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Evaluation-Aware Memory: How Agents Should Remember What They Can Prove
Agent memory should promote facts only after evals prove they improve task outcomes, not just because retrieval found them.
Where Agent Adoption Fails: The Function-by-Function Pattern
Function-by-function adoption fails when agents miss workflow ownership, evaluation, integration, or trust boundaries.
Small-Model Routing With Frontier Fallback: The Production Cost Pattern
Small-model routing cuts inference bills only when fallback is measured, budgeted and guarded against confidence failure.
RAG Maintenance After Deployment: The Failure Mode Nobody Budgets For
RAG maintenance after deployment is the hidden operating cost: stale indexes, drifting corpora, weak evals, and silent retrieval failure.
Agent State Migration and Rollback: The Missing Reliability Layer
Agent state migration rollback is becoming the reliability layer between agent memory, workflow versioning, and production recovery.
Multi-Agent Human Handoff Patterns: When the Swarm Needs a Person
Human handoff is not a fallback button. It is the control plane that decides when multi-agent systems should stop acting.
Consent and Delegation Boundaries for AI Agents
AI agent consent needs runtime boundaries: scoped delegation, renewed approvals, clear identity, and audit-ready logs.
Browser-Use Agents After the Computer-Use Benchmarks
Browser-use agents look cleaner than desktop agents, but the benchmarks still hide drift, cost, auth, and recovery failure.
Data Agents Need Exploration Budgets, Not SQL Magic
Data Agent Benchmark landed on arXiv on 21 March 2026 with a result that should make enterprise analytics teams pause: the best tested frontier model...
Agent Commerce Is a Trust Layer Before It Is a Marketplace
Google's Agent Payments Protocol launched with more than 60 supporting organizations, while the Linux Foundation says A2A passed 150 supporting...