Relevance
Every file should have a reason to be there. If you cannot explain how a file changes the answer, remove it.
Relevance is task-specific. A useful architecture file may be noise for a copywriting task.
Authority
The bundle should make clear which files are current and which are background. Current specs should not compete with old drafts.
Add a brief if the source hierarchy is not obvious.
Structure
Readable headings, source boundaries, and clear ordering help both humans and models navigate the bundle.
If you cannot skim the export, the AI may struggle too.
Token fit
The bundle should leave room for instructions, follow-up questions, and the model's answer. Passing the limit is not the same as being useful.
Build better AI context with Riflet
Collect the files, notes, websites, and docs that matter. Export one portable bundle for any AI.
Download Riflet freeFrequently asked questions
Is how to evaluate context quality only useful for developers?
No. The same context principles apply to research, writing, legal review, client work, product planning, and any workflow where the AI needs project-specific source material.
Does more context always produce better AI output?
No. Relevant, well-structured context usually beats a large dump of loosely related files. Large context windows make preparation more important, not less important.
Where does Riflet fit in this workflow?
Riflet is the assembly step. It helps gather source material, filter it, estimate the token budget, and export one portable file for the AI tool you choose.
Does Riflet replace RAG or AI project features?
Not always. RAG is useful for large retrieval systems. AI project features are useful inside one platform. Riflet is best when you want explicit, portable context you can inspect before using.