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Multi-Host AI Podcast & Daily News Broadcast Studio (5-in-1 Automated Media Network Kit)
Turn live RSS feeds and web trends into daily two-host debate podcasts and lip-synced AI video broadcasts automatically using n8n on Hostinger VPS, ElevenLabs multi-speaker synthesis, and HeyGen avatars.
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What if? 4 scenarios
Scales Broadcast Episodes Produced per Month (units) and Average Episode Duration (minutes) by ×0.8, ×1.0, ×1.2 and ×1.5. Other inputs stay as you set them.
| Metric | Conservative ×0.8 | Base ×1 | Growth ×1.2 | Aggressive ×1.5 |
|---|---|---|---|---|
| Calculating… | ||||
Multi-Host AI Podcast & Daily News Broadcast Studio (5-in-1 Automated Media Network Kit)
- Offline Interactive Pro Simulator & 4-Scenario Matrix (.html)
- Google Sheets & Excel 4-Scenario Financial Model (.tsv / .csv)
- Google Sheets Custom Automation Apps Script (.gs)
- Ready-to-Import n8n / Make.com Automation Blueprint (.json)
- Executive SOP Checklist & Copy-Paste AI Agent System Prompts (.md)
Take the toolkit with you
Templates, prompts and the full workflow as a ZIP.
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Step-by-step workflow
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1. Provision Self-Hosted n8n & FFmpeg Worker on Hostinger Cloud VPS
Deploy an Ubuntu Docker & Coolify stack on a Hostinger Cloud VPS to eliminate cloud execution timeouts and per-operation taxes. Install n8n with a local FFmpeg container so your workflow can stitch multi-track audio and video broadcasts locally at zero marginal compute cost.
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2. Automate Live News Ingestion & Deduplication via Make.com / n8n
Configure a scheduled RSS and webhook listener in n8n or Make.com that pulls breaking stories every morning from top industry sources. Pass the raw article payloads through a vector filter or JSON deduplicator so your AI newsroom only covers high-signal, non-repetitive stories.
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3. Generate Multi-Host Debate Scripts with Structured JSON Output
Feed the curated news summaries into an LLM node using our strict two-host JSON schema prompt. This structures the broadcast into natural back-and-forth banter between Host A (Anchor) and Host B (Analyst), complete with vocal emotion tags and pacing cues.
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4. Synthesize Multi-Speaker Audio Tracks via ElevenLabs API
Iterate over the JSON dialogue array in n8n and call the ElevenLabs Text-to-Speech API using two distinct, cloned voice IDs with turbo latency settings. Concatenate the returned MP3 segments and normalize loudness using your local VPS FFmpeg worker.
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5. Render Lip-Synced Broadcast Video with HeyGen & Auto-Publish
Send the finalized audio track or segment timestamps to the HeyGen Video Avatar API to generate a studio-quality virtual news anchor broadcast. Once the async webhook returns the rendered MP4, automatically syndicate the episode to YouTube, Spotify, and your newsletter.
Ready-to-use AI prompts
Prompt
You are an award-winning daily news podcast showrunner. Convert the following raw news articles into a lively, fast-paced 5-minute broadcast script between two hosts: 'Alex' (sharp lead anchor) and 'Sam' (pragmatic industry analyst). Output strictly as a valid JSON array of objects with keys: 'speaker' ('Alex' or 'Sam'), 'voice_stability' (number 0.35 to 0.65), 'VisualCue' (headline text for video overlay), and 'dialogue' (conversational spoken text under 280 characters per turn, using natural transitions and zero robotic cliches).
Prompt
Review the provided JSON podcast dialogue array and optimize every 'dialogue' string for ElevenLabs Turbo v2.5 voice synthesis. Insert natural breath pauses using dashes ('—'), spell out ambiguous acronyms phonetically, and add subtle emotional emphasis so the multi-speaker turn-taking sounds like an authentic live studio recording. Return the exact same JSON structure.
Prompt
Based on today's broadcast JSON script, generate: 1) Three high-CTR YouTube/Spotify episode titles under 60 characters, 2) A timestamped show notes summary with source links, and 3) A HeyGen API scene configuration JSON specifying lower-third ticker text, b-roll overlay prompts, and avatar gesture cues for the lead anchor segments.