About AgentBudget Lab

AI builders often prototype workflows without knowing what the system will cost at scale. A demo may look affordable with 10 users, but become expensive once it includes retrieval, tool calls, retries, multi-agent steps, summaries, embeddings, and evaluations — because AI workflows aren't one call, they're chains of calls.

AgentBudget Lab is an AI systems budgeting lab: model your workflow step by step, estimate token usage, compare models, simulate request volume, identify cost drivers, test latency tradeoffs, and design a practical optimization plan — before you ship.

Who it's for

AI SaaS builders, indie hackers, students, startup founders, product managers, AI engineers, RAG application builders, agent workflow designers, and backend developers comparing OpenAI, Anthropic, Gemini, Groq, or local models.

What it isn't

A billing dashboard, an enterprise FinOps platform, or a guarantee of exact pricing. It's a planning, estimation, and tradeoff-analysis tool.