Start here Understanding dots
Meet the agent that keeps the work moving.
An always-on agent changes how you hand off work. The useful question is which responsibility you can define, supervise, and evaluate.
What is an OpenAI dot?The implementation journal
Issue 01 September 2026OpenAI dots agents.
Made practical.
Understand the technology. Ask better questions. Build a working plan for your business.
Independent guides to dots, AI agents, and the decisions that make implementation work.
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01 / A working model
A clear
responsibility.
Approvedresponsibility.
sourcesAgent
workHuman
reviewAccepted
result
Define. Connect. Review. Repeat.
Before the first workflow
The essential reading.
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.
Permissions, app access, and the right to take action
A business guide to separating connected accounts, app actions, instructions, custom rules, and OpenAI dots action review.
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.
A starting point for every size
Same technology.
Different starting lines.
Your first workflow should fit the way your business actually operates.
Beyond the demonstration
Make the work dependable.
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.
Manufacturing AI: connect the information, respect the controls
An implementation framework for manufacturing AI across business systems and operational technology, including integration and safety boundaries.
Choosing an AI implementation partner in Nashville and Tennessee
A buyer checklist for comparing AI implementation partners on scope, integration, ownership, evaluation, and ongoing support.
Follow your question
Understanding dotsImplementationBusiness adoptionPermissions & governanceIndustrial AIOur point of view
Useful answers.
Visible sources.
New capabilities deserve careful explanations. Our guides separate documented product behavior from implementation advice, label illustrative examples, and make source dates visible.
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