AI-Assisted Content Systems.
AI as a leverage layer for real writers — not a replacement.
Why this specifically.
AI can 10× a real writer or 100× a bad one. We build systems that leverage AI for research, structure, first-drafts of low-stakes content, and QA — while keeping human writers on high-stakes work.
Our AI content systems typically produce: automated SEO briefs, first-draft transcript summaries, factual FAQ answers, and personalised outreach at scale. Under human review, always.
We are the anti-slop agency. Nothing goes out under a client's brand that a human hasn't approved.
What ships to you.
Content system design
Which content types AI drafts, which humans draft, which are hybrid.
Research automation
AI-powered SERP research, competitor mining, question mining.
Draft workflows
AI first-drafts + editor pass for low-stakes content.
Personalisation at scale
1:1 outreach content generated per lead, human-reviewed.
QA layer
Fact-check, plagiarism, tone consistency automated.
5-step process, no filler.
- 01AuditCurrent content pipeline. Automation candidates.
- 02DesignWhich types get AI, which don't. Human-approval gates.
- 03BuildPrompts, workflows, review UI.
- 04PilotSmall batch. Editor feedback.
- 05ScaleFull pipeline. Monthly review of output quality.
The numbers.
Questions smart clients ask.
Yes — because we disclose AI use, human-approve every piece, and never pretend humans wrote what AI drafted for brand-critical work.
Claude Sonnet for structured writing. GPT-4o for research. Gemini for long-context. Multi-model by task.
No — it amplifies them. Writers write; AI drafts and researches. Fewer writers, higher output — but not zero writers.
Google penalises unhelpful content, not AI-assisted content per se. Because we human-approve everything, our content ranks.
More inside Agentic AI.
Kick off AI-Assisted Content Systems.
30-minute strategy call. We diagnose live. No decks, no theatre.