Table of Contents<\/h2>\n\n\n\n\n- Why Most Business Phone Systems Look the Same But Work Very Differently<\/a><\/li>\n\n\n\n
- What Are Aircall and Dialpad? (And Why They Get Confused So Often)<\/a><\/li>\n\n\n\n
- Aircall vs Dialpad: Honest Differences in Real Business Use<\/a><\/li>\n\n\n\n
- How to Choose Between Aircall and Dialpad (Based on Your Team\u2019s Needs)<\/a><\/li>\n\n\n\n
- Neither Works? Upgrade How Your Business Handles Voice Communication With Voice AI<\/a><\/li>\n<\/ol>\n\n\n\n
Summary<\/h2>\n\n\n\n\n- Most cloud phone systems share similar feature lists, but business outcomes diverge sharply depending on the underlying architecture. Systems that look identical in demos can optimize for completely different priorities. Sales-focused platforms route hot leads to senior closers in under two seconds, while support-oriented systems distribute ticket volume to prevent backlog spikes. Research on VoIP adoption patterns shows businesses underestimate transition friction by orders of magnitude, and the real cost isn’t the monthly subscription but the six months of degraded performance while teams adjust to mismatched workflow assumptions.<\/li>\n\n\n\n
- Dialpad starts at $15 per user per month, compared to Aircall’s $30 baseline, but the pricing structures reflect fundamentally different philosophies. Dialpad bundles unlimited calling, real-time transcription, video conferencing, and messaging into the base tier, betting teams prefer lower upfront costs with more included features. Aircall strips advanced routing and integrations from the entry plan, locking them behind a $50 tier, then adds AI summaries at $9 per license and analytics at an additional $15. Teams that need deep customization control costs incrementally with Aircall, while Dialpad’s included features reduce decision fatigue but limit \u00e0 la carte flexibility.<\/li>\n\n\n\n
- Dialpad’s AI runs during active calls with live transcription, speaker differentiation, and sentiment analysis that lets managers intervene before conversations end. Aircall’s AI focuses on post-call analysis, delivering transcripts and summaries after interactions finish to support QA workflows and coaching reviews. The split reveals whether your bottleneck is in-the-moment decision-making or retrospective CRM accuracy and compliance documentation. High-stakes sales calls benefit from Dialpad’s real-time prompts, while teams prioritizing training and audit trails get more value from Aircall’s structured summaries.<\/li>\n\n\n\n
- Aircall’s SmartFlow Editor supports complex multi-level IVR flows with holiday-specific logic and queue prioritization based on wait time, making it ideal for scenarios where routing rules change frequently. Dialpad assumes teams need flexibility during active calls, offering call flipping between devices, three-way calling, whisper coaching, and in-call screen sharing, which Aircall doesn’t match. Queue management on Dialpad supports up to 50 callers with real-time position updates, while Aircall’s simpler controls create visibility gaps when call volume spikes unexpectedly.<\/li>\n\n\n\n
- Traditional phone systems require human agents to handle repetitive qualification calls, appointment scheduling, and basic information requests, regardless of platform sophistication. Migration costs extend beyond subscription fees to include broken workflows, rebuilt integrations, and relearned muscle memory, creating compounding drag on revenue teams. Missed calls become lost deals, poor routing creates support backlogs, and agents expend cognitive energy fighting tools rather than serving customers during the adjustment period.<\/li>\n\n\n\n
- AI voice agents<\/a> sit on top of existing phone infrastructure, handling high-volume inbound and outbound interactions with sub-second latency, integrating with platforms like Aircall or Dialpad to automate qualification, scheduling, and data entry, while routing complex conversations to human agents with full context already captured.<\/li>\n<\/ul>\n\n\n\n
Why Most Business Phone Systems Look the Same But Work Very Differently<\/h2>\n\n\n\n
Every business phone system<\/strong> promises the same<\/em> features: call routing<\/strong><\/a>, CRM integrations<\/strong>, analytics dashboards<\/strong>, and mobile apps<\/strong>. Yet results differ dramatically. One company closes deals faster<\/strong>, while another loses prospects to voicemail<\/strong><\/a>. The same<\/em> tools yield opposite results<\/strong>.<\/p>\n\n\n\n![\"Split](\"https:\/\/voice.ai\/hub\/wp-content\/uploads\/2026\/05\/image-437.png\")
<\/figure>\n\n\n\n\ud83c\udfaf Key Point:<\/strong> Feature similarity doesn’t guarantee performance equality – the implementation<\/em> and underlying technology make all the difference.<\/p>\n\n\n\nCloud phone platforms<\/strong> look similar<\/em>. They all route calls<\/strong><\/a>, claim “seamless integrations<\/strong>,” and display real-time metrics<\/strong><\/a>. On the surface, switching between them seems like choosing between two identical coffee makers<\/strong>.<\/p>\n\n\n\n![\"Scale](\"https:\/\/voice.ai\/hub\/wp-content\/uploads\/2026\/05\/image-438.png\")
<\/figure>\n\n\n\n“The difference between phone systems isn’t in their feature lists<\/strong> – it’s in how those features actually perform when your business depends on them.”<\/p>\n\n\n\n\u26a0\ufe0f Warning:<\/strong> Don’t fall for the “feature checklist<\/strong>” trap – identical<\/em> feature lists can hide vastly different<\/strong> user experiences and business outcomes.<\/p>\n\n\n\n![\"Infographic](\"https:\/\/voice.ai\/hub\/wp-content\/uploads\/2026\/05\/image-439.png\")
<\/figure>\n\n\n\nWhat hidden factors determine system performance?<\/h3>\n\n\n\n
What you can’t see from the demo call matters more than what you can. Some systems prioritize speed, routing hot leads to available reps in under two seconds. Others focus on support efficiency, distributing ticket volume across queues to prevent backlog spikes. A few specialize in AI intelligence<\/a>, transcribing calls, and surfacing intent signals. Others excel at workflow automation<\/a>, triggering follow-up sequences upon call end.<\/p>\n\n\n\nHow do different teams require different architectures?<\/h4>\n\n\n\n
The same dashboard conceals different decision engines. A sales team<\/a> needs instant connection, minimal wait time, and intelligent lead scoring that routes high-value prospects to senior closers. A support operation needs fair distribution, skill-based routing<\/a>, and callback queues that don’t penalize customers for long hold times.<\/p>\n\n\n\nAn enterprise compliance team needs on-premise deployment, encrypted call recording, and audit trails that satisfy regulators across jurisdictions. These structural requirements determine whether the system accelerates your work or undermines it.<\/p>\n\n\n\n
Why are switching costs so high for phone systems?<\/h3>\n\n\n\n
Moving to a new phone system isn’t like switching email providers. Every workflow breaks. Integrations need to be rebuilt from scratch. Teams must relearn muscle memory<\/a>. According to research on VoIP adoption patterns<\/a>, businesses significantly underestimate the difficulty of the switch.<\/p>\n\n\n\nA bad system choice creates ongoing problems: missed calls become lost deals, poor routing creates support backlogs, and agents waste mental energy fighting the tool instead of helping customers.<\/p>\n\n\n\n
What are the hidden costs of a bad phone system choice?<\/h4>\n\n\n\n
The real cost is six months of worse performance while your team adapts. It’s deals that slip through because routing logic<\/a> doesn’t match how you sell. It’s support tickets that escalate<\/a> because the system routed a frustrated customer to a new agent without context.<\/p>\n\n\n\nThese are predictable outcomes when system design mismatches your goals. But here’s what makes the choice harder still.<\/p>\n\n\n\n
Related Reading<\/h3>\n\n\n\n\n- Best Ai Answering Service For Small Business<\/a><\/li>\n\n\n\n
- What is an Answering Service<\/a><\/li>\n\n\n\n
- How To Handle Inbound Calls<\/a><\/li>\n\n\n\n
- On-Premise vs. Cloud Contact Center<\/a><\/li>\n\n\n\n
- How To Improve Response Time to Customers<\/a><\/li>\n\n\n\n
- Contact Center Roi<\/a><\/li>\n\n\n\n
- High Call Volume<\/a><\/li>\n\n\n\n
- How To Scale Customer Support<\/a><\/li>\n\n\n\n
- Ai Answering Service Cost<\/a><\/li>\n\n\n\n
- Call Routing For Small Business<\/a><\/li>\n\n\n\n
- How To Automate Phone Calls<\/a><\/li>\n\n\n\n
- Best Virtual Receptionists<\/a><\/li>\n<\/ul>\n\n\n\n
What Are Aircall and Dialpad? (And Why They Get Confused So Often)<\/h2>\n\n\n\n
Aircall<\/strong> is a cloud phone system<\/strong> built around CRM workflows<\/strong> for sales and support teams<\/strong> needing calling integrated with tools like HubSpot<\/strong>, Salesforce<\/strong>, and Zendesk<\/strong>. Dialpad<\/strong> is an AI-first unified communications platform<\/strong> combining voice<\/strong>, video<\/strong>, and messaging<\/strong> with transcription<\/strong> and real-time coaching<\/a>. Both replace traditional desk phones with browser-based calling,<\/strong> but serve different purposes.<\/p>\n\n\n\n![\"Two](\"https:\/\/voice.ai\/hub\/wp-content\/uploads\/2026\/05\/image-440.png\")
<\/figure>\n\n\n\n\ud83c\udfaf Key Point:<\/strong> While both platforms eliminate the need for physical desk phones<\/strong>, Aircall<\/strong> focuses on deep<\/em> CRM integration<\/strong> for sales workflows, while Dialpad<\/strong> prioritizes AI-powered features<\/strong> and unified communications<\/strong>.<\/p>\n\n\n\n“Cloud-based phone systems<\/strong> have become essential for modern businesses, with 85%<\/strong> of companies reporting improved customer satisfaction<\/strong> after switching from traditional phone systems.” \u2014 Business Communications Review, 2023<\/p>\n\n\n\n![\"Split](\"https:\/\/voice.ai\/hub\/wp-content\/uploads\/2026\/05\/image-441.png\")
<\/figure>\n\n\n\n\ud83d\udca1 Quick Comparison:<\/strong> Think of Aircall<\/strong> as your specialized<\/em> sales dialer<\/strong> that lives inside your CRM<\/strong>, while Dialpad<\/strong> is your complete<\/em> office phone replacement<\/strong> with AI superpowers<\/strong> built in.<\/p>\n\n\n\n![\"Comparison](\"https:\/\/voice.ai\/hub\/wp-content\/uploads\/2026\/05\/image-442.png\")
<\/figure>\n\n\n\n
Summary<\/h2>\n\n\n\n\n- Most cloud phone systems share similar feature lists, but business outcomes diverge sharply depending on the underlying architecture. Systems that look identical in demos can optimize for completely different priorities. Sales-focused platforms route hot leads to senior closers in under two seconds, while support-oriented systems distribute ticket volume to prevent backlog spikes. Research on VoIP adoption patterns shows businesses underestimate transition friction by orders of magnitude, and the real cost isn’t the monthly subscription but the six months of degraded performance while teams adjust to mismatched workflow assumptions.<\/li>\n\n\n\n
- Dialpad starts at $15 per user per month, compared to Aircall’s $30 baseline, but the pricing structures reflect fundamentally different philosophies. Dialpad bundles unlimited calling, real-time transcription, video conferencing, and messaging into the base tier, betting teams prefer lower upfront costs with more included features. Aircall strips advanced routing and integrations from the entry plan, locking them behind a $50 tier, then adds AI summaries at $9 per license and analytics at an additional $15. Teams that need deep customization control costs incrementally with Aircall, while Dialpad’s included features reduce decision fatigue but limit \u00e0 la carte flexibility.<\/li>\n\n\n\n
- Dialpad’s AI runs during active calls with live transcription, speaker differentiation, and sentiment analysis that lets managers intervene before conversations end. Aircall’s AI focuses on post-call analysis, delivering transcripts and summaries after interactions finish to support QA workflows and coaching reviews. The split reveals whether your bottleneck is in-the-moment decision-making or retrospective CRM accuracy and compliance documentation. High-stakes sales calls benefit from Dialpad’s real-time prompts, while teams prioritizing training and audit trails get more value from Aircall’s structured summaries.<\/li>\n\n\n\n
- Aircall’s SmartFlow Editor supports complex multi-level IVR flows with holiday-specific logic and queue prioritization based on wait time, making it ideal for scenarios where routing rules change frequently. Dialpad assumes teams need flexibility during active calls, offering call flipping between devices, three-way calling, whisper coaching, and in-call screen sharing, which Aircall doesn’t match. Queue management on Dialpad supports up to 50 callers with real-time position updates, while Aircall’s simpler controls create visibility gaps when call volume spikes unexpectedly.<\/li>\n\n\n\n
- Traditional phone systems require human agents to handle repetitive qualification calls, appointment scheduling, and basic information requests, regardless of platform sophistication. Migration costs extend beyond subscription fees to include broken workflows, rebuilt integrations, and relearned muscle memory, creating compounding drag on revenue teams. Missed calls become lost deals, poor routing creates support backlogs, and agents expend cognitive energy fighting tools rather than serving customers during the adjustment period.<\/li>\n\n\n\n
- AI voice agents<\/a> sit on top of existing phone infrastructure, handling high-volume inbound and outbound interactions with sub-second latency, integrating with platforms like Aircall or Dialpad to automate qualification, scheduling, and data entry, while routing complex conversations to human agents with full context already captured.<\/li>\n<\/ul>\n\n\n\n
Why Most Business Phone Systems Look the Same But Work Very Differently<\/h2>\n\n\n\n
Every business phone system<\/strong> promises the same<\/em> features: call routing<\/strong><\/a>, CRM integrations<\/strong>, analytics dashboards<\/strong>, and mobile apps<\/strong>. Yet results differ dramatically. One company closes deals faster<\/strong>, while another loses prospects to voicemail<\/strong><\/a>. The same<\/em> tools yield opposite results<\/strong>.<\/p>\n\n\n\n<\/figure>\n\n\n\n\ud83c\udfaf Key Point:<\/strong> Feature similarity doesn’t guarantee performance equality – the implementation<\/em> and underlying technology make all the difference.<\/p>\n\n\n\nCloud phone platforms<\/strong> look similar<\/em>. They all route calls<\/strong><\/a>, claim “seamless integrations<\/strong>,” and display real-time metrics<\/strong><\/a>. On the surface, switching between them seems like choosing between two identical coffee makers<\/strong>.<\/p>\n\n\n\n<\/figure>\n\n\n\n“The difference between phone systems isn’t in their feature lists<\/strong> – it’s in how those features actually perform when your business depends on them.”<\/p>\n\n\n\n\u26a0\ufe0f Warning:<\/strong> Don’t fall for the “feature checklist<\/strong>” trap – identical<\/em> feature lists can hide vastly different<\/strong> user experiences and business outcomes.<\/p>\n\n\n\n<\/figure>\n\n\n\nWhat hidden factors determine system performance?<\/h3>\n\n\n\n
What you can’t see from the demo call matters more than what you can. Some systems prioritize speed, routing hot leads to available reps in under two seconds. Others focus on support efficiency, distributing ticket volume across queues to prevent backlog spikes. A few specialize in AI intelligence<\/a>, transcribing calls, and surfacing intent signals. Others excel at workflow automation<\/a>, triggering follow-up sequences upon call end.<\/p>\n\n\n\nHow do different teams require different architectures?<\/h4>\n\n\n\n
The same dashboard conceals different decision engines. A sales team<\/a> needs instant connection, minimal wait time, and intelligent lead scoring that routes high-value prospects to senior closers. A support operation needs fair distribution, skill-based routing<\/a>, and callback queues that don’t penalize customers for long hold times.<\/p>\n\n\n\nAn enterprise compliance team needs on-premise deployment, encrypted call recording, and audit trails that satisfy regulators across jurisdictions. These structural requirements determine whether the system accelerates your work or undermines it.<\/p>\n\n\n\n
Why are switching costs so high for phone systems?<\/h3>\n\n\n\n
Moving to a new phone system isn’t like switching email providers. Every workflow breaks. Integrations need to be rebuilt from scratch. Teams must relearn muscle memory<\/a>. According to research on VoIP adoption patterns<\/a>, businesses significantly underestimate the difficulty of the switch.<\/p>\n\n\n\nA bad system choice creates ongoing problems: missed calls become lost deals, poor routing creates support backlogs, and agents waste mental energy fighting the tool instead of helping customers.<\/p>\n\n\n\n
What are the hidden costs of a bad phone system choice?<\/h4>\n\n\n\n
The real cost is six months of worse performance while your team adapts. It’s deals that slip through because routing logic<\/a> doesn’t match how you sell. It’s support tickets that escalate<\/a> because the system routed a frustrated customer to a new agent without context.<\/p>\n\n\n\nThese are predictable outcomes when system design mismatches your goals. But here’s what makes the choice harder still.<\/p>\n\n\n\n
Related Reading<\/h3>\n\n\n\n\n- Best Ai Answering Service For Small Business<\/a><\/li>\n\n\n\n
- What is an Answering Service<\/a><\/li>\n\n\n\n
- How To Handle Inbound Calls<\/a><\/li>\n\n\n\n
- On-Premise vs. Cloud Contact Center<\/a><\/li>\n\n\n\n
- How To Improve Response Time to Customers<\/a><\/li>\n\n\n\n
- Contact Center Roi<\/a><\/li>\n\n\n\n
- High Call Volume<\/a><\/li>\n\n\n\n
- How To Scale Customer Support<\/a><\/li>\n\n\n\n
- Ai Answering Service Cost<\/a><\/li>\n\n\n\n
- Call Routing For Small Business<\/a><\/li>\n\n\n\n
- How To Automate Phone Calls<\/a><\/li>\n\n\n\n
- Best Virtual Receptionists<\/a><\/li>\n<\/ul>\n\n\n\n
What Are Aircall and Dialpad? (And Why They Get Confused So Often)<\/h2>\n\n\n\n
Aircall<\/strong> is a cloud phone system<\/strong> built around CRM workflows<\/strong> for sales and support teams<\/strong> needing calling integrated with tools like HubSpot<\/strong>, Salesforce<\/strong>, and Zendesk<\/strong>. Dialpad<\/strong> is an AI-first unified communications platform<\/strong> combining voice<\/strong>, video<\/strong>, and messaging<\/strong> with transcription<\/strong> and real-time coaching<\/a>. Both replace traditional desk phones with browser-based calling,<\/strong> but serve different purposes.<\/p>\n\n\n\n<\/figure>\n\n\n\n\ud83c\udfaf Key Point:<\/strong> While both platforms eliminate the need for physical desk phones<\/strong>, Aircall<\/strong> focuses on deep<\/em> CRM integration<\/strong> for sales workflows, while Dialpad<\/strong> prioritizes AI-powered features<\/strong> and unified communications<\/strong>.<\/p>\n\n\n\n“Cloud-based phone systems<\/strong> have become essential for modern businesses, with 85%<\/strong> of companies reporting improved customer satisfaction<\/strong> after switching from traditional phone systems.” \u2014 Business Communications Review, 2023<\/p>\n\n\n\n<\/figure>\n\n\n\n\ud83d\udca1 Quick Comparison:<\/strong> Think of Aircall<\/strong> as your specialized<\/em> sales dialer<\/strong> that lives inside your CRM<\/strong>, while Dialpad<\/strong> is your complete<\/em> office phone replacement<\/strong> with AI superpowers<\/strong> built in.<\/p>\n\n\n\n<\/figure>\n\n\n\n
Why Most Business Phone Systems Look the Same But Work Very Differently<\/h2>\n\n\n\n
Every business phone system<\/strong> promises the same<\/em> features: call routing<\/strong><\/a>, CRM integrations<\/strong>, analytics dashboards<\/strong>, and mobile apps<\/strong>. Yet results differ dramatically. One company closes deals faster<\/strong>, while another loses prospects to voicemail<\/strong><\/a>. The same<\/em> tools yield opposite results<\/strong>.<\/p>\n\n\n\n \ud83c\udfaf Key Point:<\/strong> Feature similarity doesn’t guarantee performance equality – the implementation<\/em> and underlying technology make all the difference.<\/p>\n\n\n\n Cloud phone platforms<\/strong> look similar<\/em>. They all route calls<\/strong><\/a>, claim “seamless integrations<\/strong>,” and display real-time metrics<\/strong><\/a>. On the surface, switching between them seems like choosing between two identical coffee makers<\/strong>.<\/p>\n\n\n\n “The difference between phone systems isn’t in their feature lists<\/strong> – it’s in how those features actually perform when your business depends on them.”<\/p>\n\n\n\n \u26a0\ufe0f Warning:<\/strong> Don’t fall for the “feature checklist<\/strong>” trap – identical<\/em> feature lists can hide vastly different<\/strong> user experiences and business outcomes.<\/p>\n\n\n\n What you can’t see from the demo call matters more than what you can. Some systems prioritize speed, routing hot leads to available reps in under two seconds. Others focus on support efficiency, distributing ticket volume across queues to prevent backlog spikes. A few specialize in AI intelligence<\/a>, transcribing calls, and surfacing intent signals. Others excel at workflow automation<\/a>, triggering follow-up sequences upon call end.<\/p>\n\n\n\n The same dashboard conceals different decision engines. A sales team<\/a> needs instant connection, minimal wait time, and intelligent lead scoring that routes high-value prospects to senior closers. A support operation needs fair distribution, skill-based routing<\/a>, and callback queues that don’t penalize customers for long hold times.<\/p>\n\n\n\n An enterprise compliance team needs on-premise deployment, encrypted call recording, and audit trails that satisfy regulators across jurisdictions. These structural requirements determine whether the system accelerates your work or undermines it.<\/p>\n\n\n\n Moving to a new phone system isn’t like switching email providers. Every workflow breaks. Integrations need to be rebuilt from scratch. Teams must relearn muscle memory<\/a>. According to research on VoIP adoption patterns<\/a>, businesses significantly underestimate the difficulty of the switch.<\/p>\n\n\n\n A bad system choice creates ongoing problems: missed calls become lost deals, poor routing creates support backlogs, and agents waste mental energy fighting the tool instead of helping customers.<\/p>\n\n\n\n The real cost is six months of worse performance while your team adapts. It’s deals that slip through because routing logic<\/a> doesn’t match how you sell. It’s support tickets that escalate<\/a> because the system routed a frustrated customer to a new agent without context.<\/p>\n\n\n\n These are predictable outcomes when system design mismatches your goals. But here’s what makes the choice harder still.<\/p>\n\n\n\n Aircall<\/strong> is a cloud phone system<\/strong> built around CRM workflows<\/strong> for sales and support teams<\/strong> needing calling integrated with tools like HubSpot<\/strong>, Salesforce<\/strong>, and Zendesk<\/strong>. Dialpad<\/strong> is an AI-first unified communications platform<\/strong> combining voice<\/strong>, video<\/strong>, and messaging<\/strong> with transcription<\/strong> and real-time coaching<\/a>. Both replace traditional desk phones with browser-based calling,<\/strong> but serve different purposes.<\/p>\n\n\n\n \ud83c\udfaf Key Point:<\/strong> While both platforms eliminate the need for physical desk phones<\/strong>, Aircall<\/strong> focuses on deep<\/em> CRM integration<\/strong> for sales workflows, while Dialpad<\/strong> prioritizes AI-powered features<\/strong> and unified communications<\/strong>.<\/p>\n\n\n\n “Cloud-based phone systems<\/strong> have become essential for modern businesses, with 85%<\/strong> of companies reporting improved customer satisfaction<\/strong> after switching from traditional phone systems.” \u2014 Business Communications Review, 2023<\/p>\n\n\n\n \ud83d\udca1 Quick Comparison:<\/strong> Think of Aircall<\/strong> as your specialized<\/em> sales dialer<\/strong> that lives inside your CRM<\/strong>, while Dialpad<\/strong> is your complete<\/em> office phone replacement<\/strong> with AI superpowers<\/strong> built in.<\/p>\n\n\n\n<\/figure>\n\n\n\n<\/figure>\n\n\n\n<\/figure>\n\n\n\nWhat hidden factors determine system performance?<\/h3>\n\n\n\n
How do different teams require different architectures?<\/h4>\n\n\n\n
Why are switching costs so high for phone systems?<\/h3>\n\n\n\n
What are the hidden costs of a bad phone system choice?<\/h4>\n\n\n\n
Related Reading<\/h3>\n\n\n\n
\n
What Are Aircall and Dialpad? (And Why They Get Confused So Often)<\/h2>\n\n\n\n
<\/figure>\n\n\n\n<\/figure>\n\n\n\n<\/figure>\n\n\n\n
![\"Balance](\"https:\/\/voice.ai\/hub\/wp-content\/uploads\/2026\/05\/image-443.png\")
<\/figure>\n\n\n\n![\"Split](\"https:\/\/voice.ai\/hub\/wp-content\/uploads\/2026\/05\/image-444.png\")
<\/figure>\n\n\n\n![\"Comparison](\"https:\/\/voice.ai\/hub\/wp-content\/uploads\/2026\/05\/image-445.png\")
<\/figure>\n\n\n\n