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Resources

The strategy behind CuratorNote.

A place for product thesis, GTM thinking, security notes, and updates as the private AI-native note platform takes shape.

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Thesis
Design principle

AI agents change team size

One-person companies and small teams can produce work that previously required larger organizations.

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Product

The note remains the record

Task management, learning, CRM, and agent work all return to the same durable notes.

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Trust

Ownership is a wedge

E2EE and data portability make private notes credible for company memory.

Security model
Published guides

Read the implementation-grounded guides.

GuideAvailable now

What is CuratorNote?

A grounded overview of the current private note foundation and labeled roadmap.

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SecurityAvailable now

Browser-encrypted notes

A precise map of local encryption, server-visible metadata, media, and limits.

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WorkflowAvailable now

Human review for AI agents

An illustrative notes-to-Kanban pattern with explicit review and limitations.

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ROADMAP

What we are validating first.

Note-taking category entry

The product must be understood quickly as a better note app before it expands.

Agent collaboration workflow

Kanban is the first surface for making AI work visible and reviewable.

Encrypted app platform

Every work app should share the same private note foundation.

Want to shape the alpha?

Send a short note about your workflow, company size, and how you expect to collaborate with AI agents.

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