Your first dot: a setup and acceptance checklist
Plan a bounded first OpenAI dots workflow with source access, permissions, review criteria, and a repeatable acceptance test.
Explore the topic 3 guides
Implementation.
Turn an interesting capability into a dependable working process. Explore setup, architecture choices, acceptance criteria, and the operational details that matter after a demonstration.
A suggested reading path
Make the next step small and testable.
Choose the simplest operating model that fits the requirement. Define the first output, connect the minimum sources, and test missing information as carefully as the successful path. Acceptance should leave a record another person can inspect.
Start with this guide →Dots, automation, or a custom agent: which fits the job?
A decision framework for choosing personal dots, deterministic workflow automation, and custom agent systems based on business requirements.
How to evaluate an agent before making the work recurring
Create meaningful acceptance cases for AI workflows and assess accuracy, source use, authorization, exceptions, and recovery.
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Understanding dots →Business adoption →Permissions & governance →Industrial AI →