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Clients who sell products or build personal brands on TikTok need a constant stream of on-camera content but hate recording themselves. This AI automation turns a single Telegram message into a fully produced, lip-synced avatar video ready to post, without the client ever touching a camera.
What This Automation Does
- Pulls current TikTok trend data via Perplexity AI and feeds it into a script-writing prompt so every video is built around what is already performing
- Uses GPT-4 to write a punchy 10-second script optimised for short-form virality, then sends the text to ElevenLabs to generate a natural-sounding cloned voiceover
- Animates a Veed.io AI avatar with lip-sync matched to the generated audio, producing a complete talking-head video without any recording session
- Writes a platform-ready caption and hashtag set for each video and logs the output to Google Sheets so client deliverables are tracked by month
Tools Used
- Telegram
- OpenAI
- ElevenLabs
- Google Sheets
- Veed
Where to Get Hired for This Skill
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Wire Telegram as the content trigger
A Telegram bot receives a topic or keyword from you or your client and passes it downstream as the seed for every other step, making the whole pipeline kickoff from a single chat message.
Fetch live trend data with Perplexity
Perplexity AI runs a real-time search against current TikTok trends related to the topic, returning a structured summary that grounds the script in formats and angles that are already gaining traction.
Write and validate the viral script with GPT-4
GPT-4 receives the trend summary and generates a 10-second script written for spoken delivery, with a hook in the first two seconds and a clear call to action, then the output is checked for length before moving forward.
Clone the voiceover through ElevenLabs
The approved script text is sent to ElevenLabs, which synthesises a voiceover using the client's cloned voice profile, returning an audio file timed to fit the short-form format.
Animate the avatar and log the delivery
Veed.io's Fabric model via FAL.ai renders the AI avatar video with lip-sync applied to the ElevenLabs audio, then the finished video file path, caption, and hashtags are written as a new row in Google Sheets for client handoff.
Pitfalls
- ElevenLabs voice clones degrade in perceived quality if the client's source audio was recorded in inconsistent acoustic environments, so always audit the clone against a sample script before delivering the first batch to a client.
- Veed.io's avatar rendering API has queue-based rate limits that can stall bulk jobs, and if the workflow does not include a retry handler with an exponential backoff, a single timeout will silently drop videos from the delivery count.
- Perplexity trend data is time-sensitive and can return stale or regionally skewed results if the query is not scoped correctly, meaning scripts built on bad trend signals will underperform and damage client trust in the service.
FAQ
Can I build this without coding?
Yes. Every connection in this workflow uses visual configuration and API keys rather than custom code. The most technical step is authenticating each service, which involves copying credentials from each platform's developer dashboard into the workflow settings.
How long does it take to build?
Expect four to six hours for a first build including testing, assuming you have active accounts on all required platforms. Setting up and approving the ElevenLabs voice clone for a new client typically adds another one to two hours outside the workflow itself.
What can I charge for this service?
Pricing is yours to set based on your market and positioning. A monthly retainer structured around a fixed video volume, such as 30 videos per month, is a common packaging approach that makes the service feel like a managed content operation rather than a one-off project.
Which tool is required vs optional?
OpenAI, ElevenLabs, and Veed.io are core to the video output and cannot be swapped without rebuilding significant parts of the workflow. Telegram is the default trigger but could be replaced with a form or a Google Sheets row. Google Sheets for delivery logging is optional but strongly recommended when managing multiple clients.
This is original DigiNo analysis. The underlying automation pattern is a community workflow template – view the original on n8n.
Get Job Alerts
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