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Small teams with visible leaders or subject-matter experts

Keep expert voices consistent without flattening them.

Standardize how AI helpers represent key voices, review public posts, and prepare engagement suggestions.

Separate personal voice from brand voice
Review source-backed suggestions
Create exportable artifacts for multiple agents
The gap

What this should prevent

Team AI helpers blur personal voice, brand voice, and generic support tone.

Reviewers need to know which source justified a suggestion before trusting it.

Every new workflow recreates voice rules because the context is not portable.

Workflow

How the spec becomes useful

01

Start with one voice

Build a single source-backed spec before introducing shared team rules or multiple reviewers.

02

Add review surfaces

Route draft suggestions, engagement opportunities, and export artifacts through explicit human checkpoints.

03

Reuse the context

Feed the same voice system into skills, content inboxes, reply workflows, and future internal agents.

Artifacts

What you get out of it

Voice registry

Separate specs for people and brand surfaces, with boundaries and source context attached.

Review queue

A workflow for draft ideas and reply opportunities that keeps approval explicit.

Agent context pack

Reusable files and prompts so each tool does not invent its own version of the same person.

Starting signal

Sources this use case cares about

Public social profilesTeam Slack laterDocs and changelogs laterGitHub and support later
Prompts

Examples this should unlock

Draft this reply as the founder, not the brand account.

Show why this engagement opportunity is worth reviewing.

Export the current voice rules for a support agent prompt.