What to review before building AI
A short checklist for websites, messages, tools, documents, and reporting.
Resources
Plain-English guides for better AI systems.
Short references for teams that want practical systems without hype, fake guarantees, or confusing technical language.
StartDecideBuildMeasureAI searchSecurity
Automation or human review?
How to separate helpful automation from risky blind actions.
The trigger-context-action model
The simple structure behind every useful Elevor workflow.
Proof that the system helped
Response time, booked work, fewer repeats, cleaner reports, and visible ownership.
Make the site understandable
Clear headings, crawlable HTML, sitemap, robots, llms.txt, schema, and source clarity.
Keep private data out of public forms
Use public examples in intake and move sensitive details into scoped private workflows.
AI-readable site context
Built for humans first, then made easy for search and AI assistants to understand.
Elevor Flow includes crawlable pages, canonical metadata, Open Graph images, sitemap, robots.txt, llms.txt, markdown summaries, and structured data. The content avoids fake location pages and invented client claims.