Archive / Automation & agents
A 1960 paper argued computers should share decisions with people
Licklider's Man-Computer Symbiosis proposes cooperative decision-making, not machines resembling language models.
3 min readAutomation & agents
An automation needs more than a happy-path demonstration. Give each event an identity, contain retries, make approval meaningful and test changes before widening the scope.
Stop retries, webhook repeats, and double clicks from creating duplicate business records or actions.
Keep an automation from hammering a failing service or losing records that cannot complete automatically.
Add human review to a consequential workflow without creating blind approvals or permanently stuck runs.
Change a live automation without discovering mapping or logic errors across the entire workload at once.
Read the original chapter with its caveats. Or use the work tools to make the next decision explicit.
Archive / Automation & agents
Licklider's Man-Computer Symbiosis proposes cooperative decision-making, not machines resembling language models.
3 min readArchive / Automation & agents
Weizenbaum's ELIZA paper explains the pattern-matching script and flags how readily users assumed it understood them.
3 min readArchive / Automation & agents
OpenAI's own announcement and safety card show why Operator asked a human to confirm before finishing consequential actions.
3 min readArchive / Automation & agents
Anthropic's launch post and tool documentation both name specific computer-use failure modes rather than smoothing over them.
3 min readArchive / Automation & agents
OpenAI's launch post and its connector-permissions documentation describe where agent mode pauses for a person and where it does not.
3 min readArchive / Automation & agents
Make's own documentation distinguishes an AI-agent module from a fixed scenario step and names what still needs a human check.
3 min read