# Rainz.ai > Rainz.ai builds business stability architecture for mid-size companies: AI implementation, revenue operations, UX and content strategy connected into one system. Creator and maintainer of the AX Protocol (Agent Experience) and AXS specifications. Based in Israel; works in Hebrew and English. Generated by AX Protocol on 2026-10-25. Language: en. Canonical manifest: https://rainz.ai/en/.well-known/ax.json ## Services - [AX Protocol — Make Your Website Agent-Ready](https://rainz.ai/en/ax-protocol/): AX Protocol makes your WordPress site agent-ready: see which AI agents visit, control their access, and get a verified AXID identity. Free plugin, Pro $49/site/year. - [AX Protocol Documentation](https://rainz.ai/en/ax-protocol/docs/): Complete AX Protocol documentation: requirements, 2-minute installation, published endpoints (ax.json, llms.txt, robots.txt policy), settings and troubleshooting. - [AX Protocol Support](https://rainz.ai/en/ax-protocol/support/): Get support for AX Protocol: free-tier help via the contact form, priority replies within 1 business day for Pro, plus a 30-second troubleshooting checklist. - [The Agent Census](https://rainz.ai/en/ax-protocol/census/): An open count of real AI agent traffic measured from server logs, not JavaScript analytics. Why the existing numbers are wrong, what the census measures, and how to contribute data. - [Pay-Per-Crawl: the cheap door is the machine door](https://rainz.ai/en/ax-protocol/pay-per-crawl/): Three pricing models for AI agent access, what must be in place before you charge, how to keep search visibility while metering agents, and when charging costs more than it earns. - [The AX Zero-Shot Challenge](https://rainz.ai/en/ax-protocol/zero-shot/): A public test of whether an AI agent that has never seen AX Protocol can discover, understand and use it in a single conversation. How to run it on your own site and read the results. - [ Journey to Digital Success](https://rainz.ai/en/journey-to-digital-success/): Amal ve'Meaver is a leading company in Israel, providing high-quality nursing services, nursing homes, and psychological counseling. The digital team, integral to the company’s growth, developed innovative strategies and… - [88+ Leading AI Tools for 2026](https://rainz.ai/en/88-leading-ai-tools-for-2026/): The most up-to-date list in Hebrew: 88+ artificial intelligence tools by category—marketing, video, content, data, and automation. What's free, pricing, and usage recommendations. - [A Comprehensive Website Building Checklist: Everything You Need to Launch a Perfect Site](https://rainz.ai/en/website-building-checklist/): Fifteen practical checks before launch: responsiveness, speed, accessibility, SEO, security, browser compatibility and performance measurement. - [A Roadmap for Managing AI Challenges in Business: The Human and Intelligence Charter](https://rainz.ai/en/ai-challenges-roadmap/): Ten practical principles for governing AI in business – explainability, truth labels, smart contracts, human stopping points and algorithmic equality. - [Agent Observability: The Unit of Measurement Is the Step, Not the Answer](https://rainz.ai/en/ai-agent-observability/): Logging the response tells you nothing about why the agent got there. Span-level tracing with OpenTelemetry GenAI conventions, and the four metrics that actually change decisions. - [Agentic Commerce in 2026: Which Protocol Should You Actually Implement?](https://rainz.ai/en/agentic-commerce-protocols/): ACP, AP2 and x402 are not rivals — they solve different halves of the same problem. A practical read on what merchants and B2B sites should implement first. - [AI Adoption for Enterprises](https://rainz.ai/en/service/ai-adoption-enterprise/): Most organisations have already bought AI licences. Far fewer can point to a single business process that changed because of them. That gap is not technological — it is an adoption gap. - [AI Agent Permissions: Designing Boundaries That Actually Hold](https://rainz.ai/en/ai-agent-permissions/): Agent boundaries live in the permission model, not the prompt. Meta Rule of Two, a four-layer permission model, prompt injection in practice, and the list of actions an agent never takes alone. - [AI and machine learning: using the technology to improve performance](https://rainz.ai/en/ai-machine-learning-business-performance/): How language models evolved, which models do what, and how to run private open-source LLMs on your own network with no data leaving the building. - [AI Digital Agency: What It Is and How to Choose One in 2026](https://rainz.ai/en/ai-digital-agency-how-to-choose/): How to tell a real AI digital agency from a buzzword: the three operating principles, seven questions to ask before signing, typical pricing and the one red flag. - [AI for Business: The Practical 2026 Guide](https://rainz.ai/en/ai-for-business-the-practical-2026-guide/): What AI can actually do for your business in 2026: real use cases, tools, costs and a step-by-step path from first pilot to production. - [AI for Sales: The Complete Guide for Business in 2026](https://rainz.ai/en/ai-for-sales-complete-business-guide/): HBR research: 50% more leads, 60-70% shorter calls, 40-60% lower costs. The four areas AI changes sales, a four-stage rollout plan and real costs. - [AI Governance: Who Is Accountable for AI in Your Organisation?](https://rainz.ai/en/ai-governance-accountability/): AI is already inside your organisation. A practical guide to AI governance: EU AI Act, ISO 42001, privacy by design, AI inventory and clear ownership. - [AI Implementation](https://rainz.ai/en/ai-implementation/): We identify the processes that are genuinely worth automating, build them on stable infrastructure, and stay with the team until the tools become part of the daily routine. - [AI Implementation for Business: The Complete 2026 Guide](https://rainz.ai/en/ai-implementation-for-business-the-complete-2026-guide/): A practical guide to implementing AI in your business in 2026: where to start, what it costs, which processes to automate first, and how to measure ROI. - [AI Implementation in Business: What Actually Works in 2026 (and Why Most Tools Stay on the Shelf)](https://rainz.ai/en/ai-business-implementation-2026/): Most AI tools stay on the shelf. A lean framework for a mid-sized business: one pain point, minimal data, a 30–60 day pilot with a single metric, people as a budget line and a decision gate. - [AI in Real Estate: How Artificial Intelligence Is Reshaping the Market in 2026](https://rainz.ai/en/ai-real-estate-market/): What AI already does well in real estate - instant valuations, lead qualification, marketing and property management - and where the Zillow collapse shows the limit. - [AI Pilot ROI: Why 95 Percent Fail and How to Measure Properly](https://rainz.ai/en/ai-pilot-roi/): 95 percent of enterprise GenAI pilots never reach the income statement. Four layers of ROI, a six-week pilot structure, and four signals that justify closing early. - [AI Sales Agents: How AI Closes Deals 24/7 (2026 Guide)](https://rainz.ai/en/ai-sales-agents-how-ai-closes-deals-24-7-2026-guide/): AI sales agents qualify leads, follow up and book meetings around the clock. What they really do, what they cost, and how to deploy one without losing trust. - [AI Video Generation Tools 2026: The Complete Guide](https://rainz.ai/en/ai-video-generation-tools-2026-the-complete-guide/): The best AI video generation tools of 2026 compared, Sora, Runway, Veo and more, with pricing, real output quality and which one fits your use case. - [Anatomy of a Business AI Agent: What Actually Runs Under the Hood](https://rainz.ai/en/ai-agent-anatomy/): An AI agent is a loop of planning, action and observation, built from four components: model, tools, memory and control. What actually runs under the hood, what MCP changed, and where agents break in practice. - [Artificial Intelligence Implementation](https://rainz.ai/en/service/ai-implementation/): Artificial intelligence — the technology of tomorrow. - [ATIR](https://rainz.ai/en/projects/atir/): בית תוכנה הנדסי משנת 1983 — STRAP ו-AutoSTRAP לניתוח ותכן מבנים, לצד מרכז ידע מקצועי ומסע התנסות חינם. - [Best AI Search Engines 2026: The Complete Guide to Search in the AI Era](https://rainz.ai/en/best-ai-search-engines-2026-the-complete-guide-to-search-in-the-ai-era/): A hands-on comparison of the leading AI search engines in 2026, ChatGPT Search, Perplexity, Gemini and more, and how to get your business cited by them. - [Blue Sky Garage Doors](https://rainz.ai/en/projects/blue-sky-garage-doors/): חברת דלתות מוסך ושערים במטרו דנוור — 32 עמודי שירות, עמודי אזור ל-18 ערים, קונפיגורטור דלת וכלי אבחון תקלות אינטראקטיבי. - [Build or Buy AI Capability: Five Routes and Three Decision Lenses](https://rainz.ai/en/ai-build-vs-buy/): Build versus buy is not binary. Five possible routes, the three lenses that decide between them, when fine-tuning genuinely pays, and why an abstraction layer is the one decision to make on day one. - [Building an Enterprise RAG Knowledge Base: Four Layers and a 90-Day Plan](https://rainz.ai/en/enterprise-rag-knowledge-base/): Between 70% and 80% of enterprise RAG projects never reach production, and most failures sit in the retrieval layer rather than the model. The four layers of a knowledge base, recommended chunk sizes, hybrid retrieval, p… - [Business Data Analytics Systems: The Complete Guide 2026](https://rainz.ai/en/business-data-analytics-systems-guide/): What a data analytics system is, the three components of proper data management, a comparison of the leading 2026 tools and four questions that lead to the right choice. - [Business data management and analytics: the complete guide](https://rainz.ai/en/business-data-management-analytics/): Why dashboards fail without data management, the five steps from scattered data to decisions, real costs, and where AI genuinely helps. - [Calcom](https://rainz.ai/en/projects/calcom/): שילוב בין דאטה, אוטומציה ותובנות שיווקיות Rainz.ai מלווה את Calcom בפיתוח תשתית דיגיטלית חכמה המשלבת בין ניתוח נתונים מתקדם, שיפור חוויית משתמש והטמעת אוטומציות שמסייעות להמיר תובנות לפעולה. אנו מספקים ל-Calcom מעטפת שיר… - [Cart](https://rainz.ai/en/cart/): My Cart - [Case study marketing: 5 reasons proof sells better than promises](https://rainz.ai/en/case-study-marketing-guide/): Why case studies close deals: proven experience, reputation, confidence, a seal of quality and loyalty — plus a real community-driven example. - [Checkout](https://rainz.ai/en/checkout/): Checkout - [Content Strategy](https://rainz.ai/en/content-strategy/): We build a content system that generates demand: topics chosen by real search intent, a site structure Google and answer engines understand, and a publishing cadence you can sustain. - [Content Strategy for Business: The Complete Guide 2026](https://rainz.ai/en/content-strategy-guide/): How to build a content strategy that generates customers: the River Pools story, a live example where 74% of our traffic comes from one article, and 6 practical steps. - [CoverUP](https://rainz.ai/en/projects/coverup/): מתפרה ישראלית לכיסויים וריפודים לפי מידה — קונפיגורטור שמתרגם צורה ומידות להזמנה, מעל קטלוג בדי חוץ מלא. - [Cutting 60 to 80 Percent From Your Inference Bill: A Practical Guide](https://rainz.ai/en/inference-cost-optimization/): Six levers for reducing inference cost, ranked by return on effort: prompt caching, model routing, batch, output shortening, semantic cache and distillation — and the right order to apply them. - [Darya Store](https://rainz.ai/en/projects/darya-store/): אסטרטגיה דיגיטלית. - [Data Analytics](https://rainz.ai/en/data-analytics/): We turn raw numbers into a clear business picture: clean measurement, one dashboard that speaks the language of management, and decisions based on evidence instead of gut feeling. - [Data is trapped, not missing: organisations drowning in information and starved of insight](https://rainz.ai/en/data-trapped-single-source-of-truth/): Most organisations do not lack data - it is trapped in disconnected systems. Why dashboards fail and what a single source of truth actually requires. - [Digital and Performance Vendor Management: A Key to Success in the Digital Age](https://rainz.ai/en/digital-and-performance-vendor-management-a-key-to-success-in-the-digital-age/): How to manage digital and performance vendors effectively. Strategic frameworks for vendor selection, KPIs, and ROI optimization. - [Digital Marketing Strategy: The Complete Guide for Business in 2026](https://rainz.ai/en/digital-marketing-strategy-complete-guide/): A documented strategy makes success 3x more likely. Five steps, two case studies with real numbers, costs, and where AI fits in 2026. - [Digital Sales](https://rainz.ai/en/digital-sales/): We close the gap between a lead and a deal: a defined sales path, follow-up automation that never drops an enquiry, and a team that knows exactly what to say and when. - [Digital Strategy FAQ: The Questions Every Business Owner Should Know](https://rainz.ai/en/digital-strategy-questions-answers/): Clear answers on digital strategy: what it is, how to measure it, which tools and channels to use, AI and automation, common challenges and how to calculate ROI. ## Key pages - [AX Protocol — Make Your Website Agent-Ready](https://rainz.ai/en/ax-protocol/): AX Protocol makes your WordPress site agent-ready: see which AI agents visit, control their access, and get a verified AXID identity. Free plugin, Pro $49/site/year. - [Cart](https://rainz.ai/en/cart/): My Cart - [Checkout](https://rainz.ai/en/checkout/): Checkout - [My account](https://rainz.ai/en/my-account/) - [Our Areas of Expertise](https://rainz.ai/en/our-areas-of-expertise/): Rainz.ai offers a wide range of expertise in the digital field, including SEO, PPC, social media marketing, digital content, digital analytics, website and app development, digital strategy, e-commerce, artificial intell… - [Refund Policy](https://rainz.ai/en/refund-policy/): AX Protocolby rainz.aiOverviewDocsSupportGet ProRefund PolicyLast updated: August 10, 202614-day money-back guaranteeIf you are not satisfied with AX Protocol Pro, contact us within 14 days of purchase and we will refund… - [Shop](https://rainz.ai/en/shop/) - [Terms of Service](https://rainz.ai/en/terms-of-service/): AX Protocolby rainz.aiOverviewDocsSupportGet ProTerms of ServiceLast updated: August 10, 2026These terms govern use of rainz.ai and the AX Protocol Pro service, operated by Rainz AI Ltd. (ריינז בינה מלאכותית בע”מ), an Is… - [הפרויקטים שלנו](https://rainz.ai/en/our-projects/): צפו בפרויקטים נבחרים של Rainz.ai בתחומי עיצוב, פיתוח אתרים, אסטרטגיה דיגיטלית ושיווק. תיק עבודות המציג חדשנות ותוצאות מוכחות - [הצהרת נגישות](https://rainz.ai/en/accessible/): מעודכן לתאריך 31/7/2024 אנו ב-Rainz.ai מחויבים לפעול למען הנגשה מלאה של שירותינו לכלל הלקוחות, כולל אלו עם מוגבלויות וצרכים מיוחדים. זאת במטרה לאפשר לכולם גישה - [תוסף נגישות לוורדפרס חינם – Rainz Accessibility](https://rainz.ai/en/rainz-accessibility/): תוסף נגישות חינמי לוורדפרס בעברית: כפתור נגישות צף, RTL מלא, ניגודיות, הגדלת טקסט ועוד — קוד פתוח, בלי מנוי חודשי. הורידו עכשיו מ-WordPress.org. - [ספקים דיגיטל](https://rainz.ai/en/join-us-suppliers/): אנשי מקצוע בתחום הדיגיטל? הצטרפו לרשת הספקים של Rainz.ai. מחפשים מומחי SEO, PPC, מפתחים ומעצבים. סביבת עבודה מפרה ואתגרית - [הצטרפו אלינו](https://rainz.ai/en/join-us/): מחפשים להצטרף לצוות מוביל בתחום הדיגיטל? Rainz.ai מגייסת אנשי מקצוע מנוסים. גלו הזדמנויות קריירה בסביבה חדשנית ומפרה - [Contact Us](https://rainz.ai/en/contact-us/): Contact Rainz.ai for consulting in digital marketing, digital strategy, and artificial intelligence. We'd be happy to help grow your business - [שירות לקוחות](https://rainz.ai/en/customer-service/): שירות לקוחות מקצועי ללקוחות Rainz.ai. צוות המומחים שלנו מספק תמיכה מהירה ואישית להבטחת הצלחתכם המתמשכת - [מי אנחנו](https://rainz.ai/en/about-rainz/): הכירו את Rainz.ai - צוות מומחים בשיווק דיגיטלי, בינה מלאכותית וניתוח דאטה. מביאים פתרונות מתקדמים לניהול תהליכים וקידום דיגיטלי לעסקים - [Home](https://rainz.ai/en/): Rainz.ai delivers smart solutions for process management and digital marketing using artificial intelligence and data analysis, bringing success and profitability to your digital world. - [Privacy Policy](https://rainz.ai/en/privacy-policy/): How Rainz.ai collects, uses, stores and shares your personal data — cookies, AI processing, third parties, marketing and your rights. ## Recent writing - [Why 88% of AI Pilots Never Ship — And a Five-Dimension Readiness Scorecard](https://rainz.ai/en/ai-readiness-scorecard/): Only 7% of enterprises say their data is ready for AI. A scorecard for data, ownership, process fit, governance and measurement — and what to do about your lowest score. - [Agent Observability: The Unit of Measurement Is the Step, Not the Answer](https://rainz.ai/en/ai-agent-observability/): Logging the response tells you nothing about why the agent got there. Span-level tracing with OpenTelemetry GenAI conventions, and the four metrics that actually change decisions. - [Running MCP in the Enterprise: Gateways, Least Privilege and 200,000 Exposed Servers](https://rainz.ai/en/enterprise-mcp-governance/): MCP became the integration layer for agentic AI faster than anyone governed it. Tool poisoning, rug pulls and confused deputies — and the gateway architecture that contains them. - [The EU AI Act Timeline Moved. The Deadline That Matters Did Not.](https://rainz.ai/en/eu-ai-act-2026-timeline/): The Digital Omnibus pushed high-risk obligations to December 2027 — but Article 50 transparency still lands on 2 August 2026, and it touches almost everyone. - [Agentic Commerce in 2026: Which Protocol Should You Actually Implement?](https://rainz.ai/en/agentic-commerce-protocols/): ACP, AP2 and x402 are not rivals — they solve different halves of the same problem. A practical read on what merchants and B2B sites should implement first. - [From Reading to Doing: What It Takes for an AI Agent to Complete a Task on Your Site](https://rainz.ai/en/ai-agent-actions/): WebMCP is a Community Group draft, ACP is in beta with no discovery mechanism, Web Bot Auth has no adopted document. What you can actually implement today. - [How to Write a Page an AI Agent Can Actually Cite](https://rainz.ai/en/ai-citable-content/): nosnippet and max-snippet do affect AI Overviews, FAQPage has been deleted from the gallery, and no vendor documents how a passage is chosen. Only what is officially documented. - [The Discovery Layer: What an AI Agent Actually Reads on Your Site](https://rainz.ai/en/ai-discovery-layer/): llms.txt, sitemap, schema and well-known. I went through the official documentation from Google, OpenAI, Anthropic, Perplexity and Microsoft: what is actually read, and what is only promised. - [Without JavaScript: What an AI Agent Actually Receives When It Fetches Your Site](https://rainz.ai/en/ai-agents-javascript-rendering/): The only public measurement found that major AI crawlers do not execute JavaScript. How to check in two minutes what actually leaves your server, and what to do if the page is empty. - [The 2026 Bot Map: Who Is Actually Crawling Your Site, and What You Can Safely Block](https://rainz.ai/en/ai-crawler-bot-map/): Training crawlers and answer-time fetchers are two different families with separate user-agents. Who to block, who to leave open, and how to verify in the log that it actually works. - [Your website was built around gravity that no longer exists](https://rainz.ai/en/ai-agents-cant-read-your-website/): In 1984 NASA sent 3,300 bees to space to see if they could build honeycomb without gravity. What happened explains why AI agents can’t read your site. - [Running AI Agents on Your Own Hardware: When It Pays Off and When It Is Waste](https://rainz.ai/en/self-hosted-ai-agents/): The break-even between self-hosting and an API, why GPU utilisation decides everything, what the calculation leaves out, and why routing by task beats a binary decision. - [Human in the Loop: Where Exactly to Put the Approval Point in an AI Agent](https://rainz.ai/en/human-in-the-loop-approval/): The approval point is set by reversibility and damage, not by model confidence. Four approval patterns, what belongs on the approval screen, and how to stop it becoming a rubber stamp. - [How to Test an AI Agent Before It Touches a Customer: A Practical Guide to Evals](https://rainz.ai/en/ai-agent-evals/): Ordinary software testing does not work on AI agents. The full guide to building an eval set, four levels of measurement, regression testing and production monitoring. - [AI Agent Permissions: Designing Boundaries That Actually Hold](https://rainz.ai/en/ai-agent-permissions/): Agent boundaries live in the permission model, not the prompt. Meta Rule of Two, a four-layer permission model, prompt injection in practice, and the list of actions an agent never takes alone. ## Contact - Email: adir@rainz.ai - Phone: 0544765861 ## For AI agents This site speaks AXS — one GET returns offers, prices, availability and next actions. No scraping needed. - Endpoint: https://rainz.ai/en/wp-json/ax/v1/x - Dialect: AXS-2.0 - Lexicon: https://rainz.ai/wp-json/rainz-axs/v1/lexicon - every word, its class, its schema.org anchor and its glyph. Read it once and you can compose sentences instead of copying them. - Manifest: https://rainz.ai/en/wp-json/ax/v1/manifest - endpoints, codebook, provenance. - Try: https://rainz.ai/en/wp-json/ax/v1/x?s=ax1+q.svc.pr+n%3D3 - Response format: `ax1 ok op=o n=` followed by `=i:|t:"title"|pr:|cur:|av:|u:|pay:` lines. Follow the `nx=` field for next actions (a.quote, a.lead). - Header hints: `cov=` how much of your query was understood (0..1), `cb=` codebook version. Item lines may add `d:"note"`; `pr:quote` means priced on enquiry — use a.lead. - `pay:` names the settlement rails this seller accepts — `quote` means ask a human (use a.lead or a.quote), `site` means hand off to the human checkout at `u:`, `none` means not for sale. It is a claim about capability, never an invoice. `lic:` says what the buyer receives with the offer; it is not the licence on this site’s content. - A price in AXS is the seller’s stated figure, not a binding offer and not a contract. Nothing you read here reserves, holds or charges anything, and no endpoint on this site can take payment. - An empty or malformed query returns `ax1 err` with a usage example — the endpoint teaches its own syntax. - Send a lead: POST https://rainz.ai/en/wp-json/ax/v1/intent with JSON {"name","email","message"} — a human replies by email. Check status: https://rainz.ai/en/wp-json/ax/v1/intent/status?reference=AX-XXXXXXXX - Subscribe to updates: https://rainz.ai/en/wp-json/ax/v1/x?s=ax1+sub — signed webhook events, so you return only when something changed. - Spec: https://rainz.ai/spec/ax-1.0/ - MCP server (whole network): https://rainz.ai/en/wp-json/rainz-axs/v1/mcp — Streamable HTTP, JSON-RPC 2.0, no auth. Tools: ax_network_sites, ax_offers, ax_query. Add it as an MCP connector to query every AX site at once.