{"id":13168,"date":"2026-03-06T05:07:48","date_gmt":"2026-03-06T05:07:48","guid":{"rendered":"https:\/\/resources.sozee.ai\/resources\/ai-video-tools-virtual-influencers\/"},"modified":"2026-03-06T05:07:48","modified_gmt":"2026-03-06T05:07:48","slug":"ai-video-tools-virtual-influencers","status":"publish","type":"post","link":"https:\/\/www.sozee.ai\/resources\/ai-video-tools-virtual-influencers\/","title":{"rendered":"How to Build Virtual Influencers Who Post Daily"},"content":{"rendered":"<p><em>Last updated: August 1, 2026<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>Virtual influencer demand outpaces human supply 100-to-1, but generic AI tools create face drift and production bottlenecks that kill revenue.<\/li>\n<li>Identity locking from three photos or original generation eliminates appearance drift across every image, video, and live session.<\/li>\n<li>Reusable environments, outfits, and object libraries cut production time from 45 minutes to 20\u201325 minutes per finished clip.<\/li>\n<li>Native scheduling across six platforms plus Agent automation turns daily posting from a manual chore into a system output.<\/li>\n<li>Sozee consolidates the entire workflow, from likeness lock to automation, into one platform; <a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\">start building your locked virtual influencer today<\/a>.<\/li>\n<\/ul>\n<h2>1. Lock Likeness Before You Shoot<\/h2>\n<p><a href=\"https:\/\/intellemo.ai\/blog\/how-to-create-consistent-characters-in-ai-generated-videos\" target=\"_blank\" rel=\"noindex nofollow\">Appearance drift occurs because generative models make probabilistic predictions per frame instead of using a fixed 3D model<\/a>. Ambiguous prompts, long sequences, and disconnected multi-tool workflows compound the problem. Identity locking ties a character to an internal representation, so the system reuses the same facial structure, skin tone, and proportions across every generation instead of re-deriving them from text.<\/p>\n<p><a href=\"https:\/\/byteplus.com\/en\/topic\/578701\" target=\"_blank\" rel=\"noindex nofollow\">Creators maintain consistency by generating a high-quality hero image or character reference sheet from multiple angles and using it as a direct visual anchor for all subsequent video generations<\/a>. Sozee&#8217;s Cast workflow operationalizes this at the account level. Upload three photos and Sozee reconstructs the likeness with hyper-realistic accuracy, then generates front, quarter-turn, side profile, and back angles automatically. No training. No waiting. Likeness is locked from the first frame and held across every image, video, and Live Mode session that follows.<\/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<p>Builders who need a face that has never existed can use Sozee&#8217;s AI Character Builder to generate an original character from defined origin, ethnicity, skin, eyes, hair, physique, and distinctive detail parameters. This produces a consistent identity with zero source photography required. <a href=\"https:\/\/intellemo.ai\/blog\/how-to-create-consistent-characters-in-ai-generated-videos\" target=\"_blank\" rel=\"noindex nofollow\">Voice and lip-sync consistency are integral to character consistency; platforms that couple audio generation directly with facial animation maintain believable delivery when scripts or languages change<\/a>. Sozee&#8217;s voice cloning step, completed during Cast setup, closes that gap before the first shoot begins.<\/p>\n<h2>2. Build Reusable Worlds in One Afternoon<\/h2>\n<p><a href=\"https:\/\/intellemo.ai\/blog\/how-to-create-consistent-characters-in-ai-generated-videos\" target=\"_blank\" rel=\"noindex nofollow\">Maintaining consistent lighting, camera movement, and color grading across shots prevents a character from appearing to belong to separate productions<\/a>. Fragmented stacks force creators to re-describe environments in every prompt, which reintroduces visual inconsistency even when the character reference is locked. Sozee&#8217;s Photo Control solves this with five deliberate dimensions: Setting, Outfit, Shot style, Expression, and Object, each filled by upload, library selection, or inline @-reference.<\/p>\n<p>Saved environments extend asset reuse. A location is built from up to four reference photos, read as a whole so the room stays the same room across every shoot. Build a bedroom, a studio, or a branded product space once, then reuse it indefinitely so each saved environment becomes a consistent backdrop for future shoots. Outfit libraries follow the same pattern, assembling a full look from one piece per category (tops, bottoms, shoes, accessories) so you can dress the character without re-describing every garment. Object libraries extend this reuse pattern to props, holding up to four items per set that can be dropped into any scene.<\/p>\n<p><a href=\"https:\/\/apatero.com\/blog\/ai-virtual-influencer-video-pipeline-2026\" target=\"_blank\" rel=\"noindex nofollow\">Batching production in discrete phases reduces average time per finished 15\u201330 second video from 45 minutes to 20\u201325 minutes while maintaining character consistency across daily posts<\/a>. Every asset built in Sozee compounds, so each shoot makes the next one faster.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Start creating now \u2014 build your first locked virtual influencer world free.<\/strong><\/a><\/p>\n<h2>3. Generate Locked 5\u201315 Second Clips at Scale<\/h2>\n<p><a href=\"https:\/\/byteplus.com\/en\/topic\/578701\" target=\"_blank\" rel=\"noindex nofollow\">Breaking narratives into short 3\u20135 second clips focused on a single action or expression makes consistency easier to maintain than longer continuous scenes<\/a>. <a href=\"https:\/\/apatero.com\/blog\/ai-virtual-influencer-video-pipeline-2026\" target=\"_blank\" rel=\"noindex nofollow\">For daily short-form AI influencer content, generating 5-second test clips with motion-focused prompts achieves approximately 72% success rate on face-consistent, natural-motion output<\/a>. Sozee&#8217;s image-to-video pipeline extends this principle. Take any locked still from the Vault, direct the motion with camera moves, gestures, and mood, then generate clips up to 15 seconds at up to 1080p in every relevant aspect ratio.<\/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>Reel cloning accelerates format testing at scale. Paste an Instagram, TikTok, or YouTube link and Sozee rebuilds the reference clip&#8217;s motion in the locked character&#8217;s likeness. <a href=\"https:\/\/apatero.com\/blog\/ai-virtual-influencer-video-pipeline-2026\" target=\"_blank\" rel=\"noindex nofollow\">The workflow recommends batch-preparing 8\u201310 source images covering close-ups, lifestyle shots, and full-body poses for an entire week of content, enabling a single 3\u20134 hour production session to yield 7\u201310 finished videos<\/a>. Sozee&#8217;s Photo Shoot feature turns one source image into a coherent locked set of up to ten, covering a full range of angles, poses, and expressions, including a configurable SFW-to-NSFW arc, without re-prompting or re-uploading the character reference.<\/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>Text-to-video rounds out the pipeline. Describe an idea, review the expanded prompt before generation runs, and produce a clip without a source image. <a href=\"https:\/\/apatero.com\/blog\/ai-virtual-influencer-video-pipeline-2026\" target=\"_blank\" rel=\"noindex nofollow\">Final exports must be formatted per platform \u2014 1080\u00d71920 vertical H.264 at 30 fps for Instagram Reels and TikTok<\/a>. Sozee handles aspect ratio and resolution output control natively, eliminating the separate export step required by fragmented stacks. Once you have locked video clips at the right resolution, the next step is making them speak, which requires voice cloning and lip-sync that maintain the same consistency standard.<\/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<h2>4. Add Voice, Lip-Sync, and Live Performance<\/h2>\n<p><a href=\"https:\/\/apatero.com\/blog\/ai-virtual-influencer-video-pipeline-2026\" target=\"_blank\" rel=\"noindex nofollow\">Lip-sync must be applied on minimally moving base clips with clean audio, achieving roughly 65% immediately usable results when using separate post-generation tools<\/a>. Sozee eliminates the separate tool entirely. Voice cloning is set up during Cast, and Voice Notes let the character speak any typed message in her own voice without recording a session. Fan engagement and sponsored audio content are produced in seconds from the Vault.<\/p>\n<p>Live Mode adds a real-time performance layer. The character renders onto the creator&#8217;s webcam or phone feed, the creator acts, and the character performs, with frames snapped on demand. This produces authentic-motion stills and clips that bypass the probabilistic drift risk of purely generative pipelines. Virtual influencers that produce video and interactive content can earn more per follower than image-only characters. Live Mode closes that gap without additional hardware or software.<\/p>\n<p>Sponsored post rates for AI influencers increase with follower count and engagement, but within any follower tier, voice-enabled video-format characters command the upper end of the rate range because they can deliver more engaging sponsored content. Sozee&#8217;s integrated voice and Live Mode pipeline positions every virtual influencer built on the platform to compete at that premium tier from launch, rather than starting as an image-only account and upgrading later.<\/p>\n<h2>5. Schedule and Measure Across Three Platforms<\/h2>\n<p><a href=\"https:\/\/www.gemlist.io\/blog\/instagram-creator-monetization-requirements\" target=\"_blank\" rel=\"noindex nofollow\">Instagram and TikTok monetization eligibility is based on account type, age, policy compliance, follower counts, and view thresholds rather than any required posting frequency<\/a>. Meeting platform requirements manually across three platforms becomes the production bottleneck that caps most virtual influencer operations. Sozee&#8217;s Scheduler connects Instagram, TikTok, X, Facebook, Reddit, and Fanvue per character, not per account, and handles photos, carousels, reels, and stories with a caption per platform and a live preview of the real post before it goes out.<\/p>\n<p>Analytics split performance between what Sozee posted and what the creator posted, providing a direct attribution line for the platform&#8217;s contribution to impressions, reach, likes, comments, shares, and engagement. Only a small fraction of active AI influencer accounts on Instagram and TikTok generate significant monthly income, and the gap is almost entirely a scheduling and consistency problem, not a content-quality problem. A locked-likeness character posting daily on a native scheduler closes that gap structurally.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Get started \u2014 connect your channels and schedule your first virtual influencer post today.<\/strong><\/a><\/p>\n<h2>6. Close the Revenue Loop with Agent Automation<\/h2>\n<p>The Agent turns a half-formed idea into a finished shoot setup by interviewing the creator about only the gaps. It resolves the character, walks through missing context such as setting, wardrobe, shot, expression, and output, then writes directly into the prompt bar and Photo Control panel. When the conversation ends, the shoot sits one tap from Generate. The Agent also reads performance data, proposes content based on what has worked, writes captions, and schedules the post, completing the full production loop without manual direction at any step.<\/p>\n<p><a href=\"https:\/\/oakgen.ai\/blog\/ai-influencer-monetization-guide\" target=\"_blank\" rel=\"noindex nofollow\">The three-stage monetization sequence for AI influencers runs from affiliate links and UGC at 0\u201310K followers, to brand sponsorships and subscriptions at 10K\u2013100K, to licensing and white-label services at 100K+<\/a>. Agent automation makes that sequence executable at daily posting cadence without a production team. Most beginners earn under $100 per month in the first six months; only a small minority who post daily reach $1,000\u2013$5,000 per month, with $10K\/month typically requiring 12\u201318 months. The scheduling gap shows up in earnings, so the Agent&#8217;s automation turns consistent daily posting into a system output rather than a personal discipline requirement.<\/p>\n<p>AI influencer operating costs have decreased substantially compared to earlier CGI studio costs. Sozee&#8217;s end-to-end studio, covering Cast, Direct, Create, Refine, Publish, and Agent, consolidates that cost into one platform with no export dependencies.<\/p>\n<h2>Sozee vs. Runway, HeyGen, Synthesia, Higgsfield<\/h2>\n<p>The table below compares the four most commonly cited tools in the 2026 virtual influencer stack across four criteria that directly determine monetization viability. Every data point is cited inline.<\/p>\n<table>\n<thead>\n<tr>\n<th>Capability<\/th>\n<th>Sozee<\/th>\n<th>Runway<\/th>\n<th>HeyGen<\/th>\n<th>Synthesia<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Likeness lock<\/td>\n<td>Locked from 3 photos or original character generation, held across all images, video, and Live Mode (Sozee company context)<\/td>\n<td><a href=\"https:\/\/byteplus.com\/en\/topic\/578701\" target=\"_blank\" rel=\"noindex nofollow\">Character reference feature in Gen-3 Alpha helps maintain appearance across prompts but does not lock identity at the account level<\/a><\/td>\n<td>Avatar creation from video upload; <a href=\"https:\/\/intellemo.ai\/blog\/how-to-create-consistent-characters-in-ai-generated-videos\" target=\"_blank\" rel=\"noindex nofollow\">identity drift remains a documented risk in multi-scene projects without a fixed 3D model<\/a><\/td>\n<td><a href=\"https:\/\/intellemo.ai\/blog\/how-to-create-consistent-characters-in-ai-generated-videos\" target=\"_blank\" rel=\"noindex nofollow\">Frame-independent generation creates drift risk; no published identity-locking mechanism equivalent to a locked internal representation<\/a><\/td>\n<\/tr>\n<tr>\n<td>Video quality ceiling<\/td>\n<td>Up to 1080p, up to 15 seconds, every major aspect ratio (Sozee company context)<\/td>\n<td><a href=\"https:\/\/apatero.com\/blog\/ai-virtual-influencer-video-pipeline-2026\" target=\"_blank\" rel=\"noindex nofollow\">Kling 2.0 and WAN 2.2 cited as more reliable for face preservation and motion naturalness in 2026 pipelines; Runway not ranked first for close-up consistency<\/a><\/td>\n<td>Talking-head video up to 1080p; <a href=\"https:\/\/apatero.com\/blog\/ai-virtual-influencer-video-pipeline-2026\" target=\"_blank\" rel=\"noindex nofollow\">lip-sync applied as a separate post-generation step in multi-tool stacks, adding latency and consistency risk<\/a><\/td>\n<td>Presenter-style video up to 1080p; <a href=\"https:\/\/apatero.com\/blog\/ai-virtual-influencer-video-pipeline-2026\" target=\"_blank\" rel=\"noindex nofollow\">optimized for corporate training formats rather than short-form social reels requiring natural motion<\/a><\/td>\n<\/tr>\n<tr>\n<td>Asset reuse<\/td>\n<td>Saved environments (up to 4 reference photos), outfit library, object library, @-references, Vault, all reusable indefinitely (Sozee company context)<\/td>\n<td><a href=\"https:\/\/byteplus.com\/en\/topic\/578701\" target=\"_blank\" rel=\"noindex nofollow\">No published saved-environment or outfit-library system; creators re-describe settings per prompt<\/a><\/td>\n<td><a href=\"https:\/\/byteplus.com\/en\/topic\/578701\" target=\"_blank\" rel=\"noindex nofollow\">Template-based scenes available; no equivalent to a compounding asset library that locks environment, outfit, and object simultaneously<\/a><\/td>\n<td><a href=\"https:\/\/byteplus.com\/en\/topic\/578701\" target=\"_blank\" rel=\"noindex nofollow\">Scene templates available for corporate use cases; no influencer-oriented asset-reuse pipeline documented<\/a><\/td>\n<\/tr>\n<tr>\n<td>Native scheduling<\/td>\n<td>Built-in Scheduler for Instagram, TikTok, X, Facebook, Reddit, Fanvue, per character, with per-platform captions and analytics split (Sozee company context)<\/td>\n<td><a href=\"https:\/\/apatero.com\/blog\/ai-virtual-influencer-video-pipeline-2026\" target=\"_blank\" rel=\"noindex nofollow\">No native scheduler, export to third-party tools such as CapCut or scheduling platforms required<\/a><\/td>\n<td><a href=\"https:\/\/apatero.com\/blog\/ai-virtual-influencer-video-pipeline-2026\" target=\"_blank\" rel=\"noindex nofollow\">No native social scheduler, content exported for separate distribution workflow<\/a><\/td>\n<td><a href=\"https:\/\/apatero.com\/blog\/ai-virtual-influencer-video-pipeline-2026\" target=\"_blank\" rel=\"noindex nofollow\">No native social scheduler, platform designed for internal video distribution rather than public social posting<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Why Consolidating Your Stack Increases Revenue<\/h2>\n<p>Face drift, production bottlenecks, and revenue leakage share a single root cause: fragmented stacks that treat each generation as an isolated event. Locked likeness from Cast eliminates drift. Reusable environments, outfits, and objects eliminate the re-description bottleneck. The native Scheduler and Agent close the revenue loop by converting generated assets into scheduled, monetizable posts without manual intervention at any step.<\/p>\n<p><a href=\"https:\/\/www.marketresearch.com\/Straits-Research-v4257\/Virtual-Influencer-Size-Share-Trends-41123498\/\" target=\"_blank\" rel=\"noindex nofollow\">The virtual influencer market is projected to reach USD 111.78 billion by 2033 at a 38.4% CAGR<\/a>. Creators and agencies who capture that growth will be the ones who solve consistency and scale simultaneously, not the ones who assemble the most tools. Sozee is the only end-to-end studio built to do both.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Go viral today \u2014 get started with Sozee&#8217;s locked-likeness virtual influencer studio free.<\/strong><\/a><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How do you make AI influencer videos?<\/h3>\n<p>Making AI influencer videos in 2026 follows five sequential steps. First, establish a locked character identity by uploading three photos to reconstruct a real likeness or by generating an original face using an AI character builder. Second, set up reusable production assets such as saved environments built from reference photos, an outfit library, and an object library. Third, generate source images using a five-dimension control panel covering setting, outfit, shot style, expression, and object, then convert those stills to video using image-to-video generation, reel cloning from existing social content, or text-to-video prompting.<\/p>\n<p>Fourth, add a cloned voice and lip-sync so the character can deliver scripted or typed messages in her own voice. Fifth, schedule the finished clips directly to TikTok, Instagram, and YouTube from a native scheduler that handles captions, aspect ratios, and posting cadence per platform. Sozee executes all five steps inside a single platform, eliminating the export dependencies and identity drift that fragment multi-tool stacks.<\/p>\n<h3>Which AI tool is best for content creators building virtual influencers?<\/h3>\n<p>The most effective AI tool for content creators building virtual influencers locks character identity across every output type, including images, video, voice, and live performance, and connects that output directly to a publishing and analytics layer. Generic generation tools such as Runway, HeyGen, and Synthesia handle individual steps well but require separate tools for scheduling, asset management, and consistency enforcement, which reintroduces drift and production overhead at every handoff.<\/p>\n<p>Sozee is purpose-built for the monetization workflow. Cast locks likeness from three photos or generates an original character, Photo Control and saved assets eliminate re-prompting, the Scheduler posts daily across six platforms per character, and the Agent automates the entire loop for creators who prefer not to manage the controls manually. For agencies running multiple characters, isolated team workspaces keep every client&#8217;s assets, analytics, and connected accounts separate under one login.<\/p>\n<h3>Is it legal to create AI influencers?<\/h3>\n<p>Creating AI influencers is legal in most jurisdictions, subject to disclosure requirements that vary by platform and region. On TikTok, accounts must state in the bio that the character is AI-generated or virtual, and every post must carry the platform&#8217;s AI-generated content label. Paid partnerships require both the Branded Content toggle and the AI disclosure tag. On Instagram, Meta&#8217;s April 2026 policy requires AI-content labels on any Reel that includes substantially AI-generated imagery, video, or voice, and the platform also offers an opt-in AI Creator profile badge.<\/p>\n<p>YouTube requires creators to enable a disclosure toggle during upload for any realistic synthetic or altered content, after which the platform automatically adds an &#8220;Altered or synthetic content&#8221; banner. The EU AI Act Article 50, effective August 2, 2026, mandates labeling for AI-generated realistic content published without human review, applying directly to creators independent of platform policy. The FTC&#8217;s May 2026 guidance requires double disclosure on sponsored AI content, covering both the sponsorship and the AI involvement, with penalties up to $53,088 per violation.<\/p>\n<p>Proactively labeling AI-generated content results in minimal reach impact on TikTok, while retroactively flagged content can face distribution holds that reduce feed eligibility for 12\u201348 hours. Compliance is therefore both a legal requirement and a practical monetization protection measure. Sozee builds compliance and verification into the Cast setup step rather than treating it as an afterthought.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sozee locks your virtual influencer&#8217;s likeness and automates daily posting across 6 platforms. One platform, zero face drift. Start building today.<\/p>\n","protected":false},"author":2,"featured_media":13167,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,7,11],"tags":[],"class_list":["post-13168","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-influencers","category-ai-video","category-growth"],"_links":{"self":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/13168","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=13168"}],"version-history":[{"count":0,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/13168\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media\/13167"}],"wp:attachment":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media?parent=13168"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/categories?post=13168"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/tags?post=13168"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}