thread.
In the video I run a live test. Same prompt, same model. One run inside my folder, one inside an empty one.
The empty folder does generic web research and hands back a generic infographic and a flat post.
My folder routes through the team, asks scoping questions, pulls from my own knowledge, and matches my brand and my voice. Same model. The folder is the difference.
@claudeai What about all the tokens wasted when my multiple instances tried to run, got blocked by overload messages, and had to catch up with API interruptions?
I'm working on "sovereign AI" productivity - my mentor is @TomSolidPM - Tom has released a GitHub file explaining his process to organize data and setup an AI agent team in a way that is AI agnostic
if you are a sovereign individual - check out Tom's approach
https://t.co/XJUZ9lTK56
Larry routes.
Nolan hires.
Pax researches.
Penn writes the journal.
Four-person AI team. One folder on my disk. Continuous memory across Claude, ChatGPT, anything.
34 min walkthrough: https://t.co/nkoZ81sRvO