AI editorial workflow: structure before you write.
11 specialised AI agents. A complete editorial process. Your control at every step.
TL;DR
Fast Growth builds AI-augmented editorial workflows. Not text generators. Complete editorial systems where 11 specialised agents orchestrate every step: intent framing, structuring, controlled drafting, tone alignment, SEO/GEO optimisation, originality check, final review. Quality comes from the process, not from AI creativity.
Why do AI content generators produce mediocre content?
Because they skip the essential part: structure.
A typical AI generator takes a prompt and produces text. Fast. Lots of it. But without intent framing, without structure validation, without tone control. The result: fluent but hollow content. Impossible to defend in a client meeting.
The problem isn't AI. It's the absence of an editorial process.
What is an AI-augmented editorial workflow?
A content production process where every step is orchestrated by a specialised AI agent. Not a black box. A structured editorial chain.
Intent is framed before writing.
We don't ask AI to write. We tell it what to say, to whom, why, and within what boundaries.
Structure is validated before text.
Content architecture is defined and approved before a single line is written.
Every claim is verifiable.
Assertions are checked. What can't be defended doesn't get published.
How does an editorial workflow with 11 AI agents work?
Each agent has a precise mission. They operate in sequence, each preparing the ground for the next:
Phase 1 — Framing
Phase 2 — Production
Phase 3 — Quality control
Orchestration
What is NOMO AI?
NOMO AI is the platform that implements this editorial workflow. 11 agents in a tool accessible to B2B marketing teams.
AI that orchestrates, not replaces. Built by CMOs, for CMOs. By those who carry editorial responsibility.
Ready to industrialise your content production?
A structured editorial workflow changes the game. More quality. More volume. Without sacrificing control.
Frequently asked questions about agentic applications
What is an agentic application?
An agentic application uses multiple specialised AI agents that collaborate to accomplish a complex task. Unlike a single LLM, each agent has a precise, limited role. An orchestrator coordinates the whole chain. This is the approach used in Fast Growth's editorial workflow and NOMO AI.
How many AI agents are used in the editorial workflow?
11 specialised agents operate in sequence: intent framing, structuring, drafting, tone and voice alignment, SEO optimisation, GEO optimisation, claim verification, originality check, human pass, formatting, and global orchestration.
Does the agentic editorial workflow work for all types of B2B content?
Yes. The workflow adapts to the deliverable type: web pages, blog posts, newsletters, press releases, marketing briefs, content optimised for AI engines. The editorial structure adjusts automatically.
Do you need technical skills to use the editorial workflow?
No. NOMO AI is designed for marketing teams, not engineers. The interface is accessible from the Foundation plan onward, with no technical setup required.
What is the difference between an agentic workflow and RAG?
RAG (Retrieval-Augmented Generation) enriches an LLM with external data to improve its responses. An agentic workflow goes further: it breaks production into distinct steps, each handled by a specialised agent, with guardrails and full traceability. RAG is a technique. An agentic workflow is a system.