AI Native Builder

Cohort 1

August 8 - Sept 12, 2026

Choosing between Hermes and OpenClaw shouldn't feel like a coin flip. This technical field guide breaks down both stacks side-by-side architecture diagrams, security models, extensibility patterns, performance characteristics, and the real-world trade-offs nobody documents until production. Includes five hands-on tutorials, annotated comparison tables, and an opinionated decision framework so you can pick the right system with confidence. Built for engineers, architects, and technical leads who need clarity, not marketing copy.

Hermes vs OpenClaw: The Field Guide to Two Architectures, Two Philosophies, and the Trade-offs Behind Every Autonomous Agent Stack

Build real AI products, agents, plugins, skills, tools, and workflows with AI tools such as Claude, Cursor, MCP, OpenClaw, and Lovable

Founder. AI-Native Builder. Investor

Stanford University

Microsoft

Coinbase

Intuit

Namrata Ganatra

Founder of an AI Startup. Built successful products at Meta, Coinbase, Intuit

PhD Computer Science. Data and AI Expert

University of Massachusetts

Procter & Gamble

Data Science 4 Everyone

Allison Poh

PhD in Computer Science. Data and AI Expert

<h2>Become the AI-native builder every modern team needs</h2><ul><li>AI is becoming the operating layer for software engineering, product development, data work, customer operations, and startup creation. But most professionals still use AI like a chatbot.</li><li>The highest-leverage builders use AI as a system: context, tools, workflows, agents, memory, testing, and secure execution.</li><li>The next generation of career defining roles will belong to people who can turn ambiguous business problems into working AI systems quickly and reliably.</li><li>This hands-on bootcamp is designed to build that practical fluency.</li><li>Over 6 weeks, students will build, debug, secure, and ship real AI applications, agents, and workflows using modern tools like Claude, Cursor, MCP, OpenClaw, Lovable and many other AI tools and frameworks.</li></ul>

AI-Native Builder Bootcamp: Build Real AI Products, Agents, Workflows in 6 Weeks

AI-Native Building Foundations

Use MCP to Connect AI to Tools

Build AI Agents & Workflows with Claude Code, Cursor & AI Frameworks

Debug & Secure AI Systems

Build Local-First Assistants & Workflows with OpenClaw

Create Claude Code Skills, Tools, Plugins & Agents

Working professionals in tech - Product Managers, Designers, Operators who want to become meaningfully AI-native, not just AI-aware.

Experienced and entry-level engineers who want to land roles such as:Forward Deployed EngineerAI-native engineerApplied AI engineer

Founders and startup builders who want to ship products, automate workflows, and quickly evaluate new product ideas.

Hermes vs OpenClaw: a 28-page field guide comparing both stacks with architecture, tradeoffs, and hands-on tutorials.

Hermes Vs OpenClaw : Open Source Agent Builders and Runtimes Technical Guide

Hermes vs OpenClaw: The Field Guide to Two Architectures, Two Philosophies, and the Trade-offs Behin

Learn to build autonomous AI loops that run, verify, and ship work without you prompting every step.

Learn directly from AI Native Builder

AI Native Builder

Courses

Becoming an AI-Native Builder in 6 Weeks

Resources

Hermes Vs OpenClaw : Open Source Agent Builders and Runtimes Technical Guide

Hermes vs OpenClaw: The Field Guide to Two Architectures, Two Philosophies, and the Trade-offs Behin

Loop Engineering: Design Systems That Prompt AI Agents