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AI cost planning notes.
Practical guidance for estimating AI spend, comparing model costs, and protecting product margins.
Why GPT, Claude, and Gemini Count Tokens Differently
The same sentence becomes a different number of tokens on each provider. Here's why, and why you can't reuse one provider's token count to budget another.
How Image Tokens Work: Why One Image Can Cost More Than a Page of Text
Vision models bill images as tokens but count them by size and detail, not characters. Here's how OpenAI, Claude, and Gemini differ, and how to keep image costs down.
Input vs. Output Tokens: The Asymmetry That Decides Your AI Bill
Output tokens usually cost several times more than input. Here's how that asymmetry shapes the cost of chat, classification, and content generation, and how to plan for it.
From Hype to Hard Cash: How to Calculate AI Automation ROI
Stop selling 'Efficiency' and start selling 'Profit.' A guide on calculating the real Return on Investment for AI automation projects.
Why Your AI Bill is Higher Than You Think: The Hidden Math of Tokens
Tokens aren't words. Learn how different tokenizers from OpenAI and Anthropic affect your billing and how to estimate costs accurately.
The Silent SaaS Killer: Mastering AI Unit Economics in 2026
Why high revenue doesn't always mean a healthy AI startup. Learn how to calculate your margins and optimize your LLM spend.
GPT-4o vs. Claude 3.5 Sonnet: Which LLM is Best for Your Budget?
A deep dive into the pricing structures of the two leading AI models. We compare input/output costs and find the sweet spot for your SaaS.
The Unit Economics Trap: Why Most AI Wrappers Fail
Many AI startups ignore their unit economics until it's too late. Learn how to calculate your margins and build a sustainable AI business.
5 Proven Ways to Slash Your LLM API Bill by 30%
Stop wasting money on inefficient prompts. These five strategies will help you optimize your token usage without losing quality.