Your content team, multiplied by agents
Content Studio turns your brand voice, frameworks, and podcast transcripts into on-demand articles, course modules, and social posts — written by AI agents that already know your knowledge base.
5 Frameworks Every Coach Should Teach in Week One
Draft ready · sourced from 3 podcast transcripts
Week 2: Building Your Signature Offer
Outline → content → Google Slides, automatically
3-post carousel drafted for launch week
On-brand tone · scheduled to review queue
13+
specialized agents
10+
knowledge collections
~10x
faster production
100%
on-brand voice via RAG
One studio, every content format
Content production, before and after
The same team, the same brand — just without the bottleneck.
- Weeks of writing and editing per course module
- Brand voice drifts across writers and platforms
- Hours lost re-reading transcripts and old docs for context
- Manually formatting and uploading to Google Drive
- Outline to finished draft in hours, not weeks
- Every piece pulled from the same RAG-verified brand voice
- Agents search your knowledge base automatically
- Docs and Slides created and organized for you
A studio built on agent orchestration
Every piece of content runs through the same agent, RAG, and automation layers — so quality and voice never depend on who's behind the keyboard.
LangGraph agent orchestration
13+ specialized StateGraph agents handle outline generation, research, drafting, and revision — each with conversation memory, tool calling, and conditional routing between steps.
RAG knowledge base
Qdrant-powered semantic search across your tone, frameworks, and transcripts.
Dual-model routing
GPT-4 for structured reasoning, Claude for long-form creative writing.
Google Drive automation
Docs and Slides created, formatted, and filed automatically.
Live prompt editor
Non-technical teammates tune agent prompts without touching code.
Knowledge chatbot
An assistant with full knowledge-base access, ready to answer anything.
From knowledge to published draft
Four steps, no writer's block.
Feed the knowledge base
Upload transcripts, frameworks, and brand voice examples into Qdrant collections — agents draw on this for every piece they write.
Agents draft the outline
Pick a content type — article, BEC module, social post — and a LangGraph agent generates a research-backed outline for review.
Review and regenerate
Give feedback on any section. Agents revise just that part, keeping the rest of the draft intact.
Publish automatically
Approved content is formatted and delivered straight to Google Docs or Slides, organized and ready to share.
Every agent writes from the same brain
Your podcast transcripts, frameworks, and brand guidelines live in Qdrant as searchable vector collections. When an agent drafts content, it retrieves the exact context it needs — automatically, every time.
10+ collections
semantic search via OpenAI embeddings
Ready to put your content on autopilot?
See Content Studio turn your knowledge base into a week's worth of on-brand content, live.
Questions, answered
Everything you need to know before bringing Content Studio to your team.
Which AI models power the content?
A dual-model setup: GPT-4 handles structured reasoning like outlines and research synthesis, while Claude Sonnet handles long-form creative writing — each used where it's strongest.
How does it keep our brand voice consistent?
Every agent retrieves from your own tone & voice, framework, and transcript collections via RAG before writing — so drafts sound like you, not a generic model.
Can non-technical teammates update how agents write?
Yes. The prompt editor lets anyone update agent instructions from the web app, with changes taking effect immediately — no code or redeploys.
What happens after content is approved?
Approved drafts are automatically formatted and uploaded to Google Docs or Slides, organized into folders, with links tracked for you.
Does it replace our writers, or support them?
It's built to remove the blank-page and research grind — writers and editors still review, refine, and approve everything before it ships.
Can we track what's in progress?
A live dashboard shows every job's status through each pipeline stage, with error logging if a step needs attention.
Let's build your content studio
Tell us about your content workflow and we'll show you exactly where Content Studio fits in.