Episode Details

Two projects. One cost 37 cents. The other cost over $100. Same developer, same API provider — wildly different outcomes. This episode breaks down why AI cost estimation is so hard, from multimodal token pricing to context window growth in agentic systems. We look at how Gemini 2.0 Flash and Pro actually bill, why images cost 4x more depending on resolution, and how multi-agent simulations create compounding cost effects. Then we get practical: sample-based estimation for bounded workflows, hard limits for agentic systems, cost simulation with cheap models, and budget alerts that actually stop spending. If you build with AI APIs, this episode will save you money. Episode #107586 — open it directly at myweirdprompts.com/107586