Pre-computed KV cache cartridges for recurring agent workflows
For tasks whose context is predictable ahead of time (like month-end close, where the ledger, aging report and documents are known), compress the context 20 to 30 times into a KV cache cartridge offline and serve it to the agent so it starts work already knowing everything, with no agentic retrieval.
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From AI Engineer — Our Smaller Model Beat Opus on Finance Tasks - Alexander Shevchenko, Ramp
Problem: Even with good models, an agent wastes time agentic-retrieving and building an understanding of documents it will certainly need. Pre-building that context overnight removes the retrieval phase entirely.
For: Finance professionals with recurring, scheduled workflows — month-end close on the first of the month — and similar cyclical processes in other domains.
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Examples
- Month-end close at Ramp: cartridge built overnight on the last day of the month so the agent reconciles books on the first with all context pre-loaded
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