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FOR OPERATIONS TEAMS

Your tools.
Your way of working.

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 your operations agent
YOUR AGENTS. YOUR MACHINE.Everything comes together.
THE TOOLS YOU
ALREADY WORK WITH
GmailOutlookHubSpotSlackSalesforceMailchimp
Through their APIs,
CLIs, and MCP tools.
01AI AGENTS FOR OPERATIONS

Build an agent.
Put it to work.

Build an AI agent for the work you do every week. Connect your tools, launch it in Thinair, and work alongside it.

  1. Vibe code your agent.

    Describe the job to Claude or Codex. Build the instructions, tools, and a simple interface around the way you work.

    YOU

    “Build me an agent that reviews our pipeline and drafts the follow-ups.”

    Let’s build your pipeline agent.Your process. Your tools.
    ✓ Review instructions✓ Tool connections
  2. Launch your agent.

    Launch it in a Thinair Machine: a computer with its tools, files, and connected accounts ready to work.

    THINAIR MACHINEPipeline review
    HubSpotGmailSlack
    Instructions, files, and tools✓ Ready
    Agent running
  3. Use your agent.

    Ask for the work you need. Review the results, edit a draft, or open the same tools and work alongside your agent.

    Weekly pipeline review
    12accounts to follow up
    7email drafts ready
    NorthstarShare rollout plan
    Acme StudioConfirm scope
    Ready for your Monday meeting.

One example: your weekly pipeline review. Start with the job you need done.

Build your first agent
02 FROM ONE EXPERT TO EVERYONE

What your best people teach AI.
Your whole team can use.

Your 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.

01FIGURE IT OUT
EXPERT WORKSPACE01 / SOURCE
MC
Maya ChenAI engineer

Her working setupFour resources. One tested workflow.

Tested. Reviewed. Ready to share.

One person figures it out.

02MAKE IT REUSABLE
MACHINE DEFINITION

Revenue
Operations

v4 / Built by MayaReady
MANIFESTINSTALLED
$ verify reporting-workflowChecks passed

Shared setup. Repeatable launches.

A Profile supplies the login credentials and settings for the Machine.

03PUT IT TO WORK
AUTHORIZED PROFILERevenue Ops Granted to NoahReporting database / read-only role
THINAIR / MACHINE
NP
Noah ParkOperations
Revenue OperationsMachine preview
Explain last month’s revenue decline.
REVENUE INTELLIGENCE08 / 26

Revenue review

EXAMPLE OUTPUT

August 2026 · Monthly report

Revenue change by customer segment

20%10%0%-10%-20%EnterpriseMid-marketSMBPartner
Total revenue change
−7.4%
Active customers
−3.1%
QUERY ATTACHEDrev_change_last_month(segment)
Postgres / reporting_ro Definitions
Ready to launchExample report

Same workflow. Each person’s own Machine.

Interactive product preview / Illustrative team and workflow. Profile handoff and shared workflow experience show the product direction.
THE SHARED LIBRARY

Your company’s agentic resources. Together.

Explore the pieces behind the workflow.
Built to use again.

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.

Snapshots

Save a copy of a computer’s files and installed software. Start from that copy later without setting everything up again.

Skills

Written instructions that tell AI how your company does a task. Teammates can reuse them instead of explaining the process again.

Harnesses

Software that lets AI work through a task. It sends instructions to the AI, runs the tools it requests, and returns the results.

Tools

Programs AI can use to read files, browse websites, query databases, or run code.

Conversations

A record of your requests, the AI’s responses, and your corrections. Your team can review how the work was done.

FROM WORK TO TRAINING DATA

Better workflows today.Your own training data for tomorrow.

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.

01Recorded work02Reviewed examples03Your training data
03BUILT WITH YOUR TEAM

We’ll build the first one
with you.

Thinair’s forward deployed engineers work with your organization to connect the tools, prepare the Machines, and get a real workflow running.