Deep-Y's AI Video Agent scripts, produces, and publishes video content across every major platform - autonomously. No video team, no production backlog, no single-format bottleneck. Just compounding video presence that runs itself.
A human video team produces 8-10 videos per month in one format. Deep-Y's AI Video Agent delivered 1,253 videos across 6 platforms in 6 months - every piece natively formatted, every platform covered, every week. The math on human video production does not survive contact with AI scale.
A typical in-house video team or freelance producer delivers 8-10 videos per month in a single format - usually a polished long-form video that gets cut down manually. Each platform gets the same repurposed asset, not a natively formatted piece. Production bottlenecks, review cycles, and scheduling delays mean inconsistent publishing.
The AI Video Agent produces platform-native videos at scale - vertical shorts for TikTok and Reels, widescreen for YouTube, square for LinkedIn and Facebook, native clips for X. Each platform version is scripted and formatted to its own content norms, not cropped from a master cut. 1,253 videos in 6 months for AirCentral. No production backlog.
Every video hire brings their aesthetic and workflow. When they leave, you lose their production setup, their understanding of your brand voice, and their platform instincts. The next hire starts from scratch. Brand consistency erodes across every team transition.
Deep-Y trains the AI on your brand positioning, tone of voice, content themes, and visual identity during onboarding. That context is locked into the system and compounds over time. Month 6 is more on-brand than month 1. No turnover, no drift, no retraining a new hire on what your brand sounds like.
Human teams use last month's performance data to inform next month's content. By the time a trending format is identified, scripted, filmed, and published, the window has closed. Creative iteration cycles in weeks, not hours. Platform algorithm changes go unaddressed for an entire production cycle.
Every published video feeds engagement, watch time, and conversion data back into the production pipeline. Top-performing angles, formats, and hooks are identified and replicated. Underperforming patterns are retired. The AI generates the next production batch informed by what actually worked - not what the team thinks worked.
Four phases from brief to a self-running video machine that publishes across 6 platforms every week.
We analyze your existing video performance, audience data, and competitor content patterns. We map your ICP to platform-specific content formats and identify the video angles most likely to drive engagement and inbound action for your specific offer. Output: a content theme map and production brief the AI builds from.
We train the AI on your brand voice, service positioning, and content pillars. It generates an initial library of scripts across short-form and long-form formats, each adapted to the platform it will publish on. We configure the production pipeline - video generation, voiceover, captions, platform formatting, and scheduling.
The AI Video Agent begins publishing across YouTube, LinkedIn, TikTok, Instagram, Facebook, and X on a consistent schedule. Each platform receives a version natively formatted to its specs. Captions, hashtags, and posting times are optimized per platform. You receive a weekly publishing calendar and performance dashboard.
Every video's performance data feeds back into the production queue. The AI identifies winning hooks, formats, and content angles from the prior batch and uses them to generate the next one. Underperforming formats are deprioritized. Month 3 consistently outperforms month 1 because the system accumulates what works for your specific audience.
Numbers from AI video systems Deep-Y has built and operated. These are actual production and performance figures, not projections.
AirCentral had zero consistent video presence before Deep-Y. We deployed the AI Video Agent across YouTube, TikTok, Instagram, LinkedIn, Facebook, and X. In 6 months the system produced and published 1,253 videos - averaging 209 per month - without a single in-house video hire. Inbound call volume from organic social increased 89% by month 5. The system runs without ongoing client input.
A B2B SaaS company needed to build organic video presence on LinkedIn and YouTube to reduce dependence on paid acquisition. Deep-Y's AI Video Agent produced 180 short-form and 24 long-form videos in 90 days. The content generated 4.7 million impressions with zero paid amplification - driving 340 demo requests directly attributed to video content during the period.
A professional services founder wanted to build a personal brand on LinkedIn and YouTube without spending time on content creation. Deep-Y trained the AI Video Agent on their speaking patterns, client language, and positioning. The system published 3-5 videos per week across platforms with zero founder time after onboarding. Inbound call volume grew 89% in 4 months, with discovery calls citing video content as the first touchpoint.
AirCentral had zero video presence. In 6 months the AI Video Agent produced and published across all 6 platforms - no video team hired.
Deep-Y's AI Video Agent scripts short-form and long-form video content based on your brand voice and content themes, produces the videos using AI generation tools, formats each piece for its target platform's specs, and publishes on a consistent schedule. It covers YouTube, LinkedIn, TikTok, Instagram Reels, Facebook, and X - from a single content brief to finished published video across all 6 platforms. You get a weekly publishing calendar and performance dashboard. Most clients provide zero ongoing input once the system is live.
A human video team produces 8-10 videos per month in one format. Deep-Y's AI Video Agent delivered 1,253 videos for AirCentral across 6 platforms in 6 months - that is 209 videos per month at a cost structure no human team can match. Beyond volume, AI never has a production backlog, never misses a publish window, and compounds performance data from every video into the next batch. A human team gets better slowly; the AI system compounds weekly.
Deep-Y's AI Video Agent publishes to YouTube (short and long form), LinkedIn (native video), TikTok, Instagram Reels and feed video, Facebook video, and X. Each platform receives a version formatted to its specific dimensions, caption style, and content norms - not cropped from a single master cut. Platform selection is based on your ICP and goals. Most clients start with 3-4 platforms in month one and expand as the system matures.
No. The AI Video Agent builds scripts from your brand voice, service positioning, and content themes - no input required beyond the initial onboarding brief. If you have existing footage or brand assets you want incorporated, we integrate them into the production pipeline. Most clients provide zero ongoing input once the system is live. The only time we come back to you is if your offer or positioning changes significantly enough to retrain the AI.
Book a free 60-minute strategy call. We'll audit your current video presence, identify your highest-impact platforms, and show you exactly what the AI Video Agent would produce for your brand - no commitment required.