IntentusNet - Deterministic execution infrastructure for agent and distributed systems, enabling reproducible workflows, reliable intent routing, transport abstraction, and transparent operational control.

Dry-run intent router that connects AI agents to ranked x402 API endpoints.

Lightweight, auditable intent router for LiteLLM and OpenAI-compatible model gateways.

🧭 Demonstrate deterministic AI control flow in C# combining intent routing, strict guardrails, and safe local LLM use for reliable decision making

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

A collection of Generative AI experiments — CV Q&A chatbots, LLM-based intent routing, and streaming API integrations.

Unified cognitive infrastructure for routing between local and cloud LLM systems.

A simple conversational assistant for canceling a gym membership. Built from a FigJam conversation flow with simple routing, keyword extraction, and fallback handling.

~72 runnable engineering guides on agent runtimes, self-custody, and local-first systems — each with the problem, the design decisions, and a demo you can run.