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  1. A reproducible protocol for comparing weight, activation, and KV-cache quantization without inventing savings or hiding quality regressions.

  2. A reproducible protocol for testing PostgreSQL 18 AIO across vector search, filtered retrieval, ingestion, vacuum, and cache states.

  3. Backpressure for AI Agent Systems

    Design admission control, bounded queues, concurrency limits, deadlines, and graceful degradation for agent workloads.

  4. Make repeated agent prompts cacheable in vLLM without crossing tenant boundaries, and measure whether cache hits actually improve latency.

  5. Design tenant-safe agent memory with provenance, hybrid search, retention, deletion, and pgvector indexing that does not mistake every transcript for knowledge.

  6. Protect persistent agent memory with source trust, write gates, quarantine, contradiction checks, provenance, and complete recovery procedures.

  7. Build a provider-neutral agent evaluation suite with deterministic checks, repeated trials, safety cases, uncertainty, and a CI policy that catches regressions.

  8. A practical decision framework for choosing a multi-agent architecture, plus a minimal coordinator that keeps concurrency, budgets, and failure handling explicit.

  9. A migration playbook for adopting the evolving OpenTelemetry GenAI span, metric, and event schema safely.

  10. Design streaming conversations, tool progress, approvals, errors, and voice controls that preserve focus, user control, and understandable status.