Machine Definitions
A reusable setup for a virtual computer: its software, tools, and instructions. Teammates can start with the same setup without configuring it again.
FOR OPERATIONS TEAMS
A working environment built around your team.
Connect the apps you already use. Build the workspace you wish existed.
Give your agents a whole computer to get the work done.
Build an AI agent for the work you do every week. Connect your tools, launch it in Thinair, and work alongside it.
Describe the job to Claude or Codex. Build the instructions, tools, and a simple interface around the way you work.
“Build me an agent that reviews our pipeline and drafts the follow-ups.”
Launch it in a Thinair Machine: a computer with its tools, files, and connected accounts ready to work.
Ask for the work you need. Review the results, edit a draft, or open the same tools and work alongside your agent.
One example: your weekly pipeline review. Start with the job you need done.
Build your first agentYour AI experts build it.
Everyone else can run it.
The right tools, skills, and tested workflows, together in a reusable Machine Definition. Ready for your team to launch with authorized access.
One person figures it out.
$ verify reporting-workflowChecks passed Shared setup. Repeatable launches.
A Profile supplies the login credentials and settings for the Machine.
August 2026 · Monthly report
Revenue change by customer segment
rev_change_last_month(segment)Same workflow. Each person’s own Machine.
Explore the pieces behind the workflow.
Built to use again.
A reusable setup for a virtual computer: its software, tools, and instructions. Teammates can start with the same setup without configuring it again.
Save a copy of a computer’s files and installed software. Start from that copy later without setting everything up again.
Written instructions that tell AI how your company does a task. Teammates can reuse them instead of explaining the process again.
Software that lets AI work through a task. It sends instructions to the AI, runs the tools it requests, and returns the results.
Programs AI can use to read files, browse websites, query databases, or run code.
A record of your requests, the AI’s responses, and your corrections. Your team can review how the work was done.
Save the requests, corrections, tools used, and results your team reviewed. These records can become examples for testing and training AI to do your company’s work.
Thinair’s forward deployed engineers work with your organization to connect the tools, prepare the Machines, and get a real workflow running.
Bring us the spreadsheet, the handoff, or the recurring process that takes too much of your team’s time.
Map the tools, decisions, and review steps with the people doing the job.
Connect your systems and prepare the custom application, agent tools, and reusable Machine Definition.
Run real work together. Measure time spent and output quality, then refine the setup.