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AI credits

Understand how generation consumes AI capacity and how to avoid unnecessary retries.

Updated September 17, 2026

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Understanding ai credits

For workspace owners and frequent publishers, the goal is to use available generation capacity intentionally. Treat this as an operating workflow rather than a one-time configuration. Clear ownership, reviewed source material, and deliberate destination choices make the result safer and easier to repeat.

PostRout keeps the source and its destination versions connected, but it does not replace judgment. Confirm facts, permissions, brand scope, account selection, and the remote result whenever the workflow can publish publicly.

Prepare the required information

Gather the material before changing settings or starting generation. Resolve missing facts and ownership questions at the source instead of expecting a later publishing step to correct them.

  • generating selected channels
  • retrying a failed destination
  • testing a revised Brand Voice

AI credits procedure

  1. 1

    Define the ai credits outcome

    For workspace owners and frequent publishers, confirm that the intended result is to use available generation capacity intentionally. Record the owner and the decision this workflow should support.

  2. 2

    Prepare generating selected channels

    Use generating selected channels as the primary test case. Verify its facts, permissions, terminology, links, and active workspace or Brand Profile before continuing.

  3. 3

    Test with retrying a failed destination

    Run a controlled draft, preview, or connection test using retrying a failed destination. Do not expose credentials or rely on an important publication as the first test.

  4. 4

    Verify testing a revised Brand Voice

    Review testing a revised Brand Voice against the source and confirm the account, formatting, links, media, status, and remote result where applicable.

  5. 5

    Record topic-specific corrections

    Update the workflow when review reveals regenerating every channel after one edit. Track credits per approved campaign over subsequent uses to confirm that the correction helped.

Risks and troubleshooting

Most preventable failures come from incorrect scope, incomplete source information, stale authorization, or treating a generated draft as an approved publication.

  • regenerating every channel after one edit
  • using production credits for placeholder sources
  • confusing source limits with credit balances

Operational checks

Measure whether the workflow improves quality and reliability, not only whether it increases output. Review the following signals over multiple campaigns and use them to refine the process.

  • credits per approved campaign
  • failed generation retries
  • remaining allowance

Frequently asked questions

Who is the AI credits guide for?

Workspace owners and frequent publishers use it to use available generation capacity intentionally.

What should I check first for ai credits?

Start with generating selected channels. The miss this workflow is meant to catch is regenerating every channel after one edit.