Agentic Web
Discovery, comprehension, action, A2A. Twenty-eight checks.
AI assistants like ChatGPT, Claude, and Perplexity are becoming the primary way people discover businesses. Most websites are invisible to them, built as SPAs with empty HTML that AI crawlers can't read.
We rebuild or retrofit your site with four layers of AI readiness: discovery (SSR, llms.txt, sitemaps), comprehension (JSON-LD schema, /api/ai endpoints), action (MCP server, WebMCP tools), and agent-to-agent communication (A2A protocol).
Everything that ships with it.
Agentic Web Audit (Layer 1/2/3 gap analysis)
Server-side rendering migration
llms.txt and context.md creation
JSON-LD schema on every page
MCP server for agent actions
WebMCP declarative and imperative API
Where this shows up.
Agentic web in production
We practice what we preach. Two live sites running the full 4-layer stack.
Live site
p0stman.com: our own agentic rebuild
This site runs the full stack: llms.txt, JSON-LD on every page, MCP server, A2A AgentCard, IndexNow, and 28 agentic readiness checks passing. Run the audit yourself.
Fintech
AccountsOS: agentic stack from day one
Built with the full agentic web stack baked in. Discoverable by AI agents, queryable via MCP, JSON-LD on every page, and a working A2A endpoint for agent-to-agent interaction.