Define the purpose
Start by deciding what the bundle is for: onboarding, research synthesis, code review, client strategy, writing continuity, or legal document review.
Purpose keeps the bundle from turning into a dumping ground.
Add the authority layer
Include a project brief, current decisions, constraints, glossary, and source hierarchy. This tells the model which files matter most.
If old material is included for history, label it clearly.
Add supporting sources
Bring in files, notes, docs, web pages, and repository sections that support the purpose. Remove anything that does not change the answer.
Maintain it
Refresh the bundle when the source of truth changes. Saved Riflet workspaces make that update cycle faster because sources and filters are already remembered.
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 building a source-of-truth ai bundle 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.