Accepting projects · ES · EN · LATAM

Is your AI agent production-ready — or just demo-ready?

We design, build, and ship production AI agents with review gates, scoped authority, and full traceability. No shortcuts, no vibes. For teams putting AI code where it matters.

Book a discovery call See case studies

ES · EN — Based in LATAM · 15+ years shipping software

01 · Ladder

Where are you starting?

Nobody arrives saying “I want an agent.” They arrive saying “I have this problem.” Find yourself in the phrase — each tier has a clear deliverable, duration, and price.

“I have an idea, no code yet.”

L0 Tribal → L1 Experimenting

Discovery Sprint — prioritized technical roadmap, build-vs-buy analysis, stack selection.

3–5 days
“I shipped something with Cursor or Bolt and I'm scared to deploy it.”

L1 Experimenting → L2 Legible

Vibe Check — code audit, security holes, architecture review, prioritized remediation plan.

1 week
“I need to ship an agent to production.”

L2 Legible → L3 Operating

Build & Ship — one production agent workflow, with WORKFLOW.md handoff.

2–6 weeks
“It's live and I need it to keep improving.”

L3 Operating → L5 Self-improving

Partnership — named principal, continuous optimization, capability expansion.

monthly

Start with a conversation

02 · Process

How we work — three phases, every project.

— Start small, move fast, scale what works.

01 Discover

Audit what already exists.

Diagnose the current state and surface the tribal knowledge that only lives in heads. No generic questionnaires — we come to understand your system.

02 Structure

Make the illegible legible.

Convert processes into schemas, validation rules, and canonical data models. The first deliverable is almost always a diffable artifact.

03 Ship

Deliver with review gates.

Production AI systems with traceability, scoped authority, and simulation-before-execute. No security shortcuts.

03 · Cases

Two portfolio pieces you can audit line by line.

No client logos we can't name. Real code, commit history, changelogs. The evidence lives in the repo.

OSS · MIT · v0.4.0

orch-agents

Agent orchestration infrastructure for GitHub repos and Linear boards.

Problema: Tribal agent routing — nobody can explain why each was chosen.
Solución: WORKFLOW.md as the single source of truth — diffable, versioned.

Leer caso

Production · BUSL · v0.2.0

tapioca.money

Autonomous DeFi yield optimizer with an AI agent on Base.

Problema: An agent with access to money — blast radius never drawn.
Solución: Scoped per-token session keys + simulation-before-execute.

Leer caso

04 · Evidence

The numbers that matter to us.

Not impressions per month or “happy clients”. Delivery metrics, auditable.

Weeks

Average time from kickoff to first production deploy.

18+

Agents

Agent definitions shipped in orch-agents — auditable in the repo.

In production

Live systems with open source code and public commit history.

15+

Years shipping

I didn't learn AI this month. I've been shipping software for 15+ years.

05 · Artifact

Tribal → legible, in one file.

This is the actual WORKFLOW.md that runs orch-agents. All the agent routing that used to live in one head now lives in a commit.

WORKFLOW.md

templates:
  tdd-workflow:   [coder, tester]
  feature-build:  [architect, coder, reviewer]
  security-audit: [security-architect]

github:
  events:
    pull_request.opened:  github-ops
    issues.labeled.bug:   tdd-workflow
    workflow_run.failure: quick-fix

agents:
  routing:
    bug:      tdd-workflow
    feature:  feature-build
    security: security-audit
    default:  quick-fix

Real excerpt from the repository. Full version at github.com/be-automata/orch-agents.

06 · Differentiators

What makes me different.

01 / 03

Framework-agnostic

We don't sell you our platform. For each project we pick the stack that serves the level you're at — and we explain why before writing a line. We serve the problem, not the framework.

02 / 03

Security from the first commit

Scoped authority, simulation-before-execute, review gates. Not a checklist at the end — the architecture from day one.

03 / 03

Legibility before magic

The bottleneck is rarely the model. It's that your organization can't describe its own work in a form the machine can follow. Our first deliverable is almost always a diffable artifact.

07 · Contact

Let's talk about your project.

01 Book a call

30 minutes. we assess your use case and give you a realistic timeline and architecture.

02 Technical proposal

Within 5 days of the call. Architecture, phases, costs, stack chosen and why.

03 We start

First deploy in under 4 weeks from kickoff.

Book a discovery call See the full process

No pitch, no commitment. If we're not the match, we'll tell you who is.