Better prompts reduce token usage 20-40%. Here's the economic case for prompt optimization.
Prompt optimization costs: 1-2 engineers for 1-2 weeks ($5-15K). Expected savings: 20-40% token reduction = 20-40% inference cost reduction. At $20K/month inference, that's $4-8K/month savings.
ROI: invest $10K, save $6K/month. Payback: 6-8 weeks. No other AI optimization has this return.
Key techniques: few-shot → zero-shot conversion, system prompt optimization, output format constraints, chain-of-thought elimination where not needed.
Like this analysis?
Get the weekly engineering economics briefing — one email, every Monday.
Subscribe Free →Most AI features are margin-negative. Here's the exact framework to calculate whether your AI feature makes money.
10 minYour AI feature impresses users but destroys margin. Here's the decision framework.
9 minEveryone talks about RAG accuracy. Nobody talks about RAG economics.
11 minPublished Work
This article expands on ideas from my published work in CIO.com, Built In, Mind the Product, and HackerNoon. View published articles →
The Product Economist — Quantifying engineering economics for technology leaders, PE firms, and boards.