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Remember what worked. Apply it faster. Prove what you did.
A market where AI is judged by receipts rather than demos, where whether an agent improved over a quarter can be verified rather than asserted, and where the question of where sensitive data went and how it is governed has a single, verifiable answer.
Latest Insights
Our thoughts, insights, and research as we learn and grow.
Promoting Agent Memory Across Tenant Boundaries
Procedural memory learned inside one client's workflow carries hidden assumptions that cost points elsewhere. Here is what a promotion gate has to prove before a skill serves a second tenant.
The Context Window Is a Governed Boundary
Attention concentration identifies context records that output filters never see, and the fix is a routing decision at the retrieval boundary with a cost you can quote.
The Facts Live Outside the Weights
What an agent learns across a long deployment lives in a file it maintains, and the weights carry only the habit of maintaining it. That makes governance of the file the real engineering problem.