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Cost Optimization Guide

Analytics & Dashboard · Beginner-friendly walkthrough

AI costs can spiral quickly if not managed. The Dashboard provides real-time cost analytics that help you identify waste and optimize spend. The 5 Biggest Cost Reducers 1. Model Downgrading Not every task needs GPT-4. Switch routine tasks (classification,...

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Section 1 of 1

Reducing AI Spend Without Sacrificing Quality

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AI costs can spiral quickly if not managed. The Dashboard provides real-time cost analytics that help you identify waste and optimize spend.

1. Model Downgrading

Not every task needs GPT-4. Switch routine tasks (classification, extraction) to GPT-3.5-turbo or Haiku. Use the Lab to verify quality doesn't drop below your threshold.

2. Prompt Shortening

Review your longest prompts in the Dashboard. Every unnecessary word costs tokens. A well-structured 500-token prompt often outperforms a rambling 2,000-token one.

3. Output Length Limits

Add 'Maximum output: 500 tokens' to your Output Rules. Most outputs are 2-3x longer than needed because the AI wants to be thorough.

4. Caching Common Queries

If 100 users ask the same question daily, cache the response instead of making 100 API calls.

5. Batch vs. Real-Time

Batch processing during off-peak hours is 40-60% cheaper with some providers. Schedule non-urgent generations for overnight runs.

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