What would a serious AI product look like?
What happened
The author argues that current AI chat and coding tools lack critical features for serious work, often presenting themselves as more capable than they are. They note that all major chatbots include fine‑print warnings about mistakes, but these do not help users verify important information. The writer proposes a concrete feature: a two‑column worksheet with checkboxes beside each claim, allowing users to record verification steps before marking a claim as trusted. They suggest similar verification affordances for coding assistants to check code before running tests, reducing wasted compute and token costs.
Why it matters
Without such verification tools, users may unknowingly rely on incorrect AI output, leading to errors in research or software development. Adding structured checking could make AI assistants safer and more trustworthy for practical tasks.
Reality check
An automated, sceptical read of the sourceIncremental. The article critiques existing products and suggests modest usability improvements rather than introducing fundamentally new technology.
Is this a big deal?
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