Built on ContentOS™
ContentOS™ describes the four layers of modern content operations. Berchtold is the Brand Layer made real: the part you can run, today, with the AI tools your team is already using. Read the methodology →
Three pieces. One source of truth. A feedback loop that keeps everything aligned.
Most brand books die on a shared drive. Berchtold makes the brand spec live: every AI tool reads from it, every correction feeds back into it, every quarter it gets sharper instead of stale.
The Three Steps
From brand truth to on-brand work.
01
Define your brand
Voice, lexicon, colors, audiences, references, compliance rules. You curate it in the app. We keep it structured under the hood.
02
Connect your AI tools
Claude Desktop, Claude Code, Cursor, Windsurf, Copilot, ChatGPT. Connect once. Every conversation reads from your brand truth.
03
Ship on-brand work
Drafts, audits, campaigns, publishing. When you correct something here, every connected tool inherits the correction on its next call.
The Self-Correcting Loop
The brand spec gets sharper over time, not staler.
Every validation, every correction, every approved precedent feeds back into the spec. The longer you use it, the sharper the brand gets. Compare that to the brand book on a shared drive that everyone forgot to update.
01
Validate
Every AI tool's output runs through the rules you set. Violations are caught, logged, and surfaced.
02
Correct
A reviewer accepts, edits, or rejects. The decision is captured. Approved work becomes a precedent.
03
Feed back
Precedents, corrections, and new rules update the spec. The next AI call reads the sharper version.
What Stays Yours
Your brand data lives in its own space. No other client sees it. Ever.
Each brand lives in its own logical space in our datastore. Isolation is enforced at the database layer (Firestore security rules), not just in the app. Your content stays yours: Berchtold never claims a license, never resells, never trains a model on it.