Autonomous Social Media AI Pipeline
Multi-tenant content generation, design & publishing platform for LinkedIn, Instagram, Threads and Telegram — powered by microservice AI agents, RAG fact-grounding, and Kubernetes scale-to-zero.
Creating verified B2B content for LinkedIn, Telegram, and Instagram traditionally requires a full agency team — copywriter, domain expert, graphic designer, editor, SMM manager — costing $3,000–$10,000+/month with a 2–3 day cycle per post.
A microservice AI graph orchestrated by OpenClaw via BullMQ/Redis: an AI writer produces copy grounded in a RAG fact database, a Puppeteer carousel renderer creates 1080×1350 branded images, a Telegram bot delivers a mobile HITL moderation cockpit, and a self-correction evaluator re-generates posts scoring below 85% alignment.
Architecture Highlights
Multi-tenant architecture with isolated brand style guides, color palettes & knowledge bases per tenant
Puppeteer carousel engine rendering 1080×1350 PNG branded graphics per post
Telegram mobile moderation cockpit — approve, edit, regenerate in 1 tap
Self-correction evaluator agent — auto-regenerates posts scoring <85% against golden datasets
KEDA Redis-triggered scale-to-zero: resource-heavy pods spin down when idle
High-speed LPU inference via Groq (llama-3.3-70b) + Gemini 2.0 Flash
Tech Stack
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Available for Founding Engineer roles & architecture contracts.