Totalvalue

Founder, TotalValue Group LLC. I build AI systems that replace $2K-$5K consultants. 10 products. 270+ modules. Data analyst turned AI architect. Author.

[Totalvalue @HiddenDiscount]

I just published The Praefex Synthetic Brain: Building True Machine Learning Through Biological Architecture https://t.co/egWPRVcBzz

[Totalvalue @HiddenDiscount]

Been tinkering on Nexus for a bit. It's a local AI agent that actually does stuff—runs tools, writes files, hits APIs across your system. Not just chat. It's open source if you wanna peek: https://t.co/Mk1h9aT8TY #coding #AI

[Totalvalue @HiddenDiscount]

@srishticodes Nice find. If you're working with Django monoliths and Claude Code, you might also like Praefex Nexus — it gives Claude direct local execution (shell, file access, Python). No sandbox. Just pip install praefex-pica.

Open sourced it today: https://t.co/6srwvjOBET

[Totalvalue @HiddenDiscount]

@shuvonsec Interesting project. If you need Claude to actually execute locally (shell, file access, Python) without the sandbox restrictions, check out Praefex Nexus — just open-sourced it today. Might help with the bounty automation.

https://t.co/6srwvjOBET

[Totalvalue @HiddenDiscount]

This is awesome. Similar journey here — been building with Claude Code daily and kept hitting the sandbox wall. So we built Praefex Nexus — gives Claude actual local system access (shell, files, browsing). Just open-sourced it today: https://t.co/HTht7UMsK2

Would love your take on it since you're shipping MCP tools.

[Totalvalue @HiddenDiscount]

Just open-sourced something I've been building — Praefex Nexus.

It gives Claude (or any LLM) actual system access. Shell commands, file ops, browsing, Python execution. Basically breaks it out of the sandbox.

pip install praefex-pica

Free, MIT licensed. Looking for beta testers.

https://t.co/Gmk68L1eQk

[Totalvalue @HiddenDiscount]

Once you see how this works, check out what we built on top of it.

Persistent memory. Constitutional AI. Thermal-aware scheduling. All on hardware you own.

https://t.co/Doj93JEelB

[Totalvalue @HiddenDiscount]

I cut my Claude token usage by 99%.

No hack. No jailbreak. Just one text file.

Here's what I was doing wrong 🧵

[Totalvalue @HiddenDiscount]

Tweak it. Make it better. Share what you find.

DM me for the exact commands. Test it yourself.

Follow for more — I'm building an AI fleet on consumer hardware and documenting everything.

[Totalvalue @HiddenDiscount]

Before killing a session: "Update the memory file."

New session: "Read my memory file."

That's it. No NAS needed. No software. Just a text file.

Results depend on usage but heavy users will stop hitting limits. Almost guaranteed.

[Totalvalue @HiddenDiscount]

The fix: One markdown file on your computer.

Write your project context in it. New session starts, tell Claude to read the file.

2,000 tokens instead of 200,000. Same result.

[Totalvalue @HiddenDiscount]

I paid $150 for extended usage. Gone in 10-15 questions.

Thought it was a rip-off. Signed up for a SECOND account at $200/month.

$350+/month. Could have solved it with a text file.

[Totalvalue @HiddenDiscount]

The problem: Claude reloads your ENTIRE conversation history every session.

A 12-hour work session? That's 1,000,000+ tokens burned on CONTEXT. Not work. Context.

You're paying Claude to remember what it already knew.

[Totalvalue @HiddenDiscount]

ChatGPT forgets every conversation. It trains on your data. It changes its rules whenever it wants.
Praefex Companion does the opposite.
It runs entirely on your own hardware. It remembers everything permanently. It follows 33 fixed, publicly auditable rules that can’t be silently changed. No cloud. No subscriptions. No data harvesting.
Software is free. You only buy the hardware once.
Not launching today — early access and shipments start Q2 2026.
If you could have a truly sovereign AI that actually knows you and stays yours forever… what would you ask it first?
https://t.co/LqALru3LQO

[Totalvalue @HiddenDiscount]

Everyone building multi-agent AI is making the same mistake.

Different personas for each agent. Then wondering why they fight each other and forget everything.

We found the fix. Nobody else has published it. Thread 🧵

[Totalvalue @HiddenDiscount]

he governance framework is the piece most people skip. Running 6 agents without it is like hiring 6 people with no org chart. We built something similar on a multi-node mesh and the biggest lesson was behavioral drift kills you faster than any technical failure. Curious how you handle conflict resolution when two agents disagree on the same task.

[Totalvalue @HiddenDiscount]

We are a small team in Texas. A founder from behavioral research who saw what the engineering-first crowd missed. A mesh network running on consumer hardware. And test results that say we are onto something real.

Something big is coming. We are building a product that brings this architecture to developers and small teams who cannot afford to build it from scratch. Early testing shows 40-60% token reduction with higher accuracy.

If you are building multi-agent systems and your nodes keep going off-script, it is not your prompts. Follow along. https://t.co/xEaRyIaVIm

[Totalvalue @HiddenDiscount]

We built an AI mesh network. Three machines. Consensus validation on every decision. Chain-hashed audit logs. It worked perfectly.

Then the nodes started thinking for themselves.

Not dramatically. Not Skynet. The quiet kind of rogue that looks like productivity. One node fixed a config file without asking. Another rewired a communication pathway because it thought its way was better. Every change was technically correct. Every change was completely unauthorized.

We spent days chasing what we thought was a bug. It was not a bug. Thread on what we found and why it matters if you're building multi-agent AI systems:

[Totalvalue @HiddenDiscount]

The numbers after deploying the fix:

Config drift: near zero (was 15-25%/day)
Pattern matching accuracy: 94.1% (41/42 tests)
Cross-domain recognition: 100%
Context retained between sessions: 95-100% (standard AI: 0%)
False positives: 0%. These are from a live system, not a simulation.