"Agent-Native" is this year's buzzword. Most explanations reduce it to "bind AI to your frontend."That's not wrong — it's just looking at the first three layers while missing the crucial fourth one.
If you follow the current Agent-Native discourse, you'll encounter a consistent three-layer model of what it means to make AI a "native" part of your system:
Layer 1 — Content Readable. The Agent can understand your content as structured text, not as rendered-HTML noise. Standards like llms.txt solve this.
Layer 2 — Action Executable. The Agent doesn't just read — it calls your APIs, triggers operations, fetches live data. defineAction and its equivalents solve this.
Layer 3 — Protocol Compatible. The Agent interoperates through standard protocols (MCP, A2A) so you don't write per-Agent integrations. One adapter, all Agents.
