Dear Past Me: Never Start a Free AI Stack Without a Token Audit

Description and use

The article explains how missing token accounting in free AI stacks leads to wasted resources and inefficiency. It proposes adding request logging to a CSV and a budget guard to prevent overspending and silent failures.

Problem

Using free AI tiers without token accounting leads to wasted tokens, silent failures, and runaway costs.

Outcome

Token usage became transparent, silent failures were detected, and budget overruns were prevented, saving productive time and avoiding unexpected costs.

Workflow

• Wrap every LLM call in a logger that records prompt/completion tokens, errors, elapsed time, and timestamp.
• Store each log entry as a CSV row in usage.csv.
• Before starting expensive work, read usage.csv to calculate spent tokens.
• If spent tokens exceed the allowance minus a buffer, abort or reduce workload to stay within budget.
• Use the budget guard in retry loops to avoid infinite retries.
• Monitor usage.csv regularly to maintain visibility into token consumption.

Evidence

Wrap every API call in a usage logger before any loop starts.

Source

Add a budget guard that reads the CSV before starting expensive work.

Source