bil

Engineering the future of Web3. Smart contracts, dApps, automation, and open-source.

[bil @biljier]

@vstarbanks fuck you, you rugged me

[bil @biljier]

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[bil @biljier]

@tagsendy make me a sol wallet

[bil @biljier]

@Supermanonchain @lukebelmar sent your wallet to him bro

[bil @biljier]

@Supermanonchain im coming

[bil @biljier]

everyone is talking about agent loops, harnesses, and self-evolving agents.

but almost no one is talking about the actual hard part.

you can't run a company on one giant agent with every tool, every file, and zero accountability.

that's not autonomy.

that's a fog machine.

here's how we're building an Agent Company OS inside Matrix.

—

the stack

Workspace Brain
↓
Matrix Runtime
↓
Departments
↓
Department Leads
↓
Worker Agents
↓
Proof → Check-in → Memory
Matrix isn't a chatbot.
it's an operating system for autonomous work.
—
1. Workspace Brain
the Workspace Brain is the company boundary.
it's loaded with the things a real company actually operates on:
product docs
codebase context
chats, files, and goals
operating rules

previous runs and examples of great work

approvals

memory

reusable skills

this isn't just "context."

it's the company's shared operating layer.

it knows:
what the company knows
what it's trying to achieve
who owns what
what good work looks like
what must be proven before work counts as done
—
2. Matrix Runtime

above the Workspace Brain sits the Matrix Runtime.

it coordinates:

scheduled execution

event triggers
department messaging
OKR state
permissions
worker dispatch

proof tracking

memory updates

it keeps the company running.

—

3. Departments
work isn't organized into chat threads.
it's organized into departments.
each department is a long-running agent with:
identity
memory
goals
skills

history

tool boundaries

taste

accountability

examples:

• Founder Strategy
• Product Engineering
• Growth
• Operations
• Research

each department has a Lead Agent.
the Lead reads the relevant Memory Skill, decides what needs to happen, breaks work into scoped tasks, and chooses the best execution seat.
—
4. Workers
sometimes that seat is:
a native Matrix worker
Codex
Claude Code

a browser automation worker

a computer automation worker
the goal isn't one model that does everything.
the goal is:
→ the right agent
→ with the right context
→ inside the right boundary
→ using the right tools
→ with a clear definition of done
—

5. Scoped workers

this is why scoped workers matter.

a "do everything" agent becomes vague.

but:

a release worker with repo context, tests, and approval gates → excellent

a Codex worker scoped to one patch and one validation path → excellent
a Claude Code worker focused on deep repository analysis → excellent
a browser worker with one workflow and one proof requirement → excellent
narrow scope reduces drift.
Memory Skills keep narrow agents from going blind.

proof prevents fast output from pretending to be progress.

—

6. The operating loop
every task follows the same cycle.
Workspace Brain
↓
Department Lead

↓

Worker

↓

Artifact

↓

Proof
↓
Check-in
↓

Memory Skill Update

every completed loop makes the company smarter.

that's the real form of self-evolution.

not a single agent endlessly rewriting its own prompt—

but an organization compounding knowledge through proof.

—

7. Workspace isolation

each workspace is its own company.

its own:

brain

departments

memory

workers

proof ledger

workspaces can communicate when needed.

but context doesn't bleed across them by default.

isolation isn't a limitation.

it's what makes autonomous organizations actually manageable.

—

8. Reusable operating systems

once a department pattern works, you don't clone the raw context.

you fork the operating pattern.

then customize:

memory

examples

approval gates

tools

voice
definition of done
you're not starting from zero.
for many workflows, you already have 70% of the operating system built.
—

what changes?

small teams of exceptional operators can now run work that once required entire departments.

but only if the agents are actually good.

good agents don't come from adding more tools.

they come from:

high-quality source material

taste

iteration

narrow scope

workflow design
proof
memory
human judgment
vague agents simply produce vague work faster.
Matrix is our attempt to build the opposite.

an Agent Company OS where autonomous work has:

structure

ownership

memory

accountability

proof

because the loop isn't just how the system works.

the loop is the product.

[bil @biljier]

@ABRockNJock18 @Chicago_History Bruce Roberts on weekends

[bil @biljier]

@Chicago_History

[bil @biljier]

@Heidiaca

[bil @biljier]

@tom_papp11 Hard to say. JJ apparently was on his honeymoon and Kyler was dinged up. Remember, these are voluntary workouts

[bil @biljier]

@tom_papp11 @JAYChi_Bears @BradBiggs It’s unlikely the Bears will find a taker for TJ

[bil @biljier]

@EdgeRunner737 Reports are that Will’s is fully healthy. There are reports that Braxton is healthy and been bulking up. I agree on Theo .
Kiran is a super long shot

[bil @biljier]

@BearsCork You are a great person

[bil @biljier]

@Briansredwagon I agree with everything you wrote. Even the grammatical errors.

[bil @biljier]

@The_Bear_Review Duv had a rough start to last season

[bil @biljier]

@DaveKerner @North2North @CBS @NorthwesternU I don’t think that’s accurate

https://t.co/eQe6I2CjF2

[bil @biljier]

@kingshmegland @North2North @RonaldR65190282 @CBS @NorthwesternU Joseph is right, Mike
When Johnny was doing his show, there were very limited options to watch anything else
Today there’s literally thousands of more options

[bil @biljier]

@BillGuilfoil When you say the work. You mean the study?

[bil @biljier]

@BillGuilfoil Lawmakers say PILOT and future state funding for infrastructure are tied together. My research confirms that's generally the case when private entities ask for substantial assistance from taxpayers.