AI & Automation Stack · FreeMalta
Content & Social Stack
Research a topic. Draft the content. Schedule the post. Engage with responses. Five tools, one pipeline. News Beast runs a version of this. You can too.
Research
Perplexity
AI search
Create
Gamma
Visual content
or ElevenLabs
Publish
Buffer
Scheduling
or Brevo
Engage
ManyChat
Chat layer
Automate
Make.com
Backbone
or N8N
1
Perplexity
Research & Topic Discovery
Real scenario
You want to post about AI adoption in Malta's iGaming sector this week. You don't have time to read 20 articles.
Perplexity searches the live web, reads the sources, synthesises the key findings and gives you a briefing with citations. Takes 30 seconds. You now have the data, the angle and the sources — enough to brief Claude for the draft.
Perplexity searches the live web, reads the sources, synthesises the key findings and gives you a briefing with citations. Takes 30 seconds. You now have the data, the angle and the sources — enough to brief Claude for the draft.
Works well when
You need current data, not just training knowledge
Researching fast-moving topics (AI, markets, news)
Building a brief before passing to Claude
Verifying claims before publishing
Watch out
Not a replacement for deep editorial research
Sources vary in quality — always verify claims
Pro version needed for best results
2
Claude API
Content Drafting
Real scenario — News Beast pipeline
Perplexity returns a research brief on AI adoption in Malta. Make.com passes it to Claude API with a system prompt that defines the editorial voice: direct, data-led, no buzzwords, FreeMalta tone.
Claude returns a LinkedIn post (250 words), an Instagram caption (80 words) and a meta description for the article — all in one API call. Each formatted differently. Each in brand voice. The human reviews, approves or edits, and it flows to Buffer.
Claude returns a LinkedIn post (250 words), an Instagram caption (80 words) and a meta description for the article — all in one API call. Each formatted differently. Each in brand voice. The human reviews, approves or edits, and it flows to Buffer.
Claude API layer
Perplexity brief → Make.com → Claude API →
LinkedIn post + Instagram caption + meta → Human approval → Buffer
LinkedIn post + Instagram caption + meta → Human approval → Buffer
The system prompt is your brand voice document. Claude applies it consistently across every piece of content — so your LinkedIn sounds like you, not like a robot who read your LinkedIn.
Works well when
You have a defined brand voice in your system prompt
Human review checkpoint before publishing
Multiple formats from one brief
High volume content — daily posting
Watch out
Without a good system prompt, output is generic
Requires Anthropic API key and Make.com setup
Not for opinion pieces — that requires your voice
3
Gamma + Buffer
Visual Content & Scheduling
Real scenario
Claude's draft is approved. Gamma turns it into a carousel or presentation — the kind that gets 3x more engagement than plain text posts on LinkedIn. You export the slides, upload to Buffer. Buffer schedules the carousel for Tuesday 10am Malta time, the caption for Instagram at 6pm, and the article link for X at noon.
One piece of content. Three formats. Three platforms. Scheduled for the week. Time spent: 20 minutes.
One piece of content. Three formats. Three platforms. Scheduled for the week. Time spent: 20 minutes.
Works well when
Repurposing one idea across platforms
LinkedIn carousel content
Consistent posting schedule without daily effort
Small teams without a designer
Watch out
Gamma designs look similar — customise the template
Buffer analytics are basic on lower plans
Not a substitute for original creative campaigns
4
ManyChat
Chat Engagement Layer
Real scenario
Your Buffer-scheduled Instagram post goes live. Caption says: "Comment GUIDE and we'll send you the full report in your DMs."
ManyChat detects the keyword, automatically DMs everyone who comments with a personalised message and the download link. No manual work. You wake up to 80 new DMs, 80 new contacts in your list, and 80 people who received value from you — automatically, while you slept.
ManyChat detects the keyword, automatically DMs everyone who comments with a personalised message and the download link. No manual work. You wake up to 80 new DMs, 80 new contacts in your list, and 80 people who received value from you — automatically, while you slept.
Works well when
Lead magnet distribution via Instagram/Facebook
Comment-to-DM keyword automation
WhatsApp broadcast sequences
Messenger-based customer support
Watch out
Overuse feels spammy — keep sequences short
Instagram policy changes can affect flows
Not for complex support — pair with LiveChat
FreeMalta builds what it recommends.
News Beast. AnotherCandidate. This platform.
AI agents. Automated newsrooms. Workflows that run while you sleep.
AI agents. Automated newsrooms. Workflows that run while you sleep.
No templates. No "I came across your profile." No decks full of buzzwords.
If you need it built — let's talk.
Fractional CAIO
Off The Record
Frequently Asked Questions
What is a content and social automation stack?
A content and social automation stack is a set of tools that work together to research topics, draft content, schedule publication and engage with responses — automatically. The FreeMalta Content & Social Stack uses Perplexity for research, Claude API for drafting, Gamma for visual content, Buffer for scheduling, ManyChat for engagement and Make.com or N8N as the automation backbone.
Can AI write all my content automatically?
AI can draft, structure and schedule content — but the best results come from a human-in-the-loop approach. The FreeMalta workflow uses AI to handle the 80% (research, first draft, formatting, scheduling) and keeps humans in control of the 20% that matters most (voice, judgment, final approval). Content that works at scale is AI-assisted, not AI-replaced.
How does Claude API fit into content creation?
Claude API sits between your research tool (Perplexity) and your publishing tool (Buffer or ManyChat). It receives the research brief, applies your brand voice and style guidelines via a system prompt, and returns a structured draft. You review and approve. The approved content then flows automatically to Buffer for scheduling or ManyChat for chat-based distribution.
What is the difference between Buffer and ManyChat in this stack?
Buffer handles scheduled social media publishing — LinkedIn posts, Instagram captions, X threads. ManyChat handles conversational distribution — Instagram DM automation, WhatsApp flows, Messenger sequences. In a complete content stack, Buffer publishes the post and ManyChat engages with everyone who responds or DMs a keyword.
Does FreeMalta use this stack itself?
Yes. News Beast — FreeMalta's AI-native news platform — runs a version of this workflow. Firecrawl and Perplexity surface relevant stories, Claude API categorises and rewrites them in editorial voice, and the output feeds the News Beast publishing pipeline via Cloudflare Workers and Supabase. The social distribution layer uses a similar Make.com → Buffer workflow.
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