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The Tech Gazette

Learn: Evals

Vol. I No. 26 Saturday, October 17, 2026 Closing 12:53 PM UTC · next edition 10:00 AM UTC

Measuring what a model or agent does.

5 steps to the basics

Start here

  1. Define success and build testsAnthropic · Deciding what good looks like before you measure it.
  2. EvaluationsOpenAI · Running an eval against your own prompts and data.
  3. The LLM evaluation guidebookHugging Face · Benchmarks, judges and their pitfalls, explained.
  4. A statistical approach to model evaluationsAnthropic · Error bars: telling a real gain from noise.
  5. InspectUK AI Security Institute · An open framework for writing and running evals.

New for beginners

  1. AWS Migration & ModernizationOct 15, 2026
    How to plan your migration to the AWS Region in Saudi Arabia
  2. AnacondaOct 5, 2026
    The Hidden Line in the Footer: How to Stop AI Agents From Following Bad Instructions

Go deeper

  1. AWS Machine LearningOct 16, 2026
    Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore
  2. AWS Machine LearningOct 14, 2026
    Deploy and evaluate models with Amazon SageMaker JumpStart
  3. ArizeOct 13, 2026
    EU AI Act compliance for AI agents: a practical engineering guide
  4. AWS Machine LearningOct 13, 2026
    Build long-horizon agents with Grok 4.7 on Amazon Bedrock
  5. CoreWeaveOct 13, 2026
    Tutorial: Benchmarking GPT-6 Astra vs Claude Fable 5.1 vs GPT-5.6 Sol using W&B Weave
  6. ArizeOct 12, 2026
    How to test agent tool descriptions with Harbor and Phoenix
  7. ArizeOct 9, 2026
    Alignment is a human-AI workflow: how Custom Views make agent review possible
  8. AWS Machine LearningOct 9, 2026
    ICYMI: What landed for AI builders in September 2026
  9. DigitalOcean TutorialsOct 9, 2026
    Game-Based Benchmarks for LLMs: How Models Behave Beyond the Leaderboard
  10. AnacondaOct 8, 2026
    How to Manage Generative AI Risk With NIST AI 600-1, in Six Steps
  11. DigitalOcean TutorialsOct 8, 2026
    How to Find Real Failures in AI Agents with Signals and Test Them with Evaluations
  12. Stack Overflow BlogOct 7, 2026
    Part 4: Safety and governance for LLM systems: guardrails, PII, audit, and memory
  13. Stack Overflow BlogOct 7, 2026
    Part 2: Evals as a deployment gate — and how to know when they drift
  14. Microsoft FoundryOct 7, 2026
    Azure Document Intelligence and Azure Content Understanding: a practical guide
  15. EarthlyOct 7, 2026
    AI Code Reviewers vs. Guardrail Engines: Where each fits
  16. DatadogOct 7, 2026
    How we replaced our host vulnerability scanner with the Datadog Agent
  17. AWS Cloud OperationsOct 6, 2026
    Control investigation costs before they start with AWS DevOps Agent
  18. ArizeOct 6, 2026
    What agent traces can tell you without an LLM judge
  19. OpenAIOct 6, 2026
    Advancing computer use with Ironclad
  20. AWS Machine LearningOct 5, 2026
    Evaluating multi-agent systems for explainability and helpfulness with Amazon Bedrock AgentCore
  21. ArizeOct 5, 2026
    How we benchmark AI agents and tools with Harbor and Arize Phoenix
  22. Claude BlogOct 5, 2026
    How Cresta turned CX expertise into an agent builder on the Claude Agent SDK
  23. LaunchDarklyOct 3, 2026
    AI Model Management in Production: A Practical Workflow
  24. CoreWeaveOct 2, 2026
    Why Open Models Can Win on Enterprise Cost and Control
  25. ArizeOct 2, 2026
    Claude’s hillclimb loop for AI agents: start with production traces
  26. MariaDB FoundationSep 30, 2026
    MariaDB Foundation: Why Test Case Tags Matter in TAF
  27. WarpSep 30, 2026
    Terraform for agents: how we define our software factory in code
  28. ArizeSep 30, 2026
    Building production-ready AI agents with Atlas Agent Engine and Arize AX
  29. Elasticsearch LabsSep 30, 2026
    Using Jev as a search reranker: benchmarks and how to implement
  30. Auth0Sep 29, 2026
    Integrating Claude Code with Auth0 APIs
  31. Stack Overflow BlogSep 28, 2026
    Why model versioning is not enough for production AI
  32. ArizeSep 24, 2026
    How to build a remote evaluator in Arize AX with Jev
  33. Grafana LabsSep 24, 2026
    What if your agent's hallucinations had a budget? How to start using SLOs for agent behavior
  34. ElasticSep 24, 2026
    Trust, but verify: Atomic claim checking against LLM hallucinations
  35. DatadogSep 24, 2026
    Using TypeSafe’s Jev for evals in Datadog Agent Observability
  36. TwilioSep 24, 2026
    How to Test and Fix Voice AI Agent Prompts with Twilio Conversation Relay and Cekura
  37. PydanticSep 23, 2026
    High-volume AI scoring with Jev and Pydantic Evals
  38. LangChainSep 22, 2026
    The Reliability Layer for Healthcare AI: Common LangSmith Use Cases
  39. AWS Machine LearningSep 22, 2026
    Evaluate skill-equipped agents with Strands Evals and Amazon Bedrock AgentCore
  40. AWS Machine LearningSep 22, 2026
    Right-size generative AI endpoints with concurrency sweeps on Amazon SageMaker AI

Advanced

  1. Microsoft FoundryOct 13, 2026
    Azure Content Understanding Prebuilt Analyzers: packaging domain knowledge for document AI
  2. ExpoOct 8, 2026
    Your skills need an evaluation mechanism
  3. Jane Street Tech BlogOct 5, 2026
    Scaling and benchmarking a critical message bus using a new indexing strategy
  4. ArizeOct 2, 2026
    Prompt caching benchmark: high cache reuse doesn’t always mean lower cost
  5. CoreWeaveOct 1, 2026
    Agentic workflows in production: Mechanisms, trade-offs, costs and design patterns
  6. LanceDBOct 1, 2026
    How Jev Compares to Other Rerankers
  7. CometSep 29, 2026
    Jev vs. LLM-as-a-Judge for AI Evals
  8. ClickHouseSep 28, 2026
    Can your Postgres survive a bad query?
  9. AWS Machine LearningSep 25, 2026
    NarrateAI: production-ready LLM quality assurance on Amazon Bedrock
  10. Inside JavaSep 25, 2026
    The Limitations of Running a Workload Generator In the Same JVM as the System-Under-Test
  11. NVIDIA DeveloperSep 23, 2026
    How SWE-Serve Exposes the Gap Between Local Tests and Live Serving
  12. AMD ROCmSep 22, 2026
    Benchmarking Kimi-K3 Across vLLM, SGLang, and ATOM on MI350X
  13. LangChainSep 21, 2026
    Can Jev Be a Better Agent Evaluator?
  14. NVIDIA DeveloperSep 18, 2026
    Benchmarking LLM Inference at Scale with AIPerf
  15. Mozilla.aiSep 17, 2026
    Benchmarking Local LLM Servers: llama.cpp, llamafile, LM Studio, and Ollama

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