Standalone Aionis Lite: local single-user runtime, SQLite-backed memory, replay, and playbook-driven automation for coding agents.

Open source software for machine learning production monitoring : maintain control over production models, detect bias, explain your results.

Production operations framework for AI-powered SaaS. The architectural patterns, failure modes, and operational playbooks that determine whether your AI systems scale profitably or fail expensively.

🚀 Build AI Agent Teams as Production-Ready APIs. Orchestrate CrewAI agents with FastAPI for enterprise-grade AI services. Leverage Groq's lightning-fast LLMs to deploy collaborative AI workflows at scale.

Production-ready agentic AI framework. High-performance, lightweight, simple. Built-in safety, memory, and 4 reasoning patterns. Ships to production fast.

Production-grade architecture patterns, decision frameworks, and best practices for building reliable AI agents. Framework-agnostic reference for engineers.

The world's first AI observability platform that doesn't just alert you- it fixes itself. Most tools stops at showing you the problem. ARGUS closes the loop autonomously. I built the self-healing AI ops platform that closes the loop monitoring tools never could. Production-grade LLM observability in 3 lines of Python. G-ARVIS scoring

Next-gen enterprise multi-agent AI framework for autonomous agent swarms with code-level control, military-grade efficiency, and hybrid intelligence.

40x faster AI inference: ONNX to TensorRT optimization with FP16/INT8 quantization, multi-GPU support, and deployment

Production-grade RAG on Azure with Node.js - covers Bicep IaC, event-driven ingestion, LangGraph agents, CosmosDB memory, hybrid vector search, Managed Identity security, and full observability. The next step after rag-from-scratch.

Real-world patterns for shipping AI agents to production. Learn versioning, cost optimization, multi-tenancy, guardrails, and observability through runnable TypeScript examples.

Production-Ready AI Systems • Enterprise Architecture • Azure & Beyond

Production-grade AgentOps control plane for safe AI agent execution. Dual-plane architecture: Rust governance engine + Python LLM runtime + Next.js dashboard. Deny-by-default policies, budget enforcement, approval gates & audit logging.

Central hub for Enterprise AI Architecture: 55+ production-ready repos, consulting toolkits, Azure solutions & Three-Layer AI Framework

Spec-driven, markdown-only control plane for AI-assisted coding with explicit agent boundaries and human approval gates.

Production-ready enterprise AI framework with three-layer architecture: UX Automation → Data Intelligence → Strategic Intelligence

Production-ready Agentic AI Data Pipeline built with LangGraph for cleaning and segmentation. Bridging the gap between RAG and Deterministic AI Architecture for Enterprise Data Engineering.

An educational example showing how to build a guardrailed, tool-augmented AI assistant in C# (.NET 10) using Ollama, with deterministic validation, tool constraints, timeouts, and safe fallbacks.

Enterprise AI Agent Orchestration for Java/Spring Boot. Sequential, parallel & conversational flows with Apache Camel integration.

Governance-first execution framework for multi-agent AI systems.

A local-first C# reference for intent routing with deterministic guardrails and constrained LLM usage.

ModelSpec is an open, declarative specification for describing how AI models especially LLMs are deployed, served, and operated in production. It captures execution, serving, and orchestration intent to enable validation, reasoning, and automation across modern AI infrastructure.

Professional AI consultancy toolkit with case studies, templates, and reference implementations

RFC analysis agent with empirical validation. Compares custom API tools vs WebSearch-only. Real-world testing proved custom tools produce superior structured output. Model-agnostic MCP server works with Claude, GPT-4, DeepSeek, Gemini.

Universal autonomous agent framework with ReAct loop, multi-provider LLM routing, reasoning graph, and MCP integration, domain-agnostic for building specialized AI agents.

🤖 Build a guardrailed, tool-augmented AI assistant in C# with deterministic boundaries for safe, reliable outputs and local chat capabilities.

Production AI development environment: 24 skills, 26 hooks, 11 agents, 7 MCP servers — orchestrating Claude Code for complex software engineering workflows

Heike — The deterministic runtime for reliable AI agents. No more prompt roulette. 侍

Gerador LLM de lançamentos contábeis no layout Domínio Web ERP com conformidade aos CPCs e anti-alucinação tolerância zero

Production-ready multi-agent system for financial risk & compliance auditing with 250+ regression tests