Articles

Your API can look "up" and still be broken. A health check returns 200, but real requests time out. The domain resolves on your laptop but not from another country. The port is open, but the TLS certificate expired last night. "Is the API up?" is not one question. It is several questions at different layers, and a single check type only answers one of them. This guide shows what HTTP, TCP, and DNS checks each catch, and how to combine them so you find out about downtime before your users do.

Why ClassQuill's founders run a real tutoring company on their own product before it ships to customers — and what that forces you to get right.

Turn long videos into viral YouTube Shorts, TikTok videos, and Instagram Reels with AI. Compare Opus Clip vs Klap to find the best AI video generator in 2026.

Most people hear "AI transcription" and assume bots, cloud uploads, browser-only capture, recordings, storage, and subscriptions. TrainScription was built around a different philosophy. This article explains the assumptions people bring to transcription tools, how TrainScription differs, and why those differences matter for people who want ownership, privacy, and control.

Learn how to add flexible payment plans to WooCommerce without offering credit. Discover how merchants can increase conversions, boost average order value, and automate layby payments using FlexiLay.

Many people assume that recording permissions are required to create a meeting transcript. In reality, recording and transcription are not always the same thing. This article explores the difference between meeting recordings and personal knowledge capture, why attendees often depend on permissions they don't control, and alternative ways to preserve important conversations.

Meeting bots have become one of the most common approaches to AI transcription, leading many people to assume they're required. They're not. This article explores how bots became associated with meeting transcripts, why that assumption persists, and the different ways modern transcription systems can preserve conversations without adding another participant to the call.

Should you use a browser extension or a desktop application for AI transcription? The answer depends on more than features. This article explores friction, workflow design, installation overhead, simplicity, and why the most useful transcription tools are often the ones that fit naturally into the way people already work.

Not all audio sources are equal. The quality of a transcript often depends on the quality of the audio being captured in the first place. This article explores the difference between direct digital audio capture and recording sound through speakers and microphones, and why source quality plays a critical role in transcription accuracy.

Many transcription tools require companion applications, meeting bots, browser-only workflows, or workarounds to capture conversations from Teams, Zoom, and Discord. This article explores a different approach to meeting transcription, one focused on direct capture, simplicity, and reducing the infrastructure required to preserve what matters from a conversation.