{"id":28380,"date":"2026-03-11T07:00:00","date_gmt":"2026-03-11T05:00:00","guid":{"rendered":"https:\/\/pointofnew.at\/?p=28380"},"modified":"2026-03-30T19:58:03","modified_gmt":"2026-03-30T17:58:03","slug":"ai-agents-in-business-consulting-how-openclaw-changes-the-game","status":"publish","type":"post","link":"https:\/\/pointofnew.at\/en\/blog\/ai-agents-in-business-consulting-how-openclaw-changes-the-game\/","title":{"rendered":"AI Agents in Business Consulting: How OpenClaw Changes the Game"},"content":{"rendered":"<p><!-- Focus Keyword: AI agents business consulting --><br \/>\n<!-- Meta Title: AI Agents in Consulting: How OpenClaw Changes the Game --><br \/>\n<!-- Meta Description: Real-world insights: How we use AI agents in innovation consulting. From content creation to SEO \u2013 autonomous systems transforming processes. Learn more now! --><\/p>\n<div style=\"background:#f0f1f3;border-radius:12px;padding:1.5rem 2rem;margin-bottom:2rem;\">\n<strong>Key Takeaways<\/strong><\/p>\n<ul style=\"margin-top:0.75rem;margin-bottom:0;\">\n<li><strong>AI agents are not chatbots<\/strong> \u2013 they act autonomously, use tools, and work continuously on complex tasks<\/li>\n<li><strong>OpenClaw as an open-source framework<\/strong> enables integration of 100+ tools for web, email, files, and more<\/li>\n<li><strong>Practical use cases:<\/strong> Content creation, SEO optimization, website management, client research, and marketing automation<\/li>\n<li><strong>McKinsey forecast:<\/strong> AI agents create $2.6\u20134.4 trillion in value annually; Gartner expects 40% agent integration by 2026<\/li>\n<li><strong>Mind the limits:<\/strong> Quality control and human approval remain essential even with autonomous systems<\/li>\n<\/ul>\n<\/div>\n<nav style=\"background:#f9f9f9;padding:1.5rem 2rem;border-radius:8px;margin-bottom:2rem;\">\n<strong>Table of Contents<\/strong><\/p>\n<ol style=\"margin-top:0.5rem;margin-bottom:0;\">\n<li><a href=\"#what-are-ai-agents\" style=\"color:#1a5276;text-decoration:none;\">What Are AI Agents \u2013 and Why They&#8217;re More Than ChatGPT?<\/a><\/li>\n<li><a href=\"#openclaw-example\" style=\"color:#1a5276;text-decoration:none;\">OpenClaw: Open-Source Framework for Autonomous Assistants<\/a><\/li>\n<li><a href=\"#practical-use\" style=\"color:#1a5276;text-decoration:none;\">How We Use AI Agents in Consulting<\/a><\/li>\n<li><a href=\"#sme-impact\" style=\"color:#1a5276;text-decoration:none;\">What This Means for SMEs: Efficiency, Scaling, Competitive Advantage<\/a><\/li>\n<li><a href=\"#risks-limitations\" style=\"color:#1a5276;text-decoration:none;\">Risks and Limitations: Where Human Control Remains Essential<\/a><\/li>\n<\/ol>\n<\/nav>\n<p style=\"font-size:1.1rem;color:#2c3e50;line-height:1.7;\">The discussion around <a href=\"https:\/\/pointofnew.at\/en\/glossary\/ai-strategy-for-companies\/\" style=\"color:#1a5276;text-decoration:none;border-bottom:1px dotted #1a5276;\">Artificial Intelligence<\/a> often oscillates between two extremes: Either AI is presented as a cure-all for every problem, or dismissed as a theoretical toy without real value. The reality \u2013 as usual \u2013 lies in between. And it&#8217;s far more interesting.<\/p>\n<p style=\"line-height:1.7;\">As an innovation consultancy, we&#8217;ve been working with <strong>AI agents<\/strong> for months that have fundamentally changed our processes. Not through science-fiction scenarios, but through concrete, measurable automation. This article shows what AI agents can really do, how they differ from traditional chatbots \u2013 and why OpenClaw as an open-source framework is particularly interesting.<\/p>\n<h2 id=\"what-are-ai-agents\" style=\"color:#1e3a5f;margin-top:2.5rem;\">What Are AI Agents \u2013 and Why They&#8217;re More Than ChatGPT?<\/h2>\n<p style=\"line-height:1.7;\">The term &#8220;AI agent&#8221; is used inflationarily, but the technical definition is precise: <strong>An AI agent is an autonomous system that pursues goals independently, uses tools, and learns from context.<\/strong><\/p>\n<p style=\"line-height:1.7;\">The fundamental difference from chatbots like ChatGPT lies in three dimensions:<\/p>\n<div style=\"background:#eaecee;border-radius:8px;padding:1.5rem;margin:1.5rem 0;\">\n<table style=\"width:100%;border-collapse:collapse;\">\n<thead>\n<tr style=\"border-bottom:2px solid #2c3e50;\">\n<th style=\"padding:0.75rem;text-align:left;color:#ffffff;font-weight:600;\">Feature<\/th>\n<th style=\"padding:0.75rem;text-align:left;color:#ffffff;font-weight:600;\">Chatbot (e.g., ChatGPT)<\/th>\n<th style=\"padding:0.75rem;text-align:left;color:#ffffff;font-weight:600;\">AI Agent<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom:1px solid #cbd5e0;\">\n<td style=\"padding:0.75rem;\"><strong>Operation<\/strong><\/td>\n<td style=\"padding:0.75rem;\">Reactive \u2013 responds to inputs<\/td>\n<td style=\"padding:0.75rem;\">Autonomous \u2013 works on goals<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #cbd5e0;\">\n<td style=\"padding:0.75rem;\"><strong>Tools<\/strong><\/td>\n<td style=\"padding:0.75rem;\">None or very limited<\/td>\n<td style=\"padding:0.75rem;\">Access to browsers, APIs, file systems, databases<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #cbd5e0;\">\n<td style=\"padding:0.75rem;\"><strong>Persistence<\/strong><\/td>\n<td style=\"padding:0.75rem;\">Session-based, no long-term memory<\/td>\n<td style=\"padding:0.75rem;\">Continuous work, memory across sessions<\/td>\n<\/tr>\n<tr>\n<td style=\"padding:0.75rem;\"><strong>Complexity<\/strong><\/td>\n<td style=\"padding:0.75rem;\">Simple queries, FAQs<\/td>\n<td style=\"padding:0.75rem;\">Multi-step workflows, decision trees<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p style=\"line-height:1.7;\">An example from our daily work illustrates the difference: A chatbot can answer &#8220;What&#8217;s the weather tomorrow?&#8221; An AI agent can handle <em>&#8220;Create a list of all LinkedIn posts from our target audience on digitalization from the last 30 days, analyze the top 3 topics, and write a blog post draft about it&#8221;<\/em> \u2013 and executes it completely. No follow-up questions. No manual intermediate steps.<\/p>\n<p style=\"line-height:1.7;\">According to McKinsey (2025), <strong>23% of companies<\/strong> worldwide already use AI agents in at least one business function \u2013 with estimated value creation potential of <strong>$2.6 to $4.4 trillion annually<\/strong>.<\/p>\n<h2 id=\"openclaw-example\" style=\"color:#1e3a5f;margin-top:2.5rem;\">OpenClaw: Open-Source Framework for Autonomous Assistants<\/h2>\n<p style=\"line-height:1.7;\">Most AI agent solutions on the market are proprietary, expensive, and limited to specific use cases. <strong><a href=\"https:\/\/github.com\/openclaw\/openclaw\" target=\"_blank\" rel=\"noopener\" style=\"color:#1a5276;\">OpenClaw<\/a><\/strong> takes a different path: It&#8217;s an <strong>open-source framework<\/strong> that positions itself as a personal AI assistant \u2013 yet with enterprise capabilities.<\/p>\n<p style=\"line-height:1.7;\"><strong>What makes OpenClaw special:<\/strong><\/p>\n<ul style=\"line-height:1.7;\">\n<li><strong>Model-agnostic:<\/strong> Integration of Claude, GPT-4, Gemini, and other LLMs \u2013 you remain independent of individual providers<\/li>\n<li><strong>Multi-channel:<\/strong> Control via WhatsApp, Discord, Telegram, Signal, or directly via CLI<\/li>\n<li><strong>100+ AgentSkills:<\/strong> Pre-configured capabilities for shell commands, browser automation, file system management, web scraping, email, calendar, and more<\/li>\n<li><strong>Tool integration:<\/strong> Connection to APIs (GitHub, Google Workspace, Notion, CRM systems, WordPress, etc.)<\/li>\n<li><strong>Persistent memory:<\/strong> Context remains across sessions \u2013 the agent &#8220;remembers&#8221; previous conversations and tasks<\/li>\n<li><strong>Privacy-first:<\/strong> Self-hosted \u2013 your data stays on your servers<\/li>\n<\/ul>\n<p style=\"line-height:1.7;\">Unlike SaaS solutions like Microsoft Copilot or Salesforce Agentforce, with OpenClaw you have full control over data, workflows, and costs. Especially for <a href=\"https:\/\/pointofnew.at\/en\/glossary\/innovation-management\/\" style=\"color:#1a5276;text-decoration:none;border-bottom:1px dotted #1a5276;\">innovation-oriented<\/a> SMEs or consultancies working with sensitive client data, this is a decisive advantage.<\/p>\n<p style=\"line-height:1.7;\">According to <a href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2025-08-26-gartner-predicts-40-percent-of-enterprise-apps-will-feature-task-specific-ai-agents-by-2026-up-from-less-than-5-percent-in-2025\" target=\"_blank\" rel=\"noopener\" style=\"color:#1a5276;\">Gartner<\/a>, by the end of 2026, <strong>40% of all enterprise applications<\/strong> will have integrated AI agents \u2013 compared to less than 5% in 2025. Those who now rely on open, flexible frameworks gain an advantage.<\/p>\n<h2 id=\"practical-use\" style=\"color:#1e3a5f;margin-top:2.5rem;\">How We Use AI Agents in Consulting<\/h2>\n<p style=\"line-height:1.7;\">Theory is one thing. Practice is another. Here are concrete examples of how we use AI agents \u2013 specifically OpenClaw \u2013 at Point of New:<\/p>\n<h3 style=\"color:#2c3e50;margin-top:1.5rem;\">1. Content Creation and SEO Optimization<\/h3>\n<p style=\"line-height:1.7;\">Our AI agent automatically searches industry sources (trade blogs, LinkedIn Pulse, news sites), extracts relevant topics, analyzes search volumes via Semrush API, and creates structured blog post drafts including meta descriptions, internal links, and FAQ sections. This saves us <strong>approx. 8-12 hours per week<\/strong> \u2013 time we invest in strategic consulting.<\/p>\n<h3 style=\"color:#2c3e50;margin-top:1.5rem;\">2. Website Management<\/h3>\n<p style=\"line-height:1.7;\">WordPress site updates (publishing blog posts, updating plugins, checking broken links) run automatically. The agent accesses the CMS via API, executes defined tasks, and reports deviations. Manual interventions are only needed for exceptions.<\/p>\n<h3 style=\"color:#2c3e50;margin-top:1.5rem;\">3. Client Research and Lead Qualification<\/h3>\n<p style=\"line-height:1.7;\">Before client meetings, the agent automatically gathers information: company data (via business register API), current news, LinkedIn profiles of decision-makers, competitor analysis. The result: A <strong>structured briefing document in 5 minutes<\/strong> instead of hours of manual research.<\/p>\n<h3 style=\"color:#2c3e50;margin-top:1.5rem;\">4. Marketing Automation<\/h3>\n<p style=\"line-height:1.7;\">Social media posts, newsletter templates, and follow-up emails are created based on defined content and tone. The agent adapts to different channels (LinkedIn formal, Instagram casual) and suggests posting times.<\/p>\n<h3 style=\"color:#2c3e50;margin-top:1.5rem;\">5. Workshop Preparation and Documentation<\/h3>\n<p style=\"line-height:1.7;\">After workshops, the agent transcribes audio recordings, creates summaries, extracts action items, and sends personalized follow-ups to participants. This increases post-processing speed by a <strong>factor of 5-7<\/strong>.<\/p>\n<p style=\"line-height:1.7;\"><strong>Important:<\/strong> The agent doesn&#8217;t replace our expertise \u2013 it amplifies it. We define goals, quality criteria, and approval processes. The agent handles the time-intensive implementation.<\/p>\n<div style=\"background:linear-gradient(135deg,#1e3a5f,#2563eb);color:#fff;padding:2rem;border-radius:12px;margin:2rem 0;text-align:center;\">\n<h3 style=\"color:#fff;margin-top:0;\">AI Strategy for Your Business<\/h3>\n<p style=\"font-size:1.1rem;\">Want to know how AI agents can transform your processes? We advise you \u2014 hands-on and technology-agnostic.<\/p>\n<p><a href=\"https:\/\/pointofnew.at\/en\/contact\/\" style=\"display:inline-block;background:#fff;color:#1e3a5f;padding:0.75rem 2rem;border-radius:8px;text-decoration:none;font-weight:600;margin-top:0.5rem;\">Schedule Initial Consultation<\/a>\n<\/div>\n<h2 id=\"sme-impact\" style=\"color:#1e3a5f;margin-top:2.5rem;\">What This Means for SMEs: Efficiency, Scaling, Competitive Advantage<\/h2>\n<p style=\"line-height:1.7;\">AI agents are no longer a privilege of corporations with million-dollar IT budgets. SMEs benefit disproportionately because they can deploy <a href=\"https:\/\/pointofnew.at\/en\/glossary\/marketing-automation\/\" style=\"color:#1a5276;text-decoration:none;border-bottom:1px dotted #1a5276;\">automation<\/a> where previously only manual work or expensive software licenses were possible.<\/p>\n<p style=\"line-height:1.7;\"><strong>Concrete benefits:<\/strong><\/p>\n<ul style=\"line-height:1.7;\">\n<li><strong>Scaling without headcount:<\/strong> A 5-person team can achieve the output of a 15-person team \u2013 through intelligent automation of recurring tasks<\/li>\n<li><strong>24\/7 availability:<\/strong> Agents work outside business hours \u2013 research runs overnight, reports are ready in the morning<\/li>\n<li><strong>Cost efficiency:<\/strong> Open-source frameworks like OpenClaw primarily incur server and API costs (approx. \u20ac50-200\/month for medium usage) instead of SaaS licenses from \u20ac500+ per user<\/li>\n<li><strong>Competitive advantage:<\/strong> Faster time-to-market for content, proposals, analyses \u2013 while competitors still work manually<\/li>\n<li><strong>Error reduction:<\/strong> Automated processes are more consistent than manual ones \u2013 fewer careless mistakes, more quality<\/li>\n<\/ul>\n<p style=\"line-height:1.7;\">An <a href=\"https:\/\/www.ibm.com\/think\/news\/ai-tech-trends-predictions-2026\" target=\"_blank\" rel=\"noopener\" style=\"color:#1a5276;\">IBM report (2026)<\/a> shows: Companies using AI agents report <strong>an average 6.7% higher customer satisfaction<\/strong> and <strong>90% more efficient workflows<\/strong> in automated areas.<\/p>\n<p style=\"line-height:1.7;\">The strategic question is no longer <em>&#8220;Can we afford AI?&#8221;<\/em> but <em>&#8220;Can we afford to work without AI?&#8221;<\/em> \u2013 because competitors are already pulling ahead.<\/p>\n<h2 id=\"risks-limitations\" style=\"color:#1e3a5f;margin-top:2.5rem;\">Risks and Limitations: Where Human Control Remains Essential<\/h2>\n<p style=\"line-height:1.7;\">As promising as AI agents are \u2013 they&#8217;re not a panacea. Those who automate blindly risk more harm than good. From our experience, three risk areas are critical:<\/p>\n<h3 style=\"color:#2c3e50;margin-top:1.5rem;\">1. Hallucinations and Factual Errors<\/h3>\n<p style=\"line-height:1.7;\">AI models generate plausible-sounding but false information. For content with domain expertise (e.g., legal advice, technical specifications), <strong>human quality control is mandatory<\/strong>. We therefore rely on multi-stage reviews: Agent creates, human checks, agent optimizes.<\/p>\n<h3 style=\"color:#2c3e50;margin-top:1.5rem;\">2. Security Risks<\/h3>\n<p style=\"line-height:1.7;\">An agent with access to emails, files, and APIs is an attractive attack target. Prompt injection attacks (injected commands in data) can manipulate agents. Therefore: <strong>Keep access rights minimal<\/strong>, use sandbox environments, monitor logs. OpenClaw offers more control through self-hosting than cloud SaaS.<\/p>\n<h3 style=\"color:#2c3e50;margin-top:1.5rem;\">3. Ethics and Responsibility<\/h3>\n<p style=\"line-height:1.7;\">Automation must not lead to dehumanization. Customer communication, strategic decisions, creative conceptualization \u2013 these remain human domains. Agents are <strong>assistants, not replacement consultants<\/strong>. Gartner predicts that <strong>40% of agentic AI projects will fail by 2027<\/strong> \u2013 mostly due to unclear business value arguments or lack of governance.<\/p>\n<p style=\"line-height:1.7;\">Our recommendation: Start with <strong>low-risk use cases<\/strong> (e.g., internal research, reporting, content drafts), gain experience, define clear approval processes \u2013 and then scale step by step.<\/p>\n<h3 style=\"color:#2c3e50;margin-top:2rem;\">FAQ: Common Questions About AI Agents in Business Consulting<\/h3>\n<details style=\"background:#eaecee;border-radius:8px;padding:0;margin-bottom:0.75rem;\">\n<summary style=\"padding:1rem 1.2rem;font-weight:600;cursor:pointer;color:#2c3e50;list-style:none;\">Do I need programming skills to use OpenClaw?<\/summary>\n<div style=\"padding:0 1.2rem 1rem;\">Basic programming knowledge (shell, APIs, Python) is helpful but not mandatory. OpenClaw offers pre-configured AgentSkills activated via simple commands. For complex custom workflows, technical support is recommended \u2013 or consultation with experts like us.<\/div>\n<\/details>\n<details style=\"background:#eaecee;border-radius:8px;padding:0;margin-bottom:0.75rem;\">\n<summary style=\"padding:1rem 1.2rem;font-weight:600;cursor:pointer;color:#2c3e50;list-style:none;\">How does OpenClaw differ from Microsoft Copilot or ChatGPT Enterprise?<\/summary>\n<div style=\"padding:0 1.2rem 1rem;\">OpenClaw is open source, self-hosted, and model-agnostic. You have full control over data, workflows, and costs. Copilot\/ChatGPT are SaaS solutions with fixed models and cloud dependency. OpenClaw is particularly suitable for SMEs with privacy requirements or individual processes.<\/div>\n<\/details>\n<details style=\"background:#eaecee;border-radius:8px;padding:0;margin-bottom:0.75rem;\">\n<summary style=\"padding:1rem 1.2rem;font-weight:600;cursor:pointer;color:#2c3e50;list-style:none;\">What costs arise when using AI agents?<\/summary>\n<div style=\"padding:0 1.2rem 1rem;\">Main costs are: (1) Server hosting (\u20ac20-100\/month depending on size), (2) API costs for LLMs like Claude\/GPT-4 (\u20ac50-300\/month with medium usage), (3) optional tool APIs (e.g., Semrush, CRM integrations). Open-source frameworks like OpenClaw itself are free. Total costs typically range \u20ac100-500\/month \u2013 well below SaaS enterprise licenses.<\/div>\n<\/details>\n<details style=\"background:#eaecee;border-radius:8px;padding:0;margin-bottom:0.75rem;\">\n<summary style=\"padding:1rem 1.2rem;font-weight:600;cursor:pointer;color:#2c3e50;list-style:none;\">How do I ensure the agent doesn&#8217;t spread false information?<\/summary>\n<div style=\"padding:0 1.2rem 1rem;\">Through multi-stage quality assurance: (1) Agent creates draft, (2) human review process checks facts, (3) approval before publication. For critical areas (law, finance, health), agents should only serve as research assistants, with final decisions remaining with the expert.<\/div>\n<\/details>\n<details style=\"background:#eaecee;border-radius:8px;padding:0;margin-bottom:0.75rem;\">\n<summary style=\"padding:1rem 1.2rem;font-weight:600;cursor:pointer;color:#2c3e50;list-style:none;\">Can I use AI agents for customer communication?<\/summary>\n<div style=\"padding:0 1.2rem 1rem;\">Yes, but with caution. For standard inquiries (FAQs, appointments, info material sending) it works well. For complex consulting conversations, negotiations, or sensitive topics, a human should always be involved. Transparency is important \u2013 customers should know when they&#8217;re interacting with an agent.<\/div>\n<\/details>\n<div style=\"margin-top:2rem;padding-top:1.5rem;border-top:1px solid #e5e7eb;\">\n<p style=\"font-size:1.1rem;font-weight:600;color:#374151;margin-bottom:1rem;\">Related Terms:<\/p>\n<div style=\"display:flex;flex-wrap:wrap;gap:0.5rem;\">\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/ai-strategy-for-companies\/\" style=\"display:inline-block;padding:0.5rem 1rem;background:#f3f4f6;border-radius:9999px;color:#1a5276;text-decoration:none;font-size:0.9rem;\">AI Strategy for Companies<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/digital-transformation\/\" style=\"display:inline-block;padding:0.5rem 1rem;background:#f3f4f6;border-radius:9999px;color:#1a5276;text-decoration:none;font-size:0.9rem;\">Digital Transformation<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/innovation-management\/\" style=\"display:inline-block;padding:0.5rem 1rem;background:#f3f4f6;border-radius:9999px;color:#1a5276;text-decoration:none;font-size:0.9rem;\">Innovation Management<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/glossary\/innovation-process\/\" style=\"display:inline-block;padding:0.5rem 1rem;background:#f3f4f6;border-radius:9999px;color:#1a5276;text-decoration:none;font-size:0.9rem;\">Innovation Process<\/a>\n<\/div>\n<\/div>\n<div style=\"margin-top:2rem;padding-top:1.5rem;border-top:1px solid #e5e7eb;\">\n<p style=\"font-size:1.1rem;font-weight:600;color:#374151;margin-bottom:0.75rem;\">Further Reading:<\/p>\n<div style=\"display:flex;flex-direction:column;gap:0.25rem;\">\n<a href=\"https:\/\/pointofnew.at\/en\/blog\/ai-strategy-for-enterprises-5-step-roadmap-to-success\/\" style=\"color:#1a5276;text-decoration:none;font-size:0.95rem;\">\u2192 AI Strategy for Enterprises: 5-Step Roadmap to Success<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/blog\/digital-transformation-sme-2026\/\" style=\"color:#1a5276;text-decoration:none;font-size:0.95rem;\">\u2192 Digital Transformation for SMEs: Where Do We Stand in 2026?<\/a><br \/>\n<a href=\"https:\/\/pointofnew.at\/en\/blog\/innovation-process-the-5-phases-of-successful-innovation-in-companies\/\" style=\"color:#1a5276;text-decoration:none;font-size:0.95rem;\">\u2192 Innovation Process: The 5 Phases of Successful Innovation in Companies<\/a>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Real-world insights: How AI agents are transforming innovation consulting and what it means for advisors and clients.<\/p>\n","protected":false},"author":1,"featured_media":28405,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[222],"tags":[],"class_list":["post-28380","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-digitale-transformation"],"featured_image_src":"https:\/\/pointofnew.at\/wp-content\/uploads\/2026\/03\/featured-ki-agents-en-1.png","author_info":{"display_name":"DI (FH) Benedikt Hasibeder","author_link":"https:\/\/pointofnew.at\/en\/blog\/author\/methodman\/"},"_links":{"self":[{"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/posts\/28380","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/comments?post=28380"}],"version-history":[{"count":2,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/posts\/28380\/revisions"}],"predecessor-version":[{"id":28627,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/posts\/28380\/revisions\/28627"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/media\/28405"}],"wp:attachment":[{"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/media?parent=28380"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/categories?post=28380"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pointofnew.at\/en\/wp-json\/wp\/v2\/tags?post=28380"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}