All Articles & Knowledge Map — AMTECH AI

The full AMTECH operations knowledge graph: published articles, planned playbooks, and the use cases, places, and industries they connect.

All articles & knowledge map

Every published article plus the planned operational playbooks, use cases, places, and industries in the AMTECH knowledge graph.

• Agent-readable knowledge (Outcome) — The end state where an agent that fetches a URL gets enough structure, metadata, entities, and citations to use the content as trusted context without scraping or guessing.
• AI Overviews (Tool) — Google's generative search surface that may use query fan-out across related subtopics, rewarding clear entity relationships and cited claims.
• Approval gate (Method) — The trust boundary where anything that leaves the business or moves money waits for the owner's explicit yes. Enforced structurally by the kind of work, so a money-touching action cannot skip the confirmation.
• Business sovereignty (Outcome) — The small-business analog of sovereign AI: instead of owning a model, the owner owns the layer around a rented model — a business brain, connectors on their own accounts, an approval gate, and an audit trail.
• Connector (Tool) — A live integration — Gmail, Stripe, calendar, files — wired on the owner's own accounts so the AI Employee has operating context and action rights the owner controls, added one at a time as trust grows.
• JSON-LD (Tool) — The JSON syntax for embedding schema.org structured data in a page so its meaning is explicit in the first-fetch surface.
• Knowledge graph (Method) — Named entities connected by typed relationships, so agents and search systems build context by traversing links between things rather than re-reading prose.
• llms.txt (Tool) — A discovery file that gives AI tools a direct orientation to a site’s most important content, complementing sitemap.xml and robots.txt.
• Materialized views (Method) — One source of truth projected into many consumer surfaces — HTML, prerendered static pages, JSON-LD, markdown bundle, sitemap — so every reader gets a fit-for-purpose representation.
• Open Knowledge Format (Method) — Google's lightweight format for AI-readable knowledge: a directory of markdown concept files with YAML frontmatter whose links form a portable knowledge graph.
• OKF content audit (Method) — A six-dimension scoring method (0–30) for how readable a page or bundle is to AI agents: first-fetch clarity, concept packaging, entity coverage, citations, materialized views, and execution readiness.
• Physical AI (Method) — AI that acts in the physical world — multimodal models built to run robots, vehicles, and equipment from images, video, audio, and sensor data rather than text alone. The layer of the control stack where AI takes real-world action.
• AMTECH Knowledge Publishing Standard (Method) — The AMTECH discipline of authoring knowledge once and projecting it into every surface humans, crawlers, agents, and databases need, with validation before publish.
• Sovereign AI (Method) — National control over the AI operating layer — the model, compute, data, physical machines, and permissions — so a country is not dependent on foreign models. The country-scale version of the control problem a business faces.
• Structured data (Method) — Machine-readable clues about page meaning (author, date, type, FAQ, breadcrumbs) that agents and search systems use when prose alone is ambiguous.
• How to Build a Business Brain for Free Before You Hire an AI Consultant (Article) — A practical owner guide for organizing business knowledge, records, examples, rules, and approvals before building an AI employee or custom automation system.
• What AI Agents See When They Read Your Website (Article) — Most web content scores around 12/30 when audited for agent-readability. This walkthrough explains all six OKF rubric dimensions, scores a real AMTECH article, and names the five infrastructure gaps most publishers need to fix.
• What Japan's Sovereign AI Push Means for American Small Business AI Agents (Article) — Japan is spending billions to control its own AI. The lesson for a small business is not to build a national model — it is that the same control fight is coming to Main Street, and at your scale the winning move flips: rent the model, own the layer.
• Use ChatGPT or Claude to Build a Local SEO Plan That Out-Ranks Bigger Competitors (Article) — Give ChatGPT or Claude your services, local conditions, and buyer questions. Turn the output into a knowledge graph, publish answer-first pages, and become the source AI search wants to cite.
• Build a Claude Skill That Helps You Price Jobs Like a Pro (Article) — A plain-English guide for Claude users who want to create a reusable job profitability skill for pricing local service work.