⚡ AI Native Camp - Web3 Edition - Miami

​A 1-Day Hands-On Intensive in AI Pair Programming, Agent Cloud Development + AX Optimization

​AI Native Camp is a fast-paced, immersive workshop where engineers, founders, and vibe coders learn how to build software the AI-native way — and deploy autonomous agents that can provision infrastructure, execute tasks, and pay for their own usage.

​But more importantly — you’ll learn how to build systems that AI agents can actually use, discover, and operate within.

​This is not a lecture.
This is not theory.

​This is live building, live pairing, and real shipping.

​🤖 What Is AI-Native + AX-Optimized Development?

​AI-native development means building systems with AI as a collaborator.

​AX (Agent Experience) optimization means building systems that AI agents can:

• ​Discover

• ​Understand

• ​Navigate

• ​Execute within autonomously

​AX is the next evolution beyond UX and DX — it ensures your product works not just for humans, but for AI agents acting on behalf of users (Agent Experience)

​In this camp, you’ll learn to:

• ​Design systems with AI as a collaborator

• ​Structure prompts like architecture

• ​Treat LLMs as pair programmers

• ​Build agent-first products (not just user-first)

• ​Deploy autonomous agents with memory + payments

• ​Optimize your product for agent discoverability + execution (AX)

• ​Validate before overbuilding

​You won’t just “use AI.”
You’ll learn how to engineer systems that AI agents can operate end-to-end.

​⚡ What Is AX Optimization (Agent Experience)?

​AX = how AI agents interpret, navigate, and interact with your product (higoodie)

​If your product is not AX-optimized:

• ​Agents fail tasks

• ​They waste tokens + cost

• ​They can’t discover your product

• ​They don’t choose your APIs

​If your product is AX-optimized:

• ​Agents complete tasks in one run

• ​They autonomously integrate your APIs

• ​They choose your product over competitors

• ​You win in the agent-driven internet

​🔍 You’ll Learn AX Optimization Including:

​Agent Discoverability (AX SEO)

• ​llms.txt + AI crawler directives

• ​.well-known/ai-plugin.json

• ​Structured data for agent parsing

• ​Agent-first metadata + schema

​Machine-Readable Interfaces

• ​Clean APIs + OpenAPI specs

• ​MCP-compatible tool endpoints

• ​Structured JSON responses (not UI-dependent flows)

​Agent-Friendly Product Design

• ​No “book a demo” dead-ends

• ​Instant onboarding for agents (milliseconds, not humans waiting days) (Resend)

• ​Deterministic workflows agents can execute

​Agent Context + Memory

• ​Persistent memory (ZeroMemory)

• ​Context replay + state handling

• ​Multi-step reasoning flows

​Agent Autonomy + Execution

• ​Clear tool permissions + scopes

• ​Reliable action pathways

• ​Error handling + recovery paths

​AX Audit + Optimization Framework

• ​Run an AX audit on your product

• ​Identify agent friction points

• ​Optimize for agent adoption + usage

​👉 Tool: https://ainative.studio/ax-audit

​⏱️ Full-Day Schedule

​🟢 9:00 – 10:00 AM — Intros + Idea Pitches

• ​Intros + rapid-fire ideas

• ​Team formation

• ​Define your “How Might We” (HMW)

​🟡 10:00 AM – 12:00 PM — Validation Sprint

​Validate before building:

• ​Talk to real users

• ​Test assumptions

• ​Apply Lean + Sprint frameworks

​🟠 12:00 – 1:00 PM — Lunch Break

​🔵 1:00 – 2:00 PM — Agent Cloud + AX Foundations

​Learn how to build AI-native + AX-optimized systems:

​Agent Cloud Infrastructure

• ​Zero-human provisioning

• ​ZeroMemory (agent cognition layer)

• ​ZeroDB (data + vectors + storage)

• ​Agent402 (USDC micropayments)

• ​OpenClaw multi-agent orchestration

• ​MCP tool ecosystem

​AX Layer (Critical)

• ​Agent discovery + indexing

• ​Machine-readable APIs

• ​Agent-first system design

• ​AX audit methodology

​🔴 2:00 – 4:00 PM — Build Sprint (AI + AX)

​Now you ship — with AX baked in:

• ​Pair program with AI

• ​Create PRD + data model

• ​Deploy an agent (npx zerodb-cli init)

• ​Add memory + tools

• ​Optimize your product for AX

​Core principles:

• ​Structured prompts = architecture

• ​Deterministic agent workflows

• ​TDD + BDD

• ​Memory-driven systems

• ​Zero-human provisioning

• ​Agent-executable interfaces

​🟣 4:00 – 5:00 PM — Demo + Pitch

​Show:

• ​What you validated

• ​What you built

• ​Your working agent

​Bonus focus:
👉 Can an agent use your product without you? (AX test)

​🛠️ What You’ll Do

• ​Deploy an autonomous agent in <30 seconds

• ​Build an MVP with agent infrastructure

• ​Optimize your product for AI agents (AX)

• ​Run a real AX audit

• ​Move from idea → validation → working system

​🧩 Tools You’ll Use

​Agent Cloud Platform

• ​ZeroDB

• ​ZeroMemory

• ​Agent Cloud

• ​Agent402 (payments)

• ​OpenClaw

• ​MCP tools

​Development Stack

• ​AIKit + A2UI

• ​Claude Code

• ​AINative APIs

• ​Modern AI IDE workflows

​AX Optimization

• ​AX Audit Tool

• ​Agent discovery protocols

• ​Machine-readable schemas

• ​Agent execution flows

​👥 Who This Is For

• ​Engineers

• ​Founders

• ​Indie hackers

• ​Designers

• ​Vibe coders

• ​Non-technical builders using AI

• ​Anyone building products that agents need to use

​🎯 What You Leave With

• ​A deployed product or validated prototype

• ​A live autonomous agent

• ​An AX-optimized system

• ​A repeatable AI-native + AX workflow

• ​Access to the AINative ecosystem

• ​Free Agent Cloud tier

​⚡ Final Note

​We’re entering a new era:

• ​First SEO

• ​Then UX

• ​Then DX

• ​Now AX

​If AI agents are the new users —
is your product built for them?

​This is where you learn to build for that future.

​👉 Learn more: https://ainative.studio | https://ainative.studio/agent-cloud | https://ainative.studio/ai-kit | https://ainative.studio/products/zerodb | https://ainative.studio/ax-audit