◇ Could this help me?
Yes for the mechanism, reading the solution as the advertisement it is. The explanation is correct and more useful than the headline figures: agent cost scales with context re-sent per request rather than with code produced, which is why spend rises without the work getting harder, and that reframing changes what you would do about it. The closing formulation, that the savings come from what is not sent, is the right mental model. General practice, with two honest qualifications: the reported figures about a specific company are secondhand and worth verifying before being repeated, and the recommended retrieval layer is the publisher's own product, so the same principle is worth applying first through the free versions, pointing at specific files, clearing at task boundaries, and keeping always-loaded context small.
Help me find where my tokens actually go rather than guessing. For a typical request in my workflow, break down what is being sent to the model: how much is my actual prompt, how much is accumulated conversation, how much is file content, and how much is instructions loaded automatically. Then tell me which of those is the largest and what specifically would reduce it, ordered by how much it would save against how much work it is. Start with the changes that cost nothing, such as pointing you at specific files instead of letting you search, and only then tell me whether anything I would have to build or buy is justified.