Context budgets
Allocate space to instructions, evidence, and working state deliberately.
Context & memory
The right context. At the right moment.
Build memory that is selected, attributable, and maintained. Connect working state with useful long-term knowledge.
Context & memoryConcept architecture
SELECTED STAGE / 01
Sources
Define the inputs and access boundaries before execution begins.
WHAT WE DESIGN
A focused approach to context & memory.
Retrieval policies
Respect source permissions and return evidence for the task at hand.
Memory lifecycle
Distinguish durable facts from temporary state, with expiration and correction paths.
THE ENGAGEMENT
From diagnosis to a testable design.
A memory architecture with retrieval rules, retention boundaries, and task-specific evaluations.
- 01
Map the workload
Review representative tasks, dependencies, and constraints.
- 02
Design the intervention
Define responsibilities, boundaries, and expected behavior.
- 03
Validate the result
Evaluate against the agreed quality and operational objectives.
Questions worth asking.
Does this require replacing our model or infrastructure?
We start with your current system. The design may improve the surrounding harness without changing the model. Any infrastructure change should follow from your requirements and evaluation results.
How do you judge whether an optimization works?
Use representative workloads and agreed acceptance criteria. Compare response quality, token consumption, latency, and operational behavior together. No universal improvement percentage is promised.
Can human review remain part of the process?
Yes. Approval gates, reviewer evidence, and explicit revision paths can be designed into the execution lifecycle.
LET’S WORK THROUGH IT
Bring us your workload.
Start with your requirements, data, and definition of a good result.