Yordam examines your codebase, finds and generated documentation for not only your repository, but also for its dependencies.
project
Yordam
A focused toolset for significantly reducing token usage, and turning cost questions into clear engineering decisions.
Same outcome, same AI, half the cost.
Accross our internal testing, we found that we get up to %49 reduction in token usage, which directly correlates with AI API cost reduction.
Gains
Lower token waste
The Yordam toolset allows LLMs to access version specific document context, reducing oversized prompts, unneccessary reads, and reduces one-shot errors.
More predictable cost
Usage can be grouped by document, workflow, user, or model call,
helping project owners understand where spend is coming from before
it becomes a surprise. These statistics makes it possible to pinpoint which section of the codebase is most incompatible with AI agents and enable faster transition to AI-first age.
Faster iteration
Fewer API related errors and better one-shot accuracy would mean the speed of iteration would increase linearly with the reduction in tokens.
Approach
The goal is not simply smaller prompts. The goal is smaller prompts that still preserve the evidence, structure, and document details needed for reliable agentic work.
Contact
Tell us about your document workflow, token usage goals, or where AI costs are becoming difficult to track.