Start with workload
Cloud cost cannot be compared honestly without assumptions. For a small site, bandwidth and build minutes matter. For an API, requests, database, logs, and egress matter. For an AI tool, tokens, model price, retry rate, and caching matter.
AI needs more than a provider list. Give it an approximate usage model: users, requests, storage, peaks, and what might happen three months from now.
Look for hidden lines
Many services have simple headline pricing, but the bill is made of smaller parts:
- outgoing traffic;
- logs and observability;
- backup storage;
- team seats;
- support plan;
- build minutes;
- overage after the free tier.
These lines are not always bad, but you want to see them before choosing.
Compare growth scenarios
A good option today can become expensive after the first spike. Ask AI to calculate at least two scenarios: “today” and “if usage grows 3x.” That quickly shows which plan has a trap.
In short
Cloud cost is not one number in a table. It is usage assumptions plus small line items that become large when a product grows.
AI is useful as a financial reviewer when you give it real numbers, limits, growth scenario, and the cost of failure.
Quick checklist
- Write real assumptions for traffic, storage, and requests.
- Check egress, logs, backups, support, and seats.
- Compare today's cost and a growth scenario.
- Understand what happens after the free tier.
- Add a budget or usage alert.
- Include the cost of downtime for critical services.
Compare cloud cost honestly
Help me compare these cloud options by real cost, not only headline pricing. Context: - Options: [provider A / B / C or services] - Workload type: [web app, API, static site, storage, AI API, CI, database] - Current or expected usage: [users, requests, bandwidth, storage, build minutes, AI tokens] - Peaks: [hours, seasonality, batch jobs, marketing launch] - What the free or cheap plan includes: [limits, quotas, overage] - What can cost extra: [egress, logs, backups, support, seats, observability] - Requirements: [SLA, region, compliance, backups, rollback, support response] - Cost of downtime or mistakes: [low / medium / high, explanation] Compare: 1. Realistic monthly cost for each option. 2. What can make the bill higher than expected. 3. Which assumptions must be verified before choosing. 4. Which option is cheaper now and which is safer if usage grows. 5. Which monitoring or budget alert to add after launch. Output format: - Assumptions - Cost table - Hidden costs - Risk comparison - Best option for now - Best option if usage grows - Questions to verify