Holus Content Engine
Holus is a multi-agent content engine that automates the full content lifecycle — from deciding what to create, to producing it, to learning from results. It coordinates 32 specialized agents (writers, researchers, evaluators) that communicate through MCP tool calls to three independent production silos: Pilaster for images, Genpeli for video, and a social media platform for publishing.
The Problem
Solo founders building multiple AI products can't keep up with content marketing across 5+ platforms. Each product has a different audience, different formats, and different performance patterns. The work is repetitive but requires judgment — you need strategy, not just scheduling.
The Solution
An autonomous agent loop: OBSERVE what performed well via analytics → REASON about strategy using Claude Opus → ACT by dispatching to specialized content agents → EVALUATE every piece with domain-expert judges before publishing. The system learns weekly and adjusts its own strategy.
The Outcome
Content creation goes from manual and sporadic to continuous and data-driven. Every piece is quality-scored before publishing. The system improves its own prompts and strategy based on what actually performs.
Key Features
- 32 specialized agents organized by role: managers, specialists, evaluators, ops
- ReAct agent loop: observe → reason → act → evaluate
- 7 domain-expert quality judges with category-specific rubrics
- MCP integration with Pilaster, Genpeli, and Social Media silos
- Self-improvement loop: trajectory logging, weekly learning, strategy adaptation
- Three-layer prompt resolution for A/B testing agent prompts
Technology Stack
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