New to AI-native work?
Start with Foundations
Follow the sequential lessons that teach the AI-native founder flywheel, workspace, and terminal workshop from first principles.
Curriculum and operating system for AI-native founders
Build your AI-native founder operating system.
Most founders use AI as a browser tab. AI-Native Founder teaches the tools, workflows, and agent systems behind modern company building — Claude Code, OpenClaw, agent teams, context engineering, image pipelines, and the operating rhythms that compound.
Most founders are AI-adjacent. The next wave is AI-native.
AI-adjacent founders collect tools, prompts, and browser tabs.
AI-native founders build operating systems: context, agents, workflows, memory, and shipping loops.
The difference is not one better model. It is how the whole company runs.
The method
Context → Plan → Build → Ship
Context
Your files, repos, docs, decisions, memory, prompts, and operating rules.
Plan
Agent-readable specs, workflows, review gates, and clear tasks before building.
Build
Claude Code, OpenClaw, agent teams, image pipelines, prototypes, and automations.
Ship
Published artifacts, feedback loops, revenue experiments, and operating reviews.
What you learn
The AI-native founder stack.
Not prompt tricks. The real operating layer: tools, agents, context, workflows, publishing systems, and shipping loops that compound across a company.
Claude Code Foundations
Terminal, Git, repos, CLAUDE.md, plan mode, and first deploys.
OpenClaw Operating System
Memory, browser automation, messaging, workflows, and local runtime orchestration.
Agent Teams
Executive agents, specialist agents, delegation, critique, synthesis, and approval gates.
Context Engineering
Markdown knowledge bases, project docs, decisions, reusable briefs, and source-of-truth design.
Content & Image Pipelines
Field-guide publishing, newsletter workflows, Fal.ai image generation, and review boards.
Founder Operating Rhythm
Daily briefs, weekly reviews, shipping cadence, revenue scoreboard, and PMF learning loops.
Start with a kit. Grow into a system.
Foundations starts with the first AI-native loop: context, plan, build, ship. From there, the curriculum expands into Claude Code, OpenClaw, agent teams, content/image pipelines, and founder operating rhythms.
Start here
Choose the path that matches where you are.
Building and need a system?
Use the Field Guide
Grab practical operating patterns, command-center structures, and workflows you can adapt immediately.
Want the operating layer?
Explore OpenClaw
See how we orchestrate agents, memory, Discord, tools, and local files into a real founder operating system.
Blog
Practical notes from the AI-native build floor.
· 8 min read
Christian Acuna — Terminal as Your AI Workshop
Learn five beginner-safe terminal commands and create your first local Founder OS workspace for Claude Code, Finder, and Zed.
· 11 min read
Christian Acuna — Stop Using AI in Scattered Chats. Build a Founder Command Center.
Scattered AI chats do not compound. Build a founder command center: one place for context, agents, review loops, decisions, and safe AI-native execution.
· 10 min read
Christian Acuna — Foundations: Set Up Your AI-Native Workspace
Set up your AI-native founder workspace on Mac: Ghostty, Homebrew, nvm, Node, Zed, Claude Code, and a first CLAUDE.md project folder.
· 7 min read
Christian Acuna — Foundations: The AI-Native Flywheel
The starting point for the Foundations path: how AI-native founders move from one-off prompting to a repeatable Context → Plan → Build → Ship operating loop.