agent architecture

theme-ai AI & ML openai agent architecture

Jul 10

AI Agents Need Your Identity and Your API

Website owners now face two separate competitive fronts in the agentic web: establishing machine-readable identity through LLMs.txt (similar to robots.txt but for language models) and exposing functional capabilities via WebMCP protocols that let AI agents perform tasks on their sites. This splits the visibility problem—discovery of *who you are* from accessibility of *what you do*—which means SEO playbooks don't apply wholesale. A site could be well-indexed by AI but functionally locked down, or vice versa. Platforms that control agent routing (which identities agents check first) and early movers exposing non-trivial capabilities have structural advantages. An agent that can book reservations or check inventory across ten sites has immediate business value regardless of search ranking.

theme-ai agent architecture autonomous systems ai reliability

May 12

The Six-Layer Problem Most Agent Products Ignore

Source: Nate’s Substack

As AI agents move beyond narrow use cases into autonomous decision-making—particularly around commerce and transactions—the architecture of accountability is fragmenting faster than products are shipping. The visibility that came from "a human clicked a button" is dissolving across multiple layers: perception, reasoning, execution, integration, legal, social. Most deployed agents only handle the technical and execution layers, leaving responsibility gaps that will become costly once real money and liability are at stake. This is a product architecture problem, not a philosophical one. It separates companies building defensible agent systems from those building liability pipelines.