Workflow covers automation beyond a single tool: connecting systems, sequencing steps, deciding where a human must approve, and handling errors that would otherwise pass silently. Examples are built, run for weeks, then reported with breakage included. For operations leads automating work without engineering support.
Automation chains built and stress-tested end to end: triggers, handoffs, review steps and the failure modes that appear only after a month of use.
Each vendor now ships a memory feature that carries context between chats. Here's what each one stores, what it doesn't, and how to turn it off, according to OpenAI, Anthropic, and Google's help pages as of August 2026.
"Trust but verify" is a slogan; a workflow is tiers — which claims need checking, against what source, at which moment — and the design spends your skepticism where mistakes actually cost.
Speech recognition is now accurate enough to be your fastest way with long text — the professional version pairs it with an editing pass, a punctuation habit, and an honest map of where speech beats keys and loses.
Context switching is the tax; batching is the refund — collecting the week's writing tasks into one assistant session buys the focus research documents and costs you one checklist of inputs to prepare.
Retrieval-augmented generation — find the right passages, then have the model answer from them — is the documented engine inside every serious document Q&A tool, and understanding the two-step explains both the magic and the failures.