Multi-agent voice replication for CEO Telegram blogs. 5-agent pipeline with cross-model humanization produces posts indistinguishable from the real author.
An AI-powered multi-agent system that generates authentic Telegram blog posts in a CEO's unique voice. Five specialized agents work in sequence — voice memory analysis, web research via Tavily, content planning, writing with Claude, and cross-model humanization with GPT-4.1 — to produce posts that match the author's vocabulary, argument structure, and signature metaphor style. Trained on archived posts to capture authentic patterns including sentence rhythm, topic preferences, and engagement techniques. Built-in topic deduplication prevents repetition, while automated quality gates validate tone, length, and formatting before delivery.