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GenCreatorGenCreator.community onboarding

Enter with proof, not passive access.

The community should compound the self-serve products. Bring one artifact, ask one precise question, run the weekly proof loop, and install the agent habit that keeps future work approval-safe.

Onboarding contract

Artifact, question, proof, review

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1

Bring one artifact

Activation plan

2

Choose the path

Learning path

3

Compose the decision

Creator Intelligence packet

4

Package the offer

Product Offer packet

5

Ask one precise question

Review request

6

Run the weekly proof loop

Proof loop

7

Open the operating room

Community OS

8

Install the agent habit

Skill pack

Artifact-first entry

The first screen should make members more capable.

Self-serve products create the artifact. Community creates cadence, taste, peer review, and the confidence to keep improving the system.

Weekly proof loop

A movement needs a repeatable rhythm.

The culture shaping part is not a slogan. It is a weekly operating rhythm where creators show artifacts, name decisions, review each other with taste, and save the best examples back into the library.

Beat 1Source pulse: state what you are building and what proof would change your mind.
Beat 2Build block: create one artifact from the vault, campaign, agent, or approval layer.
Beat 3Review thread: ask for one decision, not broad feedback.
Beat 4Friday proof: post the artifact, what changed, and the next constraint.
Beat 5Digest: record the best example back into the member artifact library.

Review request

Ask for one decision, not general feedback.

That is how community stays useful at scale. The ask is precise enough for peers, agents, and Studio reviewers to improve the work.

Field 1

Artifact

What did you make? Link the vault row, campaign packet, agent role, approval task, or proof note.

Field 2

Decision

What should change before public use: voice, offer, proof, mechanism, tool mode, or support boundary?

Field 3

Evidence

What source, number, screenshot, customer quote, or previous artifact supports the decision?

Agent-assisted practice

The Community Concierge is the scalable support layer.

Not private consulting by default. The assistant helps frame review requests, route artifacts, and keep support boundaries clear. Studio remains the capped human judgment layer.

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Vault Librarian

Keep voice, offer, audience, proof, and policy memory clean before any campaign is drafted.

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Signal Analyst

Turn outlier content, customer questions, and creator notes into a clear campaign mechanism.

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Campaign Producer

Create platform-specific campaign packets that stay in draft until the creator approves them.

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Approval Operator

Convert risky actions into review records with source, risk, and human decision fields.