{"id":8735,"date":"2026-02-06T05:03:20","date_gmt":"2026-02-06T05:03:20","guid":{"rendered":"https:\/\/resources.sozee.ai\/resources\/top-ai-content-platforms-2026\/"},"modified":"2026-08-08T11:28:50","modified_gmt":"2026-08-08T11:28:50","slug":"top-ai-content-platforms-2026","status":"publish","type":"post","link":"https:\/\/www.sozee.ai\/resources\/top-ai-content-platforms-2026\/","title":{"rendered":"Best AI Content Tools &#038; Platforms for Creators Ranked"},"content":{"rendered":"<p><em>Last updated: July 6, 2026<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>Ten creator-grade AI tools and platforms were ranked on hyper-realism, monetization depth, native scheduling, analytics, and SFW-to-NSFW pipeline support.<\/li>\n<li>Sozee is the only option that delivers a complete workflow from a three-photo input to scheduled, measured revenue without external tools.<\/li>\n<li>Most competing products excel at generation but lack monetization funnels, NSFW export, or native scheduling and analytics.<\/li>\n<li>The creator economy\u2019s rapid growth makes workflow consolidation essential to avoid burnout and increase revenue per asset.<\/li>\n<li>Ready to turn three photos into a revenue engine? <a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\">Start your three-photo setup now<\/a>.<\/li>\n<\/ul>\n<h2>Why Creator-Grade AI Requires a Full Workflow in 2026<\/h2>\n<p>The bar for AI visuals has risen sharply. In 2024, creators often needed custom training runs to keep a character consistent across shoots. By 2026, <a href=\"https:\/\/getimg.ai\/blog\/how-to-create-consistent-characters-with-ai\" target=\"_blank\" rel=\"noindex nofollow\">models like FLUX.2, GPT Image 1.5, and Seedream 5.0 Lite narrow the gap between trained and reference-based approaches<\/a>. Hyper-realism from a handful of photos now comes standard, so the real differentiator is workflow depth, not raw image quality.<\/p>\n<p>Creator-grade platforms now need to cover the entire stack. That stack includes likeness recreation from as few as three photos, text-to-video and video-to-video generation, inpainting and editing without reshoots, SFW-to-NSFW funnel exports, native scheduling with performance analytics, and privacy-isolated likeness models. <a href=\"https:\/\/uxtigers.com\/post\/2026-predictions-halfway\" target=\"_blank\" rel=\"noindex nofollow\">Conversational editing, precise regional inpainting, and character-consistency locks are standard in leading AI design suites<\/a>, yet scheduling, analytics, and monetization pipelines remain rare.<\/p>\n<p>Platforms missing any of these layers push creators into multi-tool stacks that bring back the busywork they were trying to escape. That gap is why this ranking focuses on tools that move beyond generation and into revenue.<\/p>\n<h2>1. Sozee \u2014 End-to-End Monetization for SFW and NSFW Creators<\/h2>\n<p>Sozee is the only platform in this ranking built around monetizable creator workflows from first input to final payout. Upload three photos and Sozee reconstructs your likeness with hyper-realistic accuracy, or create an original AI character from zero source images. That likeness model then produces unlimited photos, text-to-video clips, video-to-video variants, and reel clones that stay on-brand.<\/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>Each asset flows into a full editing suite with Reimagine tools and inpainting, so you refine details without reshoots. Once assets are ready, Sozee packages SFW teasers for TikTok, Instagram, X, and other mainstream channels, plus NSFW sets for OnlyFans, Fansly, and FanVue. The platform then publishes through native scheduling and tracks performance with analytics that reveal which posts drive follows, subscriptions, and PPV sales.<\/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>No other option on this list closes the loop from a three-photo input to scheduled, measured revenue without external tools. Sozee\u2019s AI Copilot turns a plain-language goal into a full plan. It can draft briefs, generate content, apply edits, and schedule posts with minimal manual work. For agencies, approval flows let operators review content before it goes live, and roster-level scheduling gives a single dashboard for all managed creators.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/cdn.aigrowthmarketer.co\/1759125608311-5672a1d609fd.png\" alt=\"Use the Curated Prompt Library to generate batches of hyper-realistic content.\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>Use the Curated Prompt Library to generate batches of hyper-realistic content.<\/em><\/figcaption><\/figure>\n<p>Likeness models stay private and isolated, which means they never train other systems. This design directly addresses the <a href=\"https:\/\/regolo.ai\/the-privacy-line-ai-platforms-are-crossing-with-user-data\" target=\"_blank\" rel=\"noindex nofollow\">growing creator concern over platforms repurposing identity data for AI training without explicit consent<\/a>. Privacy protection becomes part of the monetization story, not an afterthought.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/cdn.aigrowthmarketer.co\/1762997859947-4a2e298c7c02.png\" alt=\"Creator Onboarding For Sozee AI\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>Creator Onboarding<\/em><\/figcaption><\/figure>\n<p><strong>Hyper-Realism Score: 10\/10 | Monetization Funnel: Full (SFW\u2192NSFW\u2192Schedule\u2192Analytics) | Native Scheduling + Analytics: Yes<\/strong><\/p>\n<h2>2. Postcrest \u2014 Unified Workspace With Strong Scheduling<\/h2>\n<p><a href=\"https:\/\/postcrest.com\/ai-characters\" target=\"_blank\" rel=\"noindex nofollow\">Postcrest trains an AI character from 5\u201310 photos in 20 to 30 minutes<\/a> and supports direct one-click publishing to Instagram, YouTube, and X with auto-scheduling at optimal times. Its unified workspace replaces several generation tools, including Midjourney and Runway, for many teams. The AI Engage feature drafts replies in the creator\u2019s learned voice across channels, which helps maintain audience relationships.<\/p>\n<p>Postcrest falls short on monetization depth. It offers no documented SFW-to-NSFW pipeline, no NSFW export support for adult platforms, and no agency-scale approval workflow. The product serves mainstream creators and marketing teams well but cannot support adult creators or multi-creator agencies at the level Sozee reaches.<\/p>\n<p><strong>Hyper-Realism Score: 7\/10 | Monetization Funnel: Partial (SFW only) | Native Scheduling + Analytics: Yes<\/strong><\/p>\n<h2>3. getimg.ai \u2014 Reference-Based Character Consistency for Brands<\/h2>\n<p><a href=\"https:\/\/getimg.ai\/blog\/how-to-create-consistent-characters-with-ai\" target=\"_blank\" rel=\"noindex nofollow\">getimg.ai\u2019s Elements feature enables consistent character generation from reference photos across multiple subject types<\/a>, including person, product, style, clothing, and pose, which can be combined in a single prompt. <a href=\"https:\/\/getimg.ai\/blog\/how-to-create-consistent-characters-with-ai\" target=\"_blank\" rel=\"noindex nofollow\">Commercial rights are included on all paid plans from $8 per month<\/a>, which keeps it accessible for agencies and brand teams.<\/p>\n<p>getimg.ai delivers production-ready character consistency for marketing and brand work but stops at asset creation. It lacks native video generation pipelines, social scheduling, analytics, and any documented NSFW export workflow. Creators who rely on it for monetizable content must connect separate scheduling and analytics tools, which brings back the multi-tool overhead that creator-grade platforms should remove.<\/p>\n<p><strong>Hyper-Realism Score: 8\/10 | Monetization Funnel: Partial (image-focused) | Native Scheduling + Analytics: No<\/strong><\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Close the monetization loop \u2014 see how Sozee turns generation into revenue in one platform.<\/strong><\/a><\/p>\n<h2>4. Mage (Mango 2) \u2014 Strong Character Lock, Limited Monetization Path<\/h2>\n<p><a href=\"https:\/\/blog.mage.space\/article\/introducing-blueberry-2-video-raspberry-video\/65c0cc2e-1a1b-4b10-99c4-41acc62d5e62\" target=\"_blank\" rel=\"noindex nofollow\">Mage\u2019s Mango 2 locks a character with a single portrait upload and extends consistency to video generation via Blueberry 2, Raspberry, and Berry video models<\/a>. Multi-character scenes work by referencing separately locked characters in one prompt. This cross-modality persistence from image to video is a genuine technical strength for storytelling.<\/p>\n<p>Mage offers no native scheduling, no analytics, and no documented monetization pipeline for adult platforms. It functions as a powerful generation layer that still requires external tools for publishing and revenue measurement. For creators trying to remove repetitive work, that missing workflow layer becomes a significant drawback.<\/p>\n<p><strong>Hyper-Realism Score: 8\/10 | Monetization Funnel: Generation only | Native Scheduling + Analytics: No<\/strong><\/p>\n<h2>5. Adobe Firefly (Custom Models) \u2014 Enterprise-Grade Realism, Limited Creator Focus<\/h2>\n<p>Adobe Firefly\u2019s Custom Models deliver production-grade image consistency for brand campaigns and enterprise teams, with deep integration into the Creative Cloud editing suite. Creators already working in Adobe tools benefit from familiar interfaces and high output quality.<\/p>\n<p>Firefly does not target creator monetization. It offers no NSFW pipeline, no social scheduling native to Firefly, no analytics tied to revenue conversion, and no agency roster management. Pricing also aligns with enterprise contracts rather than individual creator budgets. It earns its place here for realism and editing depth, not for closing a monetization loop.<\/p>\n<p><strong>Hyper-Realism Score: 9\/10 | Monetization Funnel: None | Native Scheduling + Analytics: No<\/strong><\/p>\n<h2>6. Leonardo.ai \u2014 Flexible Generation With Fragmented Publishing<\/h2>\n<p>Leonardo.ai\u2019s Character Reference and Omni models rank among <a href=\"https:\/\/getimg.ai\/blog\/how-to-create-consistent-characters-with-ai\" target=\"_blank\" rel=\"noindex nofollow\">the leading tools for consistent AI character generation in 2026<\/a>. Its model library spans photorealism, stylized art, and game assets, which gives creators flexibility across formats and genres.<\/p>\n<p>Leonardo.ai focuses on generation and editing rather than monetization. It offers no native scheduling, no analytics, and no funnel from SFW to NSFW content. Creators must export assets and rely on other platforms for publishing and revenue tracking. That fragmentation adds friction at the exact stage where automation should simplify operations.<\/p>\n<p><strong>Hyper-Realism Score: 8\/10 | Monetization Funnel: None | Native Scheduling + Analytics: No<\/strong><\/p>\n<h2>7. Google Flow (Gemini Omni) \u2014 Cinematic Physics and Storytelling Only<\/h2>\n<p>Gemini Omni supports character identity across scenes and combines realistic visuals with advanced narrative control. <a href=\"https:\/\/blog.google\/innovation-and-ai\/technology\/ai\/google-io-2026-all-our-announcements\" target=\"_blank\" rel=\"noindex nofollow\">It supports reference-based generation from minimal inputs, including photos uploaded from a camera roll<\/a>. <a href=\"https:\/\/technologymagazine.com\/articles\/does-googles-veo-3-do-enough-to-distinguish-ai-and-reality\" target=\"_blank\" rel=\"noindex nofollow\">Google Flow outputs do not always carry Google\u2019s SynthID watermark; exceptions exist for videos generated by users with a Google AI Ultra plan<\/a>, which matters for some commercial uses.<\/p>\n<p>Google Flow functions as a cinematic production tool rather than a creator monetization platform. It has no NSFW pipeline, because SynthID watermarking and Google\u2019s content policies block adult content generation. It also lacks native scheduling and revenue analytics. The tool ranks here for raw generation quality and consistency technology, not for workflow completeness.<\/p>\n<p><strong>Hyper-Realism Score: 9\/10 | Monetization Funnel: None | Native Scheduling + Analytics: No<\/strong><\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Go from creation to revenue in one place \u2014 try Sozee\u2019s complete workflow.<\/strong><\/a><\/p>\n<h2>8. FLUX.2 (Black Forest Labs) \u2014 Open-Weight Benchmark Model<\/h2>\n<p><a href=\"https:\/\/bentoml.com\/blog\/a-guide-to-open-source-image-generation-models\" target=\"_blank\" rel=\"noindex nofollow\">FLUX.2 supports up to 10 reference images per generation with strong preservation of character identity, product appearance, and visual style<\/a>. <a href=\"https:\/\/bentoml.com\/blog\/a-guide-to-open-source-image-generation-models\" target=\"_blank\" rel=\"noindex nofollow\">Its distilled variant unifies text-to-image, image editing, and multi-reference generation in a single architecture with sub-second latency<\/a>. Several platforms in this ranking rely on FLUX.2 as a backbone model.<\/p>\n<p>FLUX.2 operates as a model rather than a full platform. Creators who use it directly must self-host or rely on third-party inference APIs, then assemble their own scheduling, analytics, and publishing stack. It appears here as a technology benchmark that explains why some platforms perform well, not as a standalone creator workflow solution.<\/p>\n<p><strong>Hyper-Realism Score: 9\/10 | Monetization Funnel: None (model only) | Native Scheduling + Analytics: No<\/strong><\/p>\n<h2>9. Midjourney V7 (Omni Reference) \u2014 Image Quality Without a Funnel<\/h2>\n<p>Midjourney V7\u2019s Omni Reference system delivers some of the highest aesthetic image quality available in 2026, with strong character reference locking across generations. For editorial, fashion, and brand imagery, the creative ceiling remains extremely high.<\/p>\n<p>Midjourney offers no video generation, no scheduling, no analytics, no NSFW pipeline, and no monetization workflow. It still operates through Discord, which adds friction for professional creator operations and agency teams. It ranks here purely on image generation quality, not on business impact.<\/p>\n<p><strong>Hyper-Realism Score: 9\/10 | Monetization Funnel: None | Native Scheduling + Analytics: No<\/strong><\/p>\n<h2>10. Kling AI \u2014 Strong Video With Strict NSFW Limits<\/h2>\n<p><a href=\"https:\/\/atlascloud.ai\/blog\/guides\/kling-ai-nsfw-policy\" target=\"_blank\" rel=\"noindex nofollow\">Kling AI enforces a three-layer moderation system with no NSFW toggle, no adult mode, and no API parameter to unlock explicit generation across all versions from 1.6 through 3.0<\/a>. For commercial, educational, and narrative video content, Kling produces strong, stable results.<\/p>\n<p>Any creator running a SFW-to-NSFW funnel hits a hard ceiling with Kling. <a href=\"https:\/\/atlascloud.ai\/blog\/guides\/kling-ai-nsfw-policy\" target=\"_blank\" rel=\"noindex nofollow\">Its restrictions are among the strictest of major video generation models in 2026<\/a>, which makes it a non-starter for adult workflows. It remains useful for mainstream video but never connects directly to adult monetization.<\/p>\n<p><strong>Hyper-Realism Score: 8\/10 | Monetization Funnel: SFW only | Native Scheduling + Analytics: No<\/strong><\/p>\n<h2>Comparison Table: Quality vs Workflow Completeness<\/h2>\n<p>The table below summarizes the core evaluation dimensions across all ten entries. Notice that only Sozee pairs a 10\/10 hyper-realism score with a complete monetization funnel and native scheduling plus analytics. Every other option sacrifices either generation quality, workflow depth, or both.<\/p>\n<table>\n<thead>\n<tr>\n<th>Platform<\/th>\n<th>Hyper-Realism Score<\/th>\n<th>Monetization Funnel<\/th>\n<th>Native Scheduling + Analytics<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Sozee<\/td>\n<td>10\/10<\/td>\n<td>Full (SFW\u2192NSFW\u2192Schedule\u2192Analytics)<\/td>\n<td>Yes<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/postcrest.com\" target=\"_blank\" rel=\"noindex nofollow\">Postcrest<\/a><\/td>\n<td>7\/10<\/td>\n<td>Partial (SFW only)<\/td>\n<td>Yes<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/getimg.ai\/blog\/how-to-create-consistent-characters-with-ai\" target=\"_blank\" rel=\"noindex nofollow\">getimg.ai<\/a><\/td>\n<td>8\/10<\/td>\n<td>Partial (image-focused)<\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td>Mage (Mango 2)<\/td>\n<td>8\/10<\/td>\n<td>Generation only<\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td>Adobe Firefly<\/td>\n<td>9\/10<\/td>\n<td>None<\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td>Leonardo.ai<\/td>\n<td>8\/10<\/td>\n<td>None<\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/blog.google\/innovation-and-ai\/technology\/ai\/google-io-2026-all-our-announcements\" target=\"_blank\" rel=\"noindex nofollow\">Google Flow<\/a><\/td>\n<td>9\/10<\/td>\n<td>None<\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/bentoml.com\/blog\/a-guide-to-open-source-image-generation-models\" target=\"_blank\" rel=\"noindex nofollow\">FLUX.2<\/a><\/td>\n<td>9\/10<\/td>\n<td>None (model only)<\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td>Midjourney V7<\/td>\n<td>9\/10<\/td>\n<td>None<\/td>\n<td>No<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/atlascloud.ai\/blog\/guides\/kling-ai-nsfw-policy\" target=\"_blank\" rel=\"noindex nofollow\">Kling AI<\/a><\/td>\n<td>8\/10<\/td>\n<td>SFW only<\/td>\n<td>No<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Building a Minimal 3-Tool Stack Without Sozee<\/h2>\n<p>Most creators who attempt a DIY stack combine a generation tool, a scheduling platform, and an analytics dashboard. They then discover that the handoffs between tools consume the time they hoped to save. For example, a creator might generate an image in FLUX.2, export it, upload it to Postcrest for scheduling, and then log performance data manually into a third analytics tool to track which posts drove revenue.<\/p>\n<p>A realistic minimum stack without Sozee often includes FLUX.2 or getimg.ai for generation, Postcrest for scheduling, and a separate analytics tool for revenue attribution. That setup means three subscriptions, three logins, and three points of failure. Each handoff adds minutes per asset, which compounds across a full content calendar.<\/p>\n<p>The only configuration that removes those gaps is a single platform that covers generation, editing, SFW-to-NSFW export, scheduling, and analytics natively. Many community builders already report burnout, and tool-switching overhead accelerates that trend. For creators and agencies in a market where the <a href=\"https:\/\/forbes.com\/sites\/jasondavis\/2026\/04\/01\/the-great-convergence-why-the-creator-economys-future-belongs-to-those-who-unite-social-brand-and-talent\" target=\"_blank\" rel=\"noindex nofollow\">North American creator economy is scaling toward $277 billion by 2032<\/a>, the advantage goes to whoever removes friction fastest. As shown in the ranking, only Sozee eliminates the need for external tools.<\/p>\n<h2>Consolidation Summary and Final CTA<\/h2>\n<p>Nine of the ten entries in this ranking deliver strong generation quality but stop before the revenue line. They create assets instead of income. The comparison shows that workflow consolidation, not just visual quality, separates Sozee from the field.<\/p>\n<p>Sozee turns a small set of source photos into scheduled, measured, monetizable content across SFW and NSFW pipelines for both individual creators and agency rosters. It does this without relying on a single external tool. The Content Crisis is real, and consolidation offers a practical path through it.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Consolidate your workflow \u2014 sign up for Sozee and turn your content into a revenue engine.<\/strong><\/a><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<p><strong>What monetization rules apply to AI-generated content on platforms like OnlyFans and Fansly?<\/strong><\/p>\n<p>OnlyFans, Fansly, and FanVue require that creators own or have rights to all posted content, including AI-generated material. Each platform also requires identity verification, whether the content features a real likeness or an AI persona. Content depicting minors or non-consensual scenarios is universally prohibited, and AI-generated characters must still comply with each platform\u2019s terms of service, which usually mirror local legal standards for adult content. Sozee\u2019s private, isolated likeness models help creators maintain ownership and control of their generated content without third-party training claims on the output.<\/p>\n<p><strong>How does a SFW-to-NSFW pipeline work safely, and what privacy protections matter most?<\/strong><\/p>\n<p>A SFW-to-NSFW pipeline usually starts with teaser content on mainstream platforms such as TikTok, Instagram, and X that drives traffic to gated adult platforms for premium content. Safety depends on content moderation compliance on each platform and on likeness data privacy. Creators should choose platforms that keep their likeness model private, avoid sharing it across users, and avoid using it to train other systems without explicit consent. Sozee follows this approach and keeps each creator\u2019s likeness model isolated. Platforms that repurpose user content or likeness data for broader AI training without clear opt-in create legal and reputational risk for creators in this pipeline.<\/p>\n<p><strong>What consistency benchmarks should creators expect from AI platforms in 2026?<\/strong><\/p>\n<p>In 2026, production-ready consistency means a character remains visually identical across images, video clips, and edited variants without retraining for each session. Facial structure, skin tone, proportions, and key features should remain stable. Reference-based systems using tools like IP-Adapter or dedicated character locks now perform close to fully trained LoRA models for most character types. For practical use, a creator should expect the same character to stay recognizable across a month of content with minimal manual correction. Sozee\u2019s likeness recreation from a small photo set meets this benchmark, with Photo Control and inpainting available to fix frame-level issues without new shoots.<\/p>\n<p><strong>Can agencies manage multiple creators on a single AI platform?<\/strong><\/p>\n<p>Most AI generation tools target individual creators and lack approval workflows, roster management, and multi-account scheduling. Sozee is designed for agency-scale operations. It supports separate private likeness models per creator, approval flows that maintain brand standards across a roster, and native scheduling plus analytics that reveal performance across all managed accounts. This structure removes the need to coordinate across several tools or track performance manually per creator, which often becomes the main bottleneck when scaling beyond a single talent.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Top AI content platforms for creators ranked in 2026. Sozee is the only full workflow\u20143 photos to scheduled, monetized revenue. Start free today!<\/p>\n","protected":false},"author":2,"featured_media":28404,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-8735","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tools"],"_links":{"self":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/8735","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=8735"}],"version-history":[{"count":1,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/8735\/revisions"}],"predecessor-version":[{"id":28405,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/8735\/revisions\/28405"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media\/28404"}],"wp:attachment":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media?parent=8735"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/categories?post=8735"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/tags?post=8735"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}