Windrose AI is about how the agentic web actually works.

Not the demos. Not the buzzwords.

The real systems - protocols, APIs, trust layers, and the messy constraints that show up in production when software is used by agents instead of humans.

If you're building or reasoning about these systems, this is where the details matter.

7 min read

Autonomous Agents in Travel: What's Working Today

A practical look at where AI agents are already useful in travel booking, hotel negotiation, and itinerary planning—and where humans still need to confirm the final decision.




7 min read

How to Design an API for AI Agents (Not Just Humans)

Designing for AI agents means making APIs explicit, predictable, and safe to automate. The key ingredients are structured errors, capability declarations, idempotency, quote-before-commit flows, and unambiguous schemas.


7 min read

The Future of Digital Identity for AI Agents

AI agents need identities that are portable, scoped, and revocable. This post compares API keys, wallet-based identity, and OAuth-style delegation, and argues that the right model is a layered one.


7 min read

The Economics of Agentic Commerce

Agents do not just change how people buy; they change what gets priced, how bundles are assembled, how often purchases happen, and how loyalty is earned when software optimizes for cost and availability instead of habit.



7 min read

How to Make Your Online Store Agent-Accessible

A practical guide for developers on making an online store usable by AI agents: discovery endpoints, machine-readable product data, agent authentication, and x402 payments.