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fscfede-beep/README.md

Sebastián Federico

Founder, RUMBO IA · AI Systems & Agent Reliability · Applied AI · Automation

I build operational AI systems and public engineering evidence around authority, execution, readback, recovery and verification.

Company · RUMBO IA on GitHub · YouTube · X / @RumboAGI


Operating model

INTENT → AUTHORITY → PREFLIGHT → EXECUTION → READBACK → FALSIFICATION → CLOSURE
Capability ≠ Authorization ≠ Execution ≠ Verified Outcome

What I build

  • AI agents with explicit authority, execution, readback and verification boundaries.
  • Operational AI systems for real business workflows.
  • Automation interfaces for customer service, lead handling, internal knowledge and process execution.
  • Dashboards and control planes for observable, auditable AI operations.
  • Developer tooling and reliability infrastructure for long-running, consequential agent workflows.

Public work

Verifiable Agent Control Plane

github.com/fscfede-beep/verifiable-agent-control-plane

A public Python reference implementation for fail-closed agent execution with exact-state binding, deterministic revalidation, effect readback, replay prevention and hash-bound receipts.

RUMBO IA

github.com/RUMBO-IA/Rumbo

Public product, brand, agent-reliability and evidence artifacts for RUMBO IA.

RUMBO Guardian

github.com/RUMBO-IA/rumbo-guardian

Privacy-first security intelligence and defensive assurance with explainable evidence.

RUMBO Control Queue

github.com/RUMBO-IA/rumbo-control-queue

Governance and control infrastructure for repository state, evidence, execution boundaries and merge gates.

Current focus

  • agent harnesses and long-running execution;
  • sandboxing, isolation and resource bounds;
  • MCP, plugins, connectors and tool routing;
  • async lifecycle and cancellation safety;
  • permission and policy boundaries;
  • deterministic evals and regression testing;
  • canonical-state recovery and effect verification;
  • production-oriented AI automation;
  • public technical communication and open engineering artifacts.

RUMBO IA direction

Operational AI Systems

  • Revenue Recovery
  • Agent Reliability
  • Guardian

Company identity and founder identity remain separate. Legacy social handles are addresses, not alternate company names.

Claim boundary

Public issues, contributions and reviews do not imply employment, affiliation, endorsement or maintainer status by OpenAI or any other upstream project unless explicitly stated by that project.

Evidence over hype.

Pinned Loading

  1. verifiable-agent-control-plane verifiable-agent-control-plane Public

    Installable, runtime-dependency-free Python reference for fail-closed agent execution, deterministic revalidation, effect readback, replay prevention, and hash-bound receipts.

    Python 1

  2. RUMBO-IA/Rumbo RUMBO-IA/Rumbo Public

    Human-controlled AI CRM and workflow automation for small businesses in Latin America, with public privacy and verification gates.

    Python 2

  3. vae-bindings vae-bindings Public

    Public, privacy-preserving commitments and GitHub attestations for verifiable agent work-unit bindings.

    Python 1

  4. codex codex Public

    Forked from openai/codex

    Experimental fork of openai/codex for agent reliability and tool-output policy boundary analysis.

    Rust 1