{"id":8304,"date":"2026-07-27T05:06:55","date_gmt":"2026-07-27T05:06:55","guid":{"rendered":"https:\/\/www.coffee.ai\/articles\/chorus-ai-complaints-problems-2026"},"modified":"2026-07-27T05:06:55","modified_gmt":"2026-07-27T05:06:55","slug":"chorus-ai-complaints-problems-2026","status":"publish","type":"post","link":"https:\/\/www.coffee.ai\/articles\/chorus-ai-complaints-problems-2026","title":{"rendered":"Chorus AI Complaints and Problems: Why Teams Are Switching"},"content":{"rendered":"<p><em>Written by: Doug Camplejohn, CEO &amp; Co-Founder, Coffee<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways for Teams Evaluating Chorus AI<\/h2>\n<ul>\n<li>Chorus AI\u2019s transcription accuracy sits in the 80\u201390% range and often mangles jargon or misattributes speakers, which hurts compliance and deal clarity.<\/li>\n<li>Passive calendar-sync bots frequently miss the start of calls, which leaves CRM records incomplete and creates reporting gaps.<\/li>\n<li>Annual contracts start at $8,000 for three seats and can exceed $36,000 when bundled with ZoomInfo, with no monthly billing or free trials.<\/li>\n<li>Privacy concerns and \u201cbig-brother\u201d perceptions strain team culture, while CRM sync issues corrupt Salesforce and HubSpot records.<\/li>\n<li>Teams that want to avoid these problems can <a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\">get started with Coffee<\/a> and let an autonomous CRM Agent handle transcription, CRM updates, and pipeline intelligence automatically.<\/li>\n<\/ul>\n<h2>1. Transcription Accuracy Problems That Hurt Deals<\/h2>\n<p><a href=\"https:\/\/marketbetter.ai\/blog\/chorus-ai-review-2026\" target=\"_blank\" rel=\"noindex nofollow\">Users across G2, Capterra, and Reddit consistently report Chorus AI transcription accuracy in the 80\u201390% range<\/a>, which is enough to follow the general story of a call but not enough for verbatim quotes, compliance review, or precise deal language. <a href=\"https:\/\/technologyinsales.com\/tools\/chorus-ai\" target=\"_blank\" rel=\"noindex nofollow\">That figure trails Gong\u2019s reported 85\u201395% range and often fails to capture exact pricing commitments or legal language<\/a>.<\/p>\n<p>The specific failure modes are well-documented and fall into three buckets. <a href=\"https:\/\/alexberman.com\/the-chorus-review\" target=\"_blank\" rel=\"noindex nofollow\">Chorus regularly mangles technical terminology, industry jargon, product names, and acronyms<\/a>, and <a href=\"https:\/\/sales-echo.com\/reviews\/chorus\" target=\"_blank\" rel=\"noindex nofollow\">accuracy drops further with accents, non-native English speakers, or noisy connections<\/a>. <a href=\"https:\/\/marketbetter.ai\/blog\/chorus-ai-review-2026\" target=\"_blank\" rel=\"noindex nofollow\">Speaker misattribution in multi-person calls is a recurring complaint, which makes it hard to know who said what<\/a> and weakens both coaching and compliance. <a href=\"https:\/\/marketbetter.ai\/blog\/chorus-ai-review-2026\" target=\"_blank\" rel=\"noindex nofollow\">Processing delays on calls longer than 60 minutes can run 15\u201330 minutes, with AI insights taking even longer<\/a>, so reps cannot send accurate follow-ups right after the meeting. <a href=\"https:\/\/alexberman.com\/the-chorus-review\" target=\"_blank\" rel=\"noindex nofollow\">Users describe the combined effect as \u201cpretty hit or miss\u201d and often switch tools for accuracy alone<\/a>.<\/p>\n<p>The architecture drives these issues. Chorus behaves as a passive system that records audio, sends it to the cloud, and returns a transcript. It does not run an active agent that structures the conversation in real time or applies deal-specific context to resolve ambiguous terms.<\/p>\n<p>Coffee\u2019s AI Meeting Bot joins calls on Zoom, Teams, and Meet and transcribes while capturing structured data tied to the specific deal record. After the call, the agent generates summaries, identifies next steps, and drafts follow-up emails, with content organized by BANT, MEDDIC, or SPICED so qualification data enters the CRM consistently instead of approximately.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1763678321672-5c8717cf0024.gif\" alt=\"Create instant meeting follow-up emails with the Coffee AI CRM agent\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Create instant meeting follow-up emails with the Coffee AI CRM agent<\/em><\/figcaption><\/figure>\n<h2>2. Missed Recordings and Reliability Bugs That Break Data<\/h2>\n<p>Even when Chorus produces a transcript, teams face a second reliability problem. <a href=\"https:\/\/alexberman.com\/the-chorus-review\" target=\"_blank\" rel=\"noindex nofollow\">The Chorus note-taker bot sometimes joins calls late and misses the opening moments of conversations<\/a>. Those opening minutes set context, introduce attendees, and define the agenda, so losing them removes some of the most valuable data for analysis. <a href=\"https:\/\/alexberman.com\/the-chorus-review\" target=\"_blank\" rel=\"noindex nofollow\">The result is incomplete conversation data in CRM records and weaker reporting and coaching<\/a>.<\/p>\n<p>The passive calendar-sync model sits at the center of this problem. Chorus polls calendar events and dispatches a bot. When calendar data arrives late, the meeting tool behaves unpredictably, or the bot hits a join-link mismatch, the recording fails. No agent monitors the situation or corrects it in real time.<\/p>\n<p>Coffee\u2019s agent behaves like an always-on participant in the sales cycle. It reads the calendar, prepares a pre-meeting briefing with attendee context and past deal history, joins the call automatically, and logs the full interaction to the correct CRM record. Missed recordings become structurally unlikely because the agent owns the meeting workflow from start to finish.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1763678412915-a11943d2b0b8.gif\" alt=\"Join a meeting from the Coffee AI platform\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Join a meeting from the Coffee AI platform<\/em><\/figcaption><\/figure>\n<h2>3. High Cost and Slow Deployment for Chorus<\/h2>\n<p><a href=\"https:\/\/sales-echo.com\/reviews\/chorus\" target=\"_blank\" rel=\"noindex nofollow\">Chorus requires a three-seat minimum contract with a typical two-year term, no monthly billing, and no free trial<\/a>. <a href=\"https:\/\/agenticsalescall.com\/vs-chorus-zoominfo\" target=\"_blank\" rel=\"noindex nofollow\">Base pricing starts around $8,000 per year for the first three seats, with additional seats at roughly $1,200 per year<\/a>. <a href=\"https:\/\/agenticsalescall.com\/vs-chorus-zoominfo\" target=\"_blank\" rel=\"noindex nofollow\">A 10-seat deployment costs about $16,400 per year on a standalone basis before any ZoomInfo subscription<\/a>.<\/p>\n<p>The ZoomInfo bundle pushes costs higher. <a href=\"https:\/\/agenticsalescall.com\/vs-chorus-zoominfo\" target=\"_blank\" rel=\"noindex nofollow\">ZoomInfo\u2019s core data platform runs $15,000\u2013$40,000+ per year depending on seats and data tier<\/a>, and <a href=\"https:\/\/agenticsalescall.com\/vs-chorus-zoominfo\" target=\"_blank\" rel=\"noindex nofollow\">Chorus usually cannot be purchased as a clean standalone product for non-ZoomInfo customers<\/a>. <a href=\"https:\/\/agenticsalescall.com\/vs-chorus-zoominfo\" target=\"_blank\" rel=\"noindex nofollow\">For a 10-seat team without ZoomInfo, adding a typical $20,000 ZoomInfo platform cost brings the bundle to $36,400 per year<\/a>. Vendr data shows a 2026 median annual contract value of $58K for <a href=\"https:\/\/costbench.com\/compare\/chorus-vs-clari\/\" target=\"_blank\" rel=\"noindex nofollow\">Chorus<\/a>.<\/p>\n<p><a href=\"https:\/\/marketbetter.ai\/blog\/chorus-ai-review-2026\" target=\"_blank\" rel=\"noindex nofollow\">Full deployment often takes 2\u20133 months and requires IT for calendar and meeting-tool integration plus RevOps for CRM field mapping<\/a>. Teams pay for several months before they see value.<\/p>\n<p>Coffee keeps pricing and rollout simple. You pay per human seat, and the agent\u2019s unlimited work is included. There are no complex metering charges on LLM usage or background processes. Deployment starts with a single authentication to Google Workspace or Microsoft 365, and the agent immediately begins creating contacts, logging activity, and enriching records.<\/p>\n<h2>4. Privacy Concerns and \u201cBig-Brother\u201d Culture<\/h2>\n<p>Conversation intelligence platforms that record every call and analyze talk ratios, sentiment, and keyword frequency often create cultural friction. Monitored employees report higher stress, and heavily monitored teams can churn faster. <a href=\"https:\/\/ethisphere.com\/insights\/ai-employee-monitoring-ethics\" target=\"_blank\" rel=\"noindex nofollow\">Research links electronic performance monitoring to reduced job performance and higher stress, especially when employees experience it as surveillance instead of support<\/a>.<\/p>\n<p><a href=\"https:\/\/clarista.io\/blog\/the-flip-side-of-conversational-analytics-what-about-privacy-security\" target=\"_blank\" rel=\"noindex nofollow\">Many conversational analytics tools ship with broad access controls and weak audit trails, which creates internal data-security risk<\/a>. <a href=\"https:\/\/clarista.io\/blog\/the-flip-side-of-conversational-analytics-what-about-privacy-security\" target=\"_blank\" rel=\"noindex nofollow\">Conversation data may also be retained and reused to train models without clear user awareness<\/a>, which raises consent and privacy questions for both enterprises and their customers. <a href=\"https:\/\/secureprivacy.ai\/blog\/employee-monitoring-gdpr-guide\" target=\"_blank\" rel=\"noindex nofollow\">Under GDPR, systematic monitoring through conversation intelligence platforms always triggers a mandatory Data Protection Impact Assessment before rollout<\/a>.<\/p>\n<p>Reddit discussions about Chorus often use \u201cbig-brother\u201d language. Reps feel the tool exists to watch them instead of help them. That perception alone can kill adoption, which means the CRM data the tool was meant to improve never appears.<\/p>\n<p>Coffee\u2019s agent focuses on data quality instead of surveillance. Its job is to remove manual work from reps, not to score their behavior. Coffee is SOC 2 Type 2 and GDPR compliant, and the platform does not use customer data to train public models. The agent serves the rep first, which encourages real usage and better data.<\/p>\n<h2>5. CRM Integration Issues with Salesforce and HubSpot<\/h2>\n<p>Chorus struggles with CRM integrations in practice. One reviewer at an 11\u201325 employee software company reported that they could not see HubSpot data in Chorus and were told engineering was still investigating. Another reviewer noted that HubSpot passed details to Chorus, but there was no documentation explaining how to get Chorus calls and transcripts back into HubSpot. The HubSpot marketplace listing carries a 1\/5 rating based on two reviews.<\/p>\n<p>The structure of the integration contributes to these failures. <a href=\"https:\/\/truto.one\/blog\/connect-chorus-to-ai-agents-automate-call-recording-crm-sync\" target=\"_blank\" rel=\"noindex nofollow\">Chorus\u2019s CRM write-back endpoint requires strict relationship mapping, including the meeting ID, an array of CRM changes, the object type, and the specific opportunity ID<\/a>. If the system fails to fetch the correct CRM object IDs beforehand, the write-back rejects the payload. <a href=\"https:\/\/alexberman.com\/the-chorus-review\" target=\"_blank\" rel=\"noindex nofollow\">Chorus also depends on manual configuration of keywords and phrases for AI trackers because it lacks context awareness<\/a>. A Director of Sales Operations in a Gartner review stated that <a href=\"https:\/\/alexberman.com\/the-chorus-review\" target=\"_blank\" rel=\"noindex nofollow\">\u201csetting up folders and keywords is a tedious process\u201d and that the software misses relevant content when users do not specify exact terms<\/a>.<\/p>\n<p>Coffee\u2019s Companion App for Salesforce and HubSpot exists to avoid these problems. A simple authentication lets the Coffee Agent sync data, enrich it, and write accurate summaries, action items, and qualification data back to the main CRM without custom field mapping or long RevOps projects. For teams without a committed CRM, Coffee\u2019s Standalone CRM gives the agent full control of the system of record from day one.<\/p>\n<h2>6. Post-Acquisition Slowdown and Market Shift<\/h2>\n<p><a href=\"https:\/\/aisalestools.ai\/reviews\/chorus-review\" target=\"_blank\" rel=\"noindex nofollow\">Many users report that Chorus feature development slowed after the ZoomInfo acquisition, with the UI described as less modern than Gong or Salesloft and support quality varying<\/a>. <a href=\"https:\/\/sales-echo.com\/reviews\/chorus\" target=\"_blank\" rel=\"noindex nofollow\">Reviewers on G2, Capterra, and TrustRadius say Gong has pulled ahead on deal intelligence and pipeline analytics<\/a>. <a href=\"https:\/\/digitalbydefault.ai\/blog\/chorus-ai\" target=\"_blank\" rel=\"noindex nofollow\">Analysts note that the Chorus roadmap appears focused on ZoomInfo platform integration instead of new features<\/a>.<\/p>\n<p><a href=\"https:\/\/tryparallax.app\/blog\/conversation-intelligence-market-2026\" target=\"_blank\" rel=\"noindex nofollow\">Incumbent tools like Chorus were built around cloud-based post-call processing, which makes high-quality real-time coaching difficult to retrofit<\/a>. The 2026 market has moved toward agentic workflows. <a href=\"https:\/\/apollo.io\/insights\/what-are-the-best-conversation-intelligence-tools-for-analyzing-sales-or-customer-calls\" target=\"_blank\" rel=\"noindex nofollow\">Modern tools are expected to update CRM notes, trigger follow-up sequences, flag deal risks, and move pipeline stages automatically<\/a>. Chorus was not built for that model and shows no sign of a full rebuild.<\/p>\n<h2>Why These Chorus Problems Keep Showing Up<\/h2>\n<p>All of these Chorus AI complaints point back to the same root cause: a passive database that relies on humans and fragile bots for data quality. <a href=\"https:\/\/ema.ai\/additional-blogs\/addition-blogs\/best-practices-for-crm-ai-integration\" target=\"_blank\" rel=\"noindex nofollow\">Poor data quality, including incomplete records, duplicates, inconsistent activity tracking, and outdated information, sharply reduces the value of AI outputs in CRM systems<\/a>. When inputs are unreliable because a bot missed the call, the transcript mangled jargon, or the CRM sync failed, every downstream insight becomes suspect.<\/p>\n<p>Agent-based systems flip this pattern. The agent owns the data-in process. It joins the call, structures the transcript, maps it to the correct CRM record, and writes clean data without human effort. Strong inputs produce strong outputs, which means accurate forecasts, reliable pipeline reviews, and coaching based on what people actually said.<\/p>\n<h2>What Changed for Chorus AI After the ZoomInfo Deal<\/h2>\n<p><a href=\"https:\/\/aisalestools.ai\/reviews\/chorus-review\" target=\"_blank\" rel=\"noindex nofollow\">ZoomInfo acquired Chorus in 2021 for $575 million<\/a>. The acquisition combined Chorus\u2019s conversation intelligence with ZoomInfo\u2019s contact, account, and intent data. Since then, ZoomInfo has positioned Chorus mainly as an upsell inside its enterprise bundle instead of a standalone conversation intelligence platform. <a href=\"https:\/\/digitalbydefault.ai\/blog\/chorus-ai\" target=\"_blank\" rel=\"noindex nofollow\">The bundling strategy moves customers from Professional to Elite plans and increases procurement friction and total cost uncertainty for teams that do not already use ZoomInfo<\/a>. Independent feature development has slowed, and the architecture still centers on post-call processing instead of the real-time, agentic workflows that define 2026.<\/p>\n<h2>Chorus AI Pricing in 2026<\/h2>\n<p><a href=\"https:\/\/agenticsalescall.com\/vs-chorus-zoominfo\" target=\"_blank\" rel=\"noindex nofollow\">Chorus by ZoomInfo offers standalone seat-based pricing estimated at $1,000\u2013$1,400 per user per year in 2026<\/a>. Earlier sections covered the detailed breakdown of base pricing and bundle costs, which can push total spend above $36,000 annually for mid-sized teams. Vendr data shows a 2026 median annual contract value of $58K for <a href=\"https:\/\/costbench.com\/compare\/chorus-vs-clari\/\" target=\"_blank\" rel=\"noindex nofollow\">Chorus<\/a>. Pricing is not published and is sold only through ZoomInfo\u2019s sales team.<\/p>\n<h2>Is Chorus AI Worth the Cost for Most Teams?<\/h2>\n<p>Teams already deeply invested in ZoomInfo sometimes find Chorus cost-effective. <a href=\"https:\/\/agenticsalescall.com\/vs-chorus-zoominfo\" target=\"_blank\" rel=\"noindex nofollow\">A 10-seat deployment can sit at $16,400 per year versus Gong Foundation at $25,500 per year for existing ZoomInfo customers<\/a>. For everyone else, the value case is hard to defend. The transcription ceiling, CRM integration problems, 2\u20133 month rollout, 24-month contract lock-in, and slower innovation combine into a tool with enterprise pricing and SMB reliability. <a href=\"https:\/\/digitalbydefault.ai\/blog\/chorus-ai\" target=\"_blank\" rel=\"noindex nofollow\">Fireflies.ai delivers roughly 80% of Chorus\u2019s transcription value at about 15% of the cost<\/a>, and agent-led platforms like Coffee remove the passive-database limitation instead of working around it.<\/p>\n<h2>Better Alternative: Coffee\u2019s Autonomous CRM Agent<\/h2>\n<p>Coffee is built for the 2026 agentic workflow. Chorus behaves like a passive recorder that waits for humans to act on its output. Coffee behaves like an autonomous agent that handles data entry, meeting management, and pipeline intelligence without manual effort.<\/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>Coffee supports two deployment models so teams can adopt it on their own terms:<\/p>\n<ul>\n<li><strong>Standalone CRM:<\/strong> The Coffee Agent runs the entire system of record for small to mid-sized teams that want a modern alternative to HubSpot or Salesforce without constant manual upkeep.<\/li>\n<li><strong>Companion App for Salesforce and HubSpot:<\/strong> The agent sits on top of an existing CRM, owns the data-in process, and keeps the system of record accurate without human intervention.<\/li>\n<\/ul>\n<p>The agent addresses each major Chorus complaint directly:<\/p>\n<ul>\n<li>It joins calls on Zoom, Teams, and Meet, transcribes with structured data capture, and generates summaries organized by BANT, MEDDIC, or SPICED, which reduces jargon errors and speaker confusion through context-aware processing tied to the deal record.<\/li>\n<li>It acts as an always-on participant that owns the full meeting workflow, which removes the calendar-sync fragility that causes Chorus bots to miss call openings.<\/li>\n<li>It uses straightforward seat-based pricing with no complex metering, no 24-month lock-in, and no ZoomInfo bundle requirement.<\/li>\n<li>It focuses on data quality instead of behavioral monitoring, so reps treat it as a helpful assistant instead of a surveillance tool.<\/li>\n<li>It writes clean data to Salesforce and HubSpot through a simple authentication, with no custom field mapping, no long RevOps projects, and no rejected payloads from missing CRM object IDs.<\/li>\n<li>It was designed for agentic workflows from day one instead of retrofitted from a 2021-era post-call processing engine.<\/li>\n<\/ul>\n<p>Because the agent ensures strong data flows into the system, the outputs stay trustworthy. Pipeline Compare visualizes week-over-week deal changes automatically and replaces manual CSV exports and interrogation-style pipeline reviews with focused discussions grounded in accurate data.<\/p>\n<p><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\">Get started with Coffee<\/a> and replace Chorus\u2019s passive database model with an agent that handles every step from call recording to CRM update without human intervention.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What is a CRM Agent and how is it different from a conversation intelligence tool like Chorus?<\/h3>\n<p>A conversation intelligence tool like Chorus records calls, generates transcripts, and surfaces insights for humans to act on. A CRM Agent like Coffee goes further and autonomously manages the entire data lifecycle. It joins meetings, transcribes and structures conversation data, writes that data to the correct CRM records, enriches contacts, and generates follow-up drafts without requiring manual entry. The difference is a tool that explains what happened versus an agent that acts on what happened.<\/p>\n<h3>Does Coffee integrate with Salesforce and HubSpot?<\/h3>\n<p>Yes. Coffee\u2019s Companion App is built for teams that rely on Salesforce or HubSpot. A single authentication lets the Coffee Agent sync data in both directions, enrich records with job titles, funding data, and LinkedIn profiles, and write meeting summaries, action items, and qualification data back to the primary CRM. Coffee understands Salesforce and HubSpot architecture, including quotas, forecasting, and required fields, which separates it from newer CRM alternatives that lack this depth.<\/p>\n<h3>How does Coffee handle data security and privacy?<\/h3>\n<p>Coffee is SOC 2 Type 2 and GDPR compliant. Data captured by the Coffee Agent does not train public AI models. The agent\u2019s design centers on data quality instead of behavioral monitoring. It captures structured deal data to improve CRM accuracy, not to score or surveil rep behavior, which reduces the cultural friction that tools like Chorus can create.<\/p>\n<h3>Is Coffee suitable for a team that is not ready to replace its existing CRM?<\/h3>\n<p>Yes. Teams that want to keep Salesforce or HubSpot as their system of record can deploy Coffee as a Companion App. The agent manages the data-in process on top of the existing CRM without any migration. Teams that have outgrown spreadsheets but are not committed to a legacy CRM can adopt Coffee\u2019s Standalone CRM, where the agent runs the entire system of record from day one.<\/p>\n<h3>How difficult is it to migrate from Chorus to Coffee?<\/h3>\n<p>Coffee is designed for fast rollout. Once you connect Google Workspace or Microsoft 365, the agent immediately starts scanning emails and calendars to auto-create contacts, log activity, and enrich records. There is no 2\u20133 month implementation cycle, no IT-heavy calendar integration, and no RevOps-led CRM field mapping project. For teams using Chorus with Salesforce or HubSpot, the Companion App model lets Coffee run in parallel and produce clean CRM data before any formal transition decision.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chorus AI has transcription errors, missed calls, and $8K+ costs. See why teams are switching to Coffee for smarter, automated CRM intelligence.<\/p>\n","protected":false},"author":11,"featured_media":8303,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-8304","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\/8304","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"}],"replies":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/comments?post=8304"}],"version-history":[{"count":0,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/posts\/8304\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/media\/8303"}],"wp:attachment":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/media?parent=8304"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/categories?post=8304"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/tags?post=8304"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}