Credit-Metered AI
Credit-metered AI is Learn Domains' approach to billing for inference: each action declares a credit cost up front, reserves balance before running, and logs usage so you can forecast spend.
Also known as: credit-metered-ai · mission-fuel-metering
Why it matters
Flat unlimited AI destroys margins for the vendor and encourages runaway spend for you. Metering ties cost to value: a quick analyst question should not cost the same as a long content draft.
How it works
Before an AI job runs, Learn Domains checks your balance and reserves credits. After completion, the actual charge commits to the ledger. Categories like Mission Brief, Content Operations, and AI Analyst appear on Account → Credits with forecasts.
Common mistakes
- Regenerating full articles when a paragraph refresh would do.
- Running premium SEO Intelligence batches without a hypothesis.
- Ignoring low-credit warnings until jobs fail mid-run.
- Treating credits as unlimited because the UI feels fast.
Best practices
- Start deterministic paths (Mission Brief, Opportunity Engine) before optional AI enhancement.
- Review usage breakdown by category monthly.
- Use trial credits on activation milestones, not exploratory bulk generation.
- Purchase packs before forecast hits zero on deadline weeks.
Learn Domains perspective
Not every task needs the same depth. Classifying a question is lighter work than writing a 2,000-word draft. Learn Domains meters AI through Mission Fuel so heavy generation costs more than a quick analyst question. You see usage on the Credits page without configuring anything yourself.
FAQ
- Can I choose how AI runs per request?
- No. Learn Domains sets credit costs per action for consistent quality and predictable spend.
- Are inference costs visible to users?
- Credits abstract the cost. See breakdowns and forecasts on Account → Credits.
- What happens if AI is temporarily unavailable?
- Deterministic paths still run where possible; failed jobs release credit reservations.
Next steps
- 1Review Credits usage breakdown by category.
- 2Identify actions burning the most credits in your workflow.
- 3Align team workflow to structured Content Operations drafts before optional AI enhancement.
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