AI is most useful when it’s predictable. Credit-based usage helps teams understand consumption, set expectations, and avoid surprises.
This guide explains the high-level billing model without relying on specific price points (plan details can vary). The goal is to help you plan usage and build efficient workflows.
Main risk
Teams treat AI usage as free-form experimentation and lose predictability.
Better lens
Track credits the same way you track workflow capacity and review bandwidth.
Outcome
The team can test, budget, and scale without confusion about what changed spend.
What credits are for
Generation
Drafting answers (single or bulk) consumes credits based on usage.
Usage tracking
Teams can monitor consumption over time to stay within plan limits.
Human-in-the-loop
Credits support drafting — review and approval keep answers accurate.
Self-serve billing
Manage plans, invoices, and usage from the billing settings.
How to keep usage efficient
- Link context first: connect questions to templates/library items before generating to reduce rework.
- Generate in batches: draft, review, then refine instead of repeated one-off retries.
- Invest in your Answer Library: better source material means fewer regenerations and higher confidence drafts.
Where to manage billing
In the app, billing is typically managed in Settings → Billing, where you can review usage trends and access invoices.
Next step
Move from reading to evaluation
This post is tagged as product-education. Use the next step that matches your stage: evaluate the product, compare tools, or use a practical workflow resource.
Primary next step
/pricing
Comparison hub
See which workflow model fits before booking a demo.
Resources
Use checklists and migration assets tied to active response work.