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Insights, tutorials, and updates from the ZharfAI team

Blog

Do Not Mix the Maps: A Safe Migration for Embedding Indexes
August 25, 2026•13 min read

Do Not Mix the Maps: A Safe Migration for Embedding Indexes

A field guide to rebuilding, evaluating, cutting over, and rolling back vector search when the embedding model, chunks, or index must change.

A Number Is Not a Quantity: The Measurement Contract for AI
August 24, 2026•15 min read

A Number Is Not a Quantity: The Measurement Contract for AI

A field guide to units, currency, precision, rounding, and deterministic calculation before AI-generated numbers can create business effects.

The Last Release: Retire an AI System Without Leaving It Running
August 23, 2026•14 min read

The Last Release: Retire an AI System Without Leaving It Running

A field guide to closing intake, authority, dependencies, work, evidence, and data so an AI service can be replaced or retired with a verifiable end state.

The Answer Is Optional: An Abstention Contract for AI
August 22, 2026•13 min read

The Answer Is Optional: An Abstention Contract for AI

A practical guide to deciding when AI should answer, seek evidence, defer, or refuse using calibrated signals, risk–coverage curves, and fallback capacity.

Before You Install the Tool: A Supply-Chain Gate for AI Agents
August 21, 2026•14 min read

Before You Install the Tool: A Supply-Chain Gate for AI Agents

A field guide to admitting, quarantining, or rejecting MCP servers, plugins, and agent tools using provenance, capability tests, and enforceable runtime limits.

AI-Designed mRNA Cancer Therapy Meets Phase 3 Endpoints
August 20, 2026•10 min read

AI-Designed mRNA Cancer Therapy Meets Phase 3 Endpoints

Intismeran plus Keytruda delayed melanoma recurrence in Phase 3. Here is what AI designed, what the topline result proves, and what remains unknown.

Drift Is a Clue, Not a Verdict: Monitoring AI After Deployment
August 20, 2026•13 min read

Drift Is a Clue, Not a Verdict: Monitoring AI After Deployment

A field guide to baselines, delayed outcomes, change attribution, and deciding when deployed AI should be watched, constrained, rolled back, or rebuilt.

No Secret Before Proof: Confidential Computing for AI
August 19, 2026•14 min read

No Secret Before Proof: Confidential Computing for AI

A decision guide to trusted execution, remote attestation, workload-bound channels, and secret release for sensitive AI inference and training.

The Recovery Cut: Rebuilding AI Systems Without Mixing Timelines
August 18, 2026•14 min read

The Recovery Cut: Rebuilding AI Systems Without Mixing Timelines

A field guide to recovery points, state classification, rebuildable indexes, external-effect reconciliation, and drills for stateful AI systems.

The Borrowed Credential: How AI Agents Get Access Without Holding Secrets
August 17, 2026•14 min read

The Borrowed Credential: How AI Agents Get Access Without Holding Secrets

A field guide to workload identity, token exchange, scoped credentials, connector proxies, and evidence when AI agents need temporary access to enterprise systems.

The Tenant Boundary: Isolation for Shared AI Systems
August 16, 2026•14 min read

The Tenant Boundary: Isolation for Shared AI Systems

A field guide to deciding what may be pooled, what must be siloed, and how to keep retrieval, memory, caches, tools, logs, and evaluations inside the right customer boundary.

The Fact Was True, But When? Time Semantics for AI Systems
August 13, 2026•14 min read

The Fact Was True, But When? Time Semantics for AI Systems

A practical architecture for separating event, observation, record, snapshot, decision, and action time so AI systems can reason honestly about changing facts.