Pymut

Ecosystem where AI Outliers co-create frontier AI that competes globally

[Joel Timana @joevidev]

Today, for the first time,
@dianamunozlar and I are introducing @buivoai 🔥.

AI gave every role a faster way to work alone.
Business prompts. Product prompts. Engineering prompts.
Going in different directions.

The problem was never the LLMs.
It was the interface.
So we built it.

The oldest human expression now ships software.

The waitlist is open:
https://t.co/UKASApBasg

[Joel Timana @joevidev]

Introducing ReactLines.
Atomic Procedural Memory Units
for cognitive agents.

The problem
Agent behavior lives in giant prompts.
Instructions collide, drift, and conflict.
They can't be scoped or reused.

A formal 11-field schema
for behavioral policies
who does what, when, why,
and under what constraints.

Six scopes, from narrow to global:
TURN → SESSION → FLOW →
AGENT → ORG → GLOBAL.
Broader scopes subsume narrower ones.

A 5-stage retrieval protocol
injects only the relevant rules,
recovering 95% of them at top-3.

Built for scale:
add more rules without growing your prompt.
At 100 rules, 97% fewer tokens
than a monolithic prompt

Deployed in real-world production environments
Research designed and executed for large-scale orchestrations.

PS: Useful resources and links in the first comment

[Joel Timana @joevidev]

Introducing HyMoEx.

Hybrid Modular Coordinated Experts
an architectural paradigm for scalable multi-agent systems
and expert coordination.

The problem:
Multi-agent systems work with 2 or 3 agents.
At 5, 10, 20, 50 or more; flat architectures break under
quadratic communication complexity.

A formal 7-role agent taxonomy
with typed message protocols.

Three deployment modalities
M1, M2, M3 with a subsumption theorem proving
M1 ⊂ M2 ⊂ M3. Migration preserves 100%
of existing agent definitions.

Mixture-of-Experts gating adapted
from neural networks to discrete agents.

96.7% expert selection accuracy.
93% token reduction from 5 agents onward.

Framework-agnostic by design.
Bidirectional adapters included.

Deployed in real-world production environments
across sectors such as developer-tools, fintech, hr, sales, deep-tech

Research designed and executed for large-scale orchestrations.

Pymut Labs
@PymutAI

PS: Useful resources and links in the first comment

[Pymut @PymutAI]

Hi 👀 👋🏻

[Joel Timana @joevidev]

Introducing Pymut

What if the next breakthrough in AI
doesn't come from a single lab
but from a collective of outliers building together?

That's @PymutAI
The ecosystem where AI Outliers co-create frontier AI
that competes globally.

We don't supervise.
We co-execute.
We don't separate research from shipping.
We fuse them.

Three verticals. One loop:
- Run, discover the outliers
- Origin, form the collective
- Habitat, R&D lab + co-living

We don't wait for the future.
We research it
We code it
We ship it
Until it exists.

Searching for other outliers

https://t.co/5yzbbbUPIY