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Evaluation & Guardrails

Eval harnesses, safety layers, and continuous quality monitoring.

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Engineering Agentic Reliability •Part 4/4

Evals or Die: Unit Testing for Stochastic Systems

If you don't test it, you can't deploy it. But how do you unit test a probability engine? Strategies for 'LLM-as-a-Judge,' deterministic mocking, and continuous evaluation pipelines.

Tom Hundley

December 10, 2025

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Engineering Agentic Reliability

4 of 4 parts

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Engineering Agentic Reliability•Part 1/4

State Management: Why Chatbots Forget (And How to Fix It)

Why do chatbots forget context? The difference between vector 'memory' and true 'state.' How to use state machines (LangGraph) to maintain variable integrity across a 50-step process.

December 10, 2025

Engineering Agentic Reliability•Part 2/4

Robust Tool Definitions: Pydantic, JSON Schema, and MCP

If your tool definition is vague, your agent will fail. Best practices for Pydantic validation, error handling, and designing 'unbreakable' tools that recover gracefully from bad LLM calls.

December 10, 2025

Engineering Agentic Reliability•Part 3/4

The 'Reviewer Pattern': Automated QA for Agent Code

Never let an agent push code to production without a review. How to build a 'Critic' agent that reviews, lints, and rejects the work of the 'Builder' agent before a human ever sees it.

December 10, 2025

Engineering Agentic Reliability•Part 4/4

Evals or Die: Unit Testing for Stochastic Systems

If you don't test it, you can't deploy it. But how do you unit test a probability engine? Strategies for 'LLM-as-a-Judge,' deterministic mocking, and continuous evaluation pipelines.

December 10, 2025

Production AI Patterns

4 of 4 parts

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Production AI Patterns•Part 1/4

Context Window Management: LLM Memory in Production

Context windows are finite but conversations aren't. Learn production strategies for context management, summarization, and smart token utilization.

December 10, 2025

Production AI Patterns•Part 2/4

Prompt Engineering Patterns That Scale to Production

Move beyond prompt tricks to engineering discipline. Patterns for maintainable prompts, version control, testing strategies, and scaling to production.

December 10, 2025

Production AI Patterns•Part 3/4

Structured Outputs: JSON Mode and Reliable Data Extraction

LLMs return text, but systems need structure. Master JSON mode, function calling, and validation patterns for reliable structured output extraction.

December 10, 2025

Production AI Patterns•Part 4/4

LLM Evaluation: How to Know If Your AI Is Working

How do you know if your LLM is doing a good job? Evaluation metrics, benchmark selection, and practical approaches to measuring quality in production.

December 10, 2025

AI Engineering Foundations

2 of 4 parts

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AI Engineering Foundations•Part 3/4

RLHF Explained: Reinforcement Learning in Production AI

RLHF made ChatGPT useful. Understanding how reinforcement learning shapes AI behavior helps you understand what AI can—and can't—become in your organization.

December 10, 2025

AI Engineering Foundations•Part 4/4

AI Model Drift Detection: Keep Your Models Honest

Models don't fail all at once—they drift. Learn to detect data drift, concept drift, and model drift before small degradations become major production failures.

December 10, 2025

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