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Price: €15 • Format: Framework field guide • Status: Included with Member Hub subscription
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A relationship and discipline framework for working with AI.
Most AI adoption starts with the flashy stuff: agents, automations, integrations. csAIi argues for more structured thinking about the AI stack for knowledge workers.
Without context, your agents don't know who they're helping. Without skills, your agents reinvent solutions every session. The five layers have a build order, and skipping it is why most AI initiatives produce impressive demos but limited daily value.
| Old Approach | New Approach |
|---|---|
| "How do I prompt better?" | "What friction can I systematize?" |
| Sessions that start fresh | Context that compounds |
| AI answers questions | AI executes workflows |
| Prompting as the skill | System design as the skill |
This guide teaches the new approach. It works with any AI that supports persistent configuration — Claude, ChatGPT, Gemini, local models, or whatever comes next.
csAIi is a relationship and discipline framework for working with AI technology. It's not about the technical architecture — it's about how people can structure and sustain the partnership between human expertise and AI capability.
csAIi stands for Context, Skills, Agents, Integration and Iteration.
| Layer | What It Is | The Principle |
|---|---|---|
| Context | Persistent configuration that teaches AI who you are | Compound interest of knowledge work |
| Skills | Reusable, documented procedures | If you can write it as a checklist, it's a skill |
| Agents | Specialised roles for domains requiring judgement | Agents are for what's left after you've solved everything simpler |
| Integration | External connections and automated loops | How your tools connect matters more than which tools you choose |
| Iteration | The feedback loop that makes everything compound | Without iteration, you build a tool. With it, you build a practice. |
The order matters. Each layer builds on the previous: