Tutorial

How to Build a Localized Instagram Content Agent

An r/AI_Agents post built a Serbian-language Instagram agent for a Montenegro hotel. Walk-through with n8n + Scavio + Sheets handoff.

An r/AI_Agents post shipped an Instagram content agent for a Montenegro hotel — Serbian-language, ready to publish, output to Google Sheets so the client can edit. This walks the same pattern with Scavio for live local context.

Prerequisites

  • n8n
  • OpenAI/Anthropic/Gemini API key
  • Scavio API key
  • Google Sheets connected
  • Client's brand brief

Walkthrough

Step 1: Draft a per-client brand fingerprint (one-page)

Tone anchors + DON'Ts.

Text
// Brand fingerprint shape:
// - Sentence length: 8-15 words
// - Vocabulary: warm, sensory, local references
// - Don't: corporate jargon, English loanwords for things with native words
// - Signature opener: 'A vam smo pripremili...'
// - Signature closer: '#NazivHotela'

Step 2: Daily n8n cron: pull live local context via Scavio

Weather, events, news.

Text
// 'weather <city> <week>'
// 'site:visit-<country>.com events <month> <year>'
// 'reddit r/<country> <city> <month> 2026'

Step 3: Scavio call to website for current promotional content

What's the hotel currently pushing?

Text
// site:hotel-site.com promotion OR offer 2026

Step 4: LLM compose: rubric + fingerprint + Scavio context + post type

Single prompt, structured.

Text
// LLM prompt:
// You are writing 7 Instagram captions for the next 7 days for <hotel>.
// Brand fingerprint: <one-page>
// Live context: <Scavio events + weather + recent reviews>
// Output JSON: list of { day, caption_serbian, hashtags, image_brief }

Step 5: Write to Google Sheet with one row per post

Client-readable handoff.

Text
// Google Sheets node: append row per post with editable caption + hashtags + image brief

Step 6: Optional: post-approval auto-publish via Buffer/Later or Meta Graph API

When client signs off.

Text
// Buffer/Later node OR Meta Graph API: publish post when 'approved' column = TRUE

Python Example

Python
# Per-client-month: 30 posts × (1 LLM + 2 Scavio context calls) = ~90 calls. Scavio: $0.40 + LLM: $1-3 = under $5/client/month.

JavaScript Example

JavaScript
// n8n = JS-flavored expressions; full TS not required.

Expected Output

JSON
Daily/weekly Instagram captions in target language with live local context, written to a Google Sheet the client can edit and approve. Sheets handoff is the universal client interface.

Related Tutorials

Frequently Asked Questions

Most developers complete this tutorial in 15 to 30 minutes. You will need a Scavio API key (free tier works) and a working Python or JavaScript environment.

n8n. OpenAI/Anthropic/Gemini API key. Scavio API key. Google Sheets connected. Client's brand brief. A Scavio API key gives you 500 free credits per month.

Yes. The free tier includes 500 credits per month, which is more than enough to complete this tutorial and prototype a working solution.

Scavio has a native LangChain package (langchain-scavio), an MCP server, and a plain REST API that works with any HTTP client. This tutorial uses the raw REST API, but you can adapt to your framework of choice.

Start Building

An r/AI_Agents post built a Serbian-language Instagram agent for a Montenegro hotel. Walk-through with n8n + Scavio + Sheets handoff.