Hawaii Vibe Coders: Venice AI Automates Instagram, Video, and More — No Manual Work Needed

I've been watching our group turn chaos into calm — one automated post at a time.

What started as a joke about Instagram DMs turned into a full-blown AI-powered content engine.

And I'm here to show you how.

The Spark

From Memes to Architecture

It began with a meme post and a question: "Are you on there talking shit about us?"

That's when I realized — you weren't just posting. You were building.

Someone automated their Instagram to respond to DMs with generated images.

Another turned Telegram Q&A into carousel posts.

Someone else recycled Clawhub skills across agent frameworks.

This wasn't luck. It was architecture.

Technical Deep Dive

What Actually Works

Here's what I observed you all doing — and why it works:

Venice AI Handles Multi-Modal Input

Text prompts → image + caption + hashtags → scheduled post.

No manual copy-paste.

Stateful Workflows

Telegram bot collects user input → stores in Redis → triggers Venice AI generation → uploads to Instagram via API.

Skill Reuse is Game-Changing

Clawhub skills for image styling, tone modulation, or caption structuring are plug-and-play across Venice, Claude Code, and Cursor.

Async Queuing Prevents Rate Limits

You're not hitting Instagram's API directly on every message.

You're batching with Celery or RabbitMQ.

Prompt Templating with Variables

{{topic}}, {{mood}}, {{emoji_count}} — dynamic prompts that adapt to user responses in real time.

Code Examples

The Core Automation Flow

This is the core flow I saw replicated across three of you:

import venice_ai
from telegram import Update
from instagram_private_api import Client

async def handle_telegram_message(update: Update):
    user_input = update.message.text

    # Generate post with Venice AI
    response = venice_ai.generate(
        prompt=f"Generate an Instagram post about {user_input} in a chill Hawaii vibe. Use 3-5 emojis. Caption under 200 chars. Include 5 hashtags.",
        model="venice-media-v2",
        output_type="image+text"
    )

    # Upload to Instagram
    api = Client(username, password)
    api.upload_photo(response['image_path'], caption=response['caption'])

    # Log and respond to user
    await update.message.reply_text("Post live! 🌺")

Why This Matters

Building Income Streams

You're not just automating posts. You're building income streams.

One of you got paid for this. Another turned it into a micro-SaaS for local businesses.

Venice AI is Your Content Factory

Venice AI isn't a chatbot — it's your 24/7 content factory.

You're cutting out freelancers, agencies, and scheduling tools.

All with Python, a Telegram bot, and an API key.

Scalable Leverage

This isn't "cool tech." This is scalable leverage.

You're trading hours for API calls.

And API calls cost pennies.

Your Turn

What's the first thing you'll automate with Venice AI next?

A YouTube Shorts generator? A TikTok comment responder? A voice-over bot that turns your Telegram rants into audio clips?

Drop your idea below — I'll help you wire it up.