タラ・マイヤー
6月 4, 2026
Automated content creation is quickly becoming one of the most powerful growth levers in mobile marketing. But most teams are still doing it the wharf way: manually ideating, scripting, editing, and publishing content across multiple platforms while trying to keep up with an ever accelerating content cycle.
In a recent Tenjin 101 podcast episode, we sat down with Eldar Agayev, founder of an app founder community called Ship, to explore how AI agentics, specifically OpenClaw, are already being used to automate content pipelines, generate social media traction, and rethink user acquisition at scale.
This isn’t a theoretical discussion. Eldar has built a working system that creates, edits, and publishes content autonomously. Some of those videos have already crossed 700,000 views. He tells us how it works and what mobile marketing teams can learn from it.
Here’s what you’ll learn:
- What OpenClaw Is and Why It Matters
- How It Transforms Your Content Creation Pipeline
- How AI Creates an Organic Layer for Acquisition
- How to Build an Agentic Skillset
- Agentic AI Mobile Strategies
- Considerations When Using Automated Content Creation Tools
- Implications for Mobile Marketers
- 始め方
What Is OpenClaw and Why It Matters
OpenClaw is an open-source AI agent tool that allows you to build systems that can do tasks for you. That means not just generating content but also “doing” the work. Unlike traditional tools, OpenClaw doesn’t just generate outputs. It learns, executes, and improves over time using modular “skills.”
Unlike a standard AI writing tool or ad creative generator, OpenClaw behaves more like a system operator. It can analyze performance data, recreate winning formats, execute publishing workflows, and continuously refine its outputs, and mostly by itself.
Eldar explains it in refreshingly human terms:
“I like to treat it as a brain exercise—like an employee without tools. I see it as a human that can’t do things without learning exactly how to do it. That’s where skills come in. A skill is essentially an ability for AI to learn how to do certain things.”
You have to spend time training your agent.
These skills act as programmatic, structured instructions that guide the agent step-by-step, whether it’s editing a video, responding to emails, or executing a growth workflow. For mobile marketers, this represents a shift from manual execution to more of system design.
What makes OpenClaw especially relevant for mobile marketers is its ability to go beyond static tools or AI ads generator platforms. Instead of producing creatives, it can do all sorts of useful tasks:
- Analyze content performance
- Reiterate winning formats
- Execute publishing workflows
- Continuously improve over time
In other words, it behaves less like a tool and more like an operator. Eldar’s own setup reflects how seriously he treats this:
“In my case, it runs on a private server—essentially a VPS—that is only accessible by me. I did the whole setup for OpenClaw on that server. Physically, it’s somewhere in the UK. You don’t need a Mac Mini to run it—you just need a reliable setup. It feels almost alive, like something is living inside it, and that’s exactly how I want my agent to behave.”
For teams exploring automated content creation, OpenClaw represents a new category entirely because you’re not just optimizing workflows, you’re also delegating them.
Automated Content Creation: From Ideation to Published Video
One of the most compelling use cases discussed in the episode is fully automated content creation for TikTok and Instagram. This is a workflow where AI handles everything from ideation to publishing without human intervention.
For most mobile marketing teams, content creation requires ideation, scripting, editing, formatting, scheduling, and publishing. It demands time, talent, and coordination. When you multiply that across platforms and formats, you’re looking at a significant operational burden that limits speed and frequency.
OpenClaw fundamentally changes this.
Eldar describes a pipeline where the AI agent manages the entire content lifecycle:
“You could, for example, download a skill that helps you create TikTok videos, publish them, get views, and acquire users. That’s exactly what I’m doing right now. I just got approved by Meta, TikTok, and YouTube to post from my own platform and automate the process. I’ve exposed an endpoint to OpenClaw, and it can use that endpoint to create videos and upload them to TikTok and Instagram.”
How it Transforms the Content Creation Pipeline
The automated content creation process Eldar has built follows a clear, repeatable sequence:
- Content Analysis — The agent scans existing high-performing content across platforms, identifying patterns in format, structure, pacing, and engagement signals. It starts with data.
- Format Recreation — Based on what it learns, the agent recreates similar formats tailored to the brand and audience.
- Video Editing — The agent handles production work: cutting clips, adding music, layering text, and assembling the final video.
- Publishing — Once the content is ready, the agent publishes it directly to the target platform.
Eldar demonstrated this with a striking example:
“One posted a day ago already has 2,000 views and 52 likes, and it was 100% created by OpenClaw. I created a skill that explains exactly how I want the videos made, with some flexibility — it can pick its own images, write its own text, choose its own music — but the overall format follows my instructions so it doesn’t hallucinate a new format that won’t perform well.
The agent didn’t just replicate the surface-level aesthetics. It understood the underlying structure and applied those principles to every piece of new content it creates.
An Organic Layer for Acquisition
“Some videos have gotten over a thousand views in just two days.”
For content that was created, edited, and published entirely by an AI agent with zero human involvement, those numbers represent a meaningful proof of concept. The marginal cost of producing each additional piece of content is near zero, so even modest per-video performance compounds quickly at scale.
“The more I publish, the more active I am on social media — and with OpenClaw I can automate the entire content creation process.”
His strategy is simple:
“People see the video, notice ‘made with Space AI app’ in the caption, go search for it in the App Store, and download it.”
Even with modest conversion rates, the scale makes it powerful:
“Probably only about 0.1% of viewers will do that — roughly one user per thousand views.”
But there’s a huge difference, simply because the process is automated. There are no weekends or holidays, no after work hours.
“The scale potential is enormous.”
Consider the math: if a single automated video generates a thousand views, and you’re producing dozens or hundreds of videos per week, the cumulative reach becomes substantial. That’s organic visibility you’re not paying for on a per-impression basis.
This creates new growth loops for many mobile apps. It’s driven by content velocity instead of ad spend. AI content automation for mobile apps not only widens reach, but also creates low cost, organic user acquisition opportunities.
How to Build An Agentic Skillset
With proof that AI-generated content can drive engagement, the next step is teaching your AI agent the skills it needs to execute these strategies. Eldar explains that OpenClaw is more than just a tool; he describes it as a “brain” for your automation workflows.
“What we have here is ClawHub, which is a hub of skills. It currently has 11,000 different skills published by the community. A skill is essentially an ability for AI to learn how to do certain things. It could be a broad skill—like how to edit videos, covering cutting, adding music, searching for inspiration—or it could be a very specific skill, like how to edit podcasts for a YouTube channel with a step-by-step process.”
Build Your Skill Stack
For mobile marketing teams getting started, think about skills in three buckets.
| The Automated Content Creation Skill Stack | ||
| Foundational | Distribution | Intelligence |
| Core content production | Platform publishing | Performance analysis |
| Video editing, caption writing, image selection | TikTok upload, IG posting, YT scheduling | Engagement pattern recognition, format iteration |
Start with foundational skills and validate that your agent produces on-brand output. From there you can layer in distribution and intelligence as it grows.
But he also nods to caution:
“Your agent—John—can actually search for and install skills on its own. One word of advice: always be highly suspicious. Do not download things you don’t know about, because anyone can upload to ClawHub. They have implemented some security features, which is good, but always be careful.”
By curating and using these skills, marketers can teach AI agents to perform complex tasks automatically, from video editing to content planning, all while maintaining safety and control.
Agentic AI Mobile Strategies
OpenClaw’s capabilities enable marketers to automate social media content at scale. Eldar shares a real-world example:
“For that app, we have a TikTok account where we post room redesign videos. One video got 38,000 likes, 25,000 comments, and over 700,000 views. And some of those videos—like this one—were posted 100% by OpenClaw. I did nothing. I showed it a previous video that got 700,000 views and said, ‘Make similar videos.’ You can see it uses the same font, the same style—it just changes the room design and layout.”
This example illustrates the two qualities that make agentic AI genuinely powerful for content at scale:
Scale
The agent can produce content volume that no human team can match without significant resource involvement.
Consistency
The agent applies the same brand rules, format guidelines, and quality standards to every single piece of output. Brand drift (a common problem as content production scales) becomes less of an issue.
The key advantages are scale and consistency. Two things that are pertinent to building a strong brand content. OpenClaw has the power to analyze previous content, identify patterns, and generate similar posts automatically, freeing teams from repetitive tasks while maintaining brand quality.
The result is a system where marketing teams can shift their focus from execution to strategy. Concentrating more on what a brand sounds like, which formats to pursue, and which creative direction to explore next.
Considerations: Automated Content Creation Tools
Single Agent vs. Multi-Agent Architecture
One of the most practical decisions teams face when building agentic systems is whether to run a single versatile agent or multiple specialized ones. Eldar runs a single agent — his “John” — and explains why:
“Should you create multiple specialized agents, or make one agent robust enough to handle multiple things? I have one John that can do many things, and I just explain exactly what I want him to do.”
The case against multi-agent setups:
Token consumption
Multiple agents burn through tokens significantly faster, which compounds into real cost at scale
Fine-tuning overhead
Each agent requires separate training and calibration
Complexity without clear upside
For most marketing use cases, a well-trained single agent can handle the full workflow
That said, as your use cases multiply and specialize, a multi-agent architecture may eventually make sense. Start simple, then evolve.
Infrastructure Requirements
You don’t need enterprise-grade infrastructure to get started. A reliable VPS (Virtual Private Server) is sufficient for most setups. Eldar runs his on a UK-based server, accessible only to him — simple, secure, and cost-effective.
Maintaining Human Oversight
Automation doesn’t mean abdication. Eldar’s built-in safety mechanism is a 24-hour content review window:
“Whenever OpenClaw plans content, it always schedules it 24 hours ahead. I can log into the dashboard and review what it created before it goes live. That’s my safety mechanism — I want to make sure it never produces content that could hurt my brand or perform poorly.”
This is best practice for any team implementing automated content creation. Define clear brand guardrails, build in a review step, and treat the agent’s output as a first draft until you’ve validated its judgment over time
Implications for Mobile Marketing Teams
For growth teams trying to figure out how to scale branded content production without scaling team size, this is a consideration, it’s a working model. Automated content creation with AI agents offers a new path: define the format once, and let the system scale it.
| The New Way of Work at a Glance | |
| Traditional Content Team | Agentic Content System |
| Manually ideates each piece | Analyzes top performers and recreates formats |
| Edits and formats by hand | Automates production end to end |
| Scales by adding headcount | Scales by adding skills and volume |
| High marginal cost per piece | Near-zero marginal cost per piece |
The human role shifts from execution to direction. It doesn’t disappear, but it evolves. Marketing teams can spend most of their time deciding what the brand sounds like, which formats to pursue, and guidelines. The agent handles the repetitive, high-volume execution that would otherwise consume bandwidth.
The opportunity here is significant, but it rewards teams who invest in building the right workflows, defining clear creative boundaries, and staying actively engaged with the output their agents produce. It rewards teams who:
- Invest time building the right workflows upfront
- Define clear creative brand guidelines for the agent
- Stays actively engaged with the content their agents produce
- Treat automation as a system to manage, not a button to push
By embracing AI automated content creation, mobile marketing teams are redefining limitations.
はじめに
Curious and want a deep dive into how to create your own agent? If you’re ready to explore agentic content creation for your mobile app, here’s a practical starting point:
Set up your infrastructure
A basic VPS is sufficient to get started
Install OpenClaw
Familiarize yourself with the interface
Browse ClawHub for relevant skills
Focus on video editing and platform publishing to start
Define your format guidelines
Give your agent a clear brief on style, tone, and structure before it produces anything
Run a controlled test
Start with one platform, one content format, and review every output before it publishes
Measure and iterate
Track views, engagement, and downstream installs to validate what’s working
Watch the Full Episode
Want to see Eldar’s full setup, live demonstrations of OpenClaw in action, and a step-by-step walkthrough of how to build your own agentic content system? Watch the video above or find it here.
