Business tasks, workflow use, adoption and checking useful results
What this shelf holds
Using AI on real work is mostly a checking problem. The tool produces something plausible in seconds; whether it is right, complete and worth the review time is the part that decides if the work got cheaper.
These pieces start from a task you already have: cleaning a customer list, deciding what an agent may do alone, working out whether a faster draft only moved the cost into review. Each one ends with something you can inspect.
Picked by the editor
Every business has one: the customer list that lives half in a spreadsheet, half in an inbox, and half in someone's head. Here is how to clean it in about twenty minutes, and — the part nobody teaches — how to prove the cleaning did not quietly drop forty rows.
Choose an agent task you can verify, bound its effects, and plan the handover. A practical delegation grid, six operating modes, and checks that can miss the real failure.
Build an AI workflow baseline that counts setup, review and repair, separates elapsed time from human effort, and keeps the task mix comparable.
Compare agent workflows by usable output, review time and the cost of the decision you are making. A token average alone cannot tell you what to build, route or keep running.
A customer number such as 00127 is an identifier. Turning it into 127 can break a perfectly tidy spreadsheet export. Give Claude Code a small synthetic CSV before asking it to clean the real file. Include an identifier with leading zeros, a blank amount, a…
Faster drafting can raise total cost if acceptance drops. Work the break-even arithmetic before you trust a lower per-call price.
Courses and chapters
Newest on this shelf
A blank sales figure can mean “not reported yet.” Zero can mean “reported, with no sales.” Combining them makes a complete-looking report less truthful. Before asking Claude Code to summarize a spreadsheet, write down the meaning of missing values for each…
The cheapest Claude Code session can be the expensive one if its output takes another hour to repair. Compare accepted results, not just token totals. Choose a repeatable task, such as adding a validation rule to a small import script. Record the session's…
Ronald Coase asked in 1937 why firms exist instead of markets. AI agents revive the question — and the old answer says the firm concentrates, not dissolves.
Claude Code can shorten implementation while adding review and recovery work. Use four delegation habits and a whole-task timing check to decide whether an agent improves the work you hand over.
Make agent work resumable from records: capture decisions, source revisions, test evidence and unresolved effects, then check whether another session can continue safely.
A Zero-Employee Organization is a firm where headcount is no longer the unit of scale. Here is the definition, the eleven-theory audit behind it, and the finding that only four verdicts survived being checked three times.
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