Agentic workflows and LLM automation in production

Multi-step LLM pipelines that run unattended: model cascades with fallbacks, validation gates, scheduled automation and alerting when something breaks.

Evidence

• Automated AI News Pipeline (this site) — The pipeline behind this site’s Tech News: scheduled GitHub Actions scrape sources, an LLM cascade on Groq rewrites and enhances articles, and layered quality gates (date integrity, language checks, instruction-leak detection, duplicate detection) decide what gets published, with Telegram alerts. (Runs on a schedule with preflight cost checks · Model cascade with fallback tiers)
• YouTube AI Summarizer — Open-source Chrome extension on the Chrome Web Store: AI summaries, key points, deep analysis, a two-host AI podcast (Gemini TTS) and transcript-grounded chat for any YouTube video, using Groq or Ollama Cloud with the user’s own key. (Published on the Chrome Web Store · 20+ languages · Bring-your-own-key, no subscription)

Keywords

agentic AI · LLM automation · Groq · GitHub Actions · model fallback · guardrails

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