# Use cases

Nine short guides showing how different kinds of people and businesses use more.md.

_Research note_

## Why this page exists

More of the work on the web is now done by AI agents instead of people clicking through pages. Analysts expect spending on these agents to grow from about $7.8 billion in 2025 to over $50 billion by 2030. The exact numbers vary from report to report, but every forecast points the same way: up, and quickly.

The hard part is the plumbing. Normal web pages are built for human eyes, so AI agents struggle to read them. That makes answers worse, raises costs, and breaks connections whenever a page layout changes.

more.md gives everyone one simple page that AI agents can find, read, and pay for. It is built on EEP, an open protocol, so your content is never locked in.

## How to get ready

You need three things: a stable address, readable formats, and clear access rules.

- A stable address for each kind of thing: people, organizations, places, assets, products, knowledge, AI agents, events, and custom entities each get their own URL shape.
- You can ask agents to pay or verify themselves before they read your content, and the response tells them exactly what proof to bring next.
- Every page is served in the format the reader handles best, so agents never have to parse a layout meant for human eyes.
- Live updates are pushed to subscribed agents the moment something changes, including multi-step negotiations.
- Official SDKs for JavaScript and Python cover the common read, subscribe, and search paths.

Pick one sector below, start small, and compare speed and cost against the tools you use today. Every claim in these guides links to a source you can check.

## Where to start

Each card shows one kind of business, the problem it has today, and how more.md helps.

- **[HR and hiring](/use-cases/u-hr-hiring)**: Person (`/u/`). Market signal: Forecasts put AI spending in HR at about $15 billion by 2030. Friction: Candidates do not trust AI scoring, and resumes are easy to fake. more.md fit: Primary `/u` candidate profiles; W3C VCs; trust gates; Markdown/TOON for ATS agents.
- **[Procurement and supply chain](/use-cases/o-procurement-supply-chain)**: Organization (`/o/`). Market signal: One 2025 analysis sized AI-driven sourcing at about $184 billion of business buying. Friction: Small automated purchases stall on coordination, and supplier data stays messy. more.md fit: Primary `/o` trading partners; linked `/p` SKUs; discovery manifest; Pulse; x402-style settlement.
- **[Commercial real estate](/use-cases/l-commercial-real-estate)**: Place (`/l/`). Market signal: Real estate technology still attracts billions in investment each year. Friction: Building faults still travel through phone calls and ticket queues. more.md fit: Primary `/l` building and campus profiles; smart sections; SSE for IoT events.
- **[Distributed energy and IoT](/use-cases/a-distributed-energy)**: Asset (`/a/`). Market signal: Energy agencies expect data centers and electrification to push demand up sharply. Friction: Central control rooms cannot react to every local power spike in time. more.md fit: Primary `/a` for BESS and large loads; local telemetry; event bus; Pulse + x402 for trades.
- **[Retail and e-commerce](/use-cases/p-retail-ecommerce)**: Product (`/p/`). Market signal: McKinsey expects AI agents to shape trillions of dollars in shopping by 2030. Friction: Shopping assistants need catalogs they can compare, and checkout that works outside closed platforms. more.md fit: Primary `/p` SKUs and offers; merged Markdown catalogs; HTTP 402 payment gates.
- **[Enterprise knowledge management](/use-cases/k-enterprise-knowledge)**: Knowledge base (`/k/`). Market signal: Companies spend billions each year on knowledge-management tools. Friction: Internal AI assistants re-read bloated data on every question, and the cost adds up. more.md fit: Primary `/k` knowledge bases; doc ingest to Markdown; `Accept: text/toon`; MCP for IDE agents.
- **[Healthcare and life sciences](/use-cases/agent-healthcare)**: AI agent (`/agent/`). Market signal: AI agents in North American healthcare were roughly a $660 million market in 2025. Friction: Privacy rules like HIPAA, liability, and messy handoffs between clinical and admin systems. more.md fit: Primary `/agent` clinical & ops automations; `/o` care orgs; verifiable-credential gates; PHI stays local.
- **[Corporate travel and events](/use-cases/e-travel-events)**: Event (`/e/`). Market signal: AI spending in travel is projected to reach about $13 billion by 2030. Friction: Group trips, room blocks, and venue quotes still live in email. more.md fit: Primary `/e` for conferences, holds, trip milestones; Pulse sequencing; linked `/o`/`/l` in the graph.
- **[Legal and enterprise governance](/use-cases/x-legal-enterprise-governance)**: Custom (`/x/`). Market signal: Spending on AI oversight software is still in the hundreds of millions, while EU fines for breaking the rules can reach tens of millions of euros. Friction: Auditors want a record of every action an agent took, and vague claims of human oversight do not hold up. more.md fit: Primary `/x` for jurisdiction-specific assurance payloads; changelogs; DIDs; capability gates.