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Jet AI Agents - Build business AI agents in minutes

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Jet AI Agents is the AI builder that lets teams create business apps and AI agents on top of 200+ tools — without code. Work with agents like teammates directly in Slack, WhatsApp, or Telegram. Marketing, sales, operations, and support teams use Jet to build AI agents, AI workflows, and apps that don’t just display data — they take action. Teams use Jet to automate the workflows that matter most. AI agents your team will trust — because they built them themselves.

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As a founder, I’m tired of asking my engineers to build simple internal automations. If I can connect our BigQuery data to a Slack agent without a ticket, it changes our speed entirely. Grabbing the PH exclusive now to test this out.

how it is diffrent from n8n not able to get it

Maker

 thanks for question! the main difference is learning curve, you need literally minutes to start using it. and UX is suitable for any person, while n8n to mainly for tech

Love it! It feels like a natural fit since usually builders already wired up the data sources. Just curious, what does the “minutes” setup actually look like on day one?
Maker

 thanks for your feedback and question! After sign up you will see 2-5 steps onboarding which literally takes minutes:

  • select optional features (integration tools, image generation knowledge base, automations, etc.)

  • connect integrations your are interested in (usually clicking Sign In + authorizing account access)

  • (optional) uploading files to knowledge base

  • (optional) specifying tasks you want to execute periodically or on a schedule

  • (optional) connect your Slack/Telegram/etc. channel

  • Agent is ready to use, you can start messaging with it

Then you can continue with other features you might need (setting permission, connecting databases, sharing with team, deploy self-hosted, etc.)

"They take action" is doing a lot of work in that description. What's the permission/approval model look like? If a sales ops agent is updating CRM records or sending emails on behalf of a rep, there has to be some guardrail before it goes rogue. Is there a human-in-the-loop step baked in, or is that something builders have to wire up themselves?

Executing actions across 200+ internal tools without human triggers turns this from a dashboard into an actual backend worker. It is great to see a focus on autonomous data flow rather than just conversational wrappers. How do you handle rate-limiting and error recovery when an external API suddenly drops a connection during a multi-step task?

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