Create an AI content agent with Telegram, Gemini, and Blotato (no-code)
Description
Automatically turn a simple Telegram message into fully researched, AI-generated visual content and publish it to multiple social platforms using Blotato — with async processing control and built-in status validation.
This workflow creates a complete:
Telegram → AI → Research → Visual → Publish → Confirm
automation pipeline.
Who is this for?
This template is ideal for:
Content creators automating daily posting
Solopreneurs building a 24/7 AI content engine
Agencies managing multiple social accounts
AI automation builders integrating Telegram + Blotato
Teams that want a Chat → Publish pipeline
If you want to control your entire content system from a single Telegram chat, this workflow is for you.
What problem is this workflow solving?
Manual content production usually requires:
Researching topics manually
Switching between AI writing tools and design tools
Waiting for rendering without clear status updates
Posting separately to each platform
No centralized confirmation system
This workflow connects research, media generation, publishing, and confirmation into one automated orchestration system.
What this workflow does
This automation workflow:
Accepts a topic or request via Telegram Bot
Sends the message to an AI Content Orchestrator
Uses AI model + conversation memory for context
Creates a Source job via Blotato (research stage)
Waits for structured content extraction
Retrieves processed research data
Creates a Visual generation job (infographic or slideshow)
Waits for AI rendering
Retrieves final media asset
Publishes automatically to:
Instagram
LinkedIn
Sends confirmation back to Telegram
Workflow pattern used
Trigger → Analyze → Create → Wait → Retrieve → Validate → Publish → Confirm
Setup
- Configure Telegram Trigger
Use Telegram Bot Trigger
Connect your Telegram Bot token
Set update type to message
Ensure bot permissions are enabled
This is the entry point of the system.
- Configure AI Core (Orchestrator)
Connect:
AI Chat Model
Conversation Memory storage
Ensure:
User message is mapped correctly into the AI prompt
Memory is attached for contextual responses
Output is structured for downstream routing
- Configure Blotato Research Engine
Create Source
Connect Blotato credentials
Map topic/content request correctly
Store Source ID
Wait for Source Processing
Add a Wait node
Adjust delay based on API performance
Get Source
Retrieve structured research output
Validate status = completed
Only completed sources proceed to visual generation.
- Configure Blotato Media Engine
Create Visual
Connect Blotato credentials
Map structured content into visual prompt
Select infographic or slideshow format
Wait for Rendering
Adjust timing based on rendering duration
Get Visual
Retrieve generated media
Validate status = completed
- Configure Distribution
Publish to Instagram
Connect Instagram credentials
Verify posting permissions
Publish to LinkedIn
Connect LinkedIn credentials
Confirm correct profile or page selection
Both platforms publish automatically once media is validated.
- Configure Telegram Response
Use Telegram Response Sender
Send success confirmation
Optionally include published links
Add failure branch notification if needed
This keeps the entire workflow controlled from one chat interface.
How to customize this workflow
You can extend this workflow by:
Adding Telegram approval before publishing
Generating AI captions and hashtags dynamically
Adding retry logic for failed jobs
Logging execution results into Google Sheets
Expanding to Facebook or TikTok
Adding analytics tracking
Best practices
Keep wait durations aligned with API speed
Always validate job status before proceeding
Maintain consistent ID mapping (Source ID / Visual ID)
Monitor failed execution branches
Test with simple content before scaling
Nodes used in workflow
Telegram Trigger
AI Chat Model
Memory Store
HTTP Request (Blotato API)
Wait
Switch
If
Sticky Note
Free or Paid?
Depends on:
Blotato plan
AI model usage
Social platform API limits
This workflow transforms a Telegram message into a fully automated, multi-platform AI content system running 24/7 — including research, visual creation, publishing, and confirmation.
(Watch the tutorial video on YouTube)[https://youtu.be/WdTimRjiiH8]
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