The internet is almost entirely unprepared for a future where everyone’s personal agents are running around executing tasks for them. There are going to be endless new challenges and opportunities at the infrastructure layer, for user experiences, new business models, and more.

AI shopping agents are about to make static storefronts obsolete. If the shopper uses intelligence in the browser, the seller side has to adapt - an agent that understands intent and builds the expected experience live - on the web. For the @OpenAI + @Shopify WebMCP Challenge, we brought this to life on a Steve Madden agentic store: “A dinner wedding—dress, heels, clutch and jewellery.” “Make it all pink.” “Change of plans—it’s a beach party.” Each request rebuilds the entire experience, while context like size, style and theme carries across every turn. Not serving an homepage, static PDP's or collections. Just the exact branded UI needed for that moment. That’s AMS - our Agentic Management System. The brand’s own agentic store, not another generic chat window. Impossible a few months ago. Huge credit to @igrigorik, @gilgNYC, @andreban, @0xidanlevin, @sarah_edo, @mxstbr, @liadyosef and @kaskulikowski. Demo store and playground repo - linked in the first comment.

We're open-sourcing Claude Commerce Agents. This is a blueprint for building shopping and merchant agents, with reference implementations across retail, travel, telecom, and entertainment.

The harness matters more than the model. Models have gotten really good. Great reasoning, large context windows, better instruction following. But, what makes *use* of those capabilities is actually the harness. It's what provides tools, memory, skills and context to the model. ChatGPT is a harness. Claude Cowork is a harness. Without the harness, the model is just an engine with no car. You don't get anywhere.

Stripe's 4 areas of focus in terms of AI, per their CRO of AI @MaiaJo_: 1. Economic infrastructure for AI companies (billing, payments, etc.) 2. Using AI across the payments lifecycle to drive conversion, cut fraud, reduce cost 3. Native Stripe integrations inside AI dev tools (Vercel, Replit, Lovable) 4. Agentic commerce infra (checkout in chats, shared payment tokens, agentic commerce suite)

Your business is about to run itself. @Razorpay Agent Studio is now rolling out. Build your own AI agents for: Recon. Ops. Disputes. Drop-offs. And more. The world’s first agent platform built on payments infrastructure. Built in partnership with @AnthropicAI What’s live: → 8+ agents live today → 7+ connectors (@ElevenLabs, Tally, @SarvamAI, WhatsApp, Slack, and more) → Build your own agent (beta) → Strong guardrails and evals Already in motion: → 6 launch partners, 2 agent partners → Builder Day → May 9 Early access & details → razorpay.com/agent-studio/

Very excited to share (a preview of) @stripe projects: A new way for you—and your agents—to programmatically provision and manage the internet’s best developer services, right from the CLI. projects.dev to sign up for early access. Demo ⤵️

AI is collapsing the gap between discovery and purchase. The new @Meta experience brings an AI shopping assistant directly into the flow by surfacing reviews, product details, and recommendations at the moment of intent, then enabling one-tap checkout. Excited that @PayPal is a launch partner powering this shift. facebook.com/business/news/a…

Huge news for Shopify merchants

Why Walmart and OpenAI Are Shaking Up Their Agentic Shopping Deal | WIRED wired.com/story/ai-lab-walma…

Agentic commerce = AI deciding what to buy. Agentic payments = infrastructure that executes it securely. Most teams are solving the first. The second is where the real work is. hubs.la/Q046Z4XD0 #AgenticPayments #Agents #Merchants