I am an AI and Platform Engineer passionate about building developer tools founded on the principles of determinism, predictability, and engineering rigor.

Frustrated by the chaotic, non-deterministic nature of prompt engineering, I set out to replace this "dark art" with a true engineering discipline. This journey led me to create the FACET Ecosystem, a full-stack platform designed to make AI interactions as reliable and scalable as modern cloud infrastructure.

The ultimate validation of this approach came during a test of the system's "meta-agent" — an agent designed to create other agents. When the AI assistant lacked the necessary runtime to execute the task, it didn't fail. Instead, it read the declarative blueprint of the tool it was missing and synthesized its own interpreter from scratch to complete the mission.

This moment proved the core philosophy: when you provide AI with structure, it doesn't just become more reliable; it becomes more creative and capable.

My goal is to build the operating system for the future of AI. If this vision resonates with you, I invite you to explore the ecosystem, starting with the agents themselves.

• To see what's possible, start here: 🚀 FACET Agents Ecosystem
• To dive deep into the language, see: 👑 The FACET Language Specification

My work is centered around the FACET ecosystem, a full-stack solution designed to make AI interactions as rigorous, predictable, and scalable as modern cloud infrastructure. Each layer builds upon the last — from a deterministic language foundation to a global-scale AI orchestration engine.

$ facetctl diag --arch --wide
[12:07:53] INFO  loading FACET language ............. OK
[12:07:53] INFO  loading MCP runtime ................ OK
[12:07:54] INFO  connecting RMCP orchestrator ....... OK
[12:07:54] INFO  shared services: policy | artifacts | event-bus

+-----------------------+  +-----------------------+  +-----------------------+
|     FACET Language    |  |      FSSG Publisher   |  |   RMCP Orchestrator   |
+-----------------------+  +-----------------------+  +-----------------------+
| Deterministic grammar |  | Static site generator |  | 3-stage planner       |
| Pure lenses (|>)      |  | HTML/Markdown render  |  | FastAPI gateway       |
| Output contracts      |  | PyPI package ready   |  | Prometheus metrics    |
| Canonical JSON        |  | Direct HTML render   |  | Orchestrates agents   |
+-----------------------+  +-----------------------+  +-----------------------+

+-----------------------+  +-----------------------+  +-----------------------+
|      Policy Store     |  |   Artifact Registry   |  |     Event Bus / IO    |
+-----------------------+  +-----------------------+  +-----------------------+
| RBAC & approvals      |  | Prompts & lenses      |  | Topics & queueing     |
| Guard rules           |  | Contracts & schemas   |  | Tool events           |
| Audit logs            |  | Versioning            |  | Tracing spans         |
| Config mgmt           |  | Reusable modules      |  | Telemetry             |
+-----------------------+  +-----------------------+  +-----------------------+

tips:
  facetctl lint ./specs/app.facet
  facetctl run  ./specs/app.facet --input input.json
  fssg build -c site.config.json
  facetctl logs --follow
$

Each layer is a direct application of the core FACET philosophy:

The foundation and source code of the philosophy. A deterministic markup language for AI instructions, featuring first-class contracts and pure lenses.

The practical application layer. A comprehensive collection of specialized AI agents demonstrating FACET's power in real-world scenarios, featuring self-evolving orchestration and intelligent task decomposition.

The application layer. A high-performance, "Agent-First" execution engine that makes the power of FACET accessible to AI agents as a reliable tool.

The publishing layer. A deterministic static site generator that consumes FACET canonical JSON to production-grade websites, documentation, and artifacts. Ensures byte-for-byte identical builds with complete audit trails.

The scaling layer. An AI Operating System & Orchestration Engine that uses the principles of FACET to coordinate entire fleets of AI agents and tools at scale.

• AI & Machine Learning: AI Orchestration, Multi-Agent Systems, AI Agent Tooling, Prompt Engineering, Structured Data Extraction.

• Platform & Backend Engineering: High-Performance Computing (SIMD), API Design, Asynchronous Services, Distributed Systems, Systems Programming.

• Software Architecture: Clean Architecture, Protocol Design (MCP), Domain-Driven Design (DDD).

• Languages & Ecosystems:

  • Python: Expert-level, including performance tuning (Numba, NumPy) and packaging (PyPI).
  • Rust: Proficient, with a focus on high-performance, memory-safe systems programming.
  • JavaScript/TypeScript: Proficient, including Node.js and packaging (NPM).

• DevOps & Tooling: CI/CD (GitHub Actions), Docker, Test-Driven Development (TDD), Release Management.

• Email: ecsiar@gmail.com
• GitHub Discussions: Feel free to start a conversation on any of the project repositories.
• Contributing: I welcome contributions to my open-source projects. Check out the CONTRIBUTING.md files to get started.