⚡ 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:

DiscoverUnderstandNavigateExecute 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 collaboratorStructure prompts like architectureTreat LLMs as pair programmersBuild agent-first products (not just user-first)Deploy autonomous agents with memory + paymentsOptimize 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 tasksThey waste tokens + costThey can’t discover your productThey don’t choose your APIs

If your product is AX-optimized:

Agents complete tasks in one runThey autonomously integrate your APIsThey choose your product over competitorsYou 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.jsonStructured data for agent parsingAgent-first metadata + schema

Machine-Readable Interfaces

Clean APIs + OpenAPI specsMCP-compatible tool endpointsStructured JSON responses (not UI-dependent flows)

Agent-Friendly Product Design

No “book a demo” dead-endsInstant onboarding for agents (milliseconds, not humans waiting days) (Resend)Deterministic workflows agents can execute

Agent Context + Memory

Persistent memory (ZeroMemory)Context replay + state handlingMulti-step reasoning flows

Agent Autonomy + Execution

Clear tool permissions + scopesReliable action pathwaysError handling + recovery paths

AX Audit + Optimization Framework

Run an AX audit on your productIdentify agent friction pointsOptimize for agent adoption + usage

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

⏱️ Full-Day Schedule

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

Intros + rapid-fire ideasTeam formationDefine your “How Might We” (HMW)

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

Validate before building:

Talk to real usersTest assumptionsApply 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 provisioningZeroMemory (agent cognition layer)ZeroDB (data + vectors + storage)Agent402 (USDC micropayments)OpenClaw multi-agent orchestrationMCP tool ecosystem

AX Layer (Critical)

Agent discovery + indexingMachine-readable APIsAgent-first system designAX audit methodology

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

Now you ship — with AX baked in:

Pair program with AICreate PRD + data modelDeploy an agent (npx zerodb-cli init)Add memory + toolsOptimize your product for AX

Core principles:

Structured prompts = architectureDeterministic agent workflowsTDD + BDDMemory-driven systemsZero-human provisioningAgent-executable interfaces

🟣 4:00 – 5:00 PM — Demo + Pitch

Show:

What you validatedWhat you builtYour working agent

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

🛠️ What You’ll Do

Deploy an autonomous agent in <30 secondsBuild an MVP with agent infrastructureOptimize your product for AI agents (AX)Run a real AX auditMove from idea → validation → working system

🧩 Tools You’ll Use

Agent Cloud Platform

ZeroDBZeroMemoryAgent CloudAgent402 (payments)OpenClawMCP tools

Development Stack

AIKit + A2UIClaude CodeAINative APIsModern AI IDE workflows

AX Optimization

AX Audit ToolAgent discovery protocolsMachine-readable schemasAgent execution flows

👥 Who This Is For

EngineersFoundersIndie hackersDesignersVibe codersNon-technical builders using AIAnyone building products that agents need to use

🎯 What You Leave With

A deployed product or validated prototypeA live autonomous agentAn AX-optimized systemA repeatable AI-native + AX workflowAccess to the AINative ecosystemFree Agent Cloud tier

⚡ Final Note

We’re entering a new era:

First SEOThen UXThen DXNow 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