Tutorials
Step-by-step implementation notes for builders and teams.
RAG quality, retrieval architecture, hybrid search, reranking, and monitoring for document AI systems.
2 articles Coding agents & developer workflowsEvaluation, sandboxing, code review, security, and adoption practices for AI coding agents.
1 articles AI productivity & business operationsSupport, sales, meetings, spreadsheets, and everyday operational AI workflows for teams.
1 articles Creative, multimodal & document AICreative production, multimodal QA, document extraction, video AI, and brand-safe asset workflows.
A simple evaluation loop for AI coding agents
A builder-focused tutorial for testing coding agents with repository task sets, sandbox constraints, review gates, and regression checks.
Chunking strategy guide for RAG systems that need trustworthy citations
A practical guide to chunk size, overlap, document structure, metadata, and citation behavior for retrieval-augmented generation.
Document extraction QA guide for invoices, contracts, and forms
A practical guide to QA for AI document extraction, including schemas, sampling, confidence thresholds, exception handling, and audit trails.
A RAG evaluation playbook before your document assistant goes live
A step-by-step tutorial for building grounded RAG test sets, citation checks, retrieval diagnostics, freshness rules, and regression gates.
Prompt evaluation playbook for teams that cannot afford silent regressions
A tutorial for building prompt evals, golden tasks, grader rubrics, and release gates for production AI workflows.
Support automation rollout guide from pilot to governed production
A rollout plan for AI support automation covering knowledge readiness, routing, escalation, QA sampling, feedback loops, and policy updates.