Module 1: Foundation — What Is All This?
You've heard the hype about AI agents and self-improving systems. This module cuts through the noise. We cover where AI actually stands right now, what Zo Computer is (a personal server with an AI living on it), and how Zouroboros ties five constructs into a self-improving loop. There's an honest comparison with alternatives, and a hands-on walkthrough where you set up your own Zo in 15 minutes. No code, no prerequisites — just curiosity and about an hour.
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Your AI Workspace
Module 2: Your AI Workspace Zo Computer is a full Linux server with an AI built in. This module walks you through it — files, terminal, browser, settings, channels. You'll set up rules so Zo remembers how you work, store API keys properly, and build your first scheduled automation: a daily briefing delivered to your inbox. By the end you'll have a workspace that actually works the way you think.
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Personas
Module 3: Personas Most people treat AI like one thing. Zo lets you run an entire team. Personas aren't prompts — they're roles with dedicated tools, memory, and model assignments. This module covers the persona library, walks you through creating your first custom persona, and shows how personas hand work off to each other mid-task. You'll build one for your own domain and post it for peer review.
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Memory
Module 4: Memory Stateless AI forgets everything between conversations. Zouroboros doesn't. The memory system runs three layers: SQLite for facts, vectors for semantic search, and a knowledge graph for relationships. This module covers storing, retrieving, and managing knowledge — including decay classes that control how long things stick. You'll wire up the memory gate, which decides when to inject context at zero API cost.
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Skills: Executable Knowledge
Module 5: Skills A skill is a packaged workflow — scripts, docs, assets, all bundled together and callable by name. This module covers using skills from the registry, building your own from scratch, and chaining multiple skills into composite workflows. You'll create a skill for a repetitive task in your own work and learn how the SKILL.md format turns loose scripts into reusable, shareable tools.
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Swarm Orchestration
Module 6: Swarm Orchestration One agent is useful. A coordinated team is something else. Swarm orchestration splits complex work into a DAG — directed graph of tasks that execute in parallel waves with dependency tracking. This module covers executor types, hivemind routing (the 6-signal algorithm that picks the right model for each task), and real-time monitoring. You'll design and run a 4-task swarm on a real project.
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Efficient Prompting with Spec-First Development
Module 7: Spec-First Development "Just build it" breaks down fast with AI. Ambiguity in specs produces ambiguity in output. This module teaches the full pipeline: Socratic interviews to surface what you actually want, seed YAML to lock it down, three-stage evaluation to verify the result. You'll also get the unstuck toolkit — five lateral-thinking personas for when you're blocked. Run the full cycle on a real feature.
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Self-Enhancement
Module 8: Self-Enhancement This is where the ouroboros loop closes. The system watches its own health across seven metrics, triggers remediation from fourteen playbooks, and improves itself — with a governor gate that keeps humans in the loop for anything risky. This module walks through the full introspect-prescribe-evolve cycle and autoloop for single-metric optimization. You'll run one cycle and document the before-and-after.
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More Coming Soon!
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