AI and work
The AI sources in AskNex's corpus were written by people who use the tools daily and are candid about what they cost. They agree that AI raises the floor and can lower the ceiling, and they disagree about how much of a craft can be delegated before the judgement behind it erodes.
AskNex is independent of the authors and publishers it draws on. The books listed here are sources AskNex has read and mapped; the ideas are described in AskNex's words, never quoted, and reading the originals remains the deeper path.
Problems in this topic
The recurring situations AskNex has mapped here. Each opens an orientation built from the books below.
The sources
The books AskNex has read and mapped for this topic, in editorial order.
Ideas that recur
The concepts the most books in this topic contribute to. Where several sources meet is where the arguments happen.
Working with AI
Using a fast, fallible model as a collaborator whose strengths are uneven and must be mapped.
AI-assisted software engineering
Specifying, steering and verifying code produced by a model, rather than typing it.
Career capital
Rare and valuable skills bought with sustained effort, then spent on autonomy.
Human judgement with AI
Keeping the expertise that lets you evaluate what a model produces, instead of outsourcing the judgement.
Software quality and review
Correctness, maintainability and safety of software, which a fast first draft does not supply.
Cognitive bias
Fast intuitive judgement is efficient and predictably wrong in known ways.
Validated learning
Treating a venture as a series of tests rather than a plan to execute.
Bring the problem.
AskNex brings the sources.
Describe what you are actually trying to resolve in this area and AskNex writes a brief from these sources: where they agree and disagree for your case, and what to do next.
“How do I use AI at work without losing my own judgement?”
Free to ask. The brief is generated only when you run it, and kept to your account if you sign in.