Insights

Clear Thinking for Better AI Decisions

Practical guidance for leaders choosing, building and operating AI solutions—written from engineering experience.

Production Engineering Insights

Evidence-backed articles on what it takes to make AI work in production.

Business Value

Where Enterprise Knowledge Assistants Create Measurable Value

How knowledge assistants create value across support, operations, compliance and research.

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Architecture

RAG, Fine-Tuning or Workflow Logic: Choosing the Right Approach

When each approach fits, and how to avoid over-engineering a solution.

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Business Value

How to Choose a Business Workflow for AI Automation

Which workflows are suitable for AI, and which are better left deterministic.

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Production Engineering

What an AI MVP Needs Before Production

The gap between a working prototype and a live system, and what to close first.

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Deployment & Economics

Measure Cost per Completed Workflow, Not Cost per Model Call

The real drivers of inference cost and the engineering that reduces it.

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Production Engineering

How to Improve LLM Response Time Without Losing Quality

Serving, batching, caching and routing strategies that reduce latency safely.

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Safety

Guardrails for AI Systems That Use Tools and Take Actions

Safety for systems that interact with untrusted content and take real actions.

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Safety

Prompt-Injection Controls for AI That Reads Files

How to prevent malicious file content from hijacking an assistant's behavior.

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Deployment & Economics

Cloud, Private or Hybrid AI: A Decision Framework

A decision framework based on data, latency, cost and control.

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Architecture

Why Deterministic Steps Make AI Workflows More Reliable

Where rules beat reasoning, and how to tell the difference.

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Architecture

Predictive AI or Generative AI: Which Fits the Decision?

How to choose between predictive and generative AI for a given business decision.

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Production Engineering

How to Evaluate an Enterprise RAG System

Retrieval quality, answer correctness and the measures that matter.

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