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How I Fully Automated My Instagram Reels (Claude Opus 5.5)
Brendan Jowett
Overview
This video demonstrates how to fully automate Instagram Reels creation and posting using Claude AI agents and the Treyg platform. The process involves four AI agents: one for identifying viral content, another for scriptwriting, a third for video editing (including graphics and music), and a final agent for posting to Instagram as 'trial reels' to test performance. The system leverages Treyg to connect Claude with Instagram's API, allowing for seamless automation. The tutorial covers setting up Claude Code, using Treyg for integrations, and building each agent step-by-step, showcasing how this can lead to significant view growth on a new Instagram account.
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Chapters
- The automated system generated over 1 million views on a new Instagram account in under 7 days.
- One reel achieved over 670,000 views, fully edited by AI, requiring only the user to film the footage.
- The system uses four Claude agents for content ideation, scriptwriting, editing, and posting.
- Treyg is used to connect Claude to Instagram's API and other tools, enabling automation.
- Trial reels are used to AB test different hooks and editing styles, identifying high-performing content.
Seeing the impressive results upfront motivates learners and illustrates the potential power of AI automation for social media growth.
A reel about a GeoGuessr skill that identified a location from an oven next to a rice field, showcasing detailed AI analysis of background elements like power lines and mountain shapes.
- Claude Code desktop app is required; a paid plan (Pro or Max) is necessary for full functionality.
- Treyg acts as an intermediary (MCP) to connect Claude with thousands of tools, including Instagram, without requiring separate subscriptions for each tool.
- Treyg simplifies Instagram integration by bypassing the need for manual developer app setup in Meta Business Suite.
- Treyg's key feature for this system is its support for uploading 'trial reels' in bulk.
Understanding the necessary tools and their setup is crucial for replicating the automated system.
Connecting an Instagram account to the Treyg dashboard by simply logging in, which then allows Claude to interact with the account.
- Video ideation can be automated by using Claude to scan platforms like X (Twitter) for viral posts or news from AI labs.
- A manual review step is essential to filter out poor ideas generated by AI before scriptwriting begins.
- A pre-built 'reel script writing' Claude skill can be installed to ensure scripts prioritize engaging hooks and appropriate length.
- Claude generates five script variations for each topic, allowing for diverse content creation and testing.
Efficiently generating and refining content ideas and scripts is the foundation of a successful content strategy.
Asking Claude to find 10 unique GitHub repositories of Claude skills, then selecting 'Immortal Skill' (a digital immortality framework) as a topic for a reel.
- After filming the script, Claude can automatically edit the raw footage into a finished reel.
- A custom Claude 'video editing' skill can be installed to manage editing requirements like text fonts, motion graphics, and clip timing.
- Claude handles tasks such as cutting pauses, adding captions, music, and sound effects.
- The system can create multiple edited versions of the same footage with different styles (e.g., dark mode vs. light mode) for A/B testing.
Automating the complex and time-consuming video editing process significantly speeds up content production.
Claude taking a raw recording, transcribing it, and producing a polished reel with graphics, text overlays, and a call to action, similar to professionally edited content.
- The Treyg MCP is used to publish the edited reels to Instagram as 'trial reels' automatically.
- Claude handles the technical process of uploading video files to a server and then providing the link to Instagram.
- Automated Direct Message (DM) sequences can be set up using tools like ManyChat, triggered by comments on reels.
- Claude can automate the setup of these ManyChat automations, including adding links and requesting follows.
Fully automating the posting and follow-up engagement process allows for scalable content distribution and audience interaction.
Claude setting up a ManyChat automation for a reel by adding a comment prompt ('Immortal'), enabling a follow gate, and providing the relevant GitHub link in direct messages.
Key takeaways
- AI agents can automate the entire workflow of Instagram Reels creation, from ideation to posting.
- Leveraging platforms like Treyg is essential for connecting AI models to social media APIs and other tools.
- The 'trial reels' feature on Instagram is a powerful tool for A/B testing content variations and identifying what resonates with audiences.
- While AI can handle editing, filming the core footage is still a necessary manual step for optimal results.
- Investing in paid AI tools and platforms is often required to unlock advanced automation capabilities.
- Automating content creation frees up creators to focus on strategy, refinement, and other high-level tasks.
- The combination of AI-generated content and automated distribution can lead to rapid audience growth.
Key terms
Claude AgentsInstagram ReelsTreygAPI (Application Programming Interface)MCP (Multi-Cloud Platform)Trial ReelsVideo IdeationScriptwritingAI Video EditingAutomated PostingA/B TestingCall to Action (CTA)Direct Message (DM) AutomationManyChat
Test your understanding
- How do Claude agents contribute to the automation of Instagram Reels, and what are the roles of the four agents mentioned?
- What is the function of Treyg in this automated system, and why is it considered a crucial tool for connecting Claude with Instagram?
- Explain the concept of 'trial reels' and how they are utilized within this automated workflow for content optimization.
- Describe the end-to-end process of creating and publishing an Instagram Reel using the described AI automation system, from ideation to posting.
- What are the potential benefits and limitations of using AI for video ideation and editing, based on the video's content?