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15 results in articles and videos for “AI workflow”
- ArticleBehind the scenes
Every AI Workflow Needs a Human Exit
Build a human exit into every AI workflow. Use these five fields to stop unsafe automation, preserve context, and hand the decision to a real person.
- ArticleAI & Technology
Should AI-Assisted Articles Carry a Label?
Europe's AI transparency rules take effect August 2, 2026. Read the strongest arguments for and against labeling AI-assisted articles for readers.
- ArticleAI & Technology
ChatGPT Work Changes the AI Job: From Answering Questions to Finishing Work
ChatGPT Work explained: current availability, GPT-5.6 models, pricing, scheduled tasks, Sites, practical opportunities, risks, limits, and one test to try.
- ArticleAI & Technology
GPT-5.6 Sol Is Here: What OpenAI's New Model Family Costs—and What Ultra Really Means
OpenAI's GPT-5.6 family explained: Sol, Terra and Luna pricing, ChatGPT access, max and ultra modes, multi-agent risks, and one practical test.
- ArticleAI & Technology
Claude Opus 5 Is Here: Price, 1M Context, Agent Upgrades and the Limits to Watch
Claude Opus 5 is available now with a 1M-token context window and stronger agent work. See verified pricing, access, risks and one practical test.
- ArticleRyan's Take
Should Texas Require Employers to Disclose AI Screening Before You Apply?
Texas restricts some harmful AI uses, but job applicants may not get notice before automated screening. Should employers have to disclose it first?
- ArticleAI & Technology
NotebookLM Is Now Gemini Notebook: What Its Secure Cloud Computer Can—and Cannot—Do
Google renamed NotebookLM to Gemini Notebook and added cloud code execution, Gemini 3.5 and new exports. See access, price, risks and one practical test.
- ArticleBusiness & Technology
Every Automation Needs a Failure Receipt
A workflow is not trustworthy because it ran once. Build four visible receipts so automation failures create an owner, a record, and a next move.
- ArticleRebuild
The Moth in the Machine Was Not the First Bug
A moth found in Harvard’s Mark II on September 9, 1947 became computing folklore. The real lesson is what the engineers preserved after the failure.
- ArticleAI & Technology
ChatGPT Voice Now Controls Work and Codex on Desktop: Availability, Credits and Risks
ChatGPT Voice can now steer Work and Codex on desktop. See current availability, the separate voice and task meters, risks and one safe test.
- ArticleBusiness & Technology
A Thank-You Page Should Tell the Lead What Happens Next
Submitted is a system status, not a customer promise. Build a thank-you page that creates clarity, evidence, and a clean next step for every lead.
- ArticleBusiness & Technology
Every New Lead Needs One Named Owner
Most leads are lost after the form, not on it. Use this five-handoff audit to assign one owner, one deadline, and one visible next move for every inquiry.
- ArticleBusiness, Systems & Design
Harry Beck Made London Legible by Leaving Most of London Out
Harry Beck made London’s Underground usable by replacing geographic detail with a clear network diagram. The lesson still applies to business systems.
- ArticleBusiness, Systems & Technology
The First FedEx Night Moved 186 Packages Through One Hub
FedEx began with 14 aircraft, 389 workers, and only 186 packages. Its hub system showed why connected operations can matter more than isolated effort.
- ArticleThe Work
The Part of the Software That Says No
Anybody can build the part that takes money. Four kinds of refusal inside a marketplace build, plus one labeling error on my own page that I am not going to quietly fix.
In the case files
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