GrowHack AI
A nine-agent content pipeline that researches SERPs, writes, illustrates, optimises and publishes long-form posts without a human in the loop.
GrowHack AI is a production multi-agent system, not a wrapper around a single prompt. Nine specialised agents hand work to each other in sequence: a Deep Research agent reverse-engineers the top-ranking SERPs and extracts entity clusters and content gaps; an Outline agent architects the structure; a Writer agent drafts in the client's brand voice; Image Strategy and Image Generation agents plan and produce the visuals along with alt text and captions; an On-Page SEO agent handles keyword density and internal linking; an LLM Optimization agent structures the output to be citable by ChatGPT, Perplexity and Google's AI surfaces; a Final Editor agent strips clichés; and a Publishing agent pushes the finished post to WordPress, Strapi, Ghost or a REST endpoint.
The hard part of a multi-agent pipeline is not the agents — it is the contract between them. Each stage emits a structured artifact the next stage can rely on, so a failure in image generation does not corrupt the draft, and any stage can be re-run in isolation without replaying the whole chain. Brand voice is carried as explicit state through the pipeline rather than re-derived at each step, which is what keeps tone consistent across a 2,000-word post written by four different agents.
- 01Keeping tone consistent across a post written by four different agents
- 02Preventing one failed stage from corrupting the whole run
- 03Producing SEO structure without keyword stuffing
- Structured artifact contract between every pipeline stage
- Per-stage isolation so any agent can be re-run without replaying the chain
- Brand voice passed as explicit state rather than re-derived per step
- Semantic entity-cluster analysis in place of keyword density targets