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Hermes Agent: From Zero to Expert

A complete learning path for Hermes Agent — architecture, each component deep-dived from beginner to expert, and a working Telegram personal assistant bot with voice calls.

AI Skills and Tools by Phase

The AI execution stack mapped across the SDLC phases.

ToolCallCheck: Mock Your Tool Server and Assert on Trajectories

Mock MCP server that runs fully offline, records every tool call, and lets you assert on tool selection, argument correctness, call order, and structural invariants — no LLM call needed.

GitHub Copilot and customization instructions together unlocks a structured, repeatable way to guide AI assistance across your codebase—covering custom instructions, reusable prompt files, agent mode and extensible skills for end-to-end AI-driven workflows.

Model Context Protocol

Model Context Protocol - Notes, Best Practices, Design Patterns.

OpenAI Agent SDK

OpenAI Agents SDK Notes.

Testing LLM Outputs: Evals for Models, Agents, and Skills

LLM outputs are non-deterministic, which breaks the assumptions most of our testing tooling is built on. This document covers how to actually test model outputs, agent trajectories, and Claude Code-style skills — the layers of evaluation, the current 2026 tool landscape, and a working CI harness you can copy.