{"id":36030,"date":"2026-08-27T05:03:44","date_gmt":"2026-08-27T05:03:44","guid":{"rendered":"https:\/\/www.sozee.ai\/resources\/ai-ofm-earnings-report-analysis\/"},"modified":"2026-09-02T05:44:22","modified_gmt":"2026-09-02T05:44:22","slug":"ai-ofm-earnings-report-analysis","status":"publish","type":"post","link":"https:\/\/www.sozee.ai\/resources\/ai-ofm-earnings-report-analysis\/","title":{"rendered":"AI OFM Latest Earnings Report: 2026 Creator Revenue Guide"},"content":{"rendered":"<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>AI-driven workflows lift OnlyFans Management (OFM) revenue by replacing inconsistent manual pipelines with consistent, scheduled output.<\/li>\n<li>2026 data shows creators using AI tools earn 3\u20136 times more than non-users, with AI-powered subscription apps achieving 41% higher lifetime value.<\/li>\n<li>Reusable assets like locked likeness, saved environments, and reusable outfits push per-asset production costs toward zero over time.<\/li>\n<li>Enterprise AI profitability patterns show that recurring, reusable output drives margin expansion, which is the same principle behind creator monetization.<\/li>\n<li>Creators ready to act on these 2026 trends can <a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\">get started with Sozee today<\/a> and build locked, reusable content libraries that compound revenue month over month.<\/li>\n<\/ul>\n<h2>Why Enterprise AI Earnings Matter for OFM Creators<\/h2>\n<p>Enterprise AI revenue patterns in 2026 offer a blueprint for creator monetization. When Adobe expands margins from reusable generative infrastructure or Wiley grows EBITDA through AI licensing, they prove a simple rule. Content created once and monetized repeatedly produces far stronger margins than one-off production.<\/p>\n<p>That same rule governs OFM profitability. A character, environment, or outfit that appears across hundreds of posts behaves like an enterprise AI asset. It earns repeatedly while production costs stay flat. The snapshot below maps these enterprise metrics to creator-economy equivalents and the Sozee workflow elements that support each driver.<\/p>\n<h2>2026 Financial Snapshot: Enterprise AI vs. Creator Economy Proxies<\/h2>\n<p>Enterprise AI earnings from 2026 establish the macro backdrop and reveal a consistent pattern: profitability follows asset reuse, not generation volume. The table below maps four enterprise metrics to their creator-economy equivalents and shows how the same economic drivers that power Adobe and Wiley can power OFM operations when AI workflows prioritize reusable assets.<\/p>\n<table>\n<thead>\n<tr>\n<th>Metric<\/th>\n<th>Adobe (Enterprise AI)<\/th>\n<th>Creator Economy Proxy<\/th>\n<th>Sozee Workflow Element<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Revenue \/ Earnings Benchmark<\/td>\n<td><a href=\"https:\/\/benzinga.com\/insights\/news\/26\/06\/53158041\/adobe-reports-q2-2026-results-full-earnings-call-transcript\" target=\"_blank\" rel=\"noindex nofollow\">Q2 FY2026 revenue of $6.62 billion, 11% YoY growth<\/a><\/td>\n<td><a href=\"https:\/\/frameloop.ai\/blog\/creator-economy-trends-2026\" target=\"_blank\" rel=\"noindex nofollow\">Creator economy valued at $310.4 billion in 2026, 23.3% CAGR<\/a><\/td>\n<td>Native scheduling and analytics split Sozee-posted vs. creator-posted performance<\/td>\n<\/tr>\n<tr>\n<td>AI ARR \/ AI Revenue Growth<\/td>\n<td><a href=\"https:\/\/markets-data-api-proxy.ft.com\/data\/announce\/full?dockey=600-202606111605BIZWIRE_USPRX____20260611_BW677110-1\" target=\"_blank\" rel=\"noindex nofollow\">AI-first ARR exceeded $500 million exiting Q2 2026, growing 3x YoY, with Firefly ARR near $300 million<\/a><\/td>\n<td>High-earning creators use AI tools more frequently<\/td>\n<td>Photo Shoot generates up to 10 locked, coherent images from one frame, while reusable environments compound output<\/td>\n<\/tr>\n<tr>\n<td>Engagement \/ Conversion Lift<\/td>\n<td><a href=\"https:\/\/vectorshift.ai\/research\/companies\/adobe\/earnings\/2026-q2.html\" target=\"_blank\" rel=\"noindex nofollow\">Creative freemium MAUs across Firefly, Express, and Acrobat reached 90 million, growing over 70% YoY, while web traffic to adobe.com rose over 40% YoY<\/a><\/td>\n<td><a href=\"https:\/\/writtenby.ai\/blog\/2026\/03\/11\/ai-integration-in-subscription-apps-insights-from-revenuecat-2026\" target=\"_blank\" rel=\"noindex nofollow\">AI-powered apps convert trials at 8.5% vs. 5.6% for non-AI apps, a 52% higher rate<\/a><\/td>\n<td>Locked likeness across the SFW-to-NSFW arc, with the Agent setting up and scheduling the shoot<\/td>\n<\/tr>\n<tr>\n<td>Profitability \/ Margin Signal<\/td>\n<td><a href=\"https:\/\/newsroom.wiley.com\/press-releases\/press-release-details\/2026\/Research-and-AI-Momentum-Record-Margins-and-Cash-Flow-Growth-Highlight-Wileys-Fourth-Quarter-and-Fiscal-2026-Results\/default.aspx\" target=\"_blank\" rel=\"noindex nofollow\">Wiley adjusted EBITDA margin expanded 220 basis points to a record 26.2% in FY2026, with AI and Data Analytics revenue up 23% YoY to $49 million<\/a><\/td>\n<td><a href=\"https:\/\/writtenby.ai\/blog\/2026\/03\/11\/ai-integration-in-subscription-apps-insights-from-revenuecat-2026\" target=\"_blank\" rel=\"noindex nofollow\">AI apps achieve median annual realized LTV of $30.16 vs. $21.37 for non-AI apps, a 41% lift<\/a><\/td>\n<td>Reusable settings, outfits, and objects reduce per-shoot variable cost, while Vault organizes every asset for reuse<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>These enterprise patterns translate directly to creator workflows when you use AI that locks likeness and reuses assets. <a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>See how Sozee maps these profitability drivers into your OFM workflow \u2192<\/strong><\/a><\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/cdn.aigrowthmarketer.co\/1762997925636-7453a7a8b2ad.png\" alt=\"Sozee AI Platform\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>Sozee AI Platform<\/em><\/figcaption><\/figure>\n<h2>AI Profitability Signals That Matter for OFM Operators<\/h2>\n<p>For OFM operators evaluating AI investment, the key question is whether AI-driven workflows can be profitable at scale, not just more productive. The profitability picture in 2026 is mixed at the enterprise level but highly instructive for creator operators because it highlights which workflow patterns expand margins.<\/p>\n<p><a href=\"https:\/\/newsroom.wiley.com\/press-releases\/press-release-details\/2026\/Research-and-AI-Momentum-Record-Margins-and-Cash-Flow-Growth-Highlight-Wileys-Fourth-Quarter-and-Fiscal-2026-Results\/default.aspx\" target=\"_blank\" rel=\"noindex nofollow\">Wiley reported a record full-year adjusted EBITDA margin of 26.2% in fiscal 2026.<\/a> Adobe\u2019s profitability improvement in Q2 FY2026 came primarily from Firefly credit consumption, where the same generative infrastructure serves millions of requests without proportional cost increases.<\/p>\n<p>The common thread in both profitable AI businesses is recurring, reusable output. Wiley\u2019s margin expansion came from AI licensing, where content is generated once and licensed repeatedly. Adobe\u2019s margin structure mirrors the OFM operator who builds a saved environment once and reuses it across hundreds of shoots.<\/p>\n<p>The creator-economy parallel is direct. <a href=\"https:\/\/revenuecat.com\/blog\/growth\/ai-feature-cost-subscription-app-margins\" target=\"_blank\" rel=\"noindex nofollow\">Subscription apps that reuse generated outputs instead of regenerating them on every request protect gross margins as AI usage scales with engagement.<\/a> For OFM operators, this creates a clear workflow requirement. Locked likeness and saved environments must live as reusable assets, not prompts re-entered on every shoot. Sozee\u2019s Vault stores every image, video, voice note, and Live Mode snap in folders that feed the Scheduler, the Agent, and every subsequent shoot, which removes regeneration costs from the loop.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/sozee.ai\/wp-content\/uploads\/2025\/11\/Sozee-60-Seconds-To-Generate-Content-White.gif\" alt=\"GIF of Sozee Platform Generating Images Based On Inputs From Creator on a White Background\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>GIF of Sozee Platform Generating Images Based On Inputs From Creator on a White Background<\/em><\/figcaption><\/figure>\n<p><a href=\"https:\/\/www.revenuecat.com\/blog\/growth\/ai-app-retention-study\" target=\"_blank\" rel=\"noindex nofollow\">AI apps have annual subscriber retention of 21.1% versus 30.7% for non-AI apps.<\/a> Consistency mitigates that gap. A character whose face, body, and world stay identical across every post builds subscriber trust that offsets AI-native churn. Locked likeness provides that structural advantage over prompt-based generation.<\/p>\n<h2>AI Growth Leaders and What They Signal for Creators<\/h2>\n<p>Growth rate shows which AI workflow patterns are winning adoption fastest and which patterns OFM operators should prioritize. <a href=\"https:\/\/finance.biggo.com\/news\/US_FIG_2026-08-05\" target=\"_blank\" rel=\"noindex nofollow\">Figma raised its full-year 2026 revenue guidance to $1.463\u2013$1.467 billion, with over 80% of large customers consuming AI credits weekly by Q2 2026.<\/a> <a href=\"https:\/\/futurumgroup.com\/insights\/adobe-q1-fy-2026-earnings-show-ai-monetization-progress-amid-ceo-transition\" target=\"_blank\" rel=\"noindex nofollow\">Adobe\u2019s AI-first ARR more than tripled year over year in Q1 FY2026, with generative credit usage expanding toward higher-compute modalities such as video and audio.<\/a><\/p>\n<p>Both growth leaders share a structural feature. They monetize through credit consumption tied to workflow integration, not one-off tool purchases. The creator-economy equivalent is the platform that becomes the operating system for a creator\u2019s entire production cycle. <a href=\"https:\/\/presenc.ai\/research\/ai-tool-adoption-by-creator-tier-2026\" target=\"_blank\" rel=\"noindex nofollow\">Six-figure creators report 43% weekly and 29% daily AI use, roughly twice the rate of nano and micro creators, within an overall creator adoption range of 86\u201392%.<\/a> Adobe\u2019s 2026 survey of over 16,000 creators found that 75% describe creative AI as integrated or essential to their workflow and 87% say it has grown their business or audience.<\/p>\n<p>The fastest-growing creator operations in 2026 treat AI as production infrastructure rather than a content shortcut. <a href=\"https:\/\/frameloop.ai\/blog\/creator-economy-trends-2026\" target=\"_blank\" rel=\"noindex nofollow\">Adobe\u2019s 2026 Creators\u2019 Toolkit Report found that 87% of creators using creative AI said it accelerated the growth of their business or audience.<\/a> OFM operators who embed AI into every step of the production loop, from ideation through scheduling, sit in that growth cohort.<\/p>\n<h2>AI OFM Q2 2026 Results: What Top Creators Are Earning<\/h2>\n<p>Creator-specific metrics from 2026 platform reports provide the clearest OFM revenue benchmarks available. These data points cluster around three drivers: AI-assisted messaging, content consistency, and posting frequency.<\/p>\n<ul>\n<li><a href=\"https:\/\/techinsyte.com\/fanvue-hits-200m-run-rate-with-ai-infrastructure\/\" target=\"_blank\" rel=\"noindex nofollow\">Creators on Fanvue using AI features earn between three to six times more than those who do not.<\/a><\/li>\n<li><a href=\"https:\/\/content.fans\/news\/fanvues-ai-tools-double-revenue-to-200m-run-rate\" target=\"_blank\" rel=\"noindex nofollow\">Fanvue\u2019s 2026 data confirms that AI tools correlate with 3\u20136x higher earnings for participating creators.<\/a><\/li>\n<li>Many creators now rely on AI text generation tools to support daily messaging, captioning, and content planning.<\/li>\n<li><a href=\"https:\/\/www.revenuecat.com\/blog\/growth\/ai-app-retention-study\" target=\"_blank\" rel=\"noindex nofollow\">AI-powered subscription apps monetize 41% better than non-AI apps, with median Y1 LTV of $30.16 versus $21.37.<\/a><\/li>\n<li>Half of all creators earn under $15,000 per year, while the creator economy is projected to grow at a 23.3% CAGR from 2026 through 2033.<\/li>\n<\/ul>\n<p>Creators can earn substantially more on fan platforms than on TikTok, so the OFM channel carries disproportionate revenue weight for multi-platform creators. The 2026 data shows that AI adoption within that channel, especially for messaging, content generation, and scheduling, is the main variable separating top earners from the median.<\/p>\n<h2>Credit Quality and Cash-Flow Implications for AI-Adopting Creators<\/h2>\n<p><a href=\"https:\/\/revenuecat.com\/blog\/growth\/ai-feature-cost-subscription-app-margins\" target=\"_blank\" rel=\"noindex nofollow\">AI features introduce variable costs at the feature level because each user interaction consumes tokens and inference compute, which shifts away from the near-zero marginal cost model of traditional subscriptions.<\/a> For OFM operators, this means the cost structure of AI-assisted content production must be managed at the asset level, not the session level.<\/p>\n<p>The cash-flow implication is straightforward. Every asset generated and stored for reuse reduces the effective cost per piece of content over time. Consider a saved environment used across 50 shoots. Its generation cost spreads across those shoots and approaches zero per session. The same principle applies to an outfit library. Assembled once and reattached across a year of content, it removes the variable cost of re-describing wardrobe in every prompt.<\/p>\n<p>Adobe\u2019s 2026 survey of over 16,000 creators found that 75% describe creative AI as integrated or essential to their workflow and 87% say it has grown their business or audience. The 75% integration rate translates into a clear operational requirement for agencies. AI must sit inside the production loop, not bolt on as an optional tool. For agencies managing multiple creator accounts, the margin improvement from reusable assets compounds across the entire roster. Sozee\u2019s isolated workspaces allow agencies to build each creator\u2019s world once, including settings, outfits, objects, and likeness, then deploy it indefinitely without regeneration costs.<\/p>\n<h2>Sozee 2026 Launch Metrics: Turning AI Workflows Into OFM Revenue<\/h2>\n<p>The enterprise and creator data converge on a single requirement. AI workflows must produce reusable assets that stay consistent across every subscriber interaction. Sozee launched in July 2026 as the first AI Content Studio built specifically for that requirement and for creator monetization workflows.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/cdn.aigrowthmarketer.co\/1759125421404-eac2da53b307.png\" alt=\"Make hyper-realistic images with simple text prompts\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>Make hyper-realistic images with simple text prompts<\/em><\/figcaption><\/figure>\n<p>Generic AI generators produce different faces and environments across sessions, which erodes subscriber relationships and blocks asset reuse. Sozee locks likeness and saves environments as permanent assets. The platform addresses three specific failure modes highlighted by the 2026 data: inconsistent likeness, non-reusable assets, and no native path from content generation to platform scheduling.<\/p>\n<p>The workflow elements that correspond directly to the 2026 earnings data are:<\/p>\n<ul>\n<li><strong>Locked likeness:<\/strong> The same face and body appear across every frame, set, and week, which prevents the brand erosion that drives AI-native churn.<\/li>\n<li><strong>Photo Shoot:<\/strong> One image becomes a coherent set of up to ten, including a full SFW-to-NSFW arc with pacing and ceiling set by the creator, mirroring the revenue lift from consistent AI engagement.<\/li>\n<li><strong>Reusable environments:<\/strong> A location built from up to four reference shots becomes a permanent asset. Build a bedroom once and shoot in it for a year.<\/li>\n<li><strong>Native Scheduler:<\/strong> Connect Instagram, TikTok, X, Facebook, Reddit, and Fanvue per character, with analytics that split Sozee-posted performance from creator-posted performance.<\/li>\n<li><strong>The Agent:<\/strong> Takes a half-formed idea and writes directly into the prompt bar and Photo Control panel, so the shoot sits one tap from Generate when the conversation ends.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/supamarketers.com\/daily\/ai-marketing-daily-2026-08-05\" target=\"_blank\" rel=\"noindex nofollow\">The virtual influencer market reached $11.74 billion in 2026, with virtual influencer campaigns averaging a 5.67% engagement rate, nearly three times the 1.89% rate for human influencers.<\/a> Sozee\u2019s AI Character Builder generates an original character with no source photos required, locks her likeness from the first frame, and puts her on a daily posting schedule. This stack provides the full infrastructure for a virtual influencer operation at a fraction of traditional character development costs.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Start building your reusable asset library in Sozee \u2192<\/strong><\/a><\/p>\n<h2>2027 Guidance: Compounding Revenue From Reusable Creative Assets<\/h2>\n<p><a href=\"https:\/\/investing.com\/news\/transcripts\/earnings-call-transcript-figma-beats-q2-2026-estimates-but-stock-falls-after-hours-93CH-4839657\" target=\"_blank\" rel=\"noindex nofollow\">Figma\u2019s management described two primary AI credit purchasing patterns in 2026.<\/a> Some teams quickly buy scaled add-on subscriptions, while others begin with pay-as-you-go usage before expanding. This pattern matches early AI adoption cycles. The creator-economy equivalent is the operator who starts with a single character and environment, then scales to a full roster of characters, each with saved worlds, as the compounding value of reusable assets becomes visible in monthly revenue.<\/p>\n<p><a href=\"https:\/\/futurumgroup.com\/insights\/adobe-q1-fy-2026-earnings-show-ai-monetization-progress-amid-ceo-transition\" target=\"_blank\" rel=\"noindex nofollow\">Adobe\u2019s forward guidance for the back half of FY2026 anticipates ARR re-acceleration as freemium users build dependence before encountering paywalls.<\/a> That model mirrors the OFM subscriber journey from SFW content to paid NSFW tiers. Creators and agencies that build their asset libraries in 2026 will enter 2027 with compounding advantages, including faster shoots, lower per-asset costs, and subscriber relationships built on consistent, recognizable characters rather than unstable AI outputs.<\/p>\n<p>The 2027 revenue outlook for AI-native OFM operators is not a speculative forecast. It is an arithmetic consequence of asset reuse. Because every environment saved, every outfit catalogued, and every character locked expands production capacity without adding working hours, the revenue ceiling rises while time investment stays flat. This structural advantage makes every hour of work more valuable.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Lock your 2027 margin advantage and create your first character in Sozee \u2192<\/strong><\/a><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>What does &#8220;AI OFM earnings impact&#8221; actually measure?<\/h3>\n<p>AI OFM earnings impact measures the revenue difference between creators who use AI-driven production workflows and those who do not on subscription-based fan platforms. The 2026 data identifies three primary drivers: AI features, which correlate with 3\u20136x higher earnings on Fanvue, content consistency, and posting frequency enabled by native scheduling. The metric does not track AI tool adoption in the abstract. It tracks whether the AI workflow produces locked, reusable assets that maintain character consistency across every subscriber touchpoint. Creators who use AI for one-off generation without asset reuse capture only a fraction of the available lift compared with those running a full production loop from character creation through scheduling and analytics.<\/p>\n<h3>How do C3.ai and Adobe earnings relate to OFM creator revenue?<\/h3>\n<p>Enterprise AI earnings from companies like Adobe and Wiley act as leading indicators of which AI workflow elements produce measurable profitability for OFM operators. Adobe\u2019s margin improvement in 2026 tracks directly with Firefly credit consumption tied to reusable generative infrastructure, which mirrors creator-economy margins when AI-generated assets are stored and reused rather than regenerated. Wiley\u2019s record EBITDA margin expansion came from AI licensing, where content is produced once and monetized repeatedly. The OFM parallel is a saved environment or locked character that generates revenue across hundreds of posts without additional production cost. The enterprise data does not convert directly into creator revenue figures, but it confirms the structural principle that reusable AI output compounds profitability in ways that one-time generation cannot.<\/p>\n<h3>What is the biggest risk of AI adoption for OFM creators in 2026?<\/h3>\n<p>The primary risk is retention degradation from inconsistent output. <a href=\"https:\/\/www.revenuecat.com\/blog\/growth\/ai-app-retention-study\" target=\"_blank\" rel=\"noindex nofollow\">The 2026 RevenueCat data shows AI-powered subscription apps have annual subscriber retention of 21.1% versus 30.7% for non-AI apps.<\/a> Generic AI generators often produce different faces, bodies, and environments across sessions, which erodes the subscriber\u2019s sense of relationship with a consistent persona. The mitigation is not to avoid AI. The mitigation is to use AI that locks likeness and reuses environments. A subscriber who sees the same face, the same bedroom, and the same recognizable character across every post builds the parasocial familiarity that drives long-term retention.<\/p>\n<p>The second risk is variable cost escalation from regenerating assets that could be stored and reused. Creators who treat every shoot as a new generation event pay infrastructure costs that compound against their margins. Platforms that store and reattach assets remove this cost structure and convert AI from a volatile expense into a stable production asset.<\/p>\n<section data-read-next=\"true\">\n<h2>Read Next<\/h2>\n<ul>\n<li><a href=\"https:\/\/sozee.ai\/resources\/ai-ofm-vs-human-creator\" target=\"_blank\">AI OFM vs Human Creator: 2026 Comparison Guide for Agencies<\/a><\/li>\n<li><a href=\"https:\/\/sozee.ai\/resources\/ai-ofm-video-generation-cost\" target=\"_blank\">AI OFM Video Generation Cost Comparison 2026<\/a><\/li>\n<li><a href=\"https:\/\/sozee.ai\/resources\/ai-tools-increase-creator-revenue\" target=\"_blank\">How AI Tools Increase Creator Revenue by 300% in 2026<\/a><\/li>\n<li><a href=\"https:\/\/sozee.ai\/resources\/ai-creator-economy-monetization-2026\" target=\"_blank\">AI Creator Economy Monetization: 10x Revenue Playbook 2026<\/a><\/li>\n<li><a href=\"https:\/\/sozee.ai\/resources\/ai-content-increase-creator-revenue\" target=\"_blank\">How to Use AI Content to Increase Creator Revenue in 2026<\/a><\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Sozee breaks down 2026 AI earnings reports and what they mean for OFM creator revenue. Use AI workflows to grow faster \u2014 start with Sozee today.<\/p>\n","protected":false},"author":2,"featured_media":36029,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-36030","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-monetization"],"_links":{"self":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/36030","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/comments?post=36030"}],"version-history":[{"count":1,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/36030\/revisions"}],"predecessor-version":[{"id":36775,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/36030\/revisions\/36775"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media\/36029"}],"wp:attachment":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media?parent=36030"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/categories?post=36030"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/tags?post=36030"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}