AI Education for operators who ship
Original BrainyxAI tracks plus curated Anthropic Academy catalog links. Full lesson pages render in the app; this snapshot lists the catalog for crawlers.
Claude Operator Track
From first chat to agents, Claude Code, APIs, and MCP — taught for people who ship systems.
- Meet Claude — capabilities, limits, access — Treat Claude as a strong generalist teammate with no lived context until you give it some.
- Briefs, prompts, and the iteration loop — Great outputs come from clear jobs, constraints, and ruthless iteration — not magic words.
- Projects, memory, and durable context — Stop re-explaining your company every chat — put standing instructions where Claude can reuse them.
- Chat vs Cowork — when files are in the loop — Chat thinks with you; Cowork-style modes work against a folder and connectors with permissions.
- Claude Code — agentic coding without chaos — Plan, steer, verify — then let the agent loop touch the repo under your rules.
- Claude Developer Platform & your first API call — Move from ‘ask Claude’ to ‘Claude is a component in software you own’.
- Agents, tools, and MCP — An agent is a loop with tools — MCP is how you plug in external capabilities cleanly.
- Large knowledge — RAG vs stuffing the prompt — When docs don’t fit, retrieve the right chunks — don’t drown the model in PDFs.
- AI fluency, values, and what you own — Close the loop: intentions, principles, boundaries — then decide what to productize.
Hermes Agent Operator Track
From install to always-on messaging agents — taught for builders who ship.
- What Hermes Agent actually is — An autonomous, self-improving agent — not an IDE plugin wrapped around one API.
- Install, setup, and verify a chat — Desktop installer or one-liner CLI — then hermes setup --portal and a real response.
- Your ~/.hermes home and config.yaml — All settings live under ~/.hermes/ — learn the map before you edit YAML by hand.
- CLI, TUI, and daily operating rhythm — Master the terminal interface you’ll use every day before you expose a public bot.
- Tools, toolsets, and terminal backends — Tools are functions the agent can call — toolsets and backends decide how powerful (and risky) that is.
- Skills system and persistent memory — Procedural skills + durable memory are Hermes’ closed learning loop — learn to steer them.
- Messaging gateway — put Hermes where you live — One gateway process: Telegram, Discord, Slack, WhatsApp, Feishu, Teams, and more.
- MCP integrations — borrow tools you already have — Connect stdio or HTTP MCP servers so Hermes can use GitHub, filesystems, DBs, and internal APIs.
- Security layers and architecture map — Defense-in-depth before public bots — then a mental map of entry points and subsystems.
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