Trillion

Trillion use cases

Real jobs people get done with Trillion and the AI they already use, each with the Trillion pieces it uses and how it works step by step.

In this list

  • Work through a hard decision with the AI you already use

    A big choice (a hire, a price, a move) gets talked about in a chat and the reasons are lost a week later.

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  • Draft posts with your AI and publish only what you approve

    Writing for every channel takes hours, and an AI posting on its own is a risk.

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  • Publish a comparison or directory site from a list

    Building and updating dozens of pages by hand means they go stale.

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  • Run a CRM your AI keeps up to date

    Customer notes are spread across email, chats and a spreadsheet nobody updates.

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  • Share a project space with a client

    Client work lives in email threads, and you never know what the client can see.

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  • Hand work from one AI to another

    Work started in one AI chat gets stuck there when you switch apps or the chat ends.

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  • Run something every morning, or when something happens

    Routine work only happens when you remember to ask for it.

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  • One link in bio that tells you which post brought each sign-up

    You post everywhere and cannot tell which post or place brings people in.

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  • Keep one memory across ChatGPT, Claude and Codex

    You explain your goals to ChatGPT in the morning and to Claude in the afternoon, and each one starts from nothing.

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  • Find the right person and ask for an introduction

    Cold messages get ignored, and you do not know who in reach could help.

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  • Build a tool once and use it in every AI

    A useful script lives in one chat or one folder and the next AI cannot use it.

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  • Turn recordings into searchable notes

    Voice memos and videos pile up and nobody can find what was said in them.

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  • Send a contract that is signed and paid without an account

    Clients stall when they have to sign up for yet another tool just to sign and pay.

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