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docs: Update testimonial references to all users (#228)
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@@ -26,7 +26,7 @@ Goose is your on-machine developer agent, working for you, on your terms
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<p align="center">
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<a href="#unique-features-of-goose-compared-to-other-ai-assistants">Unique features</a> 🤖 •
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<a href="#what-block-employees-have-to-say-about-goose"> Block Employees on Goose</a> <img src="docs/assets/logo.png" height="15" width="15" alt="Block Emoji"/> •
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<a href="#what-users-have-to-say-about-goose"> Testimonials on Goose</a> 👩💻 •
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<a href="#quick-start-guide">Quick start guide</a> 🚀 •
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<a href="#getting-involved">Getting involved!</a> 👋
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</p>
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@@ -64,7 +64,7 @@ started!
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- **Extensibility**: Open-source and fully customizable, Goose integrates with your workflow and allows you to extend it for even more control. **Toolkits let you add new capabilities to Goose.** They are anything you can implement as a Python function (e.g. API requests, deployments, search, etc). We have a growing library of toolkits to use, but more importantly you can create your own. This gives Goose the ability to run these commands and decide if and when a tool is needed to complete your request! **Creating your own toolkits give you a way to bring your own private context into Goose's capabilities.** And you can use *any* LLM you want under the hood, as long as it supports tool use.
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## What Block employees have to say about Goose
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## What users have to say about Goose
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> With Goose, I feel like I am Maverick.
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>
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@@ -150,7 +150,7 @@ Now you are interacting with Goose in conversational sessions - think of it as l
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### Running a goose tasks (one off)
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You can run goose to do things just as a one off, such as tidying up, and then exiting:
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You can run goose to do things just as a one off, such as tidying up, and then exiting:
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```sh
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goose run instructions.md
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@@ -221,7 +221,7 @@ We have some experimental IDE integrations for VSCode and JetBrains IDEs:
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**Goose as a Github Action**
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There is also an experimental Github action to run goose as part of your workflow (for example if you ask it to fix an issue):
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There is also an experimental Github action to run goose as part of your workflow (for example if you ask it to fix an issue):
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https://github.com/marketplace/actions/goose-ai-developer-agent
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**With Docker**
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