GenAI Consulting
Insights

Building with Generative AI

Practical guides, architecture notes, and lessons from shipping GenAI to production.

Admission Control for Production GenAI Requests

Admission Control for Production GenAI Requests

How to route requests before orchestration: lightweight prompts, full RAG, multi-step agents or fast refusal, based on risk and value.

GenAI Consulting24 min read
Handling Partial Failure in LLM Toolchains

Handling Partial Failure in LLM Toolchains

How to keep GenAI systems resilient when retrieval, rerankers, tools, memory or validators fail, with fallbacks, timeouts and recovery design.

GenAI Consulting25 min read
Schema Evolution for Production LLM Systems

Schema Evolution for Production LLM Systems

How to roll out changes to prompts, tools, retrieval payloads and structured outputs in live LLM systems without breaking downstream consumers.

GenAI Consulting21 min read
Context Engineering for Production GenAI

Context Engineering for Production GenAI

How to assemble, rank, compress and order context in production GenAI to fit finite windows and cut hallucinations, latency and cost.

GenAI Consulting23 min read
Idempotent Tool-Calling Loops for LLM Agents

Idempotent Tool-Calling Loops for LLM Agents

How to build reliable agent tool loops with idempotency keys, safe retries, side-effect control, workflow state and compensating actions.

GenAI Consulting25 min read
Confidence Calibration: Answer, Abstain or Ask

Confidence Calibration: Answer, Abstain or Ask

How to set confidence and abstention policies for GenAI: uncertainty signals, threshold tuning, evals, UX patterns and observability.

GenAI Consulting24 min read
Hardening Structured Output Pipelines for LLMs

Hardening Structured Output Pipelines for LLMs

How to get reliable schema-bound LLM outputs with contract design, validation, repair, retries, evals, observability and downstream safety.

GenAI Consulting11 min read
Prompt Cache Architecture for Production LLMs

Prompt Cache Architecture for Production LLMs

How to cache prompts and responses in LLM apps to cut cost safely: semantic keys, invalidation, tenant isolation, freshness checks and guardrails.

GenAI Consulting23 min read
Versioning RAG Knowledge: Reindex and Roll Back

Versioning RAG Knowledge: Reindex and Roll Back

How to version the RAG knowledge layer with dual indexes, shadow rebuilds, retrieval diffing, rollback plans and release gates.

GenAI Consulting24 min read
Human-in-the-Loop Escalation for GenAI Systems

Human-in-the-Loop Escalation for GenAI Systems

When GenAI systems should stop, ask, defer or hand off to people, with escalation policies, queue design, SLAs and auditability.

GenAI Consulting23 min read
Drift-Proofing Production RAG Systems

Drift-Proofing Production RAG Systems

How to monitor and respond to drift in RAG: corpus changes, query shifts, retrieval regressions, grounding decay, and canary evals.

GenAI Consulting22 min read
End-to-End Observability for Production LLMs

End-to-End Observability for Production LLMs

How to trace retrieval, prompts, tool calls, routing and failures in production LLM systems so teams can debug regressions and tie quality to cost.

GenAI Consulting26 min read
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