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Local Core – AI Content Engine

An automated AI content pipeline that curates 100+ tech articles daily, scores them for virality, generates LinkedIn-optimized posts with AI visuals, and publishes autonomously.

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Technologies Used

DjangoCeleryRedisGemini AIDockerLinkedIn API

Pipeline Architecture

RSS Feeds + Google News + Hacker News
              ↓
    Content Ingestion (100+ candidates)
              ↓
    Viral Scoring Engine (relevance + tech keywords)
              ↓
    "King" Selection (highest scored article)
              ↓
    LLM Post Assembly (Gemini Pro/Flash)
              ↓
    Visual Generation (Multi-provider cascade)
              ↓
    LinkedIn API Publishing

Key Technical Decisions

Content Discovery

  • RSS Feeds: Curated feeds from OpenAI, Anthropic, Cloudflare blogs
  • Google News: Broad industry discovery layer
  • Hacker News: Top 50 trending developer stories

Viral Scoring

  • Priority boosts for major AI breakthroughs and version releases
  • Developer guardrails rejecting consumer tech noise
  • Expert source weighting for high-signal domains

Visual Generation

  • Provider Cascade: Gemini Imagen → Pollinations.ai → Local PIL fallback
  • 7 Dynamic Layouts: Center, Split, Border, Corner, Full Overlay
  • Thematic Mapping: Content-aware visual selection (AWS → Shield, AI → Network)

Safety & Quality

  • Strict "Observer" voice enforcement (They/Them, no corporate "We/Us")
  • Auto-appended source links and hashtags
  • Dry-run mode for testing without API calls

Tech Stack

LayerTechnology
BackendDjango 5.x
Task QueueCelery + Redis
AI/LLMGoogle Gemini (Pro/Flash)
VisualsGemini Imagen, Pollinations.ai, PIL
PublishingLinkedIn Official API
DevOpsDocker, Docker Compose

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