{"id":7516,"date":"2026-06-11T05:03:58","date_gmt":"2026-06-11T05:03:58","guid":{"rendered":"https:\/\/www.coffee.ai\/articles\/best-ai-crm-alternatives-2026"},"modified":"2026-06-11T05:03:58","modified_gmt":"2026-06-11T05:03:58","slug":"best-ai-crm-alternatives-2026","status":"publish","type":"post","link":"https:\/\/www.coffee.ai\/articles\/best-ai-crm-alternatives-2026","title":{"rendered":"Best AI-Powered CRM Alternatives to Salesforce &amp; HubSpot"},"content":{"rendered":"<p><em>Written by: Doug Camplejohn, CEO &amp; Co-Founder, Coffee<\/em><\/p>\n<h2>Key Takeaways for AI Agent CRMs in 2026<\/h2>\n<ul>\n<li>\n<p>AI agent CRMs autonomously capture and structure customer data in real time, which removes manual entry work for sales reps.<\/p>\n<\/li>\n<li>\n<p>Traditional CRMs like Salesforce and HubSpot still require significant manual effort, which often produces inaccurate data and lost revenue.<\/p>\n<\/li>\n<li>\n<p>Evaluating AI-powered CRMs in 2026 means assessing data quality, implementation speed, admin time saved, integrations, reporting, pricing, and scalability.<\/p>\n<\/li>\n<li>\n<p>Coffee stands out by reclaiming 8\u201312 hours per rep weekly through autonomous contact creation, activity logging, and enrichment.<\/p>\n<\/li>\n<li>\n<p>Teams ready to eliminate manual CRM work can <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/www.coffee.ai\/pricing\">review Coffee\u2019s pricing and plans<\/a> today.<\/p>\n<\/li>\n<\/ul>\n<h2>What Is an AI Agent CRM?<\/h2>\n<p>An AI agent CRM is a system that autonomously captures, enriches, and structures customer data without human input, logging emails, calls, and calendar events in real time. Unlike a passive CRM that stores only what a rep manually enters, an AI agent CRM continuously senses signals, reasons over them, and acts within defined guardrails to keep records accurate and pipeline intelligence reliable.<\/p>\n<h2>Will AI Replace Salesforce CRM?<\/h2>\n<p>AI will not eliminate Salesforce outright, but it is eroding the core justification for tolerating its complexity. A standard Salesforce deployment takes 3\u20136 months and <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/www.getclientell.com\/salesforce-blogs\/salesforce-admin-cost-guide\">annual admin costs for a 50-user team are typically $150,000\u2013$250,000<\/a>, while newer agent-first platforms reach value in days. The table below isolates the three metrics that determine total cost of ownership in the first year: how long before the platform delivers value, how much ongoing labor it requires, and how much manual work it removes from reps\u2019 daily workflow. Qualitative dimensions such as integration depth and scalability posture appear in the sections that follow.<\/p>\n<table style=\"min-width: 100px\">\n<colgroup>\n<col style=\"min-width: 25px\">\n<col style=\"min-width: 25px\">\n<col style=\"min-width: 25px\">\n<col style=\"min-width: 25px\"><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Platform<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Typical Implementation Timeline<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Estimated Annual Admin Cost (50-user team)<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Manual Data Entry Reduction<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Salesforce<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p><a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/vantagepoint.io\/blog\/sf\/insights\/2026-crm-buyers-guide-salesforce-hubspot-build-your-own\">3\u20136 months (standard), 6\u201312 months (enterprise)<\/a><\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p><a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/www.getclientell.com\/salesforce-blogs\/salesforce-admin-cost-guide\">$150,000\u2013$250,000<\/a><\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Partial via <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/svitla.com\/blog\/ai-in-crm-systems\">Einstein\/Agentforce<\/a>, manual entry still required for unstructured data<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>HubSpot<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p><a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/vantagepoint.io\/blog\/sf\/insights\/2026-crm-buyers-guide-salesforce-hubspot-build-your-own\">2\u20134 weeks with implementation partner<\/a><\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p><a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/vantagepoint.io\/blog\/sf\/insights\/2026-crm-buyers-guide-salesforce-hubspot-build-your-own\">$0\u2013$20,000<\/a><\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Partial via <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/svitla.com\/blog\/ai-in-crm-systems\">Breeze Intelligence<\/a>, limited for complex enterprise workflows<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Zoho CRM<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Weeks to months depending on customization<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Lower than Salesforce, <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/aimultiple.com\/agentic-crm\">agentic capabilities have limited scalability at enterprise scale<\/a><\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Via <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/svitla.com\/blog\/ai-in-crm-systems\">Zia AI Agent Studio<\/a>, suited for SMB and mid-market teams<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Microsoft Dynamics 365<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>3\u20136+ months for mid-market<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>High, requires dedicated admin or partner<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Via <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/svitla.com\/blog\/ai-in-crm-systems\">Copilot for meeting summaries and email drafts<\/a>, manual pipeline updates persist<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Pipedrive<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Days to weeks<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Low, limited AI automation depth<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Minimal native AI, relies on third-party integrations for enrichment<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Clarify<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Fast initial setup<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Low<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Post-ChatGPT architecture, limited depth for Salesforce and HubSpot integration complexity<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Coffee<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Hours to days via Google Workspace or Microsoft 365 auth<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Seat-based, agent labor included at no additional cost<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>8\u201312 hours per rep per week via autonomous contact creation, activity logging, and enrichment<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/www.coffee.ai\/pricing\"><strong>See Coffee\u2019s pricing<\/strong><\/a> and compare the total cost of ownership against your current stack.<\/p>\n<p>The table above shows where platforms differ on cost and speed, but those metrics do not explain how AI automation changes daily CRM work. The next section breaks down the specific workflows where agent-first platforms like Coffee deliver measurable time savings.<\/p>\n<h2>How Coffee Addresses Core CRM Automation Gaps<\/h2>\n<p><strong>Data capture and maintenance.<\/strong> Legacy platforms depend on reps to log calls, update stages, and enrich contacts. <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/heydan.ai\/articles\/top-5-integrations-to-reduce-manual-crm-data-entry\">Manual data entry remains a major CRM challenge for sales professionals.<\/a> Coffee\u2019s agent connects to Google Workspace or Microsoft 365 and immediately begins auto-creating contacts, logging activity, and enriching records with job titles, funding data, and LinkedIn profiles, which removes the need for Apollo or ZoomInfo as separate line items. The result is the time savings documented in the table above, time that reps can redirect to selling instead of CRM hygiene.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1763678186019-5cc1a76ac78e.gif\" alt=\"Build people lists automatically with Coffee AI CRM Agent\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Build people lists automatically with Coffee AI CRM Agent<\/em><\/figcaption><\/figure>\n<p><strong>Meeting orchestration.<\/strong> HubSpot and Salesforce offer bolt-on meeting tools, but they still require reps to manually review transcripts and write follow-ups. Coffee\u2019s agent joins Zoom, Teams, or Meet calls, generates structured summaries aligned to BANT, MEDDIC, or SPICED, and drafts follow-up emails in Gmail for one-click review. Pre-meeting briefings surface attendee history and deal context automatically so reps walk into every call prepared.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1763678549697-4e8d65abe17d.gif\" alt=\"GIF of Coffee platform where user is using AI to prep for a meeting with Coffee AI\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Automated meeting prep with Coffee AI CRM Agent<\/em><\/figcaption><\/figure>\n<p><strong>Pipeline intelligence.<\/strong> <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/www.meetrep.ai\/blog\/ai-in-sales-statistics-what-2026-data-reveals-about-adoption-roi-and-the-gap-nobody-talks-about\">AI-using sales teams are 17 percentage points more likely to grow revenue (83% vs 66%) than those not using AI.<\/a> Coffee\u2019s Pipeline Compare feature visualizes week-over-week deal movement, including progressed, stalled, and new deals, without CSV exports or manual review sessions. The agent maintains a complete data warehouse from day one, which gives leaders a reliable view of pipeline health.<\/p>\n<p><strong>Visitor identification.<\/strong> Most HubSpot alternatives surface company-level intent data. Coffee\u2019s visitor identification pixel identifies named individuals, infers title and email, and applies your buyer persona to recommend the two or three specific contacts inside a visiting company worth reaching out to. The agent also surfaces LinkedIn profiles for immediate outbound action.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1763678641499-bad085f8165f.gif\" alt=\"Building a company list with Coffee AI\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Building a company list with Coffee AI<\/em><\/figcaption><\/figure>\n<p><strong>Stack consolidation.<\/strong> A typical mid-market sales stack combines HubSpot, ZoomInfo, Gong, and SalesLoft. <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/heimdallpartner.com\/insights\/sales-performance\/sales-force-effectiveness-guide\">Disconnected systems that require manual handoffs cause data degradation at every step, which undermines forecasting reliability.<\/a> Coffee replaces enrichment, recording, and pipeline review tools in a single agent, whether deployed standalone or as a companion layer on an existing Salesforce or HubSpot instance.<\/p>\n<h2>Best-Fit Use Cases by Team Size and Stack<\/h2>\n<p><strong>Early-stage teams (1\u201320 people).<\/strong> Teams that have outgrown spreadsheets but view Salesforce or HubSpot as expensive overhead fit naturally with Coffee\u2019s Standalone CRM. The agent handles setup automatically after authentication. There is no dedicated admin requirement and no implementation partner needed.<\/p>\n<p><strong>Growing sales organizations (20\u201350 people).<\/strong> Teams at this stage need pipeline visibility and forecast accuracy without hiring a RevOps analyst to clean data manually. Coffee\u2019s standalone CRM scales with seat-based pricing, and the Pipeline Compare feature replaces manual weekly review preparation.<\/p>\n<p><strong>Teams committed to Salesforce or HubSpot.<\/strong> Organizations with existing investments in Salesforce or HubSpot, including custom fields, quotas, forecasting hierarchies, and required fields, face significant risk and cost with a full migration. <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/therevopsreport.com\/insights\/crm-migration-guide\/\">A CRM migration from HubSpot to Salesforce takes 3\u20136 months while Salesforce to HubSpot takes 2\u20134 months.<\/a> Coffee\u2019s Companion App deploys as an agent layer on top of the existing system and writes enriched data back to the system of record without disrupting established workflows.<\/p>\n<h2>Operational Considerations and Risks<\/h2>\n<p><strong>Change management.<\/strong> Organizations that compress implementation timelines by skipping data readiness or training phases consistently report lower adoption rates and higher post-go-live remediation costs. That pattern holds even for agent-first platforms, because speed of deployment does not remove the need for someone to own the CRM as a strategic asset rather than a background IT tool.<\/p>\n<p><strong>Data hygiene prerequisites.<\/strong> AI agents are only as good as the data they can access, so organizations must address data quality issues before deployment to avoid poor results. Many organizations report that their CRM data is not prepared to support AI features. Coffee\u2019s agent mitigates this by ingesting ground-truth data from emails and calendars from day one, while historical record cleanup remains a one-time migration task.<\/p>\n<p><strong>Hidden maintenance in legacy platforms.<\/strong> <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/svitla.com\/blog\/ai-in-crm-systems\">CRM data decays roughly 30% per year due to job changes, company acquisitions, and human error<\/a>, which directly degrades predictive model accuracy. Platforms that rely on human entry to refresh records accumulate this decay continuously and require ongoing manual maintenance.<\/p>\n<p><strong>Integration gaps.<\/strong> Coffee currently connects to third-party tools via Zapier, with deeper native integrations on the roadmap. Teams with complex ERP or industry-specific workflow requirements should validate integration coverage before committing. Integration has become the decisive battleground in the 2025\u20132026 CRM market, as organizations expect platforms to unify operational data across key business systems.<\/p>\n<p><strong>Cross-functional ownership.<\/strong> Pipeline intelligence becomes actionable only when Sales, RevOps, and leadership align on what the agent tracks and how forecasts are interpreted. Deploying Coffee without assigning a clear internal owner for agent configuration and output review reduces the return on the tool.<\/p>\n<h2>Decision Framework: Which AI-Powered CRM Fits Your Team?<\/h2>\n<table style=\"min-width: 100px\">\n<colgroup>\n<col style=\"min-width: 25px\">\n<col style=\"min-width: 25px\">\n<col style=\"min-width: 25px\">\n<col style=\"min-width: 25px\"><\/colgroup>\n<tbody>\n<tr>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Team Profile<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Existing Stack<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Tolerance for Manual Entry<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\">\n<p>Recommended Path<\/p>\n<\/th>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>1\u201320 people, founder-led sales<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Spreadsheets or Notion<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Zero, needs full automation<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Coffee Standalone CRM<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>20\u201350 people, growing sales team<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Pipedrive or early HubSpot<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Low, wants agent to handle admin<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Coffee Standalone CRM<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>20\u201350 people, RevOps-led<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Salesforce or HubSpot (established)<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Low, data quality is the problem, not the platform<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Coffee Companion App<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">\n<p>50+ people, complex workflows<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Salesforce Enterprise<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Moderate, has admin resources but wants AI layer<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\">\n<p>Coffee Companion App or evaluate Salesforce Agentforce depth<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/www.coffee.ai\/pricing\"><strong>Explore standalone and companion options<\/strong><\/a> to find the deployment model that fits your existing infrastructure.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How long does Coffee implementation typically take?<\/h3>\n<p>Standalone CRM implementation begins immediately after you authenticate your Google Workspace or Microsoft 365 account. The Coffee Agent starts scanning emails and calendars to auto-create contacts and log activity within hours. There is no multi-week onboarding, no implementation partner required, and no data migration complexity for teams starting fresh. For the Companion App on Salesforce or HubSpot, a simple authentication allows the agent to begin syncing and enriching data back to your existing system of record, and most teams are operational the same day they sign up.<\/p>\n<h3>What expertise is required to maintain Coffee?<\/h3>\n<p>Coffee is designed so that no dedicated CRM administrator is required. The agent handles data entry, enrichment, activity logging, and pipeline tracking autonomously. The Head of Sales or a RevOps lead typically owns configuration of buyer personas, pipeline stages, and sales methodology preferences such as BANT, MEDDIC, or SPICED. Ongoing maintenance consists of reviewing agent outputs and adjusting parameters, not cleaning data or writing automation rules, which contrasts with Salesforce at the mid-market level.<\/p>\n<h3>Is Coffee SOC 2 Type 2 and GDPR compliant?<\/h3>\n<p>Yes. Coffee is SOC 2 Type 2 certified and GDPR compliant. Customer data is not used to train public AI models. For teams in regulated industries or those with strict data governance requirements, Coffee\u2019s compliance posture covers the standard mid-market security review. Teams in heavily regulated verticals such as healthcare or finance with multi-year security review cycles fall outside Coffee\u2019s current ideal customer profile.<\/p>\n<h3>How does Coffee\u2019s pricing model work?<\/h3>\n<p>Coffee uses seat-based pricing. You pay for the number of human users on your team, and the agent\u2019s labor for data entry, enrichment, meeting management, pipeline intelligence, and visitor identification is included without additional metering on AI usage or process volume. There are no separate charges for LLM calls or automation runs. This model keeps the total cost of ownership predictable and removes the per-feature add-on costs common in legacy CRM ecosystems.<\/p>\n<h3>How should we evaluate fit between standalone and companion-layer options?<\/h3>\n<p>The primary decision variable is whether your team has an established system of record with existing data, custom fields, quotas, and workflows. If you are on Salesforce or HubSpot and the cost and risk of migration outweigh the benefits of switching, the Companion App deploys Coffee\u2019s agent on top of your existing platform and improves data quality and pipeline intelligence without disrupting what is already built. If you are starting fresh, have outgrown spreadsheets, or are actively evaluating a full CRM replacement, the Standalone CRM gives you a modern, agent-first system of record from day one. Coffee\u2019s team can walk through your specific stack during a pricing conversation to confirm which model fits.<\/p>\n<h2>Conclusion: Choose the Agent That Keeps Data Clean<\/h2>\n<p>The core problem with legacy CRMs is not their feature lists, it is their architecture. Passive databases that rely on human entry produce incomplete records, degraded forecasts, and reps who treat the CRM as a chore rather than a tool. <a target=\"_blank\" rel=\"noindex nofollow\" href=\"https:\/\/parloa.com\/knowledge-hub\/proactive-ai\">Proactive AI agents continuously monitor signals, predict needs before they are expressed, and autonomously initiate actions within defined guardrails<\/a>, which creates a fundamentally different operating model than a form waiting to be filled out.<\/p>\n<p>Coffee\u2019s dual model addresses both sides of the market. Teams ready to replace their CRM entirely get an agent-first system of record that handles data in and delivers accurate insights out. Teams committed to Salesforce or HubSpot get the same agent deployed as a companion layer that writes clean data back to the platform they have already built on. Either path removes the manual entry burden and gives leadership a pipeline they can trust.<\/p>\n<p><a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"https:\/\/www.coffee.ai\/pricing\"><strong>Deploy Coffee\u2019s agent today<\/strong><\/a> and eliminate manual pipeline updates from your weekly forecast prep.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Discover the best AI-powered CRM alternatives to Salesforce &amp; HubSpot. Coffee automates data capture, enriches pipelines, and saves your team hours.<\/p>\n","protected":false},"author":11,"featured_media":7515,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-7516","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/posts\/7516","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/comments?post=7516"}],"version-history":[{"count":0,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/posts\/7516\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/media\/7515"}],"wp:attachment":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/media?parent=7516"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/categories?post=7516"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/tags?post=7516"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}