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Human-in-the-Loop Workflows for AI Agent Evaluation: Complete Guide
A practical guide to human-in-the-loop workflows for AI agent evaluation: how SMEs review AI agent failures, align automated metrics, and improve evaluation datasets.
Kritin Vongthongsri
LLM Product Manager Workflows: A Complete Guide to AI Quality
A practical guide to LLM product manager workflows, built around the two things PMs can finally do without waiting on engineering: build on the AI product by editing prompts, running evals, and comparing variants, and monitor quality with dashboards, signals, and shareable evidence.
Kritin Vongthongsri
The Complete Guide to LLM Experimentation: Compare Prompts, Models, and Agents
A practical guide to running LLM experiments across prompts, models, tools, datasets, metrics, production A/B tests, and human-in-the-loop feedback loops.
Kritin Vongthongsri
LLM Evaluation for Startups: The Complete Guide
A practical LLM evaluation guide for startups: build a small dataset, use the 2 + 3 metric rule, run CI/CD evals, and grow coverage from production signals and human review.
Kritin Vongthongsri
Three Ways AI Systems Fail Even When Evals Pass
AI systems can pass evals while still behaving incorrectly. This post explores three common failure modes that slip through output-based evaluation.
Brian Neville-O'Neill
Your AI Agent Passed Evals. That’s the Problem.
Passing evals doesn’t mean your system works. It means your tests didn’t catch how it fails.
Brian Neville-O'Neill
Launch Week Day 5 (5/5): Generate Datasets from Your Data Sources
Your best evaluation data already exists — it's sitting in Google Drive, SharePoint, Notion, and S3. Dataset generation on Confident AI turns your existing documents into evaluation-ready datasets automatically.
Jeffrey Ip
Launch Week Day 4 (4/5): Auto-Categorize Traces & Threads
You can't improve what you can't see. Auto-categorization tells you what your users are actually asking, detects response drift, and shows you which categories perform best — and which ones need help.
Jeffrey Ip
Launch Week Day 3 (3/5): Auto-Ingest Traces into Datasets & Annotation Queues
Production traces are the best dataset you’ll ever get — but most teams never turn them into one. With auto-ingest, your traces flow straight into datasets and annotation queues, continuously.
Brian Romain
Launch Week Day 2 (2/5): Scheduled Evals
Everyone agrees evals should run regularly. But nobody remembers to actually run them. Scheduled Evals fixes that — set the frequency, configure your mappings, and never scramble before a release again.