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View all →Rate Limiting and Backoff for Reliable API Automations
Learn practical patterns for respecting API rate limits using throttling, retries, and backoff with jitter, so your automations run reliably without creating duplicate work or getting blocked.
Page Builder vs Structured CMS Fields: A Practical Decision Framework
Learn how to decide between freeform page building and structured CMS fields for a marketing site, using a simple decision matrix, a minimal content model, and workflow tips that scale.
Human-in-the-Loop Workflows for AI-Drafted Customer Support
A practical framework for using AI to draft customer support responses while keeping humans in control of accuracy, tone, and policy compliance. Learn a simple review workflow, a scoring rubric, and launch checklists you can reuse.
Build a Technical Baseline for Legacy Software (Before You Change Anything)
A technical baseline is a lightweight snapshot of how a legacy system works, how it behaves in production, and why key decisions were made. This guide shows a practical, small-team way to build one so modernization work is safer and easier to prioritize.
Output Constraints for AI Assistants: A Guardrail Pattern That Actually Scales
Learn a practical pattern for constraining AI assistant outputs using schemas, allowed actions, and validation loops so results stay safe and consistent without heavy infrastructure.
Monitoring LLM Features Without Heavy Infrastructure: Signals, Samples, and Alerts
A practical guide to monitoring LLM-powered product features using lightweight telemetry, targeted sampling, and simple alerting, without building a full MLOps stack.
Markdown vs Rich Text in a CMS: A Practical Decision Framework
A practical framework for choosing Markdown or rich text in your CMS, with decision criteria, common pitfalls, and a rollout plan that works for small teams.
Designing Idempotent Automation Jobs: How to Make Retries Safe
Learn how to design idempotent automation jobs so retries do not create duplicates, double charges, or repeated notifications. This guide covers practical patterns, a concrete example, and a checklist you can reuse.
Operational Logging for AI Automations: A Practical Review Loop
A practical guide to logging inputs, prompts, outputs, and decisions in AI-powered automations so you can debug failures, review quality, and improve safely without storing more data than you need.
CMS Roles and Permissions: A Practical Guide to Preventing Publishing Chaos
Learn how to design simple, durable CMS roles and permissions that keep publishing fast while reducing risk. This guide covers a minimal role set, common permission patterns, a concrete example, and a checklist you can reuse.