# Scarlett

> Scarlett is pitched not as another chatbot but as an AI coworker that actually does the work. It lives inside Slack and iMessage, the tools people already have open, and instead of just generating text it takes real actions: sending emails, updating CRMs and building reports through more than 3,000 integrations spanning Salesforce, HubSpot, Notion, Linear, Stripe and more. The distinction that matters is persistence. Rather than starting fresh each conversation, Scarlett maintains its own workspace and cloud compute, so it can carry a task through to completion in the background and hand you the result. That moves it closer to delegating to a capable assistant than prompting a model and copying the output yourself. For a small team or a busy operator, the appeal is obvious. You assign work in the chat app you never leave, and something on the other end turns the request into finished outputs across your stack. Whether it handles messy real-world tasks reliably is the open question, but the ambition is refreshingly concrete.

_Section: [New AI Tools](https://www.wortins.com/new-tools) · Source: Product Hunt · Published Monday, July 20, 2026_

## Wortins' read

Scarlett is pitched not as another chatbot but as an AI coworker that actually does the work. It lives inside Slack and iMessage, the tools people already have open, and instead of just generating text it takes real actions: sending emails, updating CRMs and building reports through more than 3,000 integrations spanning Salesforce, HubSpot, Notion, Linear, Stripe and more. The distinction that matters is persistence. Rather than starting fresh each conversation, Scarlett maintains its own workspace and cloud compute, so it can carry a task through to completion in the background and hand you the result. That moves it closer to delegating to a capable assistant than prompting a model and copying the output yourself. For a small team or a busy operator, the appeal is obvious. You assign work in the chat app you never leave, and something on the other end turns the request into finished outputs across your stack. Whether it handles messy real-world tasks reliably is the open question, but the ambition is refreshingly concrete.

## Source

[Read the full story at Product Hunt](https://www.producthunt.com/products/tryscarlett)

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